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    <title>pytorch Architecture Docs</title>
    <link>https://repos.supermodeltools.com/pytorch</link>
    <description>Architecture documentation for the pytorch codebase. Explore files, functions, classes, domains, and dependencies.</description>
    <language>en</language>
    <lastBuildDate>Thu, 12 Mar 2026 02:16:01 +0000</lastBuildDate>
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      <title>device Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-accumulatetype-h-device.html</link>
      <description>Architecture documentation for the device class in AccumulateType.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-accumulatetype-h-device.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>is_cuda Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-accumulatetype-h-is-cuda.html</link>
      <description>Architecture documentation for the is_cuda class in AccumulateType.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-accumulatetype-h-is-cuda.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>create_acl_quant_matmul Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-aclutils-h-create-acl-quant-matmul.html</link>
      <description>Architecture documentation for the create_acl_quant_matmul class in ACLUtils.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-aclutils-h-create-acl-quant-matmul.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>fetch_or_create_acl_quant_matmul Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-aclutils-h-fetch-or-create-acl-quant-matmul.html</link>
      <description>Architecture documentation for the fetch_or_create_acl_quant_matmul class in ACLUtils.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-aclutils-h-fetch-or-create-acl-quant-matmul.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>get_acl_quant_matmul Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-aclutils-h-get-acl-quant-matmul.html</link>
      <description>Architecture documentation for the get_acl_quant_matmul class in ACLUtils.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-aclutils-h-get-acl-quant-matmul.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>ReluFused Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-aclutils-h-relufused.html</link>
      <description>Architecture documentation for the ReluFused class in ACLUtils.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-aclutils-h-relufused.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>_rrelu_with_noise_train Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-activation-cpp-rrelu-with-noise-train.html</link>
      <description>Architecture documentation for the _rrelu_with_noise_train class in Activation.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-activation-cpp-rrelu-with-noise-train.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>Scalar Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-activation-h-scalar.html</link>
      <description>Architecture documentation for the Scalar class in Activation.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-activation-h-scalar.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>TensorBase Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-activation-h-tensorbase-2.html</link>
      <description>Architecture documentation for the TensorBase class in Activation.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-activation-h-tensorbase-2.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>TensorBase Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-activation-h-tensorbase.html</link>
      <description>Architecture documentation for the TensorBase class in Activation.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-activation-h-tensorbase.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>Adapter Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-adapter-h-adapter.html</link>
      <description>Architecture documentation for the Adapter class in Adapter.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-adapter-h-adapter.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>DeviceHandle Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-adapter-h-devicehandle.html</link>
      <description>Architecture documentation for the DeviceHandle class in Adapter.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-adapter-h-devicehandle.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>adaptive_avg_pool_single_out_frame Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-adaptiveaveragepooling-cpp-adaptive-avg-pool-single-out-frame.html</link>
      <description>Architecture documentation for the adaptive_avg_pool_single_out_frame class in AdaptiveAveragePooling.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-adaptiveaveragepooling-cpp-adaptive-avg-pool-single-out-frame.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>DIM Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-adaptiveaveragepooling-cpp-dim.html</link>
      <description>Architecture documentation for the DIM class in AdaptiveAveragePooling.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-adaptiveaveragepooling-cpp-dim.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>kSpatialDim Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-adaptiveaveragepooling-cpp-kspatialdim.html</link>
      <description>Architecture documentation for the kSpatialDim class in AdaptiveAveragePooling.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-adaptiveaveragepooling-cpp-kspatialdim.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>q_adaptive_avg_pool2d Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-adaptiveaveragepooling-cpp-q-adaptive-avg-pool2d.html</link>
      <description>Architecture documentation for the q_adaptive_avg_pool2d class in AdaptiveAveragePooling.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-adaptiveaveragepooling-cpp-q-adaptive-avg-pool2d.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>q_adaptive_avg_pool3d Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-adaptiveaveragepooling-cpp-q-adaptive-avg-pool3d.html</link>
      <description>Architecture documentation for the q_adaptive_avg_pool3d class in AdaptiveAveragePooling.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-adaptiveaveragepooling-cpp-q-adaptive-avg-pool3d.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>adaptive_avg_pool3d_backward_out_frame Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-adaptiveaveragepooling3d-cpp-adaptive-avg-pool3d-backward-out-frame.html</link>
      <description>Architecture documentation for the adaptive_avg_pool3d_backward_out_frame class in AdaptiveAveragePooling3d.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-adaptiveaveragepooling3d-cpp-adaptive-avg-pool3d-backward-out-frame.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>adaptive_avg_pool3d_out_frame Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-adaptiveaveragepooling3d-cpp-adaptive-avg-pool3d-out-frame.html</link>
      <description>Architecture documentation for the adaptive_avg_pool3d_out_frame class in AdaptiveAveragePooling3d.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-adaptiveaveragepooling3d-cpp-adaptive-avg-pool3d-out-frame.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>cpu_adaptive_avg_pool2d_backward_channels_last Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-adaptiveavgpoolkernel-cpp-cpu-adaptive-avg-pool2d-backward-channels-last.html</link>
      <description>Architecture documentation for the cpu_adaptive_avg_pool2d_backward_channels_last class in AdaptiveAvgPoolKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-adaptiveavgpoolkernel-cpp-cpu-adaptive-avg-pool2d-backward-channels-last.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>cpu_adaptive_avg_pool2d_backward Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-adaptiveavgpoolkernel-cpp-cpu-adaptive-avg-pool2d-backward.html</link>
      <description>Architecture documentation for the cpu_adaptive_avg_pool2d_backward class in AdaptiveAvgPoolKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-adaptiveavgpoolkernel-cpp-cpu-adaptive-avg-pool2d-backward.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>cpu_adaptive_avg_pool2d Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-adaptiveavgpoolkernel-cpp-cpu-adaptive-avg-pool2d.html</link>
      <description>Architecture documentation for the cpu_adaptive_avg_pool2d class in AdaptiveAvgPoolKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-adaptiveavgpoolkernel-cpp-cpu-adaptive-avg-pool2d.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>cpu_adaptive_avg_pool3d_backward_channels_last Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-adaptiveavgpoolkernel-cpp-cpu-adaptive-avg-pool3d-backward-channels-last.html</link>
      <description>Architecture documentation for the cpu_adaptive_avg_pool3d_backward_channels_last class in AdaptiveAvgPoolKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-adaptiveavgpoolkernel-cpp-cpu-adaptive-avg-pool3d-backward-channels-last.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>cpu_adaptive_avg_pool3d_backward Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-adaptiveavgpoolkernel-cpp-cpu-adaptive-avg-pool3d-backward.html</link>
      <description>Architecture documentation for the cpu_adaptive_avg_pool3d_backward class in AdaptiveAvgPoolKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-adaptiveavgpoolkernel-cpp-cpu-adaptive-avg-pool3d-backward.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>cpu_adaptive_avg_pool3d Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-adaptiveavgpoolkernel-cpp-cpu-adaptive-avg-pool3d.html</link>
      <description>Architecture documentation for the cpu_adaptive_avg_pool3d class in AdaptiveAvgPoolKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-adaptiveavgpoolkernel-cpp-cpu-adaptive-avg-pool3d.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>is_same_v Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-adaptiveavgpoolkernel-cpp-is-same-v.html</link>
      <description>Architecture documentation for the is_same_v class in AdaptiveAvgPoolKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-adaptiveavgpoolkernel-cpp-is-same-v.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>scalar_t Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-adaptiveavgpoolkernel-cpp-scalar-t.html</link>
      <description>Architecture documentation for the scalar_t class in AdaptiveAvgPoolKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-adaptiveavgpoolkernel-cpp-scalar-t.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>adaptive_max_pool3d_backward_out_frame Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-adaptivemaxpooling3d-cpp-adaptive-max-pool3d-backward-out-frame.html</link>
      <description>Architecture documentation for the adaptive_max_pool3d_backward_out_frame class in AdaptiveMaxPooling3d.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-adaptivemaxpooling3d-cpp-adaptive-max-pool3d-backward-out-frame.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>adaptive_max_pool3d_backward_single_out_frame Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-adaptivemaxpooling3d-cpp-adaptive-max-pool3d-backward-single-out-frame.html</link>
      <description>Architecture documentation for the adaptive_max_pool3d_backward_single_out_frame class in AdaptiveMaxPooling3d.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-adaptivemaxpooling3d-cpp-adaptive-max-pool3d-backward-single-out-frame.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>adaptive_max_pool3d_out_frame Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-adaptivemaxpooling3d-cpp-adaptive-max-pool3d-out-frame.html</link>
      <description>Architecture documentation for the adaptive_max_pool3d_out_frame class in AdaptiveMaxPooling3d.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-adaptivemaxpooling3d-cpp-adaptive-max-pool3d-out-frame.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>adaptive_max_pool3d_single_out_frame Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-adaptivemaxpooling3d-cpp-adaptive-max-pool3d-single-out-frame.html</link>
      <description>Architecture documentation for the adaptive_max_pool3d_single_out_frame class in AdaptiveMaxPooling3d.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-adaptivemaxpooling3d-cpp-adaptive-max-pool3d-single-out-frame.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>cpu_adaptive_max_pool2d_backward_channels_last Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-adaptivemaxpoolkernel-cpp-cpu-adaptive-max-pool2d-backward-channels-last.html</link>
      <description>Architecture documentation for the cpu_adaptive_max_pool2d_backward_channels_last class in AdaptiveMaxPoolKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-adaptivemaxpoolkernel-cpp-cpu-adaptive-max-pool2d-backward-channels-last.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>cpu_adaptive_max_pool2d_backward Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-adaptivemaxpoolkernel-cpp-cpu-adaptive-max-pool2d-backward.html</link>
      <description>Architecture documentation for the cpu_adaptive_max_pool2d_backward class in AdaptiveMaxPoolKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-adaptivemaxpoolkernel-cpp-cpu-adaptive-max-pool2d-backward.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>cpu_adaptive_max_pool2d Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-adaptivemaxpoolkernel-cpp-cpu-adaptive-max-pool2d.html</link>
      <description>Architecture documentation for the cpu_adaptive_max_pool2d class in AdaptiveMaxPoolKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-adaptivemaxpoolkernel-cpp-cpu-adaptive-max-pool2d.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>cpu_adaptive_max_pool3d_backward_channels_last Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-adaptivemaxpoolkernel-cpp-cpu-adaptive-max-pool3d-backward-channels-last.html</link>
      <description>Architecture documentation for the cpu_adaptive_max_pool3d_backward_channels_last class in AdaptiveMaxPoolKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-adaptivemaxpoolkernel-cpp-cpu-adaptive-max-pool3d-backward-channels-last.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>cpu_adaptive_max_pool3d_backward Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-adaptivemaxpoolkernel-cpp-cpu-adaptive-max-pool3d-backward.html</link>
      <description>Architecture documentation for the cpu_adaptive_max_pool3d_backward class in AdaptiveMaxPoolKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-adaptivemaxpoolkernel-cpp-cpu-adaptive-max-pool3d-backward.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>cpu_adaptive_max_pool3d Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-adaptivemaxpoolkernel-cpp-cpu-adaptive-max-pool3d.html</link>
      <description>Architecture documentation for the cpu_adaptive_max_pool3d class in AdaptiveMaxPoolKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-adaptivemaxpoolkernel-cpp-cpu-adaptive-max-pool3d.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>is_same_v Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-adaptivemaxpoolkernel-cpp-is-same-v.html</link>
      <description>Architecture documentation for the is_same_v class in AdaptiveMaxPoolKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-adaptivemaxpoolkernel-cpp-is-same-v.html</guid>
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      <title>scalar_t Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-adaptivemaxpoolkernel-cpp-scalar-t.html</link>
      <description>Architecture documentation for the scalar_t class in AdaptiveMaxPoolKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-adaptivemaxpoolkernel-cpp-scalar-t.html</guid>
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      <title>add Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-add-h-add.html</link>
      <description>Architecture documentation for the add class in add.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-add-h-add.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>C10_ALWAYS_INLINE Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-add-h-c10-always-inline.html</link>
      <description>Architecture documentation for the C10_ALWAYS_INLINE class in add.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-add-h-c10-always-inline.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>AddOperatorTester Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-add-operator-tester-h-addoperatortester.html</link>
      <description>Architecture documentation for the AddOperatorTester class in add-operator-tester.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-add-operator-tester-h-addoperatortester.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>checkQuantizedTensor Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-affinequantizer-cpp-checkquantizedtensor.html</link>
      <description>Architecture documentation for the checkQuantizedTensor class in AffineQuantizer.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-affinequantizer-cpp-checkquantizedtensor.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>checkZeroPoint Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-affinequantizer-cpp-checkzeropoint.html</link>
      <description>Architecture documentation for the checkZeroPoint class in AffineQuantizer.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-affinequantizer-cpp-checkzeropoint.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>checkZeroPoints Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-affinequantizer-cpp-checkzeropoints.html</link>
      <description>Architecture documentation for the checkZeroPoints class in AffineQuantizer.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-affinequantizer-cpp-checkzeropoints.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>dequantize_tensor Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-affinequantizer-h-dequantize-tensor.html</link>
      <description>Architecture documentation for the dequantize_tensor class in AffineQuantizer.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-affinequantizer-h-dequantize-tensor.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>quantize_tensor Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-affinequantizer-h-quantize-tensor.html</link>
      <description>Architecture documentation for the quantize_tensor class in AffineQuantizer.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-affinequantizer-h-quantize-tensor.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>checkZeroPoint Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-affinequantizerbase-cpp-checkzeropoint.html</link>
      <description>Architecture documentation for the checkZeroPoint class in AffineQuantizerBase.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-affinequantizerbase-cpp-checkzeropoint.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>dequantize_val Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-affinequantizerbase-cpp-dequantize-val.html</link>
      <description>Architecture documentation for the dequantize_val class in AffineQuantizerBase.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-affinequantizerbase-cpp-dequantize-val.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>float Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-affinequantizerbase-cpp-float.html</link>
      <description>Architecture documentation for the float class in AffineQuantizerBase.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-affinequantizerbase-cpp-float.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>precision Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-affinequantizerbase-cpp-precision.html</link>
      <description>Architecture documentation for the precision class in AffineQuantizerBase.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-affinequantizerbase-cpp-precision.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>quantize_val_arm Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-affinequantizerbase-cpp-quantize-val-arm.html</link>
      <description>Architecture documentation for the quantize_val_arm class in AffineQuantizerBase.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-affinequantizerbase-cpp-quantize-val-arm.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>quantize_val Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-affinequantizerbase-cpp-quantize-val.html</link>
      <description>Architecture documentation for the quantize_val class in AffineQuantizerBase.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-affinequantizerbase-cpp-quantize-val.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>requantize_from_int Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-affinequantizerbase-cpp-requantize-from-int.html</link>
      <description>Architecture documentation for the requantize_from_int class in AffineQuantizerBase.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-affinequantizerbase-cpp-requantize-from-int.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>requantize_val Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-affinequantizerbase-cpp-requantize-val.html</link>
      <description>Architecture documentation for the requantize_val class in AffineQuantizerBase.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-affinequantizerbase-cpp-requantize-val.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>DST_T Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-affinequantizerbase-h-dst-t.html</link>
      <description>Architecture documentation for the DST_T class in AffineQuantizerBase.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-affinequantizerbase-h-dst-t.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>float Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-affinequantizerbase-h-float.html</link>
      <description>Architecture documentation for the float class in AffineQuantizerBase.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-affinequantizerbase-h-float.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>precision Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-affinequantizerbase-h-precision.html</link>
      <description>Architecture documentation for the precision class in AffineQuantizerBase.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-affinequantizerbase-h-precision.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>quantize_val_arm Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-affinequantizerbase-h-quantize-val-arm.html</link>
      <description>Architecture documentation for the quantize_val_arm class in AffineQuantizerBase.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-affinequantizerbase-h-quantize-val-arm.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>aliasInfo Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-alias-info-h-aliasinfo-2.html</link>
      <description>Architecture documentation for the aliasInfo class in alias_info.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-alias-info-h-aliasinfo-2.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>AliasInfo Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-alias-info-h-aliasinfo.html</link>
      <description>Architecture documentation for the AliasInfo class in alias_info.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-alias-info-h-aliasinfo.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>AlignedAllocator Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-alignedallocator-h-alignedallocator.html</link>
      <description>Architecture documentation for the AlignedAllocator class in AlignedAllocator.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-alignedallocator-h-alignedallocator.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>Alignment Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-alignedallocator-h-alignment.html</link>
      <description>Architecture documentation for the Alignment class in AlignedAllocator.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-alignedallocator-h-alignment.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>construct Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-alignedallocator-h-construct.html</link>
      <description>Architecture documentation for the construct class in AlignedAllocator.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-alignedallocator-h-construct.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>destroy Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-alignedallocator-h-destroy.html</link>
      <description>Architecture documentation for the destroy class in AlignedAllocator.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-alignedallocator-h-destroy.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>Tensor Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-ampkernels-h-tensor.html</link>
      <description>Architecture documentation for the Tensor class in AmpKernels.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-ampkernels-h-tensor.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>kRank Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-aotriton-adapter-h-krank.html</link>
      <description>Architecture documentation for the kRank class in aotriton_adapter.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-aotriton-adapter-h-krank.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>Rank Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-aotriton-adapter-h-rank.html</link>
      <description>Architecture documentation for the Rank class in aotriton_adapter.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-aotriton-adapter-h-rank.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>ref Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-aotriton-adapter-h-ref.html</link>
      <description>Architecture documentation for the ref class in aotriton_adapter.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-aotriton-adapter-h-ref.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>size_ Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-array-h-size.html</link>
      <description>Architecture documentation for the size_ class in Array.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-array-h-size.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>ArrayRef Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-aten-fwd-h-arrayref.html</link>
      <description>Architecture documentation for the ArrayRef class in ATen_fwd.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-aten-fwd-h-arrayref.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <link>https://repos.supermodeltools.com/pytorch/class-aten-fwd-h-ilistref.html</link>
      <description>Architecture documentation for the IListRef class in ATen_fwd.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-aten-fwd-h-ilistref.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>List Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-aten-fwd-h-list.html</link>
      <description>Architecture documentation for the List class in ATen_fwd.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-aten-fwd-h-list.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <link>https://repos.supermodeltools.com/pytorch/class-aten-fwd-h-optionalarrayref.html</link>
      <description>Architecture documentation for the OptionalArrayRef class in ATen_fwd.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-aten-fwd-h-optionalarrayref.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <link>https://repos.supermodeltools.com/pytorch/class-aten-fwd-h-optionaltensorref.html</link>
      <description>Architecture documentation for the OptionalTensorRef class in ATen_fwd.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-aten-fwd-h-optionaltensorref.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-aten-fwd-h-scalar.html</link>
      <description>Architecture documentation for the Scalar class in ATen_fwd.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-aten-fwd-h-scalar.html</guid>
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      <title>Stream Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-aten-fwd-h-stream.html</link>
      <description>Architecture documentation for the Stream class in ATen_fwd.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-aten-fwd-h-stream.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <link>https://repos.supermodeltools.com/pytorch/class-aten-fwd-h-symint.html</link>
      <description>Architecture documentation for the SymInt class in ATen_fwd.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-aten-fwd-h-symint.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-aten-fwd-h-symintlist.html</link>
      <description>Architecture documentation for the SymIntList class in ATen_fwd.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-aten-fwd-h-symintlist.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-aten-fwd-h-tensor.html</link>
      <description>Architecture documentation for the Tensor class in ATen_fwd.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-aten-fwd-h-tensor.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-atest-cpp-atest.html</link>
      <description>Architecture documentation for the atest class in atest.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-atest-cpp-atest.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-atest-cpp-run-binary-ops-test.html</link>
      <description>Architecture documentation for the run_binary_ops_test class in atest.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-atest-cpp-run-binary-ops-test.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-atest-cpp-unit-binary-ops-test.html</link>
      <description>Architecture documentation for the unit_binary_ops_test class in atest.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-atest-cpp-unit-binary-ops-test.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>alignment Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-attention-cpp-alignment.html</link>
      <description>Architecture documentation for the alignment class in attention.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-attention-cpp-alignment.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-attention-cpp-slice.html</link>
      <description>Architecture documentation for the slice class in attention.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-attention-cpp-slice.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-attr-h-attr.html</link>
      <description>Architecture documentation for the Attr class in Attr.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-attr-h-attr.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-attr-h-is-matmul.html</link>
      <description>Architecture documentation for the is_matmul class in Attr.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-attr-h-is-matmul.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-autocast-mode-h-cached-cast.html</link>
      <description>Architecture documentation for the cached_cast class in autocast_mode.h from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-autocast-mode-h-device-type.html</link>
      <description>Architecture documentation for the device_type class in autocast_mode.h from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-autocast-mode-h-firstarg-is-eligible.html</link>
      <description>Architecture documentation for the firstarg_is_eligible class in autocast_mode.h from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-autocast-mode-h-policy.html</link>
      <description>Architecture documentation for the policy class in autocast_mode.h from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-autocast-mode-h-prioritize.html</link>
      <description>Architecture documentation for the prioritize class in autocast_mode.h from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-autocast-mode-h-promote-type.html</link>
      <description>Architecture documentation for the promote_type class in autocast_mode.h from the pytorch codebase.</description>
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      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>set_opt_dtype Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-autocast-mode-h-set-opt-dtype.html</link>
      <description>Architecture documentation for the set_opt_dtype class in autocast_mode.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-autocast-mode-h-set-opt-dtype.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>type_from_firstarg Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-autocast-mode-h-type-from-firstarg.html</link>
      <description>Architecture documentation for the type_from_firstarg class in autocast_mode.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-autocast-mode-h-type-from-firstarg.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>AveragePoolingOperatorTester Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-average-pooling-operator-tester-h-averagepoolingoperatortester.html</link>
      <description>Architecture documentation for the AveragePoolingOperatorTester class in average-pooling-operator-tester.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-average-pooling-operator-tester-h-averagepoolingoperatortester.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>avg_pool2d_out_frame Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-averagepool2d-cpp-avg-pool2d-out-frame.html</link>
      <description>Architecture documentation for the avg_pool2d_out_frame class in AveragePool2d.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-averagepool2d-cpp-avg-pool2d-out-frame.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>q_avg_pool2d Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-averagepool2d-cpp-q-avg-pool2d.html</link>
      <description>Architecture documentation for the q_avg_pool2d class in AveragePool2d.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-averagepool2d-cpp-q-avg-pool2d.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>avg_pool3d_backward_out_frame Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-averagepool3d-cpp-avg-pool3d-backward-out-frame.html</link>
      <description>Architecture documentation for the avg_pool3d_backward_out_frame class in AveragePool3d.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-averagepool3d-cpp-avg-pool3d-backward-out-frame.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>avg_pool3d_out_frame Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-averagepool3d-cpp-avg-pool3d-out-frame.html</link>
      <description>Architecture documentation for the avg_pool3d_out_frame class in AveragePool3d.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-averagepool3d-cpp-avg-pool3d-out-frame.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>q_avg_pool3d Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-averagepool3d-cpp-q-avg-pool3d.html</link>
      <description>Architecture documentation for the q_avg_pool3d class in AveragePool3d.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-averagepool3d-cpp-q-avg-pool3d.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>AvgPoolMicrokernelTester Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-avgpool-microkernel-tester-h-avgpoolmicrokerneltester.html</link>
      <description>Architecture documentation for the AvgPoolMicrokernelTester class in avgpool-microkernel-tester.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-avgpool-microkernel-tester-h-avgpoolmicrokerneltester.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>cpu_avg_pool2d_backward_channels_last Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-avgpoolkernel-cpp-cpu-avg-pool2d-backward-channels-last.html</link>
      <description>Architecture documentation for the cpu_avg_pool2d_backward_channels_last class in AvgPoolKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-avgpoolkernel-cpp-cpu-avg-pool2d-backward-channels-last.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>cpu_avg_pool2d_backward Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-avgpoolkernel-cpp-cpu-avg-pool2d-backward.html</link>
      <description>Architecture documentation for the cpu_avg_pool2d_backward class in AvgPoolKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-avgpoolkernel-cpp-cpu-avg-pool2d-backward.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>cpu_avg_pool2d_channels_last Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-avgpoolkernel-cpp-cpu-avg-pool2d-channels-last.html</link>
      <description>Architecture documentation for the cpu_avg_pool2d_channels_last class in AvgPoolKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-avgpoolkernel-cpp-cpu-avg-pool2d-channels-last.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>cpu_avg_pool2d Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-avgpoolkernel-cpp-cpu-avg-pool2d.html</link>
      <description>Architecture documentation for the cpu_avg_pool2d class in AvgPoolKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-avgpoolkernel-cpp-cpu-avg-pool2d.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>cpu_avg_pool3d_backward_channels_last Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-avgpoolkernel-cpp-cpu-avg-pool3d-backward-channels-last.html</link>
      <description>Architecture documentation for the cpu_avg_pool3d_backward_channels_last class in AvgPoolKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-avgpoolkernel-cpp-cpu-avg-pool3d-backward-channels-last.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>cpu_avg_pool3d_backward Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-avgpoolkernel-cpp-cpu-avg-pool3d-backward.html</link>
      <description>Architecture documentation for the cpu_avg_pool3d_backward class in AvgPoolKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-avgpoolkernel-cpp-cpu-avg-pool3d-backward.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>cpu_avg_pool3d_channels_last Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-avgpoolkernel-cpp-cpu-avg-pool3d-channels-last.html</link>
      <description>Architecture documentation for the cpu_avg_pool3d_channels_last class in AvgPoolKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-avgpoolkernel-cpp-cpu-avg-pool3d-channels-last.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>cpu_avg_pool3d Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-avgpoolkernel-cpp-cpu-avg-pool3d.html</link>
      <description>Architecture documentation for the cpu_avg_pool3d class in AvgPoolKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-avgpoolkernel-cpp-cpu-avg-pool3d.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>value Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-avgpoolkernel-cpp-value.html</link>
      <description>Architecture documentation for the value class in AvgPoolKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-avgpoolkernel-cpp-value.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>conditional_accessor_1d Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-batch-norm-h-conditional-accessor-1d.html</link>
      <description>Architecture documentation for the conditional_accessor_1d class in batch_norm.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-batch-norm-h-conditional-accessor-1d.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>conditional_data_ptr Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-batch-norm-h-conditional-data-ptr.html</link>
      <description>Architecture documentation for the conditional_data_ptr class in batch_norm.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-batch-norm-h-conditional-data-ptr.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>batch_norm_cpu_backward_channels_last_internal Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-batch-norm-kernel-cpp-batch-norm-cpu-backward-channels-last-internal.html</link>
      <description>Architecture documentation for the batch_norm_cpu_backward_channels_last_internal class in batch_norm_kernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-batch-norm-kernel-cpp-batch-norm-cpu-backward-channels-last-internal.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>batch_norm_cpu_backward_contiguous_internal Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-batch-norm-kernel-cpp-batch-norm-cpu-backward-contiguous-internal.html</link>
      <description>Architecture documentation for the batch_norm_cpu_backward_contiguous_internal class in batch_norm_kernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-batch-norm-kernel-cpp-batch-norm-cpu-backward-contiguous-internal.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>batch_norm_cpu_collect_linear_and_constant_terms Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-batch-norm-kernel-cpp-batch-norm-cpu-collect-linear-and-constant-terms.html</link>
      <description>Architecture documentation for the batch_norm_cpu_collect_linear_and_constant_terms class in batch_norm_kernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-batch-norm-kernel-cpp-batch-norm-cpu-collect-linear-and-constant-terms.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>batch_norm_cpu_collect_stats_channels_last_internal Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-batch-norm-kernel-cpp-batch-norm-cpu-collect-stats-channels-last-internal.html</link>
      <description>Architecture documentation for the batch_norm_cpu_collect_stats_channels_last_internal class in batch_norm_kernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-batch-norm-kernel-cpp-batch-norm-cpu-collect-stats-channels-last-internal.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>batch_norm_cpu_collect_stats_contiguous_internal Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-batch-norm-kernel-cpp-batch-norm-cpu-collect-stats-contiguous-internal.html</link>
      <description>Architecture documentation for the batch_norm_cpu_collect_stats_contiguous_internal class in batch_norm_kernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-batch-norm-kernel-cpp-batch-norm-cpu-collect-stats-contiguous-internal.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>is_same_v Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-batch-norm-kernel-cpp-is-same-v.html</link>
      <description>Architecture documentation for the is_same_v class in batch_norm_kernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-batch-norm-kernel-cpp-is-same-v.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>scalar_t Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-batch-norm-kernel-cpp-scalar-t.html</link>
      <description>Architecture documentation for the scalar_t class in batch_norm_kernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-batch-norm-kernel-cpp-scalar-t.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>slow_fallback Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-batchedfallback-h-slow-fallback.html</link>
      <description>Architecture documentation for the slow_fallback class in BatchedFallback.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-batchedfallback-h-slow-fallback.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>vector_to_result Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-batchedfallback-h-vector-to-result.html</link>
      <description>Architecture documentation for the vector_to_result class in BatchedFallback.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-batchedfallback-h-vector-to-result.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>batch_rule_t Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-batchingmetaprogramming-h-batch-rule-t.html</link>
      <description>Architecture documentation for the batch_rule_t class in BatchingMetaprogramming.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-batchingmetaprogramming-h-batch-rule-t.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <link>https://repos.supermodeltools.com/pytorch/class-batchingmetaprogramming-h-debug-t.html</link>
      <description>Architecture documentation for the debug_t class in BatchingMetaprogramming.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-batchingmetaprogramming-h-debug-t.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>First Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-batchingmetaprogramming-h-first.html</link>
      <description>Architecture documentation for the First class in BatchingMetaprogramming.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-batchingmetaprogramming-h-first.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>Head Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-batchingmetaprogramming-h-head.html</link>
      <description>Architecture documentation for the Head class in BatchingMetaprogramming.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-batchingmetaprogramming-h-head.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>Items Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-batchingmetaprogramming-h-items.html</link>
      <description>Architecture documentation for the Items class in BatchingMetaprogramming.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-batchingmetaprogramming-h-items.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>Next Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-batchingmetaprogramming-h-next.html</link>
      <description>Architecture documentation for the Next class in BatchingMetaprogramming.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-batchingmetaprogramming-h-next.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>RemoveBatchDimAfterTensor Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-batchingmetaprogramming-h-removebatchdimaftertensor.html</link>
      <description>Architecture documentation for the RemoveBatchDimAfterTensor class in BatchingMetaprogramming.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-batchingmetaprogramming-h-removebatchdimaftertensor.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>Return Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-batchingmetaprogramming-h-return.html</link>
      <description>Architecture documentation for the Return class in BatchingMetaprogramming.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-batchingmetaprogramming-h-return.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>TL1 Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-batchingmetaprogramming-h-tl1.html</link>
      <description>Architecture documentation for the TL1 class in BatchingMetaprogramming.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-batchingmetaprogramming-h-tl1.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>Type Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-batchingmetaprogramming-h-type.html</link>
      <description>Architecture documentation for the Type class in BatchingMetaprogramming.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-batchingmetaprogramming-h-type.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <link>https://repos.supermodeltools.com/pytorch/class-batchingmetaprogramming-h-typelist.html</link>
      <description>Architecture documentation for the TypeList class in BatchingMetaprogramming.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-batchingmetaprogramming-h-typelist.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>value Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-batchingmetaprogramming-h-value.html</link>
      <description>Architecture documentation for the value class in BatchingMetaprogramming.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-batchingmetaprogramming-h-value.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>apply_cholesky_inverse Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebra-cpp-apply-cholesky-inverse.html</link>
      <description>Architecture documentation for the apply_cholesky_inverse class in BatchLinearAlgebra.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebra-cpp-apply-cholesky-inverse.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <link>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebra-cpp-apply-cholesky-solve-2.html</link>
      <description>Architecture documentation for the apply_cholesky_solve class in BatchLinearAlgebra.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebra-cpp-apply-cholesky-solve-2.html</guid>
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      <title>apply_cholesky_solve Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebra-cpp-apply-cholesky-solve.html</link>
      <description>Architecture documentation for the apply_cholesky_solve class in BatchLinearAlgebra.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebra-cpp-apply-cholesky-solve.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>apply_gels Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebra-cpp-apply-gels.html</link>
      <description>Architecture documentation for the apply_gels class in BatchLinearAlgebra.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebra-cpp-apply-gels.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>apply_ldl_factor_magma Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebra-cpp-apply-ldl-factor-magma.html</link>
      <description>Architecture documentation for the apply_ldl_factor_magma class in BatchLinearAlgebra.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebra-cpp-apply-ldl-factor-magma.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>apply_lu_factor_batched_magma Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebra-cpp-apply-lu-factor-batched-magma.html</link>
      <description>Architecture documentation for the apply_lu_factor_batched_magma class in BatchLinearAlgebra.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebra-cpp-apply-lu-factor-batched-magma.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>apply_lu_factor_looped_magma Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebra-cpp-apply-lu-factor-looped-magma.html</link>
      <description>Architecture documentation for the apply_lu_factor_looped_magma class in BatchLinearAlgebra.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebra-cpp-apply-lu-factor-looped-magma.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>apply_lu_solve_batched_magma Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebra-cpp-apply-lu-solve-batched-magma.html</link>
      <description>Architecture documentation for the apply_lu_solve_batched_magma class in BatchLinearAlgebra.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebra-cpp-apply-lu-solve-batched-magma.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>apply_lu_solve_looped_magma Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebra-cpp-apply-lu-solve-looped-magma.html</link>
      <description>Architecture documentation for the apply_lu_solve_looped_magma class in BatchLinearAlgebra.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebra-cpp-apply-lu-solve-looped-magma.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>apply_magma_eig Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebra-cpp-apply-magma-eig.html</link>
      <description>Architecture documentation for the apply_magma_eig class in BatchLinearAlgebra.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebra-cpp-apply-magma-eig.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>apply_magma_eigh Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebra-cpp-apply-magma-eigh.html</link>
      <description>Architecture documentation for the apply_magma_eigh class in BatchLinearAlgebra.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebra-cpp-apply-magma-eigh.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>apply_triangular_solve_batched_magma Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebra-cpp-apply-triangular-solve-batched-magma.html</link>
      <description>Architecture documentation for the apply_triangular_solve_batched_magma class in BatchLinearAlgebra.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebra-cpp-apply-triangular-solve-batched-magma.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>blasTriangularSolve Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebra-cpp-blastriangularsolve.html</link>
      <description>Architecture documentation for the blasTriangularSolve class in BatchLinearAlgebra.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebra-cpp-blastriangularsolve.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>lapackCholesky Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebra-cpp-lapackcholesky.html</link>
      <description>Architecture documentation for the lapackCholesky class in BatchLinearAlgebra.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebra-cpp-lapackcholesky.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>lapackCholeskyInverse Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebra-cpp-lapackcholeskyinverse.html</link>
      <description>Architecture documentation for the lapackCholeskyInverse class in BatchLinearAlgebra.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebra-cpp-lapackcholeskyinverse.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>lapackCholeskySolve Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebra-cpp-lapackcholeskysolve.html</link>
      <description>Architecture documentation for the lapackCholeskySolve class in BatchLinearAlgebra.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebra-cpp-lapackcholeskysolve.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>lapackEig Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebra-cpp-lapackeig.html</link>
      <description>Architecture documentation for the lapackEig class in BatchLinearAlgebra.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebra-cpp-lapackeig.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>lapackGels Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebra-cpp-lapackgels.html</link>
      <description>Architecture documentation for the lapackGels class in BatchLinearAlgebra.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebra-cpp-lapackgels.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>lapackGelsd Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebra-cpp-lapackgelsd.html</link>
      <description>Architecture documentation for the lapackGelsd class in BatchLinearAlgebra.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebra-cpp-lapackgelsd.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>lapackGelss Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebra-cpp-lapackgelss.html</link>
      <description>Architecture documentation for the lapackGelss class in BatchLinearAlgebra.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebra-cpp-lapackgelss.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>lapackGelsy Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebra-cpp-lapackgelsy.html</link>
      <description>Architecture documentation for the lapackGelsy class in BatchLinearAlgebra.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebra-cpp-lapackgelsy.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>lapackGeqrf Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebra-cpp-lapackgeqrf.html</link>
      <description>Architecture documentation for the lapackGeqrf class in BatchLinearAlgebra.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebra-cpp-lapackgeqrf.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>lapackLdlHermitian Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebra-cpp-lapackldlhermitian.html</link>
      <description>Architecture documentation for the lapackLdlHermitian class in BatchLinearAlgebra.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebra-cpp-lapackldlhermitian.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>lapackLdlSolveHermitian Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebra-cpp-lapackldlsolvehermitian.html</link>
      <description>Architecture documentation for the lapackLdlSolveHermitian class in BatchLinearAlgebra.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebra-cpp-lapackldlsolvehermitian.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>lapackLdlSolveSymmetric Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebra-cpp-lapackldlsolvesymmetric.html</link>
      <description>Architecture documentation for the lapackLdlSolveSymmetric class in BatchLinearAlgebra.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebra-cpp-lapackldlsolvesymmetric.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>lapackLdlSymmetric Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebra-cpp-lapackldlsymmetric.html</link>
      <description>Architecture documentation for the lapackLdlSymmetric class in BatchLinearAlgebra.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebra-cpp-lapackldlsymmetric.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>lapackLu Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebra-cpp-lapacklu.html</link>
      <description>Architecture documentation for the lapackLu class in BatchLinearAlgebra.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebra-cpp-lapacklu.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>lapackLuSolve Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebra-cpp-lapacklusolve.html</link>
      <description>Architecture documentation for the lapackLuSolve class in BatchLinearAlgebra.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebra-cpp-lapacklusolve.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>lapackOrgqr Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebra-cpp-lapackorgqr.html</link>
      <description>Architecture documentation for the lapackOrgqr class in BatchLinearAlgebra.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebra-cpp-lapackorgqr.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>lapackOrmqr Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebra-cpp-lapackormqr.html</link>
      <description>Architecture documentation for the lapackOrmqr class in BatchLinearAlgebra.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebra-cpp-lapackormqr.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>lapackSvd Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebra-cpp-lapacksvd.html</link>
      <description>Architecture documentation for the lapackSvd class in BatchLinearAlgebra.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebra-cpp-lapacksvd.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>lapackSyevd Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebra-cpp-lapacksyevd.html</link>
      <description>Architecture documentation for the lapackSyevd class in BatchLinearAlgebra.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebra-cpp-lapacksyevd.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>magmaCholeskySolve Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebra-cpp-magmacholeskysolve.html</link>
      <description>Architecture documentation for the magmaCholeskySolve class in BatchLinearAlgebra.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebra-cpp-magmacholeskysolve.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>magmaCholeskySolveBatched Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebra-cpp-magmacholeskysolvebatched.html</link>
      <description>Architecture documentation for the magmaCholeskySolveBatched class in BatchLinearAlgebra.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebra-cpp-magmacholeskysolvebatched.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>magmaEig Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebra-cpp-magmaeig.html</link>
      <description>Architecture documentation for the magmaEig class in BatchLinearAlgebra.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebra-cpp-magmaeig.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>magmaGels Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebra-cpp-magmagels.html</link>
      <description>Architecture documentation for the magmaGels class in BatchLinearAlgebra.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebra-cpp-magmagels.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>magmaGeqrfOptimalBlocksize Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebra-cpp-magmageqrfoptimalblocksize.html</link>
      <description>Architecture documentation for the magmaGeqrfOptimalBlocksize class in BatchLinearAlgebra.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebra-cpp-magmageqrfoptimalblocksize.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>magmaLdlHermitian Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebra-cpp-magmaldlhermitian.html</link>
      <description>Architecture documentation for the magmaLdlHermitian class in BatchLinearAlgebra.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebra-cpp-magmaldlhermitian.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>magmaLu Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebra-cpp-magmalu.html</link>
      <description>Architecture documentation for the magmaLu class in BatchLinearAlgebra.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebra-cpp-magmalu.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>magmaLuBatched Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebra-cpp-magmalubatched.html</link>
      <description>Architecture documentation for the magmaLuBatched class in BatchLinearAlgebra.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebra-cpp-magmalubatched.html</guid>
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      <title>magmaLuNoPiv Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebra-cpp-magmalunopiv.html</link>
      <description>Architecture documentation for the magmaLuNoPiv class in BatchLinearAlgebra.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebra-cpp-magmalunopiv.html</guid>
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      <title>magmaLuNoPivBatched Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebra-cpp-magmalunopivbatched.html</link>
      <description>Architecture documentation for the magmaLuNoPivBatched class in BatchLinearAlgebra.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebra-cpp-magmalunopivbatched.html</guid>
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      <title>magmaLuSolve Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebra-cpp-magmalusolve.html</link>
      <description>Architecture documentation for the magmaLuSolve class in BatchLinearAlgebra.cpp from the pytorch codebase.</description>
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      <title>magmaLuSolveBatched Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebra-cpp-magmalusolvebatched.html</link>
      <description>Architecture documentation for the magmaLuSolveBatched class in BatchLinearAlgebra.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebra-cpp-magmalusolvebatched.html</guid>
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      <title>magmaSyevd Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebra-cpp-magmasyevd.html</link>
      <description>Architecture documentation for the magmaSyevd class in BatchLinearAlgebra.cpp from the pytorch codebase.</description>
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      <title>magmaTriangularSolveBatched Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebra-cpp-magmatriangularsolvebatched.html</link>
      <description>Architecture documentation for the magmaTriangularSolveBatched class in BatchLinearAlgebra.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebra-cpp-magmatriangularsolvebatched.html</guid>
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      <title>blasTriangularSolve Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebra-h-blastriangularsolve.html</link>
      <description>Architecture documentation for the blasTriangularSolve class in BatchLinearAlgebra.h from the pytorch codebase.</description>
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      <description>Architecture documentation for the driver_type class in BatchLinearAlgebra.h from the pytorch codebase.</description>
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      <title>lapackCholesky Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebra-h-lapackcholesky.html</link>
      <description>Architecture documentation for the lapackCholesky class in BatchLinearAlgebra.h from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebra-h-lapackcholeskyinverse.html</link>
      <description>Architecture documentation for the lapackCholeskyInverse class in BatchLinearAlgebra.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebra-h-lapackcholeskyinverse.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>lapackEig Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebra-h-lapackeig.html</link>
      <description>Architecture documentation for the lapackEig class in BatchLinearAlgebra.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebra-h-lapackeig.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>lapackGels Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebra-h-lapackgels.html</link>
      <description>Architecture documentation for the lapackGels class in BatchLinearAlgebra.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebra-h-lapackgels.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>lapackGelsd Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebra-h-lapackgelsd.html</link>
      <description>Architecture documentation for the lapackGelsd class in BatchLinearAlgebra.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebra-h-lapackgelsd.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>lapackGelss Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebra-h-lapackgelss.html</link>
      <description>Architecture documentation for the lapackGelss class in BatchLinearAlgebra.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebra-h-lapackgelss.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>lapackGelsy Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebra-h-lapackgelsy.html</link>
      <description>Architecture documentation for the lapackGelsy class in BatchLinearAlgebra.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebra-h-lapackgelsy.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>lapackGeqrf Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebra-h-lapackgeqrf.html</link>
      <description>Architecture documentation for the lapackGeqrf class in BatchLinearAlgebra.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebra-h-lapackgeqrf.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>lapackLdlHermitian Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebra-h-lapackldlhermitian.html</link>
      <description>Architecture documentation for the lapackLdlHermitian class in BatchLinearAlgebra.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebra-h-lapackldlhermitian.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>lapackLdlSolveHermitian Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebra-h-lapackldlsolvehermitian.html</link>
      <description>Architecture documentation for the lapackLdlSolveHermitian class in BatchLinearAlgebra.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebra-h-lapackldlsolvehermitian.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>lapackLdlSolveSymmetric Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebra-h-lapackldlsolvesymmetric.html</link>
      <description>Architecture documentation for the lapackLdlSolveSymmetric class in BatchLinearAlgebra.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebra-h-lapackldlsolvesymmetric.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>lapackLdlSymmetric Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebra-h-lapackldlsymmetric.html</link>
      <description>Architecture documentation for the lapackLdlSymmetric class in BatchLinearAlgebra.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebra-h-lapackldlsymmetric.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>LapackLstsqDriverType Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebra-h-lapacklstsqdrivertype.html</link>
      <description>Architecture documentation for the LapackLstsqDriverType class in BatchLinearAlgebra.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebra-h-lapacklstsqdrivertype.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>lapackLu Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebra-h-lapacklu.html</link>
      <description>Architecture documentation for the lapackLu class in BatchLinearAlgebra.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebra-h-lapacklu.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>lapackLuSolve Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebra-h-lapacklusolve.html</link>
      <description>Architecture documentation for the lapackLuSolve class in BatchLinearAlgebra.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebra-h-lapacklusolve.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>lapackOrgqr Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebra-h-lapackorgqr.html</link>
      <description>Architecture documentation for the lapackOrgqr class in BatchLinearAlgebra.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebra-h-lapackorgqr.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>lapackOrmqr Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebra-h-lapackormqr.html</link>
      <description>Architecture documentation for the lapackOrmqr class in BatchLinearAlgebra.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebra-h-lapackormqr.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>lapackSvd Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebra-h-lapacksvd.html</link>
      <description>Architecture documentation for the lapackSvd class in BatchLinearAlgebra.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebra-h-lapacksvd.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>lapackSyevd Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebra-h-lapacksyevd.html</link>
      <description>Architecture documentation for the lapackSyevd class in BatchLinearAlgebra.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebra-h-lapacksyevd.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>Tensor Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebra-h-tensor.html</link>
      <description>Architecture documentation for the Tensor class in BatchLinearAlgebra.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebra-h-tensor.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>trans Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebra-h-trans.html</link>
      <description>Architecture documentation for the trans class in BatchLinearAlgebra.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebra-h-trans.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>apply_cholesky_inverse Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebrakernel-cpp-apply-cholesky-inverse.html</link>
      <description>Architecture documentation for the apply_cholesky_inverse class in BatchLinearAlgebraKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebrakernel-cpp-apply-cholesky-inverse.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>apply_cholesky Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebrakernel-cpp-apply-cholesky.html</link>
      <description>Architecture documentation for the apply_cholesky class in BatchLinearAlgebraKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebrakernel-cpp-apply-cholesky.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>apply_geqrf Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebrakernel-cpp-apply-geqrf.html</link>
      <description>Architecture documentation for the apply_geqrf class in BatchLinearAlgebraKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebrakernel-cpp-apply-geqrf.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>apply_lapack_eigh Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebrakernel-cpp-apply-lapack-eigh.html</link>
      <description>Architecture documentation for the apply_lapack_eigh class in BatchLinearAlgebraKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebrakernel-cpp-apply-lapack-eigh.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>apply_ldl_factor Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebrakernel-cpp-apply-ldl-factor.html</link>
      <description>Architecture documentation for the apply_ldl_factor class in BatchLinearAlgebraKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebrakernel-cpp-apply-ldl-factor.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>apply_ldl_solve Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebrakernel-cpp-apply-ldl-solve.html</link>
      <description>Architecture documentation for the apply_ldl_solve class in BatchLinearAlgebraKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebrakernel-cpp-apply-ldl-solve.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>apply_linalg_eig Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebrakernel-cpp-apply-linalg-eig.html</link>
      <description>Architecture documentation for the apply_linalg_eig class in BatchLinearAlgebraKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebrakernel-cpp-apply-linalg-eig.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>apply_lstsq Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebrakernel-cpp-apply-lstsq.html</link>
      <description>Architecture documentation for the apply_lstsq class in BatchLinearAlgebraKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebrakernel-cpp-apply-lstsq.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>apply_lu_factor Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebrakernel-cpp-apply-lu-factor.html</link>
      <description>Architecture documentation for the apply_lu_factor class in BatchLinearAlgebraKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebrakernel-cpp-apply-lu-factor.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>apply_lu_solve Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebrakernel-cpp-apply-lu-solve.html</link>
      <description>Architecture documentation for the apply_lu_solve class in BatchLinearAlgebraKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebrakernel-cpp-apply-lu-solve.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>apply_orgqr Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebrakernel-cpp-apply-orgqr.html</link>
      <description>Architecture documentation for the apply_orgqr class in BatchLinearAlgebraKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebrakernel-cpp-apply-orgqr.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>apply_ormqr Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebrakernel-cpp-apply-ormqr.html</link>
      <description>Architecture documentation for the apply_ormqr class in BatchLinearAlgebraKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebrakernel-cpp-apply-ormqr.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>apply_reflect_conj_tri_single Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebrakernel-cpp-apply-reflect-conj-tri-single.html</link>
      <description>Architecture documentation for the apply_reflect_conj_tri_single class in BatchLinearAlgebraKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebrakernel-cpp-apply-reflect-conj-tri-single.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>apply_svd Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebrakernel-cpp-apply-svd.html</link>
      <description>Architecture documentation for the apply_svd class in BatchLinearAlgebraKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebrakernel-cpp-apply-svd.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>apply_triangular_solve Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebrakernel-cpp-apply-triangular-solve.html</link>
      <description>Architecture documentation for the apply_triangular_solve class in BatchLinearAlgebraKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebrakernel-cpp-apply-triangular-solve.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>lapack_work_to_int Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebrakernel-cpp-lapack-work-to-int.html</link>
      <description>Architecture documentation for the lapack_work_to_int class in BatchLinearAlgebraKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebrakernel-cpp-lapack-work-to-int.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>linalg_eig_make_complex_eigenvectors_cpu_impl Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebrakernel-cpp-linalg-eig-make-complex-eigenvectors-cpu-impl.html</link>
      <description>Architecture documentation for the linalg_eig_make_complex_eigenvectors_cpu_impl class in BatchLinearAlgebraKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebrakernel-cpp-linalg-eig-make-complex-eigenvectors-cpu-impl.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>apply_cholesky_cusolver_potrf_looped Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebralib-cpp-apply-cholesky-cusolver-potrf-looped.html</link>
      <description>Architecture documentation for the apply_cholesky_cusolver_potrf_looped class in BatchLinearAlgebraLib.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebralib-cpp-apply-cholesky-cusolver-potrf-looped.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>apply_cholesky_cusolver_potrfBatched Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebralib-cpp-apply-cholesky-cusolver-potrfbatched.html</link>
      <description>Architecture documentation for the apply_cholesky_cusolver_potrfBatched class in BatchLinearAlgebraLib.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebralib-cpp-apply-cholesky-cusolver-potrfbatched.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>apply_cholesky_cusolver_potrs Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebralib-cpp-apply-cholesky-cusolver-potrs.html</link>
      <description>Architecture documentation for the apply_cholesky_cusolver_potrs class in BatchLinearAlgebraLib.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebralib-cpp-apply-cholesky-cusolver-potrs.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>apply_cholesky_cusolver_potrsBatched Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebralib-cpp-apply-cholesky-cusolver-potrsbatched.html</link>
      <description>Architecture documentation for the apply_cholesky_cusolver_potrsBatched class in BatchLinearAlgebraLib.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebralib-cpp-apply-cholesky-cusolver-potrsbatched.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>apply_geqrf Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebralib-cpp-apply-geqrf.html</link>
      <description>Architecture documentation for the apply_geqrf class in BatchLinearAlgebraLib.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebralib-cpp-apply-geqrf.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>apply_ldl_factor_cusolver Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebralib-cpp-apply-ldl-factor-cusolver.html</link>
      <description>Architecture documentation for the apply_ldl_factor_cusolver class in BatchLinearAlgebraLib.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebralib-cpp-apply-ldl-factor-cusolver.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>apply_ldl_solve_cusolver Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebralib-cpp-apply-ldl-solve-cusolver.html</link>
      <description>Architecture documentation for the apply_ldl_solve_cusolver class in BatchLinearAlgebraLib.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebralib-cpp-apply-ldl-solve-cusolver.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>apply_orgqr Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebralib-cpp-apply-orgqr.html</link>
      <description>Architecture documentation for the apply_orgqr class in BatchLinearAlgebraLib.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebralib-cpp-apply-orgqr.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>apply_ormqr Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebralib-cpp-apply-ormqr.html</link>
      <description>Architecture documentation for the apply_ormqr class in BatchLinearAlgebraLib.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebralib-cpp-apply-ormqr.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>apply_svd_cusolver_gesvd Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebralib-cpp-apply-svd-cusolver-gesvd.html</link>
      <description>Architecture documentation for the apply_svd_cusolver_gesvd class in BatchLinearAlgebraLib.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebralib-cpp-apply-svd-cusolver-gesvd.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>apply_svd_cusolver_gesvdaStridedBatched Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebralib-cpp-apply-svd-cusolver-gesvdastridedbatched.html</link>
      <description>Architecture documentation for the apply_svd_cusolver_gesvdaStridedBatched class in BatchLinearAlgebraLib.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebralib-cpp-apply-svd-cusolver-gesvdastridedbatched.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>apply_svd_cusolver_gesvdj Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebralib-cpp-apply-svd-cusolver-gesvdj.html</link>
      <description>Architecture documentation for the apply_svd_cusolver_gesvdj class in BatchLinearAlgebraLib.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebralib-cpp-apply-svd-cusolver-gesvdj.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>apply_svd_cusolver_gesvdjBatched Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebralib-cpp-apply-svd-cusolver-gesvdjbatched.html</link>
      <description>Architecture documentation for the apply_svd_cusolver_gesvdjBatched class in BatchLinearAlgebraLib.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebralib-cpp-apply-svd-cusolver-gesvdjbatched.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>apply_syevd_batched_rocsolver Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebralib-cpp-apply-syevd-batched-rocsolver.html</link>
      <description>Architecture documentation for the apply_syevd_batched_rocsolver class in BatchLinearAlgebraLib.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebralib-cpp-apply-syevd-batched-rocsolver.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>apply_syevd Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebralib-cpp-apply-syevd.html</link>
      <description>Architecture documentation for the apply_syevd class in BatchLinearAlgebraLib.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebralib-cpp-apply-syevd.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>apply_syevj_batched Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebralib-cpp-apply-syevj-batched.html</link>
      <description>Architecture documentation for the apply_syevj_batched class in BatchLinearAlgebraLib.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebralib-cpp-apply-syevj-batched.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>apply_syevj Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebralib-cpp-apply-syevj.html</link>
      <description>Architecture documentation for the apply_syevj class in BatchLinearAlgebraLib.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebralib-cpp-apply-syevj.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>apply_xgeev Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebralib-cpp-apply-xgeev.html</link>
      <description>Architecture documentation for the apply_xgeev class in BatchLinearAlgebraLib.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebralib-cpp-apply-xgeev.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>get_device_pointers Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebralib-cpp-get-device-pointers.html</link>
      <description>Architecture documentation for the get_device_pointers class in BatchLinearAlgebraLib.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebralib-cpp-get-device-pointers.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>_rocsolver_syevd_strided_batched Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebralib-cpp-rocsolver-syevd-strided-batched.html</link>
      <description>Architecture documentation for the _rocsolver_syevd_strided_batched class in BatchLinearAlgebraLib.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebralib-cpp-rocsolver-syevd-strided-batched.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>apply_gels_batched Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebralibblas-cpp-apply-gels-batched.html</link>
      <description>Architecture documentation for the apply_gels_batched class in BatchLinearAlgebraLibBlas.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebralibblas-cpp-apply-gels-batched.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>apply_geqrf_batched Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebralibblas-cpp-apply-geqrf-batched.html</link>
      <description>Architecture documentation for the apply_geqrf_batched class in BatchLinearAlgebraLibBlas.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebralibblas-cpp-apply-geqrf-batched.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>apply_lu_factor_batched_cublas Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebralibblas-cpp-apply-lu-factor-batched-cublas.html</link>
      <description>Architecture documentation for the apply_lu_factor_batched_cublas class in BatchLinearAlgebraLibBlas.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebralibblas-cpp-apply-lu-factor-batched-cublas.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>apply_lu_solve_batched_cublas Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebralibblas-cpp-apply-lu-solve-batched-cublas.html</link>
      <description>Architecture documentation for the apply_lu_solve_batched_cublas class in BatchLinearAlgebraLibBlas.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebralibblas-cpp-apply-lu-solve-batched-cublas.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>apply_triangular_solve_batched Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebralibblas-cpp-apply-triangular-solve-batched.html</link>
      <description>Architecture documentation for the apply_triangular_solve_batched class in BatchLinearAlgebraLibBlas.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebralibblas-cpp-apply-triangular-solve-batched.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>apply_triangular_solve Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebralibblas-cpp-apply-triangular-solve.html</link>
      <description>Architecture documentation for the apply_triangular_solve class in BatchLinearAlgebraLibBlas.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebralibblas-cpp-apply-triangular-solve.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>get_device_pointers Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebralibblas-cpp-get-device-pointers.html</link>
      <description>Architecture documentation for the get_device_pointers class in BatchLinearAlgebraLibBlas.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-batchlinearalgebralibblas-cpp-get-device-pointers.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>BatchNormPackedContext Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-batchnorm-h-batchnormpackedcontext.html</link>
      <description>Architecture documentation for the BatchNormPackedContext class in Batchnorm.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-batchnorm-h-batchnormpackedcontext.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>Func Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-batchrulesbinaryops-cpp-func.html</link>
      <description>Architecture documentation for the Func class in BatchRulesBinaryOps.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-batchrulesbinaryops-cpp-func.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>Meth Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-batchrulesbinaryops-cpp-meth.html</link>
      <description>Architecture documentation for the Meth class in BatchRulesBinaryOps.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-batchrulesbinaryops-cpp-meth.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>Func Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-batchrulesfactory-cpp-func.html</link>
      <description>Architecture documentation for the Func class in BatchRulesFactory.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-batchrulesfactory-cpp-func.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>feature_rank Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-batchruleshelper-h-feature-rank.html</link>
      <description>Architecture documentation for the feature_rank class in BatchRulesHelper.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-batchruleshelper-h-feature-rank.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>Func Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-batchruleshelper-h-func.html</link>
      <description>Architecture documentation for the Func class in BatchRulesHelper.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-batchruleshelper-h-func.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>Method Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-batchruleshelper-h-method.html</link>
      <description>Architecture documentation for the Method class in BatchRulesHelper.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-batchruleshelper-h-method.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>atol_rtol_tensor_batch_rule Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-batchruleslinearalgebra-cpp-atol-rtol-tensor-batch-rule.html</link>
      <description>Architecture documentation for the atol_rtol_tensor_batch_rule class in BatchRulesLinearAlgebra.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-batchruleslinearalgebra-cpp-atol-rtol-tensor-batch-rule.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>op_name Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-batchruleslinearalgebra-cpp-op-name.html</link>
      <description>Architecture documentation for the op_name class in BatchRulesLinearAlgebra.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-batchruleslinearalgebra-cpp-op-name.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>loss_batch_rule_helper Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-batchrulesloss-cpp-loss-batch-rule-helper.html</link>
      <description>Architecture documentation for the loss_batch_rule_helper class in BatchRulesLoss.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-batchrulesloss-cpp-loss-batch-rule-helper.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>Func Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-batchrulesmodules-cpp-func.html</link>
      <description>Architecture documentation for the Func class in BatchRulesModules.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-batchrulesmodules-cpp-func.html</guid>
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      <title>Func Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-batchrulesnorm-cpp-func.html</link>
      <description>Architecture documentation for the Func class in BatchRulesNorm.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-batchrulesnorm-cpp-func.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>max_pool_with_indices_batch_rule_helper Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-batchrulespooling-cpp-max-pool-with-indices-batch-rule-helper.html</link>
      <description>Architecture documentation for the max_pool_with_indices_batch_rule_helper class in BatchRulesPooling.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-batchrulespooling-cpp-max-pool-with-indices-batch-rule-helper.html</guid>
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      <title>Func Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-batchrulesrandomness-cpp-func.html</link>
      <description>Architecture documentation for the Func class in BatchRulesRandomness.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-batchrulesrandomness-cpp-func.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>dim_arg_pos Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-batchrulesreduceops-cpp-dim-arg-pos.html</link>
      <description>Architecture documentation for the dim_arg_pos class in BatchRulesReduceOps.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-batchrulesreduceops-cpp-dim-arg-pos.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>scatter_batch_rule Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-batchrulesscatterops-cpp-scatter-batch-rule.html</link>
      <description>Architecture documentation for the scatter_batch_rule class in BatchRulesScatterOps.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-batchrulesscatterops-cpp-scatter-batch-rule.html</guid>
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      <title>Func Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-batchrulesviews-cpp-func.html</link>
      <description>Architecture documentation for the Func class in BatchRulesViews.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-batchrulesviews-cpp-func.html</guid>
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      <title>Func Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-bench-mm-fusion-py-func.html</link>
      <description>Architecture documentation for the Func class in bench_mm_fusion.py from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-bench-mm-fusion-py-func.html</guid>
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      <title>NVSHMEMTileReduceBenchmark Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-bench-nvshmem-tile-reduce-py-nvshmemtilereducebenchmark.html</link>
      <description>Architecture documentation for the NVSHMEMTileReduceBenchmark class in bench_nvshmem_tile_reduce.py from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-bench-nvshmem-tile-reduce-py-nvshmemtilereducebenchmark.html</guid>
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      <title>Benchmark Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-benchmark-py-benchmark.html</link>
      <description>Architecture documentation for the Benchmark class in benchmark.py from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-benchmark-py-benchmark.html</guid>
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      <title>TorchvisionBenchmark Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-benchmark-py-torchvisionbenchmark.html</link>
      <description>Architecture documentation for the TorchvisionBenchmark class in benchmark.py from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-benchmark-py-torchvisionbenchmark.html</guid>
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      <title>BLOCK_SIZE Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-bgemm-kernel-template-h-block-size.html</link>
      <description>Architecture documentation for the BLOCK_SIZE class in bgemm_kernel_template.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-bgemm-kernel-template-h-block-size.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-bgemm-kernel-template-h-is.html</link>
      <description>Architecture documentation for the Is class in bgemm_kernel_template.h from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-binaryinternal-h-bool.html</link>
      <description>Architecture documentation for the bool class in BinaryInternal.h from the pytorch codebase.</description>
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      <title>comparison_op_ Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-binaryops-cpp-comparison-op-2.html</link>
      <description>Architecture documentation for the comparison_op_ class in BinaryOps.cpp from the pytorch codebase.</description>
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      <title>comparison_op_out Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-binaryops-cpp-comparison-op-out.html</link>
      <description>Architecture documentation for the comparison_op_out class in BinaryOps.cpp from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-binaryops-cpp-comparison-op.html</link>
      <description>Architecture documentation for the comparison_op class in BinaryOps.cpp from the pytorch codebase.</description>
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      <title>kReluFused Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-binaryops-cpp-krelufused.html</link>
      <description>Architecture documentation for the kReluFused class in BinaryOps.cpp from the pytorch codebase.</description>
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      <title>ReLUFused Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-binaryops-cpp-relufused.html</link>
      <description>Architecture documentation for the ReLUFused class in BinaryOps.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-binaryops-cpp-relufused.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>binary_op_scalar Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-binaryopskernel-cpp-binary-op-scalar.html</link>
      <description>Architecture documentation for the binary_op_scalar class in BinaryOpsKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-binaryopskernel-cpp-binary-op-scalar.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>div_floor_floating_vec Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-binaryopskernel-cpp-div-floor-floating-vec.html</link>
      <description>Architecture documentation for the div_floor_floating_vec class in BinaryOpsKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-binaryopskernel-cpp-div-floor-floating-vec.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>dot_impl Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-blas-cpp-dot-impl.html</link>
      <description>Architecture documentation for the dot_impl class in Blas.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-blas-cpp-dot-impl.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>gemv Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-blas-cpp-gemv.html</link>
      <description>Architecture documentation for the gemv class in Blas.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-blas-cpp-gemv.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>launchGemmAndBiasCublasLt Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-blas-cpp-launchgemmandbiascublaslt.html</link>
      <description>Architecture documentation for the launchGemmAndBiasCublasLt class in Blas.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-blas-cpp-launchgemmandbiascublaslt.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>launchGemmCublas Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-blas-cpp-launchgemmcublas.html</link>
      <description>Architecture documentation for the launchGemmCublas class in Blas.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-blas-cpp-launchgemmcublas.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>launchTunableGemmAndBias Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-blas-cpp-launchtunablegemmandbias.html</link>
      <description>Architecture documentation for the launchTunableGemmAndBias class in Blas.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-blas-cpp-launchtunablegemmandbias.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>vdot_impl Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-blas-cpp-vdot-impl.html</link>
      <description>Architecture documentation for the vdot_impl class in Blas.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-blas-cpp-vdot-impl.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>dot_impl_floating Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-blaskernel-cpp-dot-impl-floating.html</link>
      <description>Architecture documentation for the dot_impl_floating class in BlasKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-blaskernel-cpp-dot-impl-floating.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>dot_impl Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-blaskernel-cpp-dot-impl.html</link>
      <description>Architecture documentation for the dot_impl class in BlasKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-blaskernel-cpp-dot-impl.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>dot_naive Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-blaskernel-cpp-dot-naive.html</link>
      <description>Architecture documentation for the dot_naive class in BlasKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-blaskernel-cpp-dot-naive.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>gemm_core_ Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-blaskernel-cpp-gemm-core.html</link>
      <description>Architecture documentation for the gemm_core_ class in BlasKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-blaskernel-cpp-gemm-core.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>gemm_notrans_ Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-blaskernel-cpp-gemm-notrans.html</link>
      <description>Architecture documentation for the gemm_notrans_ class in BlasKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-blaskernel-cpp-gemm-notrans.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>gemm_transa_ Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-blaskernel-cpp-gemm-transa.html</link>
      <description>Architecture documentation for the gemm_transa_ class in BlasKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-blaskernel-cpp-gemm-transa.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>gemm_transab_ Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-blaskernel-cpp-gemm-transab.html</link>
      <description>Architecture documentation for the gemm_transab_ class in BlasKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-blaskernel-cpp-gemm-transab.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>gemm_transb_impl Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-blaskernel-cpp-gemm-transb-impl.html</link>
      <description>Architecture documentation for the gemm_transb_impl class in BlasKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-blaskernel-cpp-gemm-transb-impl.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>gemm_transb_ Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-blaskernel-cpp-gemm-transb.html</link>
      <description>Architecture documentation for the gemm_transb_ class in BlasKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-blaskernel-cpp-gemm-transb.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>gemv_fast_path Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-blaskernel-cpp-gemv-fast-path.html</link>
      <description>Architecture documentation for the gemv_fast_path class in BlasKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-blaskernel-cpp-gemv-fast-path.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>gemv_use_fast_path Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-blaskernel-cpp-gemv-use-fast-path.html</link>
      <description>Architecture documentation for the gemv_use_fast_path class in BlasKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-blaskernel-cpp-gemv-use-fast-path.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>gemv Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-blaskernel-cpp-gemv.html</link>
      <description>Architecture documentation for the gemv class in BlasKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-blaskernel-cpp-gemv.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>is_same_v Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-blaskernel-cpp-is-same-v.html</link>
      <description>Architecture documentation for the is_same_v class in BlasKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-blaskernel-cpp-is-same-v.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>remove_const Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-blaskernel-cpp-remove-const.html</link>
      <description>Architecture documentation for the remove_const class in BlasKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-blaskernel-cpp-remove-const.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>scal_fast_path Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-blaskernel-cpp-scal-fast-path.html</link>
      <description>Architecture documentation for the scal_fast_path class in BlasKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-blaskernel-cpp-scal-fast-path.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>scal_use_fast_path Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-blaskernel-cpp-scal-use-fast-path.html</link>
      <description>Architecture documentation for the scal_use_fast_path class in BlasKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-blaskernel-cpp-scal-use-fast-path.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>scal Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-blaskernel-cpp-scal.html</link>
      <description>Architecture documentation for the scal class in BlasKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-blaskernel-cpp-scal.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>scale_ Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-blaskernel-cpp-scale.html</link>
      <description>Architecture documentation for the scale_ class in BlasKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-blaskernel-cpp-scale.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>sum Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-blaskernel-cpp-sum.html</link>
      <description>Architecture documentation for the sum class in BlasKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-blaskernel-cpp-sum.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>vdot_impl Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-blaskernel-cpp-vdot-impl.html</link>
      <description>Architecture documentation for the vdot_impl class in BlasKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-blaskernel-cpp-vdot-impl.html</guid>
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      <title>Get Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-blob-h-get.html</link>
      <description>Architecture documentation for the Get class in blob.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-blob-h-get.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <link>https://repos.supermodeltools.com/pytorch/class-blob-h-getmutable.html</link>
      <description>Architecture documentation for the GetMutable class in blob.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-blob-h-getmutable.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-blob-h-getmutableornull.html</link>
      <description>Architecture documentation for the GetMutableOrNull class in blob.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-blob-h-getmutableornull.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-blob-h-istype.html</link>
      <description>Architecture documentation for the IsType class in blob.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-blob-h-istype.html</guid>
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      <title>Reset Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-blob-h-reset.html</link>
      <description>Architecture documentation for the Reset class in blob.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-blob-h-reset.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-blob-h-shareexternal.html</link>
      <description>Architecture documentation for the ShareExternal class in blob.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-blob-h-shareexternal.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-blob-h-tensor.html</link>
      <description>Architecture documentation for the Tensor class in blob.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-blob-h-tensor.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <link>https://repos.supermodeltools.com/pytorch/class-blob-h-torch-api.html</link>
      <description>Architecture documentation for the TORCH_API class in blob.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-blob-h-torch-api.html</guid>
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      <title>func Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-boxedkernel-h-func.html</link>
      <description>Architecture documentation for the func class in BoxedKernel.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-boxedkernel-h-func.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-boxedkernel-h-kernelfunction.html</link>
      <description>Architecture documentation for the KernelFunction class in BoxedKernel.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-boxedkernel-h-kernelfunction.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-boxedkernel-h-makefromfunctor.html</link>
      <description>Architecture documentation for the makeFromFunctor class in BoxedKernel.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-boxedkernel-h-makefromfunctor.html</guid>
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      <title>OperatorHandle Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-boxedkernel-h-operatorhandle.html</link>
      <description>Architecture documentation for the OperatorHandle class in BoxedKernel.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-boxedkernel-h-operatorhandle.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-boxedkernel-h-torch-api.html</link>
      <description>Architecture documentation for the TORCH_API class in BoxedKernel.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-boxedkernel-h-torch-api.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-boxedkernel-impl-h-func.html</link>
      <description>Architecture documentation for the func class in BoxedKernel_impl.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-boxedkernel-impl-h-func.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-boxedkernel-impl-h-makefromfunctor.html</link>
      <description>Architecture documentation for the makeFromFunctor class in BoxedKernel_impl.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-boxedkernel-impl-h-makefromfunctor.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-boxing-h-boxargs.html</link>
      <description>Architecture documentation for the boxArgs class in boxing.h from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-boxing-h-boxed-kernel-func.html</link>
      <description>Architecture documentation for the boxed_kernel_func class in boxing.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-boxing-h-boxed-kernel-func.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-boxing-h-boxed-size-one.html</link>
      <description>Architecture documentation for the boxed_size_one class in boxing.h from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-boxing-h-boxed-size.html</link>
      <description>Architecture documentation for the boxed_size class in boxing.h from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-boxing-h-boxedsize.html</link>
      <description>Architecture documentation for the BoxedSize class in boxing.h from the pytorch codebase.</description>
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      <title>declval Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-boxing-h-declval.html</link>
      <description>Architecture documentation for the declval class in boxing.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-boxing-h-declval.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>FuncType Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-boxing-h-functype.html</link>
      <description>Architecture documentation for the FuncType class in boxing.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-boxing-h-functype.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>indices Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-boxing-h-indices.html</link>
      <description>Architecture documentation for the indices class in boxing.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-boxing-h-indices.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>is_mutable_tensor_ref Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-boxing-h-is-mutable-tensor-ref.html</link>
      <description>Architecture documentation for the is_mutable_tensor_ref class in boxing.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-boxing-h-is-mutable-tensor-ref.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>IValue Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-boxing-h-ivalue.html</link>
      <description>Architecture documentation for the IValue class in boxing.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-boxing-h-ivalue.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>stack Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-boxing-h-stack.html</link>
      <description>Architecture documentation for the stack class in boxing.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-boxing-h-stack.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>Ts Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-boxing-h-ts.html</link>
      <description>Architecture documentation for the Ts class in boxing.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-boxing-h-ts.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>value Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-boxing-h-value.html</link>
      <description>Architecture documentation for the value class in boxing.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-boxing-h-value.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>void Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-boxing-h-void.html</link>
      <description>Architecture documentation for the void class in boxing.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-boxing-h-void.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>cus_lower_bound Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-bucketization-cpp-cus-lower-bound.html</link>
      <description>Architecture documentation for the cus_lower_bound class in Bucketization.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-bucketization-cpp-cus-lower-bound.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>cus_upper_bound Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-bucketization-cpp-cus-upper-bound.html</link>
      <description>Architecture documentation for the cus_upper_bound class in Bucketization.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-bucketization-cpp-cus-upper-bound.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>searchsorted_cpu_contiguous Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-bucketization-cpp-searchsorted-cpu-contiguous.html</link>
      <description>Architecture documentation for the searchsorted_cpu_contiguous class in Bucketization.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-bucketization-cpp-searchsorted-cpu-contiguous.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>RunResult Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-cachebench-py-runresult.html</link>
      <description>Architecture documentation for the RunResult class in cachebench.py from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-cachebench-py-runresult.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>CachingHostAllocatorImpl Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-cachinghostallocator-h-cachinghostallocatorimpl.html</link>
      <description>Architecture documentation for the CachingHostAllocatorImpl class in CachingHostAllocator.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-cachinghostallocator-h-cachinghostallocatorimpl.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>deleteFunc Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-cachinghostallocator-h-deletefunc.html</link>
      <description>Architecture documentation for the deleteFunc class in CachingHostAllocator.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-cachinghostallocator-h-deletefunc.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>device_type Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-cachinghostallocator-h-device-type.html</link>
      <description>Architecture documentation for the device_type class in CachingHostAllocator.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-cachinghostallocator-h-device-type.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>hardware_destructive_interference_size Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-cachinghostallocator-h-hardware-destructive-interference-size.html</link>
      <description>Architecture documentation for the hardware_destructive_interference_size class in CachingHostAllocator.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-cachinghostallocator-h-hardware-destructive-interference-size.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>HostBlock Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-cachinghostallocator-h-hostblock.html</link>
      <description>Architecture documentation for the HostBlock class in CachingHostAllocator.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-cachinghostallocator-h-hostblock.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>HostBlockPool Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-cachinghostallocator-h-hostblockpool.html</link>
      <description>Architecture documentation for the HostBlockPool class in CachingHostAllocator.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-cachinghostallocator-h-hostblockpool.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>HostPrivatePool Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-cachinghostallocator-h-hostprivatepool.html</link>
      <description>Architecture documentation for the HostPrivatePool class in CachingHostAllocator.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-cachinghostallocator-h-hostprivatepool.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>TensorBase Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-canuse32bitindexmath-h-tensorbase.html</link>
      <description>Architecture documentation for the TensorBase class in CanUse32BitIndexMath.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-canuse32bitindexmath-h-tensorbase.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>cat_serial_kernel_impl Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-catkernel-cpp-cat-serial-kernel-impl.html</link>
      <description>Architecture documentation for the cat_serial_kernel_impl class in CatKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-catkernel-cpp-cat-serial-kernel-impl.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>C10_HOST_DEVICE Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-ceil-div-h-c10-host-device.html</link>
      <description>Architecture documentation for the C10_HOST_DEVICE class in ceil_div.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-ceil-div-h-c10-host-device.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>ChannelShuffleOperatorTester Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-channel-shuffle-operator-tester-h-channelshuffleoperatortester.html</link>
      <description>Architecture documentation for the ChannelShuffleOperatorTester class in channel-shuffle-operator-tester.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-channel-shuffle-operator-tester-h-channelshuffleoperatortester.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>QChannelShuffle Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-channelshuffle-cpp-qchannelshuffle.html</link>
      <description>Architecture documentation for the QChannelShuffle class in ChannelShuffle.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-channelshuffle-cpp-qchannelshuffle.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>cpu_channel_shuffle_cl Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-channelshufflekernel-cpp-cpu-channel-shuffle-cl.html</link>
      <description>Architecture documentation for the cpu_channel_shuffle_cl class in ChannelShuffleKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-channelshufflekernel-cpp-cpu-channel-shuffle-cl.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>cpu_channel_shuffle Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-channelshufflekernel-cpp-cpu-channel-shuffle.html</link>
      <description>Architecture documentation for the cpu_channel_shuffle class in ChannelShuffleKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-channelshufflekernel-cpp-cpu-channel-shuffle.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>TensorBase Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-channelshufflekernel-h-tensorbase.html</link>
      <description>Architecture documentation for the TensorBase class in ChannelShuffleKernel.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-channelshufflekernel-h-tensorbase.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>bgemm_internal_ck Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-ck-bgemm-h-bgemm-internal-ck.html</link>
      <description>Architecture documentation for the bgemm_internal_ck class in ck_bgemm.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-ck-bgemm-h-bgemm-internal-ck.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>gemm_internal_ck Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-ck-gemm-h-gemm-internal-ck.html</link>
      <description>Architecture documentation for the gemm_internal_ck class in ck_gemm.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-ck-gemm-h-gemm-internal-ck.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>BLOCK_SIZE Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-ck-gemm-template-h-block-size.html</link>
      <description>Architecture documentation for the BLOCK_SIZE class in ck_gemm_template.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-ck-gemm-template-h-block-size.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>__device__ Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-ck-gemm-template-h-device.html</link>
      <description>Architecture documentation for the __device__ class in ck_gemm_template.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-ck-gemm-template-h-device.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>Is Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-ck-gemm-template-h-is.html</link>
      <description>Architecture documentation for the Is class in ck_gemm_template.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-ck-gemm-template-h-is.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>CkMathType Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-ck-types-h-ckmathtype.html</link>
      <description>Architecture documentation for the CkMathType class in ck_types.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-ck-types-h-ckmathtype.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>CkTensorLayout Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-ck-types-h-cktensorlayout.html</link>
      <description>Architecture documentation for the CkTensorLayout class in ck_types.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-ck-types-h-cktensorlayout.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>ClampMicrokernelTester Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-clamp-microkernel-tester-h-clampmicrokerneltester.html</link>
      <description>Architecture documentation for the ClampMicrokernelTester class in clamp-microkernel-tester.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-clamp-microkernel-tester-h-clampmicrokerneltester.html</guid>
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      <title>ClampOperatorTester Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-clamp-operator-tester-h-clampoperatortester.html</link>
      <description>Architecture documentation for the ClampOperatorTester class in clamp-operator-tester.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-clamp-operator-tester-h-clampoperatortester.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>collapse_dims Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-collapsedims-h-collapse-dims.html</link>
      <description>Architecture documentation for the collapse_dims class in CollapseDims.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-collapsedims-h-collapse-dims.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>CommandBuffer Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-command-h-commandbuffer.html</link>
      <description>Architecture documentation for the CommandBuffer class in Command.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-command-h-commandbuffer.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>CommandPool Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-command-h-commandpool.html</link>
      <description>Architecture documentation for the CommandPool class in Command.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-command-h-commandpool.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>AOTInductorModelCache Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-common-py-aotinductormodelcache.html</link>
      <description>Architecture documentation for the AOTInductorModelCache class in common.py from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-common-py-aotinductormodelcache.html</guid>
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      <title>BenchmarkRunner Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-common-py-benchmarkrunner.html</link>
      <description>Architecture documentation for the BenchmarkRunner class in common.py from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-common-py-benchmarkrunner.html</guid>
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      <title>CI Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-common-py-ci.html</link>
      <description>Architecture documentation for the CI class in common.py from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-common-py-ci.html</guid>
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      <title>DummyGradScaler Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-common-py-dummygradscaler.html</link>
      <description>Architecture documentation for the DummyGradScaler class in common.py from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-common-py-dummygradscaler.html</guid>
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      <title>JitTracedCache Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-common-py-jittracedcache.html</link>
      <description>Architecture documentation for the JitTracedCache class in common.py from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-common-py-jittracedcache.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-common-py-nativertcache.html</link>
      <description>Architecture documentation for the NativeRTCache class in common.py from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-common-py-stats.html</link>
      <description>Architecture documentation for the Stats class in common.py from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-common-py-timeoutexception.html</link>
      <description>Architecture documentation for the TimeOutException class in common.py from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-comparisonutils-cpp-assert-match.html</link>
      <description>Architecture documentation for the _assert_match class in ComparisonUtils.cpp from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-comparisonutils-cpp-tensor.html</link>
      <description>Architecture documentation for the Tensor class in ComparisonUtils.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-comparisonutils-cpp-tensor.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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    <item>
      <title>KeyAccessor Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-compositerandomaccessor-h-keyaccessor-2.html</link>
      <description>Architecture documentation for the KeyAccessor class in CompositeRandomAccessor.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-compositerandomaccessor-h-keyaccessor-2.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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    <item>
      <title>KeyAccessor Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-compositerandomaccessor-h-keyaccessor.html</link>
      <description>Architecture documentation for the KeyAccessor class in CompositeRandomAccessor.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-compositerandomaccessor-h-keyaccessor.html</guid>
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      <title>swap Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-compositerandomaccessor-h-swap-2.html</link>
      <description>Architecture documentation for the swap class in CompositeRandomAccessor.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-compositerandomaccessor-h-swap-2.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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    <item>
      <title>swap Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-compositerandomaccessor-h-swap.html</link>
      <description>Architecture documentation for the swap class in CompositeRandomAccessor.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-compositerandomaccessor-h-swap.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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    <item>
      <title>tie Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-compositerandomaccessor-h-tie-2.html</link>
      <description>Architecture documentation for the tie class in CompositeRandomAccessor.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-compositerandomaccessor-h-tie-2.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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    <item>
      <title>tie Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-compositerandomaccessor-h-tie.html</link>
      <description>Architecture documentation for the tie class in CompositeRandomAccessor.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-compositerandomaccessor-h-tie.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>Types Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-compositerandomaccessor-h-types-2.html</link>
      <description>Architecture documentation for the Types class in CompositeRandomAccessor.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-compositerandomaccessor-h-types-2.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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    <item>
      <title>Types Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-compositerandomaccessor-h-types.html</link>
      <description>Architecture documentation for the Types class in CompositeRandomAccessor.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-compositerandomaccessor-h-types.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>accessor Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-compositerandomaccessorcommon-h-accessor.html</link>
      <description>Architecture documentation for the accessor class in CompositeRandomAccessorCommon.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-compositerandomaccessorcommon-h-accessor.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>CompositeRandomAccessor Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-compositerandomaccessorcommon-h-compositerandomaccessor.html</link>
      <description>Architecture documentation for the CompositeRandomAccessor class in CompositeRandomAccessorCommon.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-compositerandomaccessorcommon-h-compositerandomaccessor.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>keys Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-compositerandomaccessorcommon-h-keys.html</link>
      <description>Architecture documentation for the keys class in CompositeRandomAccessorCommon.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-compositerandomaccessorcommon-h-keys.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>operator_brackets_proxy Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-compositerandomaccessorcommon-h-operator-brackets-proxy.html</link>
      <description>Architecture documentation for the operator_brackets_proxy class in CompositeRandomAccessorCommon.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-compositerandomaccessorcommon-h-operator-brackets-proxy.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>references_holder Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-compositerandomaccessorcommon-h-references-holder.html</link>
      <description>Architecture documentation for the references_holder class in CompositeRandomAccessorCommon.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-compositerandomaccessorcommon-h-references-holder.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>refs Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-compositerandomaccessorcommon-h-refs.html</link>
      <description>Architecture documentation for the refs class in CompositeRandomAccessorCommon.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-compositerandomaccessorcommon-h-refs.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>apply Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-computesparsetile-h-apply.html</link>
      <description>Architecture documentation for the apply class in ComputeSparseTile.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-computesparsetile-h-apply.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>bool Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-computesparsetile-h-bool.html</link>
      <description>Architecture documentation for the bool class in ComputeSparseTile.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-computesparsetile-h-bool.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>named_algorithms Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-computesparsetile-h-named-algorithms.html</link>
      <description>Architecture documentation for the named_algorithms class in ComputeSparseTile.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-computesparsetile-h-named-algorithms.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>values Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-computesparsetile-h-values.html</link>
      <description>Architecture documentation for the values class in ComputeSparseTile.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-computesparsetile-h-values.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>any_arg_is_empty Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-context-h-any-arg-is-empty.html</link>
      <description>Architecture documentation for the any_arg_is_empty class in Context.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-context-h-any-arg-is-empty.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>Context Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-context-h-context.html</link>
      <description>Architecture documentation for the Context class in Context.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-context-h-context.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>Indices Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-context-h-indices.html</link>
      <description>Architecture documentation for the Indices class in Context.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-context-h-indices.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>MetalImplRegistrar Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-context-h-metalimplregistrar.html</link>
      <description>Architecture documentation for the MetalImplRegistrar class in Context.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-context-h-metalimplregistrar.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>record_copy Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-context-h-record-copy.html</link>
      <description>Architecture documentation for the record_copy class in Context.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-context-h-record-copy.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>StorageBuffer Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-context-h-storagebuffer.html</link>
      <description>Architecture documentation for the StorageBuffer class in Context.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-context-h-storagebuffer.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>submit_compute_job Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-context-h-submit-compute-job.html</link>
      <description>Architecture documentation for the submit_compute_job class in Context.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-context-h-submit-compute-job.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>submit_copy Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-context-h-submit-copy.html</link>
      <description>Architecture documentation for the submit_copy class in Context.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-context-h-submit-copy.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>Tensor Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-context-h-tensor.html</link>
      <description>Architecture documentation for the Tensor class in Context.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-context-h-tensor.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>TORCH_API Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-context-h-torch-api.html</link>
      <description>Architecture documentation for the TORCH_API class in Context.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-context-h-torch-api.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>UniformParamsBuffer Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-context-h-uniformparamsbuffer.html</link>
      <description>Architecture documentation for the UniformParamsBuffer class in Context.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-context-h-uniformparamsbuffer.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>update Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-context-h-update.html</link>
      <description>Architecture documentation for the update class in Context.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-context-h-update.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>VulkanImplRegistrar Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-context-h-vulkanimplregistrar.html</link>
      <description>Architecture documentation for the VulkanImplRegistrar class in Context.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-context-h-vulkanimplregistrar.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>kReluFused Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-conv-cpp-krelufused.html</link>
      <description>Architecture documentation for the kReluFused class in Conv.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-conv-cpp-krelufused.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>kSpatialDim Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-conv-cpp-kspatialdim.html</link>
      <description>Architecture documentation for the kSpatialDim class in Conv.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-conv-cpp-kspatialdim.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>QConv1dInt8 Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-conv-cpp-qconv1dint8.html</link>
      <description>Architecture documentation for the QConv1dInt8 class in Conv.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-conv-cpp-qconv1dint8.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>QConvInt8 Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-conv-cpp-qconvint8.html</link>
      <description>Architecture documentation for the QConvInt8 class in Conv.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-conv-cpp-qconvint8.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>algo_t Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-conv-miopen-cpp-algo-t.html</link>
      <description>Architecture documentation for the algo_t class in Conv_miopen.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-conv-miopen-cpp-algo-t.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>chooseAlgorithm Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-conv-miopen-cpp-choosealgorithm.html</link>
      <description>Architecture documentation for the chooseAlgorithm class in Conv_miopen.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-conv-miopen-cpp-choosealgorithm.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>chooseSolution Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-conv-miopen-cpp-choosesolution.html</link>
      <description>Architecture documentation for the chooseSolution class in Conv_miopen.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-conv-miopen-cpp-choosesolution.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>findAlgorithm Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-conv-miopen-cpp-findalgorithm.html</link>
      <description>Architecture documentation for the findAlgorithm class in Conv_miopen.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-conv-miopen-cpp-findalgorithm.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>getBestAlgorithm Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-conv-miopen-cpp-getbestalgorithm.html</link>
      <description>Architecture documentation for the getBestAlgorithm class in Conv_miopen.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-conv-miopen-cpp-getbestalgorithm.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>miopenConvolutionBwdDataAlgoGEMM Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-conv-miopen-cpp-miopenconvolutionbwddataalgogemm.html</link>
      <description>Architecture documentation for the miopenConvolutionBwdDataAlgoGEMM class in Conv_miopen.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-conv-miopen-cpp-miopenconvolutionbwddataalgogemm.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>miopenConvolutionBwdWeightsAlgoGEMM Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-conv-miopen-cpp-miopenconvolutionbwdweightsalgogemm.html</link>
      <description>Architecture documentation for the miopenConvolutionBwdWeightsAlgoGEMM class in Conv_miopen.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-conv-miopen-cpp-miopenconvolutionbwdweightsalgogemm.html</guid>
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      <title>miopenConvolutionFwdAlgoGEMM Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-conv-miopen-cpp-miopenconvolutionfwdalgogemm.html</link>
      <description>Architecture documentation for the miopenConvolutionFwdAlgoGEMM class in Conv_miopen.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-conv-miopen-cpp-miopenconvolutionfwdalgogemm.html</guid>
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      <title>params Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-conv-miopen-cpp-params.html</link>
      <description>Architecture documentation for the params class in Conv_miopen.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-conv-miopen-cpp-params.html</guid>
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      <title>split_batch_dim_to_32bit_out Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-conv-miopen-cpp-split-batch-dim-to-32bit-out.html</link>
      <description>Architecture documentation for the split_batch_dim_to_32bit_out class in Conv_miopen.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-conv-miopen-cpp-split-batch-dim-to-32bit-out.html</guid>
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      <title>kSpatialDim Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-conv-serialization-h-kspatialdim.html</link>
      <description>Architecture documentation for the kSpatialDim class in conv_serialization.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-conv-serialization-h-kspatialdim.html</guid>
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      <title>AlgoIterator Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-conv-v7-cpp-algoiterator.html</link>
      <description>Architecture documentation for the AlgoIterator class in Conv_v7.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-conv-v7-cpp-algoiterator.html</guid>
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      <title>CUDNN_CONVOLUTION_BWD_DATA_ALGO_1 Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-conv-v7-cpp-cudnn-convolution-bwd-data-algo-1.html</link>
      <description>Architecture documentation for the CUDNN_CONVOLUTION_BWD_DATA_ALGO_1 class in Conv_v7.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-conv-v7-cpp-cudnn-convolution-bwd-data-algo-1.html</guid>
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      <title>CUDNN_CONVOLUTION_BWD_FILTER_ALGO_1 Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-conv-v7-cpp-cudnn-convolution-bwd-filter-algo-1.html</link>
      <description>Architecture documentation for the CUDNN_CONVOLUTION_BWD_FILTER_ALGO_1 class in Conv_v7.cpp from the pytorch codebase.</description>
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      <title>CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-conv-v7-cpp-cudnn-convolution-fwd-algo-implicit-precomp-gemm.html</link>
      <description>Architecture documentation for the CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM class in Conv_v7.cpp from the pytorch codebase.</description>
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      <title>getMaxWorkspaceSize Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-conv-v7-cpp-getmaxworkspacesize.html</link>
      <description>Architecture documentation for the getMaxWorkspaceSize class in Conv_v7.cpp from the pytorch codebase.</description>
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      <title>getValidAlgorithms Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-conv-v7-cpp-getvalidalgorithms.html</link>
      <description>Architecture documentation for the getValidAlgorithms class in Conv_v7.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-conv-v7-cpp-getvalidalgorithms.html</guid>
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      <title>params Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-conv-v7-cpp-params.html</link>
      <description>Architecture documentation for the params class in Conv_v7.cpp from the pytorch codebase.</description>
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      <title>perf_t Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-conv-v7-cpp-perf-t.html</link>
      <description>Architecture documentation for the perf_t class in Conv_v7.cpp from the pytorch codebase.</description>
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      <title>split_batch_dim_to_32bit_out Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-conv-v7-cpp-split-batch-dim-to-32bit-out.html</link>
      <description>Architecture documentation for the split_batch_dim_to_32bit_out class in Conv_v7.cpp from the pytorch codebase.</description>
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      <title>key Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-conv-v8-cpp-key.html</link>
      <description>Architecture documentation for the key class in Conv_v8.cpp from the pytorch codebase.</description>
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      <title>any_of Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-convolution-cpp-any-of.html</link>
      <description>Architecture documentation for the any_of class in Convolution.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-convolution-cpp-any-of.html</guid>
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      <title>check_cudnn_depthwise_workload_with_filter Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-convolution-cpp-check-cudnn-depthwise-workload-with-filter.html</link>
      <description>Architecture documentation for the check_cudnn_depthwise_workload_with_filter class in Convolution.cpp from the pytorch codebase.</description>
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      <title>check_cudnn_depthwise_workload Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-convolution-cpp-check-cudnn-depthwise-workload.html</link>
      <description>Architecture documentation for the check_cudnn_depthwise_workload class in Convolution.cpp from the pytorch codebase.</description>
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      <title>check_shape_backward Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-convolution-cpp-check-shape-backward.html</link>
      <description>Architecture documentation for the check_shape_backward class in Convolution.cpp from the pytorch codebase.</description>
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      <title>check_shape_forward Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-convolution-cpp-check-shape-forward.html</link>
      <description>Architecture documentation for the check_shape_forward class in Convolution.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-convolution-cpp-check-shape-forward.html</guid>
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      <title>out Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-convolution-cpp-out.html</link>
      <description>Architecture documentation for the out class in Convolution.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-convolution-cpp-out.html</guid>
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      <title>_select_conv_backend Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-convolution-cpp-select-conv-backend.html</link>
      <description>Architecture documentation for the _select_conv_backend class in Convolution.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-convolution-cpp-select-conv-backend.html</guid>
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      <title>Conv1dPackedContext Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-convolution-h-conv1dpackedcontext.html</link>
      <description>Architecture documentation for the Conv1dPackedContext class in Convolution.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-convolution-h-conv1dpackedcontext.html</guid>
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      <title>Conv2dOpContext Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-convolution-h-conv2dopcontext.html</link>
      <description>Architecture documentation for the Conv2dOpContext class in Convolution.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-convolution-h-conv2dopcontext.html</guid>
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      <title>Conv2dPackedContext Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-convolution-h-conv2dpackedcontext.html</link>
      <description>Architecture documentation for the Conv2dPackedContext class in Convolution.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-convolution-h-conv2dpackedcontext.html</guid>
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      <title>ConvolutionOperatorTester Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-convolution-operator-tester-h-convolutionoperatortester.html</link>
      <description>Architecture documentation for the ConvolutionOperatorTester class in convolution-operator-tester.h from the pytorch codebase.</description>
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      <title>slow_conv2d_backward_update_grad_input_frame Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-convolutionmm2d-cpp-slow-conv2d-backward-update-grad-input-frame.html</link>
      <description>Architecture documentation for the slow_conv2d_backward_update_grad_input_frame class in ConvolutionMM2d.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-convolutionmm2d-cpp-slow-conv2d-backward-update-grad-input-frame.html</guid>
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      <title>slow_conv2d_backward_weight_frame Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-convolutionmm2d-cpp-slow-conv2d-backward-weight-frame.html</link>
      <description>Architecture documentation for the slow_conv2d_backward_weight_frame class in ConvolutionMM2d.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-convolutionmm2d-cpp-slow-conv2d-backward-weight-frame.html</guid>
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      <title>slow_conv2d_update_output_frame Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-convolutionmm2d-cpp-slow-conv2d-update-output-frame.html</link>
      <description>Architecture documentation for the slow_conv2d_update_output_frame class in ConvolutionMM2d.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-convolutionmm2d-cpp-slow-conv2d-update-output-frame.html</guid>
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      <title>slow_conv3d_backward_update_grad_input_frame Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-convolutionmm3d-cpp-slow-conv3d-backward-update-grad-input-frame.html</link>
      <description>Architecture documentation for the slow_conv3d_backward_update_grad_input_frame class in ConvolutionMM3d.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-convolutionmm3d-cpp-slow-conv3d-backward-update-grad-input-frame.html</guid>
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      <title>slow_conv3d_backward_weight_frame Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-convolutionmm3d-cpp-slow-conv3d-backward-weight-frame.html</link>
      <description>Architecture documentation for the slow_conv3d_backward_weight_frame class in ConvolutionMM3d.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-convolutionmm3d-cpp-slow-conv3d-backward-weight-frame.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-convolutionmm3d-cpp-slow-conv3d-update-output-frame.html</link>
      <description>Architecture documentation for the slow_conv3d_update_output_frame class in ConvolutionMM3d.cpp from the pytorch codebase.</description>
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      <title>kSpatialDim Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-convprepack-cpp-kspatialdim.html</link>
      <description>Architecture documentation for the kSpatialDim class in ConvPrepack.cpp from the pytorch codebase.</description>
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      <title>QConv1dPackWeightInt8Cudnn Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-convprepack-cpp-qconv1dpackweightint8cudnn.html</link>
      <description>Architecture documentation for the QConv1dPackWeightInt8Cudnn class in ConvPrepack.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-convprepack-cpp-qconv1dpackweightint8cudnn.html</guid>
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      <title>QConvPackWeightInt8Cudnn Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-convprepack-cpp-qconvpackweightint8cudnn.html</link>
      <description>Architecture documentation for the QConvPackWeightInt8Cudnn class in ConvPrepack.cpp from the pytorch codebase.</description>
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      <title>kSpatialDim Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-convunpackimpl-cpp-kspatialdim.html</link>
      <description>Architecture documentation for the kSpatialDim class in ConvUnpackImpl.cpp from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-convutils-h-conv-input-size.html</link>
      <description>Architecture documentation for the _conv_input_size class in ConvUtils.h from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-convutils-h-conv-output-size.html</link>
      <description>Architecture documentation for the _conv_output_size class in ConvUtils.h from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-convutils-h-conv-weight-size.html</link>
      <description>Architecture documentation for the _conv_weight_size class in ConvUtils.h from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-convutils-h-kspatialdim.html</link>
      <description>Architecture documentation for the kSpatialDim class in ConvUtils.h from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-convutils-h-makeconvoutputshape.html</link>
      <description>Architecture documentation for the MakeConvOutputShape class in ConvUtils.h from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-copy-h-memcpy-from-mapping-impl.html</link>
      <description>Architecture documentation for the memcpy_from_mapping_impl class in Copy.h from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-copy-h-memcpy-to-mapping-impl.html</link>
      <description>Architecture documentation for the memcpy_to_mapping_impl class in Copy.h from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-copy-h-tensor.html</link>
      <description>Architecture documentation for the Tensor class in Copy.h from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-copy-h-tensorbase.html</link>
      <description>Architecture documentation for the TensorBase class in Copy.h from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-cpp-custom-type-hack-h-deprecated.html</link>
      <description>Architecture documentation for the deprecated class in cpp_custom_type_hack.h from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-cppsignature-h-make.html</link>
      <description>Architecture documentation for the make class in CppSignature.h from the pytorch codebase.</description>
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      <description>Architecture documentation for the TORCH_API class in CppSignature.h from the pytorch codebase.</description>
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      <description>Architecture documentation for the RNGTest class in cpu_rng_test.cpp from the pytorch codebase.</description>
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      <description>Architecture documentation for the apply_op class in CPUApplyUtils.h from the pytorch codebase.</description>
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      <title>forward Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-cpuapplyutils-h-forward.html</link>
      <description>Architecture documentation for the forward class in CPUApplyUtils.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-cpuapplyutils-h-forward.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>iterate_continue Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-cpuapplyutils-h-iterate-continue.html</link>
      <description>Architecture documentation for the iterate_continue class in CPUApplyUtils.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-cpuapplyutils-h-iterate-continue.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>iterate_overflow Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-cpuapplyutils-h-iterate-overflow.html</link>
      <description>Architecture documentation for the iterate_overflow class in CPUApplyUtils.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-cpuapplyutils-h-iterate-overflow.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>iterate Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-cpuapplyutils-h-iterate.html</link>
      <description>Architecture documentation for the iterate class in CPUApplyUtils.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-cpuapplyutils-h-iterate.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>max_dim Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-cpuapplyutils-h-max-dim.html</link>
      <description>Architecture documentation for the max_dim class in CPUApplyUtils.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-cpuapplyutils-h-max-dim.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>max_iterate_size Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-cpuapplyutils-h-max-iterate-size.html</link>
      <description>Architecture documentation for the max_iterate_size class in CPUApplyUtils.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-cpuapplyutils-h-max-iterate-size.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>strided_tensor_iter Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-cpuapplyutils-h-strided-tensor-iter.html</link>
      <description>Architecture documentation for the strided_tensor_iter class in CPUApplyUtils.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-cpuapplyutils-h-strided-tensor-iter.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>call Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-cpublas-cpp-call.html</link>
      <description>Architecture documentation for the call class in CPUBlas.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-cpublas-cpp-call.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>gemm_batched_generic Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-cpublas-cpp-gemm-batched-generic.html</link>
      <description>Architecture documentation for the gemm_batched_generic class in CPUBlas.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-cpublas-cpp-gemm-batched-generic.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>gemm_batched_mkl_impl Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-cpublas-cpp-gemm-batched-mkl-impl.html</link>
      <description>Architecture documentation for the gemm_batched_mkl_impl class in CPUBlas.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-cpublas-cpp-gemm-batched-mkl-impl.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>gemm_batched_with_stride_generic Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-cpublas-cpp-gemm-batched-with-stride-generic.html</link>
      <description>Architecture documentation for the gemm_batched_with_stride_generic class in CPUBlas.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-cpublas-cpp-gemm-batched-with-stride-generic.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>gemm_batched_with_stride Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-cpublas-cpp-gemm-batched-with-stride.html</link>
      <description>Architecture documentation for the gemm_batched_with_stride class in CPUBlas.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-cpublas-cpp-gemm-batched-with-stride.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>gemm_batched Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-cpublas-cpp-gemm-batched.html</link>
      <description>Architecture documentation for the gemm_batched class in CPUBlas.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-cpublas-cpp-gemm-batched.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>is_same_v Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-cpublas-cpp-is-same-v.html</link>
      <description>Architecture documentation for the is_same_v class in CPUBlas.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-cpublas-cpp-is-same-v.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>key Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-cpublas-cpp-key.html</link>
      <description>Architecture documentation for the key class in CPUBlas.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-cpublas-cpp-key.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>axpy Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-cpublas-h-axpy.html</link>
      <description>Architecture documentation for the axpy class in CPUBlas.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-cpublas-h-axpy.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>copy Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-cpublas-h-copy.html</link>
      <description>Architecture documentation for the copy class in CPUBlas.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-cpublas-h-copy.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>gemm_batched_with_stride Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-cpublas-h-gemm-batched-with-stride.html</link>
      <description>Architecture documentation for the gemm_batched_with_stride class in CPUBlas.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-cpublas-h-gemm-batched-with-stride.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>gemm_batched Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-cpublas-h-gemm-batched.html</link>
      <description>Architecture documentation for the gemm_batched class in CPUBlas.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-cpublas-h-gemm-batched.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>gemm Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-cpublas-h-gemm.html</link>
      <description>Architecture documentation for the gemm class in CPUBlas.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-cpublas-h-gemm.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>is_same_v Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-cpufallback-cpp-is-same-v.html</link>
      <description>Architecture documentation for the is_same_v class in CPUFallback.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-cpufallback-cpp-is-same-v.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>fallback_fn Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-cpufallback-h-fallback-fn.html</link>
      <description>Architecture documentation for the fallback_fn class in CPUFallback.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-cpufallback-h-fallback-fn.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>Tensor Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-cross-h-tensor.html</link>
      <description>Architecture documentation for the Tensor class in Cross.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-cross-h-tensor.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>apply_cross Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-crosskernel-cpp-apply-cross.html</link>
      <description>Architecture documentation for the apply_cross class in CrossKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-crosskernel-cpp-apply-cross.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>exclusive_sum_in_common_type Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-cub-h-exclusive-sum-in-common-type.html</link>
      <description>Architecture documentation for the exclusive_sum_in_common_type class in cub.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-cub-h-exclusive-sum-in-common-type.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>exclusive_sum Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-cub-h-exclusive-sum.html</link>
      <description>Architecture documentation for the exclusive_sum class in cub.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-cub-h-exclusive-sum.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>inclusive_sum_truncating Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-cub-h-inclusive-sum-truncating.html</link>
      <description>Architecture documentation for the inclusive_sum_truncating class in cub.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-cub-h-inclusive-sum-truncating.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>inclusive_sum Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-cub-h-inclusive-sum.html</link>
      <description>Architecture documentation for the inclusive_sum class in cub.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-cub-h-inclusive-sum.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>OpaqueType Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-cub-h-opaquetype.html</link>
      <description>Architecture documentation for the OpaqueType class in cub.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-cub-h-opaquetype.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>radix_sort_keys Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-cub-h-radix-sort-keys.html</link>
      <description>Architecture documentation for the radix_sort_keys class in cub.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-cub-h-radix-sort-keys.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>radix_sort_pairs Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-cub-h-radix-sort-pairs.html</link>
      <description>Architecture documentation for the radix_sort_pairs class in cub.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-cub-h-radix-sort-pairs.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>value_size Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-cub-h-value-size.html</link>
      <description>Architecture documentation for the value_size class in cub.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-cub-h-value-size.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>UserDataDeleter Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-cuda-caching-host-allocator-test-cpp-userdatadeleter.html</link>
      <description>Architecture documentation for the UserDataDeleter class in cuda_caching_host_allocator_test.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-cuda-caching-host-allocator-test-cpp-userdatadeleter.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>bgemm_internal_cublas_bfloat16_helper Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-cudablas-cpp-bgemm-internal-cublas-bfloat16-helper.html</link>
      <description>Architecture documentation for the bgemm_internal_cublas_bfloat16_helper class in CUDABlas.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-cudablas-cpp-bgemm-internal-cublas-bfloat16-helper.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>bgemm_internal_cublas_half_helper Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-cudablas-cpp-bgemm-internal-cublas-half-helper.html</link>
      <description>Architecture documentation for the bgemm_internal_cublas_half_helper class in CUDABlas.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-cudablas-cpp-bgemm-internal-cublas-half-helper.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>bgemm_internal_cublas Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-cudablas-cpp-bgemm-internal-cublas.html</link>
      <description>Architecture documentation for the bgemm_internal_cublas class in CUDABlas.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-cudablas-cpp-bgemm-internal-cublas.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>bgemm_internal_cublaslt Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-cudablas-cpp-bgemm-internal-cublaslt.html</link>
      <description>Architecture documentation for the bgemm_internal_cublaslt class in CUDABlas.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-cudablas-cpp-bgemm-internal-cublaslt.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>bgemm_internal Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-cudablas-cpp-bgemm-internal.html</link>
      <description>Architecture documentation for the bgemm_internal class in CUDABlas.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-cudablas-cpp-bgemm-internal.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>bgemm_tunable Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-cudablas-cpp-bgemm-tunable.html</link>
      <description>Architecture documentation for the bgemm_tunable class in CUDABlas.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-cudablas-cpp-bgemm-tunable.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>bgemm Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-cudablas-cpp-bgemm.html</link>
      <description>Architecture documentation for the bgemm class in CUDABlas.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-cudablas-cpp-bgemm.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>CuBlasLtDescriptor Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-cudablas-cpp-cublasltdescriptor.html</link>
      <description>Architecture documentation for the CuBlasLtDescriptor class in CUDABlas.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-cudablas-cpp-cublasltdescriptor.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>CuBlasLtMatmulDescriptor Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-cudablas-cpp-cublasltmatmuldescriptor.html</link>
      <description>Architecture documentation for the CuBlasLtMatmulDescriptor class in CUDABlas.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-cudablas-cpp-cublasltmatmuldescriptor.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>CuBlasLtMatmulPreference Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-cudablas-cpp-cublasltmatmulpreference.html</link>
      <description>Architecture documentation for the CuBlasLtMatmulPreference class in CUDABlas.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-cudablas-cpp-cublasltmatmulpreference.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>CuBlasLtMatrixLayout Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-cudablas-cpp-cublasltmatrixlayout.html</link>
      <description>Architecture documentation for the CuBlasLtMatrixLayout class in CUDABlas.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-cudablas-cpp-cublasltmatrixlayout.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-cudablas-cpp-destructor.html</link>
      <description>Architecture documentation for the destructor class in CUDABlas.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-cudablas-cpp-destructor.html</guid>
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      <title>dot Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-cudablas-cpp-dot.html</link>
      <description>Architecture documentation for the dot class in CUDABlas.cpp from the pytorch codebase.</description>
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      <title>gelsBatched Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-cudablas-cpp-gelsbatched.html</link>
      <description>Architecture documentation for the gelsBatched class in CUDABlas.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-cudablas-cpp-gelsbatched.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-cudablas-cpp-gemm-and-bias.html</link>
      <description>Architecture documentation for the gemm_and_bias class in CUDABlas.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-cudablas-cpp-gemm-and-bias.html</guid>
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      <title>gemm_internal_cublas_bfloat16_helper Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-cudablas-cpp-gemm-internal-cublas-bfloat16-helper.html</link>
      <description>Architecture documentation for the gemm_internal_cublas_bfloat16_helper class in CUDABlas.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-cudablas-cpp-gemm-internal-cublas-bfloat16-helper.html</guid>
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      <title>gemm_internal_cublas_half_helper Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-cudablas-cpp-gemm-internal-cublas-half-helper.html</link>
      <description>Architecture documentation for the gemm_internal_cublas_half_helper class in CUDABlas.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-cudablas-cpp-gemm-internal-cublas-half-helper.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>gemm_internal_cublas Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-cudablas-cpp-gemm-internal-cublas.html</link>
      <description>Architecture documentation for the gemm_internal_cublas class in CUDABlas.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-cudablas-cpp-gemm-internal-cublas.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>gemm_internal_cublaslt Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-cudablas-cpp-gemm-internal-cublaslt.html</link>
      <description>Architecture documentation for the gemm_internal_cublaslt class in CUDABlas.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-cudablas-cpp-gemm-internal-cublaslt.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>gemm_internal Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-cudablas-cpp-gemm-internal.html</link>
      <description>Architecture documentation for the gemm_internal class in CUDABlas.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-cudablas-cpp-gemm-internal.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>gemm_tunable Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-cudablas-cpp-gemm-tunable.html</link>
      <description>Architecture documentation for the gemm_tunable class in CUDABlas.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-cudablas-cpp-gemm-tunable.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>gemm Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-cudablas-cpp-gemm.html</link>
      <description>Architecture documentation for the gemm class in CUDABlas.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-cudablas-cpp-gemm.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>gemv Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-cudablas-cpp-gemv.html</link>
      <description>Architecture documentation for the gemv class in CUDABlas.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-cudablas-cpp-gemv.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>geqrfBatched Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-cudablas-cpp-geqrfbatched.html</link>
      <description>Architecture documentation for the geqrfBatched class in CUDABlas.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-cudablas-cpp-geqrfbatched.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>getrfBatched Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-cudablas-cpp-getrfbatched.html</link>
      <description>Architecture documentation for the getrfBatched class in CUDABlas.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-cudablas-cpp-getrfbatched.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>getrsBatched Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-cudablas-cpp-getrsbatched.html</link>
      <description>Architecture documentation for the getrsBatched class in CUDABlas.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-cudablas-cpp-getrsbatched.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>setAttribute Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-cudablas-cpp-setattribute.html</link>
      <description>Architecture documentation for the setAttribute class in CUDABlas.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-cudablas-cpp-setattribute.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>trsm Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-cudablas-cpp-trsm.html</link>
      <description>Architecture documentation for the trsm class in CUDABlas.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-cudablas-cpp-trsm.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>trsmBatched Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-cudablas-cpp-trsmbatched.html</link>
      <description>Architecture documentation for the trsmBatched class in CUDABlas.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-cudablas-cpp-trsmbatched.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>vdot Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-cudablas-cpp-vdot.html</link>
      <description>Architecture documentation for the vdot class in CUDABlas.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-cudablas-cpp-vdot.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>bgemm_internal Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-cudablas-h-bgemm-internal.html</link>
      <description>Architecture documentation for the bgemm_internal class in CUDABlas.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-cudablas-h-bgemm-internal.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>bgemm Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-cudablas-h-bgemm.html</link>
      <description>Architecture documentation for the bgemm class in CUDABlas.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-cudablas-h-bgemm.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>CUDABLAS_GEMM_DTYPE_IS_FLOAT_TYPE_AND_C_DTYPE_IS_FLOAT Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-cudablas-h-cudablas-gemm-dtype-is-float-type-and-c-dtype-is-float.html</link>
      <description>Architecture documentation for the CUDABLAS_GEMM_DTYPE_IS_FLOAT_TYPE_AND_C_DTYPE_IS_FLOAT class in CUDABlas.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-cudablas-h-cudablas-gemm-dtype-is-float-type-and-c-dtype-is-float.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>dot Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-cudablas-h-dot.html</link>
      <description>Architecture documentation for the dot class in CUDABlas.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-cudablas-h-dot.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>gelsBatched Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-cudablas-h-gelsbatched.html</link>
      <description>Architecture documentation for the gelsBatched class in CUDABlas.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-cudablas-h-gelsbatched.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>gemm_and_bias Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-cudablas-h-gemm-and-bias.html</link>
      <description>Architecture documentation for the gemm_and_bias class in CUDABlas.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-cudablas-h-gemm-and-bias.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>gemm_internal Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-cudablas-h-gemm-internal.html</link>
      <description>Architecture documentation for the gemm_internal class in CUDABlas.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-cudablas-h-gemm-internal.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>gemm Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-cudablas-h-gemm.html</link>
      <description>Architecture documentation for the gemm class in CUDABlas.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-cudablas-h-gemm.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>gemv Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-cudablas-h-gemv.html</link>
      <description>Architecture documentation for the gemv class in CUDABlas.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-cudablas-h-gemv.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>geqrfBatched Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-cudablas-h-geqrfbatched.html</link>
      <description>Architecture documentation for the geqrfBatched class in CUDABlas.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-cudablas-h-geqrfbatched.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>getrfBatched Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-cudablas-h-getrfbatched.html</link>
      <description>Architecture documentation for the getrfBatched class in CUDABlas.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-cudablas-h-getrfbatched.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>getrsBatched Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-cudablas-h-getrsbatched.html</link>
      <description>Architecture documentation for the getrsBatched class in CUDABlas.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-cudablas-h-getrsbatched.html</guid>
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      <title>PointerModeGuard Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-cudablas-h-pointermodeguard.html</link>
      <description>Architecture documentation for the PointerModeGuard class in CUDABlas.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-cudablas-h-pointermodeguard.html</guid>
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      <title>trsm Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-cudablas-h-trsm.html</link>
      <description>Architecture documentation for the trsm class in CUDABlas.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-cudablas-h-trsm.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>trsmBatched Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-cudablas-h-trsmbatched.html</link>
      <description>Architecture documentation for the trsmBatched class in CUDABlas.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-cudablas-h-trsmbatched.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>vdot Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-cudablas-h-vdot.html</link>
      <description>Architecture documentation for the vdot class in CUDABlas.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-cudablas-h-vdot.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>void Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-cudablas-h-void.html</link>
      <description>Architecture documentation for the void class in CUDABlas.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-cudablas-h-void.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>getCudaDataType Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-cudadatatype-h-getcudadatatype.html</link>
      <description>Architecture documentation for the getCudaDataType class in CUDADataType.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-cudadatatype-h-getcudadatatype.html</guid>
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      <title>TORCH_CUDA_CPP_API Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-cudagreencontext-h-torch-cuda-cpp-api.html</link>
      <description>Architecture documentation for the TORCH_CUDA_CPP_API class in CUDAGreenContext.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-cudagreencontext-h-torch-cuda-cpp-api.html</guid>
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      <title>convert_int_to_enum Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-cudascaledblas-h-convert-int-to-enum.html</link>
      <description>Architecture documentation for the convert_int_to_enum class in CUDAScaledBlas.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-cudascaledblas-h-convert-int-to-enum.html</guid>
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      <title>geqrf_bufferSize Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-cudasolver-cpp-geqrf-buffersize.html</link>
      <description>Architecture documentation for the geqrf_bufferSize class in CUDASolver.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-cudasolver-cpp-geqrf-buffersize.html</guid>
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      <title>geqrf Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-cudasolver-cpp-geqrf.html</link>
      <description>Architecture documentation for the geqrf class in CUDASolver.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-cudasolver-cpp-geqrf.html</guid>
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      <title>gesvd_buffersize Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-cudasolver-cpp-gesvd-buffersize.html</link>
      <description>Architecture documentation for the gesvd_buffersize class in CUDASolver.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-cudasolver-cpp-gesvd-buffersize.html</guid>
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      <title>gesvd Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-cudasolver-cpp-gesvd.html</link>
      <description>Architecture documentation for the gesvd class in CUDASolver.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-cudasolver-cpp-gesvd.html</guid>
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      <title>gesvdaStridedBatched_buffersize Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-cudasolver-cpp-gesvdastridedbatched-buffersize.html</link>
      <description>Architecture documentation for the gesvdaStridedBatched_buffersize class in CUDASolver.cpp from the pytorch codebase.</description>
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      <title>gesvdaStridedBatched Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-cudasolver-cpp-gesvdastridedbatched.html</link>
      <description>Architecture documentation for the gesvdaStridedBatched class in CUDASolver.cpp from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-cudasolver-cpp-gesvdj-buffersize.html</link>
      <description>Architecture documentation for the gesvdj_buffersize class in CUDASolver.cpp from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-cudasolver-cpp-gesvdj.html</link>
      <description>Architecture documentation for the gesvdj class in CUDASolver.cpp from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-cudasolver-cpp-gesvdjbatched.html</link>
      <description>Architecture documentation for the gesvdjBatched class in CUDASolver.cpp from the pytorch codebase.</description>
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      <title>get_cusolver_datatype Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-cudasolver-cpp-get-cusolver-datatype.html</link>
      <description>Architecture documentation for the get_cusolver_datatype class in CUDASolver.cpp from the pytorch codebase.</description>
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      <title>getrf Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-cudasolver-cpp-getrf.html</link>
      <description>Architecture documentation for the getrf class in CUDASolver.cpp from the pytorch codebase.</description>
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      <title>getrs Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-cudasolver-cpp-getrs.html</link>
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      <description>Architecture documentation for the orgqr_buffersize class in CUDASolver.cpp from the pytorch codebase.</description>
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      <description>Architecture documentation for the orgqr class in CUDASolver.cpp from the pytorch codebase.</description>
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      <description>Architecture documentation for the ormqr class in CUDASolver.cpp from the pytorch codebase.</description>
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      <description>Architecture documentation for the potrf_buffersize class in CUDASolver.cpp from the pytorch codebase.</description>
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      <description>Architecture documentation for the potrf class in CUDASolver.cpp from the pytorch codebase.</description>
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      <description>Architecture documentation for the potrfBatched class in CUDASolver.cpp from the pytorch codebase.</description>
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      <description>Architecture documentation for the potrs class in CUDASolver.cpp from the pytorch codebase.</description>
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      <description>Architecture documentation for the potrsBatched class in CUDASolver.cpp from the pytorch codebase.</description>
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      <description>Architecture documentation for the syevd_bufferSize class in CUDASolver.cpp from the pytorch codebase.</description>
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      <description>Architecture documentation for the syevd class in CUDASolver.cpp from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-cudasolver-cpp-syevj-buffersize.html</link>
      <description>Architecture documentation for the syevj_bufferSize class in CUDASolver.cpp from the pytorch codebase.</description>
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      <description>Architecture documentation for the syevj class in CUDASolver.cpp from the pytorch codebase.</description>
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      <description>Architecture documentation for the syevjBatched_bufferSize class in CUDASolver.cpp from the pytorch codebase.</description>
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      <description>Architecture documentation for the syevjBatched class in CUDASolver.cpp from the pytorch codebase.</description>
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      <title>sytrf_bufferSize Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-cudasolver-cpp-sytrf-buffersize.html</link>
      <description>Architecture documentation for the sytrf_bufferSize class in CUDASolver.cpp from the pytorch codebase.</description>
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      <description>Architecture documentation for the sytrf class in CUDASolver.cpp from the pytorch codebase.</description>
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      <title>xgeev_bufferSize Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-cudasolver-cpp-xgeev-buffersize.html</link>
      <description>Architecture documentation for the xgeev_bufferSize class in CUDASolver.cpp from the pytorch codebase.</description>
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      <description>Architecture documentation for the xgeev class in CUDASolver.cpp from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-cudasolver-cpp-xgeqrf-buffersize.html</link>
      <description>Architecture documentation for the xgeqrf_bufferSize class in CUDASolver.cpp from the pytorch codebase.</description>
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      <description>Architecture documentation for the xgeqrf class in CUDASolver.cpp from the pytorch codebase.</description>
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      <title>xsyevBatched_bufferSize Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-cudasolver-cpp-xsyevbatched-buffersize.html</link>
      <description>Architecture documentation for the xsyevBatched_bufferSize class in CUDASolver.cpp from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-cudasolver-cpp-xsyevbatched.html</link>
      <description>Architecture documentation for the xsyevBatched class in CUDASolver.cpp from the pytorch codebase.</description>
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      <title>xsyevd_bufferSize Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-cudasolver-cpp-xsyevd-buffersize.html</link>
      <description>Architecture documentation for the xsyevd_bufferSize class in CUDASolver.cpp from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-cudasolver-cpp-xsyevd.html</link>
      <description>Architecture documentation for the xsyevd class in CUDASolver.cpp from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-cudasolver-h-geqrf-buffersize.html</link>
      <description>Architecture documentation for the geqrf_bufferSize class in CUDASolver.h from the pytorch codebase.</description>
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      <description>Architecture documentation for the geqrf class in CUDASolver.h from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-cudasolver-h-gesvd-buffersize.html</link>
      <description>Architecture documentation for the gesvd_buffersize class in CUDASolver.h from the pytorch codebase.</description>
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      <description>Architecture documentation for the gesvd class in CUDASolver.h from the pytorch codebase.</description>
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      <description>Architecture documentation for the gesvdaStridedBatched_buffersize class in CUDASolver.h from the pytorch codebase.</description>
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      <description>Architecture documentation for the gesvdaStridedBatched class in CUDASolver.h from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-cudasolver-h-gesvdj-buffersize.html</link>
      <description>Architecture documentation for the gesvdj_buffersize class in CUDASolver.h from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-cudasolver-h-gesvdj.html</link>
      <description>Architecture documentation for the gesvdj class in CUDASolver.h from the pytorch codebase.</description>
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      <description>Architecture documentation for the gesvdjBatched class in CUDASolver.h from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-cudasolver-h-get-cusolver-datatype.html</link>
      <description>Architecture documentation for the get_cusolver_datatype class in CUDASolver.h from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-cudasolver-h-getrf.html</link>
      <description>Architecture documentation for the getrf class in CUDASolver.h from the pytorch codebase.</description>
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      <description>Architecture documentation for the getrs class in CUDASolver.h from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-cudasolver-h-orgqr-buffersize.html</link>
      <description>Architecture documentation for the orgqr_buffersize class in CUDASolver.h from the pytorch codebase.</description>
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      <description>Architecture documentation for the orgqr class in CUDASolver.h from the pytorch codebase.</description>
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      <description>Architecture documentation for the ormqr_bufferSize class in CUDASolver.h from the pytorch codebase.</description>
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      <description>Architecture documentation for the ormqr class in CUDASolver.h from the pytorch codebase.</description>
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      <description>Architecture documentation for the potrf_buffersize class in CUDASolver.h from the pytorch codebase.</description>
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      <description>Architecture documentation for the potrf class in CUDASolver.h from the pytorch codebase.</description>
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      <description>Architecture documentation for the potrfBatched class in CUDASolver.h from the pytorch codebase.</description>
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      <description>Architecture documentation for the potrs class in CUDASolver.h from the pytorch codebase.</description>
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      <description>Architecture documentation for the syevd_bufferSize class in CUDASolver.h from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-cudasolver-h-syevd.html</link>
      <description>Architecture documentation for the syevd class in CUDASolver.h from the pytorch codebase.</description>
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      <title>syevj_bufferSize Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-cudasolver-h-syevj-buffersize.html</link>
      <description>Architecture documentation for the syevj_bufferSize class in CUDASolver.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-cudasolver-h-syevj-buffersize.html</guid>
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      <title>syevj Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-cudasolver-h-syevj.html</link>
      <description>Architecture documentation for the syevj class in CUDASolver.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-cudasolver-h-syevj.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>syevjBatched_bufferSize Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-cudasolver-h-syevjbatched-buffersize.html</link>
      <description>Architecture documentation for the syevjBatched_bufferSize class in CUDASolver.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-cudasolver-h-syevjbatched-buffersize.html</guid>
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      <title>syevjBatched Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-cudasolver-h-syevjbatched.html</link>
      <description>Architecture documentation for the syevjBatched class in CUDASolver.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-cudasolver-h-syevjbatched.html</guid>
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      <title>sytrf_bufferSize Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-cudasolver-h-sytrf-buffersize.html</link>
      <description>Architecture documentation for the sytrf_bufferSize class in CUDASolver.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-cudasolver-h-sytrf-buffersize.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>sytrf Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-cudasolver-h-sytrf.html</link>
      <description>Architecture documentation for the sytrf class in CUDASolver.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-cudasolver-h-sytrf.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>xgeev_bufferSize Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-cudasolver-h-xgeev-buffersize.html</link>
      <description>Architecture documentation for the xgeev_bufferSize class in CUDASolver.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-cudasolver-h-xgeev-buffersize.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>xgeev Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-cudasolver-h-xgeev.html</link>
      <description>Architecture documentation for the xgeev class in CUDASolver.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-cudasolver-h-xgeev.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>xgeqrf_bufferSize Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-cudasolver-h-xgeqrf-buffersize.html</link>
      <description>Architecture documentation for the xgeqrf_bufferSize class in CUDASolver.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-cudasolver-h-xgeqrf-buffersize.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>xgeqrf Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-cudasolver-h-xgeqrf.html</link>
      <description>Architecture documentation for the xgeqrf class in CUDASolver.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-cudasolver-h-xgeqrf.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>xsyevBatched_bufferSize Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-cudasolver-h-xsyevbatched-buffersize.html</link>
      <description>Architecture documentation for the xsyevBatched_bufferSize class in CUDASolver.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-cudasolver-h-xsyevbatched-buffersize.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>xsyevBatched Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-cudasolver-h-xsyevbatched.html</link>
      <description>Architecture documentation for the xsyevBatched class in CUDASolver.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-cudasolver-h-xsyevbatched.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>xsyevd_bufferSize Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-cudasolver-h-xsyevd-buffersize.html</link>
      <description>Architecture documentation for the xsyevd_bufferSize class in CUDASolver.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-cudasolver-h-xsyevd-buffersize.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>xsyevd Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-cudasolver-h-xsyevd.html</link>
      <description>Architecture documentation for the xsyevd class in CUDASolver.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-cudasolver-h-xsyevd.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>bsrmm Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-cudasparseblas-cpp-bsrmm.html</link>
      <description>Architecture documentation for the bsrmm class in CUDASparseBlas.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-cudasparseblas-cpp-bsrmm.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>bsrmv Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-cudasparseblas-cpp-bsrmv.html</link>
      <description>Architecture documentation for the bsrmv class in CUDASparseBlas.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-cudasparseblas-cpp-bsrmv.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>bsrsm2_analysis Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-cudasparseblas-cpp-bsrsm2-analysis.html</link>
      <description>Architecture documentation for the bsrsm2_analysis class in CUDASparseBlas.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-cudasparseblas-cpp-bsrsm2-analysis.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>bsrsm2_bufferSize Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-cudasparseblas-cpp-bsrsm2-buffersize.html</link>
      <description>Architecture documentation for the bsrsm2_bufferSize class in CUDASparseBlas.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-cudasparseblas-cpp-bsrsm2-buffersize.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>bsrsm2_solve Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-cudasparseblas-cpp-bsrsm2-solve.html</link>
      <description>Architecture documentation for the bsrsm2_solve class in CUDASparseBlas.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-cudasparseblas-cpp-bsrsm2-solve.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>bsrsv2_analysis Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-cudasparseblas-cpp-bsrsv2-analysis.html</link>
      <description>Architecture documentation for the bsrsv2_analysis class in CUDASparseBlas.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-cudasparseblas-cpp-bsrsv2-analysis.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>bsrsv2_bufferSize Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-cudasparseblas-cpp-bsrsv2-buffersize.html</link>
      <description>Architecture documentation for the bsrsv2_bufferSize class in CUDASparseBlas.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-cudasparseblas-cpp-bsrsv2-buffersize.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>bsrsv2_solve Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-cudasparseblas-cpp-bsrsv2-solve.html</link>
      <description>Architecture documentation for the bsrsv2_solve class in CUDASparseBlas.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-cudasparseblas-cpp-bsrsv2-solve.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>csrgeam2_bufferSizeExt Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-cudasparseblas-cpp-csrgeam2-buffersizeext.html</link>
      <description>Architecture documentation for the csrgeam2_bufferSizeExt class in CUDASparseBlas.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-cudasparseblas-cpp-csrgeam2-buffersizeext.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>csrgeam2 Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-cudasparseblas-cpp-csrgeam2.html</link>
      <description>Architecture documentation for the csrgeam2 class in CUDASparseBlas.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-cudasparseblas-cpp-csrgeam2.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>bsrmm Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-cudasparseblas-h-bsrmm.html</link>
      <description>Architecture documentation for the bsrmm class in CUDASparseBlas.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-cudasparseblas-h-bsrmm.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>bsrmv Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-cudasparseblas-h-bsrmv.html</link>
      <description>Architecture documentation for the bsrmv class in CUDASparseBlas.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-cudasparseblas-h-bsrmv.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>bsrsm2_analysis Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-cudasparseblas-h-bsrsm2-analysis.html</link>
      <description>Architecture documentation for the bsrsm2_analysis class in CUDASparseBlas.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-cudasparseblas-h-bsrsm2-analysis.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>bsrsm2_bufferSize Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-cudasparseblas-h-bsrsm2-buffersize.html</link>
      <description>Architecture documentation for the bsrsm2_bufferSize class in CUDASparseBlas.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-cudasparseblas-h-bsrsm2-buffersize.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>bsrsm2_solve Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-cudasparseblas-h-bsrsm2-solve.html</link>
      <description>Architecture documentation for the bsrsm2_solve class in CUDASparseBlas.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-cudasparseblas-h-bsrsm2-solve.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>bsrsv2_analysis Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-cudasparseblas-h-bsrsv2-analysis.html</link>
      <description>Architecture documentation for the bsrsv2_analysis class in CUDASparseBlas.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-cudasparseblas-h-bsrsv2-analysis.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>bsrsv2_bufferSize Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-cudasparseblas-h-bsrsv2-buffersize.html</link>
      <description>Architecture documentation for the bsrsv2_bufferSize class in CUDASparseBlas.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-cudasparseblas-h-bsrsv2-buffersize.html</guid>
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      <title>bsrsv2_solve Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-cudasparseblas-h-bsrsv2-solve.html</link>
      <description>Architecture documentation for the bsrsv2_solve class in CUDASparseBlas.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-cudasparseblas-h-bsrsv2-solve.html</guid>
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      <title>csrgeam2_bufferSizeExt Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-cudasparseblas-h-csrgeam2-buffersizeext.html</link>
      <description>Architecture documentation for the csrgeam2_bufferSizeExt class in CUDASparseBlas.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-cudasparseblas-h-csrgeam2-buffersizeext.html</guid>
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      <title>csrgeam2 Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-cudasparseblas-h-csrgeam2.html</link>
      <description>Architecture documentation for the csrgeam2 class in CUDASparseBlas.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-cudasparseblas-h-csrgeam2.html</guid>
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      <title>csrgeam2Nnz Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-cudasparseblas-h-csrgeam2nnz.html</link>
      <description>Architecture documentation for the csrgeam2Nnz class in CUDASparseBlas.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-cudasparseblas-h-csrgeam2nnz.html</guid>
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      <title>ConstCuSparseDescriptor Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-cudasparsedescriptors-h-constcusparsedescriptor.html</link>
      <description>Architecture documentation for the ConstCuSparseDescriptor class in CUDASparseDescriptors.h from the pytorch codebase.</description>
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      <title>CuSparseDescriptor Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-cudasparsedescriptors-h-cusparsedescriptor.html</link>
      <description>Architecture documentation for the CuSparseDescriptor class in CUDASparseDescriptors.h from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-cudasparsedescriptors-h-destructor.html</link>
      <description>Architecture documentation for the destructor class in CUDASparseDescriptors.h from the pytorch codebase.</description>
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      <title>TORCH_CUDA_CPP_API Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-cudasparsedescriptors-h-torch-cuda-cpp-api.html</link>
      <description>Architecture documentation for the TORCH_CUDA_CPP_API class in CUDASparseDescriptors.h from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-cufftplancache-h-cufftconfig.html</link>
      <description>Architecture documentation for the CuFFTConfig class in CuFFTPlanCache.h from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-cufftplancache-h-cuffthandle.html</link>
      <description>Architecture documentation for the CuFFTHandle class in CuFFTPlanCache.h from the pytorch codebase.</description>
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      <description>Architecture documentation for the CuFFTParamsLRUCache class in CuFFTPlanCache.h from the pytorch codebase.</description>
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      <description>Architecture documentation for the getCustomClassType class in custom_class.h from the pytorch codebase.</description>
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      <title>Stages Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-custom-mma-base-h-stages.html</link>
      <description>Architecture documentation for the Stages class in custom_mma_base.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-custom-mma-base-h-stages.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>CacheOpA Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-custom-mma-h-cacheopa.html</link>
      <description>Architecture documentation for the CacheOpA class in custom_mma.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-custom-mma-h-cacheopa.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>kMaxK Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-custom-mma-h-kmaxk.html</link>
      <description>Architecture documentation for the kMaxK class in custom_mma.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-custom-mma-h-kmaxk.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>CacheOpA Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-custom-mma-multistage-h-cacheopa.html</link>
      <description>Architecture documentation for the CacheOpA class in custom_mma_multistage.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-custom-mma-multistage-h-cacheopa.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>CustomMmaMultistage Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-custom-mma-multistage-h-custommmamultistage.html</link>
      <description>Architecture documentation for the CustomMmaMultistage class in custom_mma_multistage.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-custom-mma-multistage-h-custommmamultistage.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>kLoadA Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-custom-mma-multistage-h-kloada.html</link>
      <description>Architecture documentation for the kLoadA class in custom_mma_multistage.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-custom-mma-multistage-h-kloada.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>CustomMmaPipelined Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-custom-mma-pipelined-h-custommmapipelined.html</link>
      <description>Architecture documentation for the CustomMmaPipelined class in custom_mma_pipelined.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-custom-mma-pipelined-h-custommmapipelined.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>kLoadA Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-custom-mma-pipelined-h-kloada.html</link>
      <description>Architecture documentation for the kLoadA class in custom_mma_pipelined.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-custom-mma-pipelined-h-kloada.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>kTransformA Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-custom-mma-pipelined-h-ktransforma.html</link>
      <description>Architecture documentation for the kTransformA class in custom_mma_pipelined.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-custom-mma-pipelined-h-ktransforma.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>dispatch_cutlassB_bf16_sm80 Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-cutlassb-h-dispatch-cutlassb-bf16-sm80.html</link>
      <description>Architecture documentation for the dispatch_cutlassB_bf16_sm80 class in cutlassB.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-cutlassb-h-dispatch-cutlassb-bf16-sm80.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>dispatch_cutlassB_f16_sm50 Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-cutlassb-h-dispatch-cutlassb-f16-sm50.html</link>
      <description>Architecture documentation for the dispatch_cutlassB_f16_sm50 class in cutlassB.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-cutlassb-h-dispatch-cutlassb-f16-sm50.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>dispatch_cutlassB_f16_sm70 Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-cutlassb-h-dispatch-cutlassb-f16-sm70.html</link>
      <description>Architecture documentation for the dispatch_cutlassB_f16_sm70 class in cutlassB.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-cutlassb-h-dispatch-cutlassb-f16-sm70.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>dispatch_cutlassB_f16_sm75 Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-cutlassb-h-dispatch-cutlassb-f16-sm75.html</link>
      <description>Architecture documentation for the dispatch_cutlassB_f16_sm75 class in cutlassB.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-cutlassb-h-dispatch-cutlassb-f16-sm75.html</guid>
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      <title>dispatch_cutlassB_f16_sm80 Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-cutlassb-h-dispatch-cutlassb-f16-sm80.html</link>
      <description>Architecture documentation for the dispatch_cutlassB_f16_sm80 class in cutlassB.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-cutlassb-h-dispatch-cutlassb-f16-sm80.html</guid>
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      <title>dispatch_cutlassB_f32_sm50 Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-cutlassb-h-dispatch-cutlassb-f32-sm50.html</link>
      <description>Architecture documentation for the dispatch_cutlassB_f32_sm50 class in cutlassB.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-cutlassb-h-dispatch-cutlassb-f32-sm50.html</guid>
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      <title>dispatch_cutlassB_f32_sm70 Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-cutlassb-h-dispatch-cutlassb-f32-sm70.html</link>
      <description>Architecture documentation for the dispatch_cutlassB_f32_sm70 class in cutlassB.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-cutlassb-h-dispatch-cutlassb-f32-sm70.html</guid>
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      <title>dispatch_cutlassB_f32_sm75 Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-cutlassb-h-dispatch-cutlassb-f32-sm75.html</link>
      <description>Architecture documentation for the dispatch_cutlassB_f32_sm75 class in cutlassB.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-cutlassb-h-dispatch-cutlassb-f32-sm75.html</guid>
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      <title>dispatch_cutlassB_f32_sm80 Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-cutlassb-h-dispatch-cutlassb-f32-sm80.html</link>
      <description>Architecture documentation for the dispatch_cutlassB_f32_sm80 class in cutlassB.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-cutlassb-h-dispatch-cutlassb-f32-sm80.html</guid>
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      <title>dispatch_cutlassB Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-cutlassb-h-dispatch-cutlassb.html</link>
      <description>Architecture documentation for the dispatch_cutlassB class in cutlassB.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-cutlassb-h-dispatch-cutlassb.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>dispatch_cutlassF_bf16_sm80 Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-cutlassf-h-dispatch-cutlassf-bf16-sm80.html</link>
      <description>Architecture documentation for the dispatch_cutlassF_bf16_sm80 class in cutlassF.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-cutlassf-h-dispatch-cutlassf-bf16-sm80.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>dispatch_cutlassF_f16_sm50 Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-cutlassf-h-dispatch-cutlassf-f16-sm50.html</link>
      <description>Architecture documentation for the dispatch_cutlassF_f16_sm50 class in cutlassF.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-cutlassf-h-dispatch-cutlassf-f16-sm50.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>dispatch_cutlassF_f16_sm70 Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-cutlassf-h-dispatch-cutlassf-f16-sm70.html</link>
      <description>Architecture documentation for the dispatch_cutlassF_f16_sm70 class in cutlassF.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-cutlassf-h-dispatch-cutlassf-f16-sm70.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>dispatch_cutlassF_f16_sm75 Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-cutlassf-h-dispatch-cutlassf-f16-sm75.html</link>
      <description>Architecture documentation for the dispatch_cutlassF_f16_sm75 class in cutlassF.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-cutlassf-h-dispatch-cutlassf-f16-sm75.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>dispatch_cutlassF_f16_sm80 Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-cutlassf-h-dispatch-cutlassf-f16-sm80.html</link>
      <description>Architecture documentation for the dispatch_cutlassF_f16_sm80 class in cutlassF.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-cutlassf-h-dispatch-cutlassf-f16-sm80.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>dispatch_cutlassF_f32_sm50 Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-cutlassf-h-dispatch-cutlassf-f32-sm50.html</link>
      <description>Architecture documentation for the dispatch_cutlassF_f32_sm50 class in cutlassF.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-cutlassf-h-dispatch-cutlassf-f32-sm50.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>dispatch_cutlassF_f32_sm70 Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-cutlassf-h-dispatch-cutlassf-f32-sm70.html</link>
      <description>Architecture documentation for the dispatch_cutlassF_f32_sm70 class in cutlassF.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-cutlassf-h-dispatch-cutlassf-f32-sm70.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>dispatch_cutlassF_f32_sm75 Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-cutlassf-h-dispatch-cutlassf-f32-sm75.html</link>
      <description>Architecture documentation for the dispatch_cutlassF_f32_sm75 class in cutlassF.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-cutlassf-h-dispatch-cutlassf-f32-sm75.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>dispatch_cutlassF_f32_sm80 Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-cutlassf-h-dispatch-cutlassf-f32-sm80.html</link>
      <description>Architecture documentation for the dispatch_cutlassF_f32_sm80 class in cutlassF.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-cutlassf-h-dispatch-cutlassf-f32-sm80.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>dispatch_cutlassF Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-cutlassf-h-dispatch-cutlassf.html</link>
      <description>Architecture documentation for the dispatch_cutlassF class in cutlassF.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-cutlassf-h-dispatch-cutlassf.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>__get_type_name Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-debug-utils-h-get-type-name.html</link>
      <description>Architecture documentation for the __get_type_name class in debug_utils.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-debug-utils-h-get-type-name.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>void Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-debug-utils-h-void.html</link>
      <description>Architecture documentation for the void class in debug_utils.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-debug-utils-h-void.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>DeconvolutionOperatorTester Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-deconvolution-operator-tester-h-deconvolutionoperatortester.html</link>
      <description>Architecture documentation for the DeconvolutionOperatorTester class in deconvolution-operator-tester.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-deconvolution-operator-tester-h-deconvolutionoperatortester.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>IteratorB Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-default-dq-mma-h-iteratorb.html</link>
      <description>Architecture documentation for the IteratorB class in default_dq_mma.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-default-dq-mma-h-iteratorb.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>kAlignmentA Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-default-dq-mma-h-kalignmenta.html</link>
      <description>Architecture documentation for the kAlignmentA class in default_dq_mma.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-default-dq-mma-h-kalignmenta.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>kAlignmentA Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-default-dq-mma-multistage-h-kalignmenta.html</link>
      <description>Architecture documentation for the kAlignmentA class in default_dq_mma_multistage.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-default-dq-mma-multistage-h-kalignmenta.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>kAlignmentA Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-default-dq-mma-pipelined-h-kalignmenta.html</link>
      <description>Architecture documentation for the kAlignmentA class in default_dq_mma_pipelined.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-default-dq-mma-pipelined-h-kalignmenta.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>arch Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-default-fpa-intb-traits-h-arch.html</link>
      <description>Architecture documentation for the arch class in default_fpA_intB_traits.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-default-fpa-intb-traits-h-arch.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>TypeA Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-default-fpa-intb-traits-h-typea.html</link>
      <description>Architecture documentation for the TypeA class in default_fpA_intB_traits.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-default-fpa-intb-traits-h-typea.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>value Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-default-fpa-intb-traits-h-value.html</link>
      <description>Architecture documentation for the value class in default_fpA_intB_traits.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-default-fpa-intb-traits-h-value.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>kAlignmentA Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-default-mma-bf16-h-kalignmenta.html</link>
      <description>Architecture documentation for the kAlignmentA class in default_mma_bf16.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-default-mma-bf16-h-kalignmenta.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>kAlignmentA Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-default-mma-h-kalignmenta.html</link>
      <description>Architecture documentation for the kAlignmentA class in default_mma.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-default-mma-h-kalignmenta.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>PartitionsK Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-default-mma-tensor-op-h-partitionsk.html</link>
      <description>Architecture documentation for the PartitionsK class in default_mma_tensor_op.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-default-mma-tensor-op-h-partitionsk.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>kInstrK Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-default-warp-iterator-from-smem-h-kinstrk.html</link>
      <description>Architecture documentation for the kInstrK class in default_warp_iterator_from_smem.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-default-warp-iterator-from-smem-h-kinstrk.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>value Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-default-warp-iterator-from-smem-h-value.html</link>
      <description>Architecture documentation for the value class in default_warp_iterator_from_smem.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-default-warp-iterator-from-smem-h-value.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <link>https://repos.supermodeltools.com/pytorch/class-default-warp-iterator-from-smem-h-warpshape.html</link>
      <description>Architecture documentation for the WarpShape class in default_warp_iterator_from_smem.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-default-warp-iterator-from-smem-h-warpshape.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>Tensor Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-deprecatedtypeproperties-h-tensor.html</link>
      <description>Architecture documentation for the Tensor class in DeprecatedTypeProperties.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-deprecatedtypeproperties-h-tensor.html</guid>
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      <title>TORCH_API Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-deprecatedtypeproperties-h-torch-api.html</link>
      <description>Architecture documentation for the TORCH_API class in DeprecatedTypeProperties.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-deprecatedtypeproperties-h-torch-api.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>DeprecatedTypeProperties Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-deprecatedtypepropertiesregistry-h-deprecatedtypeproperties.html</link>
      <description>Architecture documentation for the DeprecatedTypeProperties class in DeprecatedTypePropertiesRegistry.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-deprecatedtypepropertiesregistry-h-deprecatedtypeproperties.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>TORCH_API Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-deprecatedtypepropertiesregistry-h-torch-api.html</link>
      <description>Architecture documentation for the TORCH_API class in DeprecatedTypePropertiesRegistry.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-deprecatedtypepropertiesregistry-h-torch-api.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>Tensor Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-depthwiseconvkernel-h-tensor.html</link>
      <description>Architecture documentation for the Tensor class in DepthwiseConvKernel.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-depthwiseconvkernel-h-tensor.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>DescriptorPool Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-descriptor-h-descriptorpool.html</link>
      <description>Architecture documentation for the DescriptorPool class in Descriptor.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-descriptor-h-descriptorpool.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>DescriptorSet Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-descriptor-h-descriptorset.html</link>
      <description>Architecture documentation for the DescriptorSet class in Descriptor.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-descriptor-h-descriptorset.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>DescriptorSetPile Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-descriptor-h-descriptorsetpile.html</link>
      <description>Architecture documentation for the DescriptorSetPile class in Descriptor.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-descriptor-h-descriptorsetpile.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>ctor Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-descriptors-h-ctor-2.html</link>
      <description>Architecture documentation for the ctor class in Descriptors.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-descriptors-h-ctor-2.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>ctor Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-descriptors-h-ctor.html</link>
      <description>Architecture documentation for the ctor class in Descriptors.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-descriptors-h-ctor.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>DftiDescriptor Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-descriptors-h-dftidescriptor.html</link>
      <description>Architecture documentation for the DftiDescriptor class in Descriptors.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-descriptors-h-dftidescriptor.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>dtor Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-descriptors-h-dtor-2.html</link>
      <description>Architecture documentation for the dtor class in Descriptors.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-descriptors-h-dtor-2.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>dtor Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-descriptors-h-dtor.html</link>
      <description>Architecture documentation for the dtor class in Descriptors.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-descriptors-h-dtor.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>fixSizeOneDimStride Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-descriptors-h-fixsizeonedimstride-2.html</link>
      <description>Architecture documentation for the fixSizeOneDimStride class in Descriptors.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-descriptors-h-fixsizeonedimstride-2.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>fixSizeOneDimStride Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-descriptors-h-fixsizeonedimstride.html</link>
      <description>Architecture documentation for the fixSizeOneDimStride class in Descriptors.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-descriptors-h-fixsizeonedimstride.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>TORCH_CUDA_CPP_API Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-descriptors-h-torch-cuda-cpp-api-2.html</link>
      <description>Architecture documentation for the TORCH_CUDA_CPP_API class in Descriptors.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-descriptors-h-torch-cuda-cpp-api-2.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>TORCH_CUDA_CPP_API Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-descriptors-h-torch-cuda-cpp-api.html</link>
      <description>Architecture documentation for the TORCH_CUDA_CPP_API class in Descriptors.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-descriptors-h-torch-cuda-cpp-api.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>is_same_v Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-deviceaccelerator-h-is-same-v.html</link>
      <description>Architecture documentation for the is_same_v class in DeviceAccelerator.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-deviceaccelerator-h-is-same-v.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>Create Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-devicethreadhandles-h-create.html</link>
      <description>Architecture documentation for the Create class in DeviceThreadHandles.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-devicethreadhandles-h-create.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>PoolWindow Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-devicethreadhandles-h-poolwindow.html</link>
      <description>Architecture documentation for the PoolWindow class in DeviceThreadHandles.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-devicethreadhandles-h-poolwindow.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>Dict Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-dict-h-dict.html</link>
      <description>Architecture documentation for the Dict class in Dict.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-dict-h-dict.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>DictEntryRef Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-dict-h-dictentryref.html</link>
      <description>Architecture documentation for the DictEntryRef class in Dict.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-dict-h-dictentryref.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>DictIterator Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-dict-h-dictiterator.html</link>
      <description>Architecture documentation for the DictIterator class in Dict.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-dict-h-dictiterator.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>insert_or_assign Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-dict-h-insert-or-assign.html</link>
      <description>Architecture documentation for the insert_or_assign class in Dict.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-dict-h-insert-or-assign.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>insert Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-dict-h-insert.html</link>
      <description>Architecture documentation for the insert class in Dict.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-dict-h-insert.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>is_same_v Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-dict-h-is-same-v.html</link>
      <description>Architecture documentation for the is_same_v class in Dict.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-dict-h-is-same-v.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>Key Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-dict-h-key.html</link>
      <description>Architecture documentation for the Key class in Dict.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-dict-h-key.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>lhs Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-dict-h-lhs.html</link>
      <description>Architecture documentation for the lhs class in Dict.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-dict-h-lhs.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>setValue Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-dict-h-setvalue.html</link>
      <description>Architecture documentation for the setValue class in Dict.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-dict-h-setvalue.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>toGenericDict Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-dict-h-togenericdict.html</link>
      <description>Architecture documentation for the toGenericDict class in Dict.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-dict-h-togenericdict.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>toTypedDict Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-dict-h-totypeddict.html</link>
      <description>Architecture documentation for the toTypedDict class in Dict.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-dict-h-totypeddict.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>at Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-dict-inl-h-at.html</link>
      <description>Architecture documentation for the at class in Dict_inl.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-dict-inl-h-at.html</guid>
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      <title>begin Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-dict-inl-h-begin.html</link>
      <description>Architecture documentation for the begin class in Dict_inl.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-dict-inl-h-begin.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>clear Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-dict-inl-h-clear.html</link>
      <description>Architecture documentation for the clear class in Dict_inl.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-dict-inl-h-clear.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>contains Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-dict-inl-h-contains.html</link>
      <description>Architecture documentation for the contains class in Dict_inl.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-dict-inl-h-contains.html</guid>
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      <title>copy Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-dict-inl-h-copy.html</link>
      <description>Architecture documentation for the copy class in Dict_inl.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-dict-inl-h-copy.html</guid>
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      <title>Dict Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-dict-inl-h-dict.html</link>
      <description>Architecture documentation for the Dict class in Dict_inl.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-dict-inl-h-dict.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>empty Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-dict-inl-h-empty.html</link>
      <description>Architecture documentation for the empty class in Dict_inl.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-dict-inl-h-empty.html</guid>
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      <title>end Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-dict-inl-h-end.html</link>
      <description>Architecture documentation for the end class in Dict_inl.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-dict-inl-h-end.html</guid>
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      <title>erase Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-dict-inl-h-erase.html</link>
      <description>Architecture documentation for the erase class in Dict_inl.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-dict-inl-h-erase.html</guid>
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      <title>find Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-dict-inl-h-find.html</link>
      <description>Architecture documentation for the find class in Dict_inl.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-dict-inl-h-find.html</guid>
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      <title>getTypePtr Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-dict-inl-h-gettypeptr.html</link>
      <description>Architecture documentation for the getTypePtr class in Dict_inl.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-dict-inl-h-gettypeptr.html</guid>
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      <title>insert_or_assign Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-dict-inl-h-insert-or-assign.html</link>
      <description>Architecture documentation for the insert_or_assign class in Dict_inl.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-dict-inl-h-insert-or-assign.html</guid>
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      <title>insert Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-dict-inl-h-insert.html</link>
      <description>Architecture documentation for the insert class in Dict_inl.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-dict-inl-h-insert.html</guid>
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      <title>is Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-dict-inl-h-is.html</link>
      <description>Architecture documentation for the is class in Dict_inl.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-dict-inl-h-is.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-dict-inl-h-keytype.html</link>
      <description>Architecture documentation for the keyType class in Dict_inl.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-dict-inl-h-keytype.html</guid>
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      <title>lhs Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-dict-inl-h-lhs.html</link>
      <description>Architecture documentation for the lhs class in Dict_inl.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-dict-inl-h-lhs.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-dict-inl-h-nodiscard.html</link>
      <description>Architecture documentation for the nodiscard class in Dict_inl.h from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-dict-inl-h-reserve.html</link>
      <description>Architecture documentation for the reserve class in Dict_inl.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-dict-inl-h-reserve.html</guid>
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      <title>size Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-dict-inl-h-size.html</link>
      <description>Architecture documentation for the size class in Dict_inl.h from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-dict-inl-h-togenericdict.html</link>
      <description>Architecture documentation for the toGenericDict class in Dict_inl.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-dict-inl-h-togenericdict.html</guid>
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      <title>toTypedDict Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-dict-inl-h-totypeddict.html</link>
      <description>Architecture documentation for the toTypedDict class in Dict_inl.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-dict-inl-h-totypeddict.html</guid>
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      <title>unsafeSetKeyType Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-dict-inl-h-unsafesetkeytype.html</link>
      <description>Architecture documentation for the unsafeSetKeyType class in Dict_inl.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-dict-inl-h-unsafesetkeytype.html</guid>
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      <title>unsafeSetValueType Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-dict-inl-h-unsafesetvaluetype.html</link>
      <description>Architecture documentation for the unsafeSetValueType class in Dict_inl.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-dict-inl-h-unsafesetvaluetype.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>valueType Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-dict-inl-h-valuetype.html</link>
      <description>Architecture documentation for the valueType class in Dict_inl.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-dict-inl-h-valuetype.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>dim Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-dilatedconvolutionutils-h-dim.html</link>
      <description>Architecture documentation for the dim class in DilatedConvolutionUtils.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-dilatedconvolutionutils-h-dim.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>RegistrationListenerList Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-dispatcher-cpp-registrationlistenerlist.html</link>
      <description>Architecture documentation for the RegistrationListenerList class in Dispatcher.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-dispatcher-cpp-registrationlistenerlist.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>call Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-dispatcher-h-call.html</link>
      <description>Architecture documentation for the call class in Dispatcher.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-dispatcher-h-call.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>callWithDispatchKeySlowPath Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-dispatcher-h-callwithdispatchkeyslowpath.html</link>
      <description>Architecture documentation for the callWithDispatchKeySlowPath class in Dispatcher.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-dispatcher-h-callwithdispatchkeyslowpath.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>CaptureKernelCall Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-dispatcher-h-capturekernelcall.html</link>
      <description>Architecture documentation for the CaptureKernelCall class in Dispatcher.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-dispatcher-h-capturekernelcall.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>false_t Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-dispatcher-h-false-t.html</link>
      <description>Architecture documentation for the false_t class in Dispatcher.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-dispatcher-h-false-t.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>FuncType Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-dispatcher-h-functype.html</link>
      <description>Architecture documentation for the FuncType class in Dispatcher.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-dispatcher-h-functype.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>getPythonOp Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-dispatcher-h-getpythonop.html</link>
      <description>Architecture documentation for the getPythonOp class in Dispatcher.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-dispatcher-h-getpythonop.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>op Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-dispatcher-h-op.html</link>
      <description>Architecture documentation for the op class in Dispatcher.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-dispatcher-h-op.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>redispatch Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-dispatcher-h-redispatch.html</link>
      <description>Architecture documentation for the redispatch class in Dispatcher.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-dispatcher-h-redispatch.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>RegistrationListenerList Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-dispatcher-h-registrationlistenerlist.html</link>
      <description>Architecture documentation for the RegistrationListenerList class in Dispatcher.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-dispatcher-h-registrationlistenerlist.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>release Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-dispatcher-h-release.html</link>
      <description>Architecture documentation for the release class in Dispatcher.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-dispatcher-h-release.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>SchemaRegistrationHandleRAII Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-dispatcher-h-schemaregistrationhandleraii.html</link>
      <description>Architecture documentation for the SchemaRegistrationHandleRAII class in Dispatcher.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-dispatcher-h-schemaregistrationhandleraii.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>TORCH_API Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-dispatcher-h-torch-api.html</link>
      <description>Architecture documentation for the TORCH_API class in Dispatcher.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-dispatcher-h-torch-api.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>typed Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-dispatcher-h-typed.html</link>
      <description>Architecture documentation for the typed class in Dispatcher.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-dispatcher-h-typed.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>TypedOperatorHandle Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-dispatcher-h-typedoperatorhandle.html</link>
      <description>Architecture documentation for the TypedOperatorHandle class in Dispatcher.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-dispatcher-h-typedoperatorhandle.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>unused_arg_ Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-dispatcher-h-unused-arg.html</link>
      <description>Architecture documentation for the unused_arg_ class in Dispatcher.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-dispatcher-h-unused-arg.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>getDispatchKeySetUnboxed Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-dispatchkeyextractor-h-getdispatchkeysetunboxed.html</link>
      <description>Architecture documentation for the getDispatchKeySetUnboxed class in DispatchKeyExtractor.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-dispatchkeyextractor-h-getdispatchkeysetunboxed.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>multi_dispatch_key_set Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-dispatchkeyextractor-h-multi-dispatch-key-set.html</link>
      <description>Architecture documentation for the multi_dispatch_key_set class in DispatchKeyExtractor.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-dispatchkeyextractor-h-multi-dispatch-key-set.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>device_type Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-dispatchstub-h-device-type.html</link>
      <description>Architecture documentation for the device_type class in DispatchStub.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-dispatchstub-h-device-type.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>DispatchStub Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-dispatchstub-h-dispatchstub.html</link>
      <description>Architecture documentation for the DispatchStub class in DispatchStub.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-dispatchstub-h-dispatchstub.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>FnPtr Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-dispatchstub-h-fnptr.html</link>
      <description>Architecture documentation for the FnPtr class in DispatchStub.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-dispatchstub-h-fnptr.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>RegisterCUDADispatch Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-dispatchstub-h-registercudadispatch.html</link>
      <description>Architecture documentation for the RegisterCUDADispatch class in DispatchStub.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-dispatchstub-h-registercudadispatch.html</guid>
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      <title>RegisterHIPDispatch Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-dispatchstub-h-registerhipdispatch.html</link>
      <description>Architecture documentation for the RegisterHIPDispatch class in DispatchStub.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-dispatchstub-h-registerhipdispatch.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-dispatchstub-h-registerhpudispatch.html</link>
      <description>Architecture documentation for the RegisterHPUDispatch class in DispatchStub.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-dispatchstub-h-registerhpudispatch.html</guid>
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      <title>RegisterMPSDispatch Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-dispatchstub-h-registermpsdispatch.html</link>
      <description>Architecture documentation for the RegisterMPSDispatch class in DispatchStub.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-dispatchstub-h-registermpsdispatch.html</guid>
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      <title>RegisterMTIADispatch Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-dispatchstub-h-registermtiadispatch.html</link>
      <description>Architecture documentation for the RegisterMTIADispatch class in DispatchStub.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-dispatchstub-h-registermtiadispatch.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-dispatchstub-h-registerprivateuse1dispatch.html</link>
      <description>Architecture documentation for the RegisterPRIVATEUSE1Dispatch class in DispatchStub.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-dispatchstub-h-registerprivateuse1dispatch.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-dispatchstub-h-registerxpudispatch.html</link>
      <description>Architecture documentation for the RegisterXPUDispatch class in DispatchStub.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-dispatchstub-h-registerxpudispatch.html</guid>
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      <title>CustomLinear Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-dist-util-py-customlinear.html</link>
      <description>Architecture documentation for the CustomLinear class in dist_util.py from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-dist-util-py-customlinear.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-dist-util-py-mymodule.html</link>
      <description>Architecture documentation for the MyModule class in dist_util.py from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-dist-util-py-mymodule.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-dist-util-py-toymodel.html</link>
      <description>Architecture documentation for the ToyModel class in dist_util.py from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-dist-util-py-toymodel.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-distance-h-tensor.html</link>
      <description>Architecture documentation for the Tensor class in Distance.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-distance-h-tensor.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-distanceopskernel-cpp-backward-down-column-cdist.html</link>
      <description>Architecture documentation for the backward_down_column_cdist class in DistanceOpsKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-distanceopskernel-cpp-backward-down-column-cdist.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-distanceopskernel-cpp-backward-down-column-pdist.html</link>
      <description>Architecture documentation for the backward_down_column_pdist class in DistanceOpsKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-distanceopskernel-cpp-backward-down-column-pdist.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-distanceopskernel-cpp-diff.html</link>
      <description>Architecture documentation for the diff class in DistanceOpsKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-distanceopskernel-cpp-diff.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-distanceopskernel-cpp-run-backward-parallel-cdist.html</link>
      <description>Architecture documentation for the run_backward_parallel_cdist class in DistanceOpsKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-distanceopskernel-cpp-run-backward-parallel-cdist.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-distanceopskernel-cpp-run-backward-parallel-pdist.html</link>
      <description>Architecture documentation for the run_backward_parallel_pdist class in DistanceOpsKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-distanceopskernel-cpp-run-backward-parallel-pdist.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-distanceopskernel-cpp-run-parallel-cdist.html</link>
      <description>Architecture documentation for the run_parallel_cdist class in DistanceOpsKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-distanceopskernel-cpp-run-parallel-cdist.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-distanceopskernel-cpp-run-parallel-pdist.html</link>
      <description>Architecture documentation for the run_parallel_pdist class in DistanceOpsKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-distanceopskernel-cpp-run-parallel-pdist.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-distanceopskernel-cpp-val.html</link>
      <description>Architecture documentation for the val class in DistanceOpsKernel.cpp from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-distributions-cpp-iter.html</link>
      <description>Architecture documentation for the iter class in Distributions.cpp from the pytorch codebase.</description>
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      <description>Architecture documentation for the self class in Distributions.cpp from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-distributions-h-beta-grad-alpha-mid.html</link>
      <description>Architecture documentation for the _beta_grad_alpha_mid class in Distributions.h from the pytorch codebase.</description>
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      <description>Architecture documentation for the _beta_grad_alpha_small class in Distributions.h from the pytorch codebase.</description>
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      <title>_beta_grad_beta_small Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-distributions-h-beta-grad-beta-small.html</link>
      <description>Architecture documentation for the _beta_grad_beta_small class in Distributions.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-distributions-h-beta-grad-beta-small.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>binomial_inversion Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-distributions-h-binomial-inversion.html</link>
      <description>Architecture documentation for the binomial_inversion class in Distributions.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-distributions-h-binomial-inversion.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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    <item>
      <title>btrs Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-distributions-h-btrs.html</link>
      <description>Architecture documentation for the btrs class in Distributions.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-distributions-h-btrs.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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    <item>
      <title>digamma_one Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-distributions-h-digamma-one.html</link>
      <description>Architecture documentation for the digamma_one class in Distributions.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-distributions-h-digamma-one.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>dirichlet_grad_one Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-distributions-h-dirichlet-grad-one.html</link>
      <description>Architecture documentation for the dirichlet_grad_one class in Distributions.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-distributions-h-dirichlet-grad-one.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>sample_binomial Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-distributions-h-sample-binomial.html</link>
      <description>Architecture documentation for the sample_binomial class in Distributions.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-distributions-h-sample-binomial.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>sample_gamma Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-distributions-h-sample-gamma.html</link>
      <description>Architecture documentation for the sample_gamma class in Distributions.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-distributions-h-sample-gamma.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>sampler Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-distributions-h-sampler.html</link>
      <description>Architecture documentation for the sampler class in Distributions.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-distributions-h-sampler.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>standard_gamma_grad_one Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-distributions-h-standard-gamma-grad-one.html</link>
      <description>Architecture documentation for the standard_gamma_grad_one class in Distributions.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-distributions-h-standard-gamma-grad-one.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>stirling_approx_tail Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-distributions-h-stirling-approx-tail.html</link>
      <description>Architecture documentation for the stirling_approx_tail class in Distributions.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-distributions-h-stirling-approx-tail.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>TensorBase Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-distributions-h-tensorbase.html</link>
      <description>Architecture documentation for the TensorBase class in Distributions.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-distributions-h-tensorbase.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>bool Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-distributionshelper-h-bool.html</link>
      <description>Architecture documentation for the bool class in DistributionsHelper.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-distributionshelper-h-bool.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>DiscreteDistributionType Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-distributionshelper-h-discretedistributiontype.html</link>
      <description>Architecture documentation for the DiscreteDistributionType class in DistributionsHelper.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-distributionshelper-h-discretedistributiontype.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>from Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-distributionshelper-h-from.html</link>
      <description>Architecture documentation for the from class in DistributionsHelper.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-distributionshelper-h-from.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>lambda_in Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-distributionshelper-h-lambda-in.html</link>
      <description>Architecture documentation for the lambda_in class in DistributionsHelper.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-distributionshelper-h-lambda-in.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>mean_in Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-distributionshelper-h-mean-in.html</link>
      <description>Architecture documentation for the mean_in class in DistributionsHelper.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-distributionshelper-h-mean-in.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>median_in Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-distributionshelper-h-median-in.html</link>
      <description>Architecture documentation for the median_in class in DistributionsHelper.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-distributionshelper-h-median-in.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>next_double_normal_sample Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-distributionshelper-h-next-double-normal-sample.html</link>
      <description>Architecture documentation for the next_double_normal_sample class in DistributionsHelper.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-distributionshelper-h-next-double-normal-sample.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>next_float_normal_sample Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-distributionshelper-h-next-float-normal-sample.html</link>
      <description>Architecture documentation for the next_float_normal_sample class in DistributionsHelper.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-distributionshelper-h-next-float-normal-sample.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>p_in Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-distributionshelper-h-p-in.html</link>
      <description>Architecture documentation for the p_in class in DistributionsHelper.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-distributionshelper-h-p-in.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>range Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-distributionshelper-h-range.html</link>
      <description>Architecture documentation for the range class in DistributionsHelper.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-distributionshelper-h-range.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>set_next_double_normal_sample Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-distributionshelper-h-set-next-double-normal-sample.html</link>
      <description>Architecture documentation for the set_next_double_normal_sample class in DistributionsHelper.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-distributionshelper-h-set-next-double-normal-sample.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>set_next_float_normal_sample Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-distributionshelper-h-set-next-float-normal-sample.html</link>
      <description>Architecture documentation for the set_next_float_normal_sample class in DistributionsHelper.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-distributionshelper-h-set-next-float-normal-sample.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>void Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-distributionshelper-h-void.html</link>
      <description>Architecture documentation for the void class in DistributionsHelper.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-distributionshelper-h-void.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>bernoulli_impl_ Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-distributiontemplates-h-bernoulli-impl.html</link>
      <description>Architecture documentation for the bernoulli_impl_ class in DistributionTemplates.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-distributiontemplates-h-bernoulli-impl.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>bernoulli_kernel Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-distributiontemplates-h-bernoulli-kernel-2.html</link>
      <description>Architecture documentation for the bernoulli_kernel class in DistributionTemplates.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-distributiontemplates-h-bernoulli-kernel-2.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>bernoulli_kernel Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-distributiontemplates-h-bernoulli-kernel.html</link>
      <description>Architecture documentation for the bernoulli_kernel class in DistributionTemplates.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-distributiontemplates-h-bernoulli-kernel.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>bernoulli_out_impl Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-distributiontemplates-h-bernoulli-out-impl.html</link>
      <description>Architecture documentation for the bernoulli_out_impl class in DistributionTemplates.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-distributiontemplates-h-bernoulli-out-impl.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>bernoulli_tensor_cuda_kernel Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-distributiontemplates-h-bernoulli-tensor-cuda-kernel.html</link>
      <description>Architecture documentation for the bernoulli_tensor_cuda_kernel class in DistributionTemplates.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-distributiontemplates-h-bernoulli-tensor-cuda-kernel.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>cauchy_impl_ Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-distributiontemplates-h-cauchy-impl.html</link>
      <description>Architecture documentation for the cauchy_impl_ class in DistributionTemplates.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-distributiontemplates-h-cauchy-impl.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>cauchy_kernel Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-distributiontemplates-h-cauchy-kernel-2.html</link>
      <description>Architecture documentation for the cauchy_kernel class in DistributionTemplates.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-distributiontemplates-h-cauchy-kernel-2.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>cauchy_kernel Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-distributiontemplates-h-cauchy-kernel.html</link>
      <description>Architecture documentation for the cauchy_kernel class in DistributionTemplates.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-distributiontemplates-h-cauchy-kernel.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>distribution_binary_kernel Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-distributiontemplates-h-distribution-binary-kernel.html</link>
      <description>Architecture documentation for the distribution_binary_kernel class in DistributionTemplates.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-distributiontemplates-h-distribution-binary-kernel.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>distribution_nullary_kernel Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-distributiontemplates-h-distribution-nullary-kernel.html</link>
      <description>Architecture documentation for the distribution_nullary_kernel class in DistributionTemplates.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-distributiontemplates-h-distribution-nullary-kernel.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>exponential_impl_ Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-distributiontemplates-h-exponential-impl.html</link>
      <description>Architecture documentation for the exponential_impl_ class in DistributionTemplates.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-distributiontemplates-h-exponential-impl.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>exponential_kernel Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-distributiontemplates-h-exponential-kernel-2.html</link>
      <description>Architecture documentation for the exponential_kernel class in DistributionTemplates.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-distributiontemplates-h-exponential-kernel-2.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>exponential_kernel Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-distributiontemplates-h-exponential-kernel.html</link>
      <description>Architecture documentation for the exponential_kernel class in DistributionTemplates.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-distributiontemplates-h-exponential-kernel.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>geometric_impl_ Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-distributiontemplates-h-geometric-impl.html</link>
      <description>Architecture documentation for the geometric_impl_ class in DistributionTemplates.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-distributiontemplates-h-geometric-impl.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>geometric_kernel Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-distributiontemplates-h-geometric-kernel-2.html</link>
      <description>Architecture documentation for the geometric_kernel class in DistributionTemplates.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-distributiontemplates-h-geometric-kernel-2.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>geometric_kernel Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-distributiontemplates-h-geometric-kernel.html</link>
      <description>Architecture documentation for the geometric_kernel class in DistributionTemplates.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-distributiontemplates-h-geometric-kernel.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>iter Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-distributiontemplates-h-iter-2.html</link>
      <description>Architecture documentation for the iter class in DistributionTemplates.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-distributiontemplates-h-iter-2.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>iter Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-distributiontemplates-h-iter.html</link>
      <description>Architecture documentation for the iter class in DistributionTemplates.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-distributiontemplates-h-iter.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>log_normal_impl_ Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-distributiontemplates-h-log-normal-impl.html</link>
      <description>Architecture documentation for the log_normal_impl_ class in DistributionTemplates.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-distributiontemplates-h-log-normal-impl.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>log_normal_kernel Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-distributiontemplates-h-log-normal-kernel-2.html</link>
      <description>Architecture documentation for the log_normal_kernel class in DistributionTemplates.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-distributiontemplates-h-log-normal-kernel-2.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>log_normal_kernel Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-distributiontemplates-h-log-normal-kernel.html</link>
      <description>Architecture documentation for the log_normal_kernel class in DistributionTemplates.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-distributiontemplates-h-log-normal-kernel.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>normal_and_transform Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-distributiontemplates-h-normal-and-transform.html</link>
      <description>Architecture documentation for the normal_and_transform class in DistributionTemplates.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-distributiontemplates-h-normal-and-transform.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>normal_fill_16 Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-distributiontemplates-h-normal-fill-16.html</link>
      <description>Architecture documentation for the normal_fill_16 class in DistributionTemplates.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-distributiontemplates-h-normal-fill-16.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>normal_fill_AVX2 Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-distributiontemplates-h-normal-fill-avx2.html</link>
      <description>Architecture documentation for the normal_fill_AVX2 class in DistributionTemplates.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-distributiontemplates-h-normal-fill-avx2.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>normal_fill_VSX Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-distributiontemplates-h-normal-fill-vsx.html</link>
      <description>Architecture documentation for the normal_fill_VSX class in DistributionTemplates.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-distributiontemplates-h-normal-fill-vsx.html</guid>
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      <title>normal_fill Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-distributiontemplates-h-normal-fill.html</link>
      <description>Architecture documentation for the normal_fill class in DistributionTemplates.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-distributiontemplates-h-normal-fill.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>normal_impl Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-distributiontemplates-h-normal-impl-2.html</link>
      <description>Architecture documentation for the normal_impl class in DistributionTemplates.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-distributiontemplates-h-normal-impl-2.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>normal_impl_ Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-distributiontemplates-h-normal-impl.html</link>
      <description>Architecture documentation for the normal_impl_ class in DistributionTemplates.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-distributiontemplates-h-normal-impl.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>normal_kernel Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-distributiontemplates-h-normal-kernel-2.html</link>
      <description>Architecture documentation for the normal_kernel class in DistributionTemplates.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-distributiontemplates-h-normal-kernel-2.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>normal_kernel Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-distributiontemplates-h-normal-kernel.html</link>
      <description>Architecture documentation for the normal_kernel class in DistributionTemplates.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-distributiontemplates-h-normal-kernel.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>normal_out_impl Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-distributiontemplates-h-normal-out-impl.html</link>
      <description>Architecture documentation for the normal_out_impl class in DistributionTemplates.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-distributiontemplates-h-normal-out-impl.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>random_from_to_impl Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-distributiontemplates-h-random-from-to-impl.html</link>
      <description>Architecture documentation for the random_from_to_impl class in DistributionTemplates.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-distributiontemplates-h-random-from-to-impl.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>random_from_to_kernel Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-distributiontemplates-h-random-from-to-kernel-2.html</link>
      <description>Architecture documentation for the random_from_to_kernel class in DistributionTemplates.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-distributiontemplates-h-random-from-to-kernel-2.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>random_from_to_kernel Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-distributiontemplates-h-random-from-to-kernel.html</link>
      <description>Architecture documentation for the random_from_to_kernel class in DistributionTemplates.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-distributiontemplates-h-random-from-to-kernel.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>random_full_64_bits_range_kernel Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-distributiontemplates-h-random-full-64-bits-range-kernel-2.html</link>
      <description>Architecture documentation for the random_full_64_bits_range_kernel class in DistributionTemplates.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-distributiontemplates-h-random-full-64-bits-range-kernel-2.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>random_full_64_bits_range_kernel Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-distributiontemplates-h-random-full-64-bits-range-kernel.html</link>
      <description>Architecture documentation for the random_full_64_bits_range_kernel class in DistributionTemplates.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-distributiontemplates-h-random-full-64-bits-range-kernel.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>random_impl Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-distributiontemplates-h-random-impl.html</link>
      <description>Architecture documentation for the random_impl class in DistributionTemplates.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-distributiontemplates-h-random-impl.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>random_kernel Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-distributiontemplates-h-random-kernel-2.html</link>
      <description>Architecture documentation for the random_kernel class in DistributionTemplates.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-distributiontemplates-h-random-kernel-2.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>random_kernel Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-distributiontemplates-h-random-kernel.html</link>
      <description>Architecture documentation for the random_kernel class in DistributionTemplates.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-distributiontemplates-h-random-kernel.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>self Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-distributiontemplates-h-self-2.html</link>
      <description>Architecture documentation for the self class in DistributionTemplates.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-distributiontemplates-h-self-2.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>self Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-distributiontemplates-h-self.html</link>
      <description>Architecture documentation for the self class in DistributionTemplates.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-distributiontemplates-h-self.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>uniform_and_transform Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-distributiontemplates-h-uniform-and-transform.html</link>
      <description>Architecture documentation for the uniform_and_transform class in DistributionTemplates.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-distributiontemplates-h-uniform-and-transform.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>uniform_impl_ Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-distributiontemplates-h-uniform-impl.html</link>
      <description>Architecture documentation for the uniform_impl_ class in DistributionTemplates.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-distributiontemplates-h-uniform-impl.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>uniform_kernel Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-distributiontemplates-h-uniform-kernel-2.html</link>
      <description>Architecture documentation for the uniform_kernel class in DistributionTemplates.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-distributiontemplates-h-uniform-kernel-2.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>uniform_kernel Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-distributiontemplates-h-uniform-kernel.html</link>
      <description>Architecture documentation for the uniform_kernel class in DistributionTemplates.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-distributiontemplates-h-uniform-kernel.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>unroll_factor Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-distributiontemplates-h-unroll-factor.html</link>
      <description>Architecture documentation for the unroll_factor class in DistributionTemplates.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-distributiontemplates-h-unroll-factor.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>update_from Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-distributiontemplates-h-update-from.html</link>
      <description>Architecture documentation for the update_from class in DistributionTemplates.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-distributiontemplates-h-update-from.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>update_to Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-distributiontemplates-h-update-to.html</link>
      <description>Architecture documentation for the update_to class in DistributionTemplates.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-distributiontemplates-h-update-to.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>void Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-distributiontemplates-h-void.html</link>
      <description>Architecture documentation for the void class in DistributionTemplates.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-distributiontemplates-h-void.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>div_rtn Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-div-rtn-h-div-rtn.html</link>
      <description>Architecture documentation for the div_rtn class in div_rtn.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-div-rtn-h-div-rtn.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>deleter Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-dlconvertor-cpp-deleter.html</link>
      <description>Architecture documentation for the deleter class in DLConvertor.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-dlconvertor-cpp-deleter.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>fillVersion Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-dlconvertor-cpp-fillversion.html</link>
      <description>Architecture documentation for the fillVersion class in DLConvertor.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-dlconvertor-cpp-fillversion.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>fromDLPackImpl Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-dlconvertor-cpp-fromdlpackimpl.html</link>
      <description>Architecture documentation for the fromDLPackImpl class in DLConvertor.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-dlconvertor-cpp-fromdlpackimpl.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>toDLPackImpl Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-dlconvertor-cpp-todlpackimpl.html</link>
      <description>Architecture documentation for the toDLPackImpl class in DLConvertor.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-dlconvertor-cpp-todlpackimpl.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>toDLPack Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-dlconvertor-h-todlpack.html</link>
      <description>Architecture documentation for the toDLPack class in DLConvertor.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-dlconvertor-h-todlpack.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>toDLPackVersioned Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-dlconvertor-h-todlpackversioned.html</link>
      <description>Architecture documentation for the toDLPackVersioned class in DLConvertor.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-dlconvertor-h-todlpackversioned.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>concat Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-dnnlext-h-concat.html</link>
      <description>Architecture documentation for the concat class in DnnlExt.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-dnnlext-h-concat.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>get_strides Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-dnnlext-h-get-strides.html</link>
      <description>Architecture documentation for the get_strides class in DnnlExt.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-dnnlext-h-get-strides.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>make_tuple Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-dnnlext-h-make-tuple.html</link>
      <description>Architecture documentation for the make_tuple class in DnnlExt.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-dnnlext-h-make-tuple.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>matmul_primitive_create_and_cache Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-dnnlext-h-matmul-primitive-create-and-cache.html</link>
      <description>Architecture documentation for the matmul_primitive_create_and_cache class in DnnlExt.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-dnnlext-h-matmul-primitive-create-and-cache.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>primitive_ext Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-dnnlext-h-primitive-ext.html</link>
      <description>Architecture documentation for the primitive_ext class in DnnlExt.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-dnnlext-h-primitive-ext.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>set_attribute Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-dnnlext-h-set-attribute.html</link>
      <description>Architecture documentation for the set_attribute class in DnnlExt.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-dnnlext-h-set-attribute.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>Ts Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-dnnlext-h-ts.html</link>
      <description>Architecture documentation for the Ts class in DnnlExt.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-dnnlext-h-ts.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>Tt Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-dnnlext-h-tt.html</link>
      <description>Architecture documentation for the Tt class in DnnlExt.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-dnnlext-h-tt.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>vec Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-dnnlext-h-vec.html</link>
      <description>Architecture documentation for the vec class in DnnlExt.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-dnnlext-h-vec.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>DqMmaBase Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-dq-mma-base-h-dqmmabase.html</link>
      <description>Architecture documentation for the DqMmaBase class in dq_mma_base.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-dq-mma-base-h-dqmmabase.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>kExpansionFactor Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-dq-mma-base-h-kexpansionfactor.html</link>
      <description>Architecture documentation for the kExpansionFactor class in dq_mma_base.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-dq-mma-base-h-kexpansionfactor.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>SharedStorage Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-dq-mma-base-h-sharedstorage.html</link>
      <description>Architecture documentation for the SharedStorage class in dq_mma_base.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-dq-mma-base-h-sharedstorage.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>Stages Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-dq-mma-base-h-stages.html</link>
      <description>Architecture documentation for the Stages class in dq_mma_base.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-dq-mma-base-h-stages.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>CacheOpA Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-dq-mma-multistage-h-cacheopa.html</link>
      <description>Architecture documentation for the CacheOpA class in dq_mma_multistage.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-dq-mma-multistage-h-cacheopa.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>DqMmaMultistage Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-dq-mma-multistage-h-dqmmamultistage.html</link>
      <description>Architecture documentation for the DqMmaMultistage class in dq_mma_multistage.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-dq-mma-multistage-h-dqmmamultistage.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>DqMmaPipelined Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-dq-mma-pipelined-h-dqmmapipelined.html</link>
      <description>Architecture documentation for the DqMmaPipelined class in dq_mma_pipelined.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-dq-mma-pipelined-h-dqmmapipelined.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>kTransformA Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-dq-mma-pipelined-h-ktransforma.html</link>
      <description>Architecture documentation for the kTransformA class in dq_mma_pipelined.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-dq-mma-pipelined-h-ktransforma.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>feature_dropout Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-dropout-cpp-feature-dropout.html</link>
      <description>Architecture documentation for the feature_dropout class in Dropout.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-dropout-cpp-feature-dropout.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>inplace Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-dropout-cpp-inplace.html</link>
      <description>Architecture documentation for the inplace class in Dropout.cpp from the pytorch codebase.</description>
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      <title>DWConvMicrokernelTester Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-dwconv-microkernel-tester-h-dwconvmicrokerneltester.html</link>
      <description>Architecture documentation for the DWConvMicrokernelTester class in dwconv-microkernel-tester.h from the pytorch codebase.</description>
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      <title>auto Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-dynamic-type-h-auto.html</link>
      <description>Architecture documentation for the auto class in dynamic_type.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-dynamic-type-h-auto.html</guid>
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      <title>compareArguments Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-dynamic-type-h-comparearguments.html</link>
      <description>Architecture documentation for the compareArguments class in dynamic_type.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-dynamic-type-h-comparearguments.html</guid>
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      <title>DynamicType Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-dynamic-type-h-dynamictype.html</link>
      <description>Architecture documentation for the DynamicType class in dynamic_type.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-dynamic-type-h-dynamictype.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <link>https://repos.supermodeltools.com/pytorch/class-dynamiclayer-cpp-functorchtls.html</link>
      <description>Architecture documentation for the FuncTorchTLS class in DynamicLayer.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-dynamiclayer-cpp-functorchtls.html</guid>
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      <title>DynamicLibraryError Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-dynamiclibrary-h-dynamiclibraryerror.html</link>
      <description>Architecture documentation for the DynamicLibraryError class in DynamicLibrary.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-dynamiclibrary-h-dynamiclibraryerror.html</guid>
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      <title>Foo Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-dynamo-guard-build-py-foo.html</link>
      <description>Architecture documentation for the Foo class in dynamo_guard_build.py from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-dynamo-guard-build-py-foo.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <link>https://repos.supermodeltools.com/pytorch/class-elu-h-get-scalar-elu-elementwise-func.html</link>
      <description>Architecture documentation for the get_scalar_elu_elementwise_func class in Elu.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-elu-h-get-scalar-elu-elementwise-func.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-elu-h-get-vectorized-elu-elementwise-func.html</link>
      <description>Architecture documentation for the get_vectorized_elu_elementwise_func class in Elu.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-elu-h-get-vectorized-elu-elementwise-func.html</guid>
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      <title>is_reduced_floating_point_v Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-elu-h-is-reduced-floating-point-v.html</link>
      <description>Architecture documentation for the is_reduced_floating_point_v class in Elu.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-elu-h-is-reduced-floating-point-v.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-embeddingbag-cpp-compute-counts-uniq.html</link>
      <description>Architecture documentation for the compute_counts_uniq class in EmbeddingBag.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-embeddingbag-cpp-compute-counts-uniq.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-embeddingbag-cpp-compute-counts.html</link>
      <description>Architecture documentation for the compute_counts class in EmbeddingBag.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-embeddingbag-cpp-compute-counts.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-embeddingbag-cpp-dot-impl.html</link>
      <description>Architecture documentation for the dot_impl class in EmbeddingBag.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-embeddingbag-cpp-dot-impl.html</guid>
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      <title>embedding_bag_cpu_max_out Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-embeddingbag-cpp-embedding-bag-cpu-max-out.html</link>
      <description>Architecture documentation for the embedding_bag_cpu_max_out class in EmbeddingBag.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-embeddingbag-cpp-embedding-bag-cpu-max-out.html</guid>
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      <title>_embedding_bag_dense_backward_cpu_sum_mean Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-embeddingbag-cpp-embedding-bag-dense-backward-cpu-sum-mean.html</link>
      <description>Architecture documentation for the _embedding_bag_dense_backward_cpu_sum_mean class in EmbeddingBag.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-embeddingbag-cpp-embedding-bag-dense-backward-cpu-sum-mean.html</guid>
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      <title>_embedding_bag_per_sample_weights_backward_cpu_template Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-embeddingbag-cpp-embedding-bag-per-sample-weights-backward-cpu-template.html</link>
      <description>Architecture documentation for the _embedding_bag_per_sample_weights_backward_cpu_template class in EmbeddingBag.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-embeddingbag-cpp-embedding-bag-per-sample-weights-backward-cpu-template.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-embeddingbag-cpp-fbgemm-spmdm-report-error.html</link>
      <description>Architecture documentation for the fbgemm_spmdm_report_error_ class in EmbeddingBag.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-embeddingbag-cpp-fbgemm-spmdm-report-error.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-embeddingbag-cpp-index-select-add.html</link>
      <description>Architecture documentation for the index_select_add class in EmbeddingBag.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-embeddingbag-cpp-index-select-add.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-embeddingbag-cpp-index-select-scale-add.html</link>
      <description>Architecture documentation for the index_select_scale_add class in EmbeddingBag.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-embeddingbag-cpp-index-select-scale-add.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-embeddingbag-cpp-is-fast-path-index-select-scale.html</link>
      <description>Architecture documentation for the is_fast_path_index_select_scale class in EmbeddingBag.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-embeddingbag-cpp-is-fast-path-index-select-scale.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-embeddingbag-cpp-is-fast-path-index-select.html</link>
      <description>Architecture documentation for the is_fast_path_index_select class in EmbeddingBag.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-embeddingbag-cpp-is-fast-path-index-select.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-embeddingbag-cpp-is-fast-path.html</link>
      <description>Architecture documentation for the is_fast_path class in EmbeddingBag.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-embeddingbag-cpp-is-fast-path.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-embeddingbag-cpp-is-same-v.html</link>
      <description>Architecture documentation for the is_same_v class in EmbeddingBag.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-embeddingbag-cpp-is-same-v.html</guid>
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      <title>_EmbeddingBagKernelCacheImpl Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-embeddingbag-h-embeddingbagkernelcacheimpl.html</link>
      <description>Architecture documentation for the _EmbeddingBagKernelCacheImpl class in EmbeddingBag.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-embeddingbag-h-embeddingbagkernelcacheimpl.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-embeddingbag-h-has-weight.html</link>
      <description>Architecture documentation for the has_weight class in EmbeddingBag.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-embeddingbag-h-has-weight.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-embeddingbag-h-idx-type-t.html</link>
      <description>Architecture documentation for the idx_type_t class in EmbeddingBag.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-embeddingbag-h-idx-type-t.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-emptytensor-cpp-empty-generic.html</link>
      <description>Architecture documentation for the _empty_generic class in EmptyTensor.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-emptytensor-cpp-empty-generic.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-emptytensor-cpp-empty-strided-generic.html</link>
      <description>Architecture documentation for the _empty_strided_generic class in EmptyTensor.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-emptytensor-cpp-empty-strided-generic.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-epilogue-helpers-h-elementspervectoraccess.html</link>
      <description>Architecture documentation for the ElementsPerVectorAccess class in epilogue_helpers.h from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-epilogue-pipelined-h-advance.html</link>
      <description>Architecture documentation for the Advance class in epilogue_pipelined.h from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-epilogue-pipelined-h-epiloguepipelined.html</link>
      <description>Architecture documentation for the EpiloguePipelined class in epilogue_pipelined.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-epilogue-pipelined-h-epiloguepipelined.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-epilogue-pipelined-h-output-op.html</link>
      <description>Architecture documentation for the output_op class in epilogue_pipelined.h from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-epilogue-pipelined-h-partitionsk.html</link>
      <description>Architecture documentation for the PartitionsK class in epilogue_pipelined.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-epilogue-pipelined-h-partitionsk.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-epilogue-pipelined-h-seq.html</link>
      <description>Architecture documentation for the Seq class in epilogue_pipelined.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-epilogue-pipelined-h-seq.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-epilogue-predicated-tile-iterator-h-it.html</link>
      <description>Architecture documentation for the IT class in epilogue_predicated_tile_iterator.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-epilogue-predicated-tile-iterator-h-it.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-epilogue-predicated-tile-iterator-h-predicatedtileiteratorprefetch.html</link>
      <description>Architecture documentation for the PredicatedTileIteratorPrefetch class in epilogue_predicated_tile_iterator.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-epilogue-predicated-tile-iterator-h-predicatedtileiteratorprefetch.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-epilogue-predicated-tile-iterator-h-scatterd.html</link>
      <description>Architecture documentation for the ScatterD class in epilogue_predicated_tile_iterator.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-epilogue-predicated-tile-iterator-h-scatterd.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-epilogue-rescale-output-h-count.html</link>
      <description>Architecture documentation for the Count class in epilogue_rescale_output.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-epilogue-rescale-output-h-count.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-epilogue-rescale-output-h-memoryefficientattentionnormalize.html</link>
      <description>Architecture documentation for the MemoryEfficientAttentionNormalize class in epilogue_rescale_output.h from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-epilogue-thread-apply-logsumexp-h-applylogsumexp.html</link>
      <description>Architecture documentation for the ApplyLogSumExp class in epilogue_thread_apply_logsumexp.h from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-epilogue-thread-apply-logsumexp-h-elementsperaccess.html</link>
      <description>Architecture documentation for the ElementsPerAccess class in epilogue_thread_apply_logsumexp.h from the pytorch codebase.</description>
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      <description>Architecture documentation for the Error class in Exception.h from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-exceptions-h-cudnnerror.html</link>
      <description>Architecture documentation for the CuDNNError class in Exceptions.h from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-exceptions-h-miopen-exception.html</link>
      <description>Architecture documentation for the miopen_exception class in Exceptions.h from the pytorch codebase.</description>
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      <description>Architecture documentation for the assertIsSampleObject class in ExclusivelyOwned_test.cpp from the pytorch codebase.</description>
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      <description>Architecture documentation for the defaultConstructed class in ExclusivelyOwned_test.cpp from the pytorch codebase.</description>
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      <title>ExclusivelyOwnedTest Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-exclusivelyowned-test-cpp-exclusivelyownedtest.html</link>
      <description>Architecture documentation for the ExclusivelyOwnedTest class in ExclusivelyOwned_test.cpp from the pytorch codebase.</description>
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      <title>getSampleValue Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-exclusivelyowned-test-cpp-getsamplevalue.html</link>
      <description>Architecture documentation for the getSampleValue class in ExclusivelyOwned_test.cpp from the pytorch codebase.</description>
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      <title>SetUp Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-exclusivelyowned-test-cpp-setup.html</link>
      <description>Architecture documentation for the SetUp class in ExclusivelyOwned_test.cpp from the pytorch codebase.</description>
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      <title>infer_size_impl Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-expandutils-cpp-infer-size-impl.html</link>
      <description>Architecture documentation for the infer_size_impl class in ExpandUtils.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-expandutils-cpp-infer-size-impl.html</guid>
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      <title>inferExpandGeometryImpl Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-expandutils-cpp-inferexpandgeometryimpl.html</link>
      <description>Architecture documentation for the inferExpandGeometryImpl class in ExpandUtils.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-expandutils-cpp-inferexpandgeometryimpl.html</guid>
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      <title>InferExpandGeometryResult Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-expandutils-h-inferexpandgeometryresult.html</link>
      <description>Architecture documentation for the InferExpandGeometryResult class in ExpandUtils.h from the pytorch codebase.</description>
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      <title>_sum_to Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-expandutils-h-sum-to.html</link>
      <description>Architecture documentation for the _sum_to class in ExpandUtils.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-expandutils-h-sum-to.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>ConvertConvWeightsToChannelLastTensor Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-fbgemm-utils-cpp-convertconvweightstochannellasttensor.html</link>
      <description>Architecture documentation for the ConvertConvWeightsToChannelLastTensor class in fbgemm_utils.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-fbgemm-utils-cpp-convertconvweightstochannellasttensor.html</guid>
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      <title>CopyICFirst3dTensorToChannelsLast3dTensor Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-fbgemm-utils-cpp-copyicfirst3dtensortochannelslast3dtensor.html</link>
      <description>Architecture documentation for the CopyICFirst3dTensorToChannelsLast3dTensor class in fbgemm_utils.cpp from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-fbgemm-utils-cpp-copytochannelslast3dtensor.html</link>
      <description>Architecture documentation for the CopyToChannelsLast3dTensor class in fbgemm_utils.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-fbgemm-utils-cpp-copytochannelslast3dtensor.html</guid>
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      <title>kSpatialDim Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-fbgemm-utils-cpp-kspatialdim.html</link>
      <description>Architecture documentation for the kSpatialDim class in fbgemm_utils.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-fbgemm-utils-cpp-kspatialdim.html</guid>
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      <title>TransposeConvTensorUnpackConversion Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-fbgemm-utils-cpp-transposeconvtensorunpackconversion.html</link>
      <description>Architecture documentation for the TransposeConvTensorUnpackConversion class in fbgemm_utils.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-fbgemm-utils-cpp-transposeconvtensorunpackconversion.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-fbgemm-utils-h-kspatialdim.html</link>
      <description>Architecture documentation for the kSpatialDim class in fbgemm_utils.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-fbgemm-utils-h-kspatialdim.html</guid>
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      <title>ReluFused Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-fbgemm-utils-h-relufused.html</link>
      <description>Architecture documentation for the ReluFused class in fbgemm_utils.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-fbgemm-utils-h-relufused.html</guid>
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      <title>Scalar Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-fill-h-scalar.html</link>
      <description>Architecture documentation for the Scalar class in Fill.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-fill-h-scalar.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-fill-h-tensor.html</link>
      <description>Architecture documentation for the Tensor class in Fill.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-fill-h-tensor.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-fillkernel-cpp-fill-non-native-type.html</link>
      <description>Architecture documentation for the fill_non_native_type class in FillKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-fillkernel-cpp-fill-non-native-type.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-find-default-mma-h-kalignmenta.html</link>
      <description>Architecture documentation for the kAlignmentA class in find_default_mma.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-find-default-mma-h-kalignmenta.html</guid>
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      <title>conditional_data_ptr Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-flashattentionkernel-cpp-conditional-data-ptr.html</link>
      <description>Architecture documentation for the conditional_data_ptr class in FlashAttentionKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-flashattentionkernel-cpp-conditional-data-ptr.html</guid>
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      <title>copy_value_with_pad Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-flashattentionkernel-cpp-copy-value-with-pad.html</link>
      <description>Architecture documentation for the copy_value_with_pad class in FlashAttentionKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-flashattentionkernel-cpp-copy-value-with-pad.html</guid>
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      <title>_exp_reduce_sum_fusion_kernel Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-flashattentionkernel-cpp-exp-reduce-sum-fusion-kernel.html</link>
      <description>Architecture documentation for the _exp_reduce_sum_fusion_kernel class in FlashAttentionKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-flashattentionkernel-cpp-exp-reduce-sum-fusion-kernel.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-flashattentionkernel-cpp-fill-stub.html</link>
      <description>Architecture documentation for the fill_stub class in FlashAttentionKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-flashattentionkernel-cpp-fill-stub.html</guid>
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      <title>_mul_reduce_max_fusion_kernel Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-flashattentionkernel-cpp-mul-reduce-max-fusion-kernel.html</link>
      <description>Architecture documentation for the _mul_reduce_max_fusion_kernel class in FlashAttentionKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-flashattentionkernel-cpp-mul-reduce-max-fusion-kernel.html</guid>
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      <title>pad_remain_row_col_zero Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-flashattentionkernel-cpp-pad-remain-row-col-zero.html</link>
      <description>Architecture documentation for the pad_remain_row_col_zero class in FlashAttentionKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-flashattentionkernel-cpp-pad-remain-row-col-zero.html</guid>
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      <title>q_split_size Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-flashattentionkernel-cpp-q-split-size.html</link>
      <description>Architecture documentation for the q_split_size class in FlashAttentionKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-flashattentionkernel-cpp-q-split-size.html</guid>
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      <title>_flatten_indices Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-flattenindicescommon-h-flatten-indices.html</link>
      <description>Architecture documentation for the _flatten_indices class in FlattenIndicesCommon.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-flattenindicescommon-h-flatten-indices.html</guid>
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      <title>launch Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-flattenindicescommon-h-launch.html</link>
      <description>Architecture documentation for the launch class in FlattenIndicesCommon.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-flattenindicescommon-h-launch.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-flattenindicescommon-h-max-static-len.html</link>
      <description>Architecture documentation for the max_static_len class in FlattenIndicesCommon.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-flattenindicescommon-h-max-static-len.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-flattenindiceskernel-cpp-iter.html</link>
      <description>Architecture documentation for the iter class in FlattenIndicesKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-flattenindiceskernel-cpp-iter.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-fpa-intb-gemm-h-splitkserial.html</link>
      <description>Architecture documentation for the SplitKSerial class in fpA_intB_gemm.h from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-fpa-intb-gemm-h-void.html</link>
      <description>Architecture documentation for the void class in fpA_intB_gemm.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-fpa-intb-gemm-h-void.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-fractionalmaxpool2d-cpp-fractional-max-pool2d-backward-out-frame.html</link>
      <description>Architecture documentation for the fractional_max_pool2d_backward_out_frame class in FractionalMaxPool2d.cpp from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-fractionalmaxpool2d-cpp-fractional-max-pool2d-backward-out-single-batch-frame.html</link>
      <description>Architecture documentation for the fractional_max_pool2d_backward_out_single_batch_frame class in FractionalMaxPool2d.cpp from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-fractionalmaxpool2d-cpp-fractional-max-pool2d-out-frame.html</link>
      <description>Architecture documentation for the fractional_max_pool2d_out_frame class in FractionalMaxPool2d.cpp from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-fractionalmaxpool2d-cpp-fractional-max-pool2d-out-single-batch-frame.html</link>
      <description>Architecture documentation for the fractional_max_pool2d_out_single_batch_frame class in FractionalMaxPool2d.cpp from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-fractionalmaxpool3d-cpp-fractional-max-pool3d-backward-out-frame.html</link>
      <description>Architecture documentation for the fractional_max_pool3d_backward_out_frame class in FractionalMaxPool3d.cpp from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-fractionalmaxpool3d-cpp-fractional-max-pool3d-backward-out-single-batch-frame.html</link>
      <description>Architecture documentation for the fractional_max_pool3d_backward_out_single_batch_frame class in FractionalMaxPool3d.cpp from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-fractionalmaxpool3d-cpp-fractional-max-pool3d-out-frame.html</link>
      <description>Architecture documentation for the fractional_max_pool3d_out_frame class in FractionalMaxPool3d.cpp from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-fractionalmaxpool3d-cpp-fractional-max-pool3d-out-single-batch-frame.html</link>
      <description>Architecture documentation for the fractional_max_pool3d_out_single_batch_frame class in FractionalMaxPool3d.cpp from the pytorch codebase.</description>
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      <description>Architecture documentation for the generate_intervals class in FractionalMaxPooling.h from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-fractionalmaxpooling-h-ndim.html</link>
      <description>Architecture documentation for the ndim class in FractionalMaxPooling.h from the pytorch codebase.</description>
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      <description>Architecture documentation for the FullyConnectedOperatorTester class in fully-connected-operator-tester.h from the pytorch codebase.</description>
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      <description>Architecture documentation for the FullyConnectedSparseOperatorTester class in fully-connected-sparse-operator-tester.h from the pytorch codebase.</description>
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      <title>arg Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-function-schema-h-arg.html</link>
      <description>Architecture documentation for the arg class in function_schema.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-function-schema-h-arg.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>checkAndNormalizeInputs Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-function-schema-h-checkandnormalizeinputs.html</link>
      <description>Architecture documentation for the checkAndNormalizeInputs class in function_schema.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-function-schema-h-checkandnormalizeinputs.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>checkArg Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-function-schema-h-checkarg.html</link>
      <description>Architecture documentation for the checkArg class in function_schema.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-function-schema-h-checkarg.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>schema Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-function-schema-h-schema.html</link>
      <description>Architecture documentation for the schema class in function_schema.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-function-schema-h-schema.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>checkAndNormalizeInputs Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-function-schema-inl-h-checkandnormalizeinputs.html</link>
      <description>Architecture documentation for the checkAndNormalizeInputs class in function_schema_inl.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-function-schema-inl-h-checkandnormalizeinputs.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>checkArg Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-function-schema-inl-h-checkarg.html</link>
      <description>Architecture documentation for the checkArg class in function_schema_inl.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-function-schema-inl-h-checkarg.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>is_reduced_floating_point_v Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-functional-base-h-is-reduced-floating-point-v.html</link>
      <description>Architecture documentation for the is_reduced_floating_point_v class in functional_base.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-functional-base-h-is-reduced-floating-point-v.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>should_prefer_converting_through_float_v Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-functional-base-h-should-prefer-converting-through-float-v.html</link>
      <description>Architecture documentation for the should_prefer_converting_through_float_v class in functional_base.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-functional-base-h-should-prefer-converting-through-float-v.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>vec_fun Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-functional-base-h-vec-fun.html</link>
      <description>Architecture documentation for the vec_fun class in functional_base.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-functional-base-h-vec-fun.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>vec_reduce_all Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-functional-base-h-vec-reduce-all.html</link>
      <description>Architecture documentation for the vec_reduce_all class in functional_base.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-functional-base-h-vec-reduce-all.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>convert_from_float Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-functional-bfloat16-h-convert-from-float.html</link>
      <description>Architecture documentation for the convert_from_float class in functional_bfloat16.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-functional-bfloat16-h-convert-from-float.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>convert_to_float Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-functional-bfloat16-h-convert-to-float.html</link>
      <description>Architecture documentation for the convert_to_float class in functional_bfloat16.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-functional-bfloat16-h-convert-to-float.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>load_to_float Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-functional-bfloat16-h-load-to-float.html</link>
      <description>Architecture documentation for the load_to_float class in functional_bfloat16.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-functional-bfloat16-h-load-to-float.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>map_reduce_all Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-functional-bfloat16-h-map-reduce-all.html</link>
      <description>Architecture documentation for the map_reduce_all class in functional_bfloat16.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-functional-bfloat16-h-map-reduce-all.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>map Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-functional-bfloat16-h-map.html</link>
      <description>Architecture documentation for the map class in functional_bfloat16.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-functional-bfloat16-h-map.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>map2_reduce_all Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-functional-bfloat16-h-map2-reduce-all.html</link>
      <description>Architecture documentation for the map2_reduce_all class in functional_bfloat16.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-functional-bfloat16-h-map2-reduce-all.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>map3_reduce_all Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-functional-bfloat16-h-map3-reduce-all.html</link>
      <description>Architecture documentation for the map3_reduce_all class in functional_bfloat16.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-functional-bfloat16-h-map3-reduce-all.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>reduce_all Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-functional-bfloat16-h-reduce-all.html</link>
      <description>Architecture documentation for the reduce_all class in functional_bfloat16.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-functional-bfloat16-h-reduce-all.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>reduce2_all Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-functional-bfloat16-h-reduce2-all.html</link>
      <description>Architecture documentation for the reduce2_all class in functional_bfloat16.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-functional-bfloat16-h-reduce2-all.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>scalar_t Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-functional-bfloat16-h-scalar-t.html</link>
      <description>Architecture documentation for the scalar_t class in functional_bfloat16.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-functional-bfloat16-h-scalar-t.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>should_prefer_converting_through_float_v Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-functional-bfloat16-h-should-prefer-converting-through-float-v.html</link>
      <description>Architecture documentation for the should_prefer_converting_through_float_v class in functional_bfloat16.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-functional-bfloat16-h-should-prefer-converting-through-float-v.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>VecScalarType Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-functional-bfloat16-h-vecscalartype.html</link>
      <description>Architecture documentation for the VecScalarType class in functional_bfloat16.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-functional-bfloat16-h-vecscalartype.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>filter Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-functional-h-filter.html</link>
      <description>Architecture documentation for the filter class in functional.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-functional-h-filter.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>fmap Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-functional-h-fmap.html</link>
      <description>Architecture documentation for the fmap class in functional.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-functional-h-fmap.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>isFunctionalTensorIListRef Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-functionaltensorwrapper-cpp-isfunctionaltensorilistref.html</link>
      <description>Architecture documentation for the isFunctionalTensorIListRef class in FunctionalTensorWrapper.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-functionaltensorwrapper-cpp-isfunctionaltensorilistref.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>shallow_copy_and_detach_core Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-functionaltensorwrapper-cpp-shallow-copy-and-detach-core.html</link>
      <description>Architecture documentation for the shallow_copy_and_detach_core class in FunctionalTensorWrapper.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-functionaltensorwrapper-cpp-shallow-copy-and-detach-core.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>Op Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-functionaltensorwrapper-h-op.html</link>
      <description>Architecture documentation for the Op class in FunctionalTensorWrapper.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-functionaltensorwrapper-h-op.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>shallow_copy_and_detach_core Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-functionaltensorwrapper-h-shallow-copy-and-detach-core.html</link>
      <description>Architecture documentation for the shallow_copy_and_detach_core class in FunctionalTensorWrapper.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-functionaltensorwrapper-h-shallow-copy-and-detach-core.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>symint Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-functionaltensorwrapper-h-symint.html</link>
      <description>Architecture documentation for the symint class in FunctionalTensorWrapper.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-functionaltensorwrapper-h-symint.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>TORCH_API Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-functionaltensorwrapper-h-torch-api.html</link>
      <description>Architecture documentation for the TORCH_API class in FunctionalTensorWrapper.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-functionaltensorwrapper-h-torch-api.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>arity Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-functiontraits-h-arity.html</link>
      <description>Architecture documentation for the arity class in FunctionTraits.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-functiontraits-h-arity.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>ReturnType Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-functiontraits-h-returntype.html</link>
      <description>Architecture documentation for the ReturnType class in FunctionTraits.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-functiontraits-h-returntype.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>adagrad_fused_step_impl Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-fusedadagradkernel-cpp-adagrad-fused-step-impl.html</link>
      <description>Architecture documentation for the adagrad_fused_step_impl class in FusedAdagradKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-fusedadagradkernel-cpp-adagrad-fused-step-impl.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>is_same_v Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-fusedadagradkernel-cpp-is-same-v.html</link>
      <description>Architecture documentation for the is_same_v class in FusedAdagradKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-fusedadagradkernel-cpp-is-same-v.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>adam_mode Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-fusedadamkernel-cpp-adam-mode.html</link>
      <description>Architecture documentation for the adam_mode class in FusedAdamKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-fusedadamkernel-cpp-adam-mode.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>is_same_v Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-fusedsgdkernel-cpp-is-same-v.html</link>
      <description>Architecture documentation for the is_same_v class in FusedSGDKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-fusedsgdkernel-cpp-is-same-v.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>sgd_fused_step_impl Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-fusedsgdkernel-cpp-sgd-fused-step-impl.html</link>
      <description>Architecture documentation for the sgd_fused_step_impl class in FusedSGDKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-fusedsgdkernel-cpp-sgd-fused-step-impl.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>is_matmul Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-fusionutils-h-is-matmul.html</link>
      <description>Architecture documentation for the is_matmul class in FusionUtils.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-fusionutils-h-is-matmul.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>GAvgPoolMicrokernelTester Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-gavgpool-microkernel-tester-h-gavgpoolmicrokerneltester.html</link>
      <description>Architecture documentation for the GAvgPoolMicrokernelTester class in gavgpool-microkernel-tester.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-gavgpool-microkernel-tester-h-gavgpoolmicrokerneltester.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>is_reduced_floating_point_v Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-gelu-h-is-reduced-floating-point-v.html</link>
      <description>Architecture documentation for the is_reduced_floating_point_v class in Gelu.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-gelu-h-is-reduced-floating-point-v.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>reduced_fp_to_float Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-gelu-h-reduced-fp-to-float.html</link>
      <description>Architecture documentation for the reduced_fp_to_float class in Gelu.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-gelu-h-reduced-fp-to-float.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>scalar_gelu_approximated_with_tanh Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-gelu-h-scalar-gelu-approximated-with-tanh.html</link>
      <description>Architecture documentation for the scalar_gelu_approximated_with_tanh class in Gelu.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-gelu-h-scalar-gelu-approximated-with-tanh.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>scalar_gelu Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-gelu-h-scalar-gelu.html</link>
      <description>Architecture documentation for the scalar_gelu class in Gelu.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-gelu-h-scalar-gelu.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>vectorized_gelu_approximated_with_tanh Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-gelu-h-vectorized-gelu-approximated-with-tanh.html</link>
      <description>Architecture documentation for the vectorized_gelu_approximated_with_tanh class in Gelu.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-gelu-h-vectorized-gelu-approximated-with-tanh.html</guid>
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      <title>vectorized_gelu Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-gelu-h-vectorized-gelu.html</link>
      <description>Architecture documentation for the vectorized_gelu class in Gelu.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-gelu-h-vectorized-gelu.html</guid>
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      <title>GemmBlockSparseMicrokernelTester Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-gemm-block-sparse-microkernel-tester-h-gemmblocksparsemicrokerneltester.html</link>
      <description>Architecture documentation for the GemmBlockSparseMicrokernelTester class in gemm-block-sparse-microkernel-tester.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-gemm-block-sparse-microkernel-tester-h-gemmblocksparsemicrokerneltester.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-gemm-block-sparse-microkernel-tester-h-test-packed.html</link>
      <description>Architecture documentation for the test_packed class in gemm-block-sparse-microkernel-tester.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-gemm-block-sparse-microkernel-tester-h-test-packed.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>align_up Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-gemm-kernel-utils-h-align-up.html</link>
      <description>Architecture documentation for the align_up class in gemm_kernel_utils.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-gemm-kernel-utils-h-align-up.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>apply Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-gemm-kernel-utils-h-apply.html</link>
      <description>Architecture documentation for the apply class in gemm_kernel_utils.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-gemm-kernel-utils-h-apply.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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    <item>
      <title>ArchTag Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-gemm-kernel-utils-h-archtag.html</link>
      <description>Architecture documentation for the ArchTag class in gemm_kernel_utils.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-gemm-kernel-utils-h-archtag.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>ceil_div Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-gemm-kernel-utils-h-ceil-div.html</link>
      <description>Architecture documentation for the ceil_div class in gemm_kernel_utils.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-gemm-kernel-utils-h-ceil-div.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>DefaultGemmType Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-gemm-kernel-utils-h-defaultgemmtype.html</link>
      <description>Architecture documentation for the DefaultGemmType class in gemm_kernel_utils.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-gemm-kernel-utils-h-defaultgemmtype.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>kVal Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-gemm-kernel-utils-h-kval.html</link>
      <description>Architecture documentation for the kVal class in gemm_kernel_utils.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-gemm-kernel-utils-h-kval.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>value Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-gemm-kernel-utils-h-value.html</link>
      <description>Architecture documentation for the value class in gemm_kernel_utils.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-gemm-kernel-utils-h-value.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>GemmMicrokernelTester Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-gemm-microkernel-tester-h-gemmmicrokerneltester.html</link>
      <description>Architecture documentation for the GemmMicrokernelTester class in gemm-microkernel-tester.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-gemm-microkernel-tester-h-gemmmicrokerneltester.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>BLASTypeName Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-gemmcommon-h-blastypename.html</link>
      <description>Architecture documentation for the BLASTypeName class in GemmCommon.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-gemmcommon-h-blastypename.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>ComputeTypeFor Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-gemmcommon-h-computetypefor.html</link>
      <description>Architecture documentation for the ComputeTypeFor class in GemmCommon.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-gemmcommon-h-computetypefor.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>GemmAndBiasParams Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-gemmcommon-h-gemmandbiasparams.html</link>
      <description>Architecture documentation for the GemmAndBiasParams class in GemmCommon.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-gemmcommon-h-gemmandbiasparams.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>GemmParams Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-gemmcommon-h-gemmparams.html</link>
      <description>Architecture documentation for the GemmParams class in GemmCommon.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-gemmcommon-h-gemmparams.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>GemmStridedBatchedParams Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-gemmcommon-h-gemmstridedbatchedparams.html</link>
      <description>Architecture documentation for the GemmStridedBatchedParams class in GemmCommon.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-gemmcommon-h-gemmstridedbatchedparams.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>ScaledGemmParams Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-gemmcommon-h-scaledgemmparams.html</link>
      <description>Architecture documentation for the ScaledGemmParams class in GemmCommon.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-gemmcommon-h-scaledgemmparams.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>to_string_opmath Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-gemmcommon-h-to-string-opmath.html</link>
      <description>Architecture documentation for the to_string_opmath class in GemmCommon.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-gemmcommon-h-to-string-opmath.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>ALayout Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-gemmhipblaslt-h-alayout.html</link>
      <description>Architecture documentation for the ALayout class in GemmHipblaslt.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-gemmhipblaslt-h-alayout.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>destructor Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-gemmhipblaslt-h-destructor.html</link>
      <description>Architecture documentation for the destructor class in GemmHipblaslt.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-gemmhipblaslt-h-destructor.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>GetActivationFromParams Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-gemmhipblaslt-h-getactivationfromparams.html</link>
      <description>Architecture documentation for the GetActivationFromParams class in GemmHipblaslt.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-gemmhipblaslt-h-getactivationfromparams.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>GetAlphaFromParams Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-gemmhipblaslt-h-getalphafromparams.html</link>
      <description>Architecture documentation for the GetAlphaFromParams class in GemmHipblaslt.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-gemmhipblaslt-h-getalphafromparams.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>GetAScalePointerFromParams Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-gemmhipblaslt-h-getascalepointerfromparams.html</link>
      <description>Architecture documentation for the GetAScalePointerFromParams class in GemmHipblaslt.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-gemmhipblaslt-h-getascalepointerfromparams.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>GetAScalingTypeFromParams Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-gemmhipblaslt-h-getascalingtypefromparams.html</link>
      <description>Architecture documentation for the GetAScalingTypeFromParams class in GemmHipblaslt.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-gemmhipblaslt-h-getascalingtypefromparams.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>GetBatchFromParams Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-gemmhipblaslt-h-getbatchfromparams.html</link>
      <description>Architecture documentation for the GetBatchFromParams class in GemmHipblaslt.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-gemmhipblaslt-h-getbatchfromparams.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>GetBetaFromParams Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-gemmhipblaslt-h-getbetafromparams.html</link>
      <description>Architecture documentation for the GetBetaFromParams class in GemmHipblaslt.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-gemmhipblaslt-h-getbetafromparams.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>GetBiasPointerFromParams Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-gemmhipblaslt-h-getbiaspointerfromparams.html</link>
      <description>Architecture documentation for the GetBiasPointerFromParams class in GemmHipblaslt.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-gemmhipblaslt-h-getbiaspointerfromparams.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>GetBiasTypeFromParams Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-gemmhipblaslt-h-getbiastypefromparams.html</link>
      <description>Architecture documentation for the GetBiasTypeFromParams class in GemmHipblaslt.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-gemmhipblaslt-h-getbiastypefromparams.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>GetBScalePointerFromParams Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-gemmhipblaslt-h-getbscalepointerfromparams.html</link>
      <description>Architecture documentation for the GetBScalePointerFromParams class in GemmHipblaslt.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-gemmhipblaslt-h-getbscalepointerfromparams.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>GetBScalingTypeFromParams Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-gemmhipblaslt-h-getbscalingtypefromparams.html</link>
      <description>Architecture documentation for the GetBScalingTypeFromParams class in GemmHipblaslt.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-gemmhipblaslt-h-getbscalingtypefromparams.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>GetDScalePointerFromParams Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-gemmhipblaslt-h-getdscalepointerfromparams.html</link>
      <description>Architecture documentation for the GetDScalePointerFromParams class in GemmHipblaslt.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-gemmhipblaslt-h-getdscalepointerfromparams.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>GetStrideAFromParams Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-gemmhipblaslt-h-getstrideafromparams.html</link>
      <description>Architecture documentation for the GetStrideAFromParams class in GemmHipblaslt.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-gemmhipblaslt-h-getstrideafromparams.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>GetStrideBFromParams Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-gemmhipblaslt-h-getstridebfromparams.html</link>
      <description>Architecture documentation for the GetStrideBFromParams class in GemmHipblaslt.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-gemmhipblaslt-h-getstridebfromparams.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>GetStrideCFromParams Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-gemmhipblaslt-h-getstridecfromparams.html</link>
      <description>Architecture documentation for the GetStrideCFromParams class in GemmHipblaslt.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-gemmhipblaslt-h-getstridecfromparams.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>HipBlasLtDescriptor Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-gemmhipblaslt-h-hipblasltdescriptor.html</link>
      <description>Architecture documentation for the HipBlasLtDescriptor class in GemmHipblaslt.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-gemmhipblaslt-h-hipblasltdescriptor.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>HipblasltGemmOp Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-gemmhipblaslt-h-hipblasltgemmop.html</link>
      <description>Architecture documentation for the HipblasltGemmOp class in GemmHipblaslt.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-gemmhipblaslt-h-hipblasltgemmop.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>HipBlasLtMatmulDescriptor Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-gemmhipblaslt-h-hipblasltmatmuldescriptor.html</link>
      <description>Architecture documentation for the HipBlasLtMatmulDescriptor class in GemmHipblaslt.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-gemmhipblaslt-h-hipblasltmatmuldescriptor.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>HipDataTypeFor Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-gemmhipblaslt-h-hipdatatypefor.html</link>
      <description>Architecture documentation for the HipDataTypeFor class in GemmHipblaslt.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-gemmhipblaslt-h-hipdatatypefor.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>setAttribute Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-gemmhipblaslt-h-setattribute.html</link>
      <description>Architecture documentation for the setAttribute class in GemmHipblaslt.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-gemmhipblaslt-h-setattribute.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>DoCastForHalfOrBfloat16 Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-gemmrocblas-h-docastforhalforbfloat16.html</link>
      <description>Architecture documentation for the DoCastForHalfOrBfloat16 class in GemmRocblas.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-gemmrocblas-h-docastforhalforbfloat16.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>GetRocBlasGemmStridedBatchedTypeStringAndOps Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-gemmrocblas-h-getrocblasgemmstridedbatchedtypestringandops.html</link>
      <description>Architecture documentation for the GetRocBlasGemmStridedBatchedTypeStringAndOps class in GemmRocblas.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-gemmrocblas-h-getrocblasgemmstridedbatchedtypestringandops.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>GetRocBlasGemmTypeStringAndOps Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-gemmrocblas-h-getrocblasgemmtypestringandops.html</link>
      <description>Architecture documentation for the GetRocBlasGemmTypeStringAndOps class in GemmRocblas.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-gemmrocblas-h-getrocblasgemmtypestringandops.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>RocBlasComputeTypeFor Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-gemmrocblas-h-rocblascomputetypefor.html</link>
      <description>Architecture documentation for the RocBlasComputeTypeFor class in GemmRocblas.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-gemmrocblas-h-rocblascomputetypefor.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>RocBlasDataTypeFor Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-gemmrocblas-h-rocblasdatatypefor.html</link>
      <description>Architecture documentation for the RocBlasDataTypeFor class in GemmRocblas.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-gemmrocblas-h-rocblasdatatypefor.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>RocblasGemmOp Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-gemmrocblas-h-rocblasgemmop.html</link>
      <description>Architecture documentation for the RocblasGemmOp class in GemmRocblas.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-gemmrocblas-h-rocblasgemmop.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>RocblasGemmStridedBatchedOp Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-gemmrocblas-h-rocblasgemmstridedbatchedop.html</link>
      <description>Architecture documentation for the RocblasGemmStridedBatchedOp class in GemmRocblas.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-gemmrocblas-h-rocblasgemmstridedbatchedop.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>BwdKernel Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-generate-kernels-py-bwdkernel.html</link>
      <description>Architecture documentation for the BwdKernel class in generate_kernels.py from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-generate-kernels-py-bwdkernel.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>FwdKernel Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-generate-kernels-py-fwdkernel.html</link>
      <description>Architecture documentation for the FwdKernel class in generate_kernels.py from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-generate-kernels-py-fwdkernel.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>Test Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-generate-test-torchscripts-py-test.html</link>
      <description>Architecture documentation for the Test class in generate_test_torchscripts.py from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-generate-test-torchscripts-py-test.html</guid>
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      <title>check_generator Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-generator-h-check-generator.html</link>
      <description>Architecture documentation for the check_generator class in Generator.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-generator-h-check-generator.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>get_generator_or_default Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-generator-h-get-generator-or-default.html</link>
      <description>Architecture documentation for the get_generator_or_default class in Generator.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-generator-h-get-generator-or-default.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>get Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-generator-h-get.html</link>
      <description>Architecture documentation for the get class in Generator.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-generator-h-get.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>make_generator Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-generator-h-make-generator.html</link>
      <description>Architecture documentation for the make_generator class in Generator.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-generator-h-make-generator.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>Tensor Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-generator-h-tensor.html</link>
      <description>Architecture documentation for the Tensor class in Generator.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-generator-h-tensor.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>TORCH_API Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-generatorforprivateuseone-h-torch-api.html</link>
      <description>Architecture documentation for the TORCH_API class in GeneratorForPrivateuseone.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-generatorforprivateuseone-h-torch-api.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>GlobalAveragePoolingOperatorTester Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-global-average-pooling-operator-tester-h-globalaveragepoolingoperatortester.html</link>
      <description>Architecture documentation for the GlobalAveragePoolingOperatorTester class in global-average-pooling-operator-tester.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-global-average-pooling-operator-tester-h-globalaveragepoolingoperatortester.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>grid_sampler_3d_backward_cpu_impl Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-gridsampler-cpp-grid-sampler-3d-backward-cpu-impl.html</link>
      <description>Architecture documentation for the grid_sampler_3d_backward_cpu_impl class in GridSampler.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-gridsampler-cpp-grid-sampler-3d-backward-cpu-impl.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>grid_sampler_3d_cpu_impl Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-gridsampler-cpp-grid-sampler-3d-cpu-impl.html</link>
      <description>Architecture documentation for the grid_sampler_3d_cpu_impl class in GridSampler.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-gridsampler-cpp-grid-sampler-3d-cpu-impl.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>add_value_bounded Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-gridsampler-h-add-value-bounded.html</link>
      <description>Architecture documentation for the add_value_bounded class in GridSampler.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-gridsampler-h-add-value-bounded.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>clip_coordinates_set_grad Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-gridsampler-h-clip-coordinates-set-grad.html</link>
      <description>Architecture documentation for the clip_coordinates_set_grad class in GridSampler.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-gridsampler-h-clip-coordinates-set-grad.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>clip_coordinates Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-gridsampler-h-clip-coordinates.html</link>
      <description>Architecture documentation for the clip_coordinates class in GridSampler.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-gridsampler-h-clip-coordinates.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>compute_coordinates Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-gridsampler-h-compute-coordinates.html</link>
      <description>Architecture documentation for the compute_coordinates class in GridSampler.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-gridsampler-h-compute-coordinates.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>get_cubic_coefficients_grad Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-gridsampler-h-get-cubic-coefficients-grad.html</link>
      <description>Architecture documentation for the get_cubic_coefficients_grad class in GridSampler.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-gridsampler-h-get-cubic-coefficients-grad.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>get_value_bounded Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-gridsampler-h-get-value-bounded.html</link>
      <description>Architecture documentation for the get_value_bounded class in GridSampler.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-gridsampler-h-get-value-bounded.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>grid_sampler_compute_source_index_set_grad Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-gridsampler-h-grid-sampler-compute-source-index-set-grad.html</link>
      <description>Architecture documentation for the grid_sampler_compute_source_index_set_grad class in GridSampler.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-gridsampler-h-grid-sampler-compute-source-index-set-grad.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>grid_sampler_compute_source_index Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-gridsampler-h-grid-sampler-compute-source-index.html</link>
      <description>Architecture documentation for the grid_sampler_compute_source_index class in GridSampler.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-gridsampler-h-grid-sampler-compute-source-index.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>grid_sampler_unnormalize_set_grad Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-gridsampler-h-grid-sampler-unnormalize-set-grad.html</link>
      <description>Architecture documentation for the grid_sampler_unnormalize_set_grad class in GridSampler.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-gridsampler-h-grid-sampler-unnormalize-set-grad.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>grid_sampler_unnormalize Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-gridsampler-h-grid-sampler-unnormalize.html</link>
      <description>Architecture documentation for the grid_sampler_unnormalize class in GridSampler.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-gridsampler-h-grid-sampler-unnormalize.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>reflect_coordinates_set_grad Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-gridsampler-h-reflect-coordinates-set-grad.html</link>
      <description>Architecture documentation for the reflect_coordinates_set_grad class in GridSampler.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-gridsampler-h-reflect-coordinates-set-grad.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>reflect_coordinates Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-gridsampler-h-reflect-coordinates.html</link>
      <description>Architecture documentation for the reflect_coordinates class in GridSampler.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-gridsampler-h-reflect-coordinates.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>safe_add_2d Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-gridsampler-h-safe-add-2d.html</link>
      <description>Architecture documentation for the safe_add_2d class in GridSampler.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-gridsampler-h-safe-add-2d.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>safe_add_3d Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-gridsampler-h-safe-add-3d.html</link>
      <description>Architecture documentation for the safe_add_3d class in GridSampler.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-gridsampler-h-safe-add-3d.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>TensorBase Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-gridsampler-h-tensorbase.html</link>
      <description>Architecture documentation for the TensorBase class in GridSampler.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-gridsampler-h-tensorbase.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>align_corners Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-gridsamplerkernel-cpp-align-corners.html</link>
      <description>Architecture documentation for the align_corners class in GridSamplerKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-gridsamplerkernel-cpp-align-corners.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>ComputeLocationBase Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-gridsamplerkernel-cpp-computelocationbase.html</link>
      <description>Architecture documentation for the ComputeLocationBase class in GridSamplerKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-gridsamplerkernel-cpp-computelocationbase.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>grid_sample_2d_grid_slice_iterator Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-gridsamplerkernel-cpp-grid-sample-2d-grid-slice-iterator.html</link>
      <description>Architecture documentation for the grid_sample_2d_grid_slice_iterator class in GridSamplerKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-gridsamplerkernel-cpp-grid-sample-2d-grid-slice-iterator.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>input_requires_grad Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-gridsamplerkernel-cpp-input-requires-grad.html</link>
      <description>Architecture documentation for the input_requires_grad class in GridSamplerKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-gridsamplerkernel-cpp-input-requires-grad.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>mask_scatter_add Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-gridsamplerkernel-cpp-mask-scatter-add.html</link>
      <description>Architecture documentation for the mask_scatter_add class in GridSamplerKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-gridsamplerkernel-cpp-mask-scatter-add.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>padding Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-gridsamplerkernel-cpp-padding.html</link>
      <description>Architecture documentation for the padding class in GridSamplerKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-gridsamplerkernel-cpp-padding.html</guid>
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      <title>spatial_dim Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-gridsamplerkernel-cpp-spatial-dim.html</link>
      <description>Architecture documentation for the spatial_dim class in GridSamplerKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-gridsamplerkernel-cpp-spatial-dim.html</guid>
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      <title>TensorBase Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-gridsamplerkernel-h-tensorbase.html</link>
      <description>Architecture documentation for the TensorBase class in GridSamplerKernel.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-gridsamplerkernel-h-tensorbase.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>check_group_norm_inputs Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-group-norm-cpp-check-group-norm-inputs.html</link>
      <description>Architecture documentation for the check_group_norm_inputs class in group_norm.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-group-norm-cpp-check-group-norm-inputs.html</guid>
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      <title>Tensor Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-group-norm-h-tensor.html</link>
      <description>Architecture documentation for the Tensor class in group_norm.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-group-norm-h-tensor.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>ApplyInputGradientsChannelsLastColMov Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-group-norm-kernel-cpp-applyinputgradientschannelslastcolmov.html</link>
      <description>Architecture documentation for the ApplyInputGradientsChannelsLastColMov class in group_norm_kernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-group-norm-kernel-cpp-applyinputgradientschannelslastcolmov.html</guid>
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      <title>ApplyInputGradientsChannelsLastRowMov Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-group-norm-kernel-cpp-applyinputgradientschannelslastrowmov.html</link>
      <description>Architecture documentation for the ApplyInputGradientsChannelsLastRowMov class in group_norm_kernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-group-norm-kernel-cpp-applyinputgradientschannelslastrowmov.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>ApplyScaleBias Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-group-norm-kernel-cpp-applyscalebias.html</link>
      <description>Architecture documentation for the ApplyScaleBias class in group_norm_kernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-group-norm-kernel-cpp-applyscalebias.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <link>https://repos.supermodeltools.com/pytorch/class-group-norm-kernel-cpp-betabackward.html</link>
      <description>Architecture documentation for the BetaBackward class in group_norm_kernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-group-norm-kernel-cpp-betabackward.html</guid>
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      <title>CalcDsDb Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-group-norm-kernel-cpp-calcdsdb.html</link>
      <description>Architecture documentation for the CalcDsDb class in group_norm_kernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-group-norm-kernel-cpp-calcdsdb.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-group-norm-kernel-cpp-calcinternalgradientschannelslast.html</link>
      <description>Architecture documentation for the CalcInternalGradientsChannelsLast class in group_norm_kernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-group-norm-kernel-cpp-calcinternalgradientschannelslast.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-group-norm-kernel-cpp-calcmeanvar.html</link>
      <description>Architecture documentation for the CalcMeanVar class in group_norm_kernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-group-norm-kernel-cpp-calcmeanvar.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-group-norm-kernel-cpp-computeinternalgradients.html</link>
      <description>Architecture documentation for the ComputeInternalGradients class in group_norm_kernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-group-norm-kernel-cpp-computeinternalgradients.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-group-norm-kernel-cpp-dsdbrowwisemomentschannelslast.html</link>
      <description>Architecture documentation for the DsDbRowwiseMomentsChannelsLast class in group_norm_kernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-group-norm-kernel-cpp-dsdbrowwisemomentschannelslast.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-group-norm-kernel-cpp-gammabackward.html</link>
      <description>Architecture documentation for the GammaBackward class in group_norm_kernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-group-norm-kernel-cpp-gammabackward.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-group-norm-kernel-cpp-groupnormbackwardkernelimplchannelslastinternal.html</link>
      <description>Architecture documentation for the GroupNormBackwardKernelImplChannelsLastInternal class in group_norm_kernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-group-norm-kernel-cpp-groupnormbackwardkernelimplchannelslastinternal.html</guid>
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      <title>GroupNormBackwardKernelImplInternal Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-group-norm-kernel-cpp-groupnormbackwardkernelimplinternal.html</link>
      <description>Architecture documentation for the GroupNormBackwardKernelImplInternal class in group_norm_kernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-group-norm-kernel-cpp-groupnormbackwardkernelimplinternal.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>GroupNormInputBackward Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-group-norm-kernel-cpp-groupnorminputbackward.html</link>
      <description>Architecture documentation for the GroupNormInputBackward class in group_norm_kernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-group-norm-kernel-cpp-groupnorminputbackward.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>GroupNormKernelImplChannelsLastInternal Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-group-norm-kernel-cpp-groupnormkernelimplchannelslastinternal.html</link>
      <description>Architecture documentation for the GroupNormKernelImplChannelsLastInternal class in group_norm_kernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-group-norm-kernel-cpp-groupnormkernelimplchannelslastinternal.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>GroupNormKernelImplInternal Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-group-norm-kernel-cpp-groupnormkernelimplinternal.html</link>
      <description>Architecture documentation for the GroupNormKernelImplInternal class in group_norm_kernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-group-norm-kernel-cpp-groupnormkernelimplinternal.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>is_same_v Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-group-norm-kernel-cpp-is-same-v.html</link>
      <description>Architecture documentation for the is_same_v class in group_norm_kernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-group-norm-kernel-cpp-is-same-v.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>GruPackedContext Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-gru-h-grupackedcontext.html</link>
      <description>Architecture documentation for the GruPackedContext class in Gru.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-gru-h-grupackedcontext.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>HardsigmoidOperatorTester Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-hardsigmoid-operator-tester-h-hardsigmoidoperatortester.html</link>
      <description>Architecture documentation for the HardsigmoidOperatorTester class in hardsigmoid-operator-tester.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-hardsigmoid-operator-tester-h-hardsigmoidoperatortester.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>HardswishOperatorTester Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-hardswish-operator-tester-h-hardswishoperatortester.html</link>
      <description>Architecture documentation for the HardswishOperatorTester class in hardswish-operator-tester.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-hardswish-operator-tester-h-hardswishoperatortester.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>HGEMM_L1 Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-hgemm-cc-hgemm-l1.html</link>
      <description>Architecture documentation for the HGEMM_L1 class in hgemm.cc from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-hgemm-cc-hgemm-l1.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>HGEMM_Op Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-hgemm-cc-hgemm-op.html</link>
      <description>Architecture documentation for the HGEMM_Op class in hgemm.cc from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-hgemm-cc-hgemm-op.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>HGEMM Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-hgemm-cc-hgemm.html</link>
      <description>Architecture documentation for the HGEMM class in hgemm.cc from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-hgemm-cc-hgemm.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>MR Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-hgemm-cc-mr.html</link>
      <description>Architecture documentation for the MR class in hgemm.cc from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-hgemm-cc-mr.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>HIPAllocatorMasqueradingAsCUDA Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-hipallocatormasqueradingascuda-h-hipallocatormasqueradingascuda.html</link>
      <description>Architecture documentation for the HIPAllocatorMasqueradingAsCUDA class in HIPAllocatorMasqueradingAsCUDA.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-hipallocatormasqueradingascuda-h-hipallocatormasqueradingascuda.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>DataPtr Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-hipcachingallocatormasqueradingascuda-h-dataptr.html</link>
      <description>Architecture documentation for the DataPtr class in HIPCachingAllocatorMasqueradingAsCUDA.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-hipcachingallocatormasqueradingascuda-h-dataptr.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>HIPStreamMasqueradingAsCUDA Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-hipstreammasqueradingascuda-h-hipstreammasqueradingascuda.html</link>
      <description>Architecture documentation for the HIPStreamMasqueradingAsCUDA class in HIPStreamMasqueradingAsCUDA.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-hipstreammasqueradingascuda-h-hipstreammasqueradingascuda.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>algorithm Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-histogramkernel-cpp-algorithm.html</link>
      <description>Architecture documentation for the algorithm class in HistogramKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-histogramkernel-cpp-algorithm.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>bin_algorithm Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-histogramkernel-cpp-bin-algorithm.html</link>
      <description>Architecture documentation for the bin_algorithm class in HistogramKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-histogramkernel-cpp-bin-algorithm.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>infer_bin_edges_from_input Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-histogramkernel-cpp-infer-bin-edges-from-input.html</link>
      <description>Architecture documentation for the infer_bin_edges_from_input class in HistogramKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-histogramkernel-cpp-infer-bin-edges-from-input.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>Benchmark Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-huggingface-llm-models-py-benchmark.html</link>
      <description>Architecture documentation for the Benchmark class in huggingface_llm_models.py from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-huggingface-llm-models-py-benchmark.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>TextGenerationBenchmark Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-huggingface-llm-models-py-textgenerationbenchmark.html</link>
      <description>Architecture documentation for the TextGenerationBenchmark class in huggingface_llm_models.py from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-huggingface-llm-models-py-textgenerationbenchmark.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>WhisperBenchmark Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-huggingface-llm-models-py-whisperbenchmark.html</link>
      <description>Architecture documentation for the WhisperBenchmark class in huggingface_llm_models.py from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-huggingface-llm-models-py-whisperbenchmark.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>HuggingfaceRunner Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-huggingface-py-huggingfacerunner.html</link>
      <description>Architecture documentation for the HuggingfaceRunner class in huggingface.py from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-huggingface-py-huggingfacerunner.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>DEFINE_FRIEND_CLASS Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-ilistref-h-define-friend-class.html</link>
      <description>Architecture documentation for the DEFINE_FRIEND_CLASS class in IListRef.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-ilistref-h-define-friend-class.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>IListRef Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-ilistref-h-ilistref.html</link>
      <description>Architecture documentation for the IListRef class in IListRef.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-ilistref-h-ilistref.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>IListRefIterator Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-ilistref-h-ilistrefiterator.html</link>
      <description>Architecture documentation for the IListRefIterator class in IListRef.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-ilistref-h-ilistrefiterator.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>IListRefTagImpl Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-ilistref-h-ilistreftagimpl.html</link>
      <description>Architecture documentation for the IListRefTagImpl class in IListRef.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-ilistref-h-ilistreftagimpl.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>IListRefTagImplBase Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-ilistref-h-ilistreftagimplbase.html</link>
      <description>Architecture documentation for the IListRefTagImplBase class in IListRef.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-ilistref-h-ilistreftagimplbase.html</guid>
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      <title>TAG Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-ilistref-h-tag.html</link>
      <description>Architecture documentation for the TAG class in IListRef.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-ilistref-h-tag.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>ilist Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-ilistref-inl-h-ilist.html</link>
      <description>Architecture documentation for the ilist class in IListRef_inl.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-ilistref-inl-h-ilist.html</guid>
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      <title>IListRefTagImpl Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-ilistref-inl-h-ilistreftagimpl.html</link>
      <description>Architecture documentation for the IListRefTagImpl class in IListRef_inl.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-ilistref-inl-h-ilistreftagimpl.html</guid>
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      <title>it Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-ilistref-inl-h-it.html</link>
      <description>Architecture documentation for the it class in IListRef_inl.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-ilistref-inl-h-it.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-ilistref-inl-h-optionaltensorref.html</link>
      <description>Architecture documentation for the OptionalTensorRef class in IListRef_inl.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-ilistref-inl-h-optionaltensorref.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-ilistref-inl-h-tensor.html</link>
      <description>Architecture documentation for the Tensor class in IListRef_inl.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-ilistref-inl-h-tensor.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-ilistref-test-cpp-check-elements-same.html</link>
      <description>Architecture documentation for the check_elements_same class in IListRef_test.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-ilistref-test-cpp-check-elements-same.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-im2col-h-col2im.html</link>
      <description>Architecture documentation for the col2im class in im2col.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-im2col-h-col2im.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-im2col-h-im2col.html</link>
      <description>Architecture documentation for the im2col class in im2col.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-im2col-h-im2col.html</guid>
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      <title>cpu_hflip_vec Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-indexkernel-cpp-cpu-hflip-vec.html</link>
      <description>Architecture documentation for the cpu_hflip_vec class in IndexKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-indexkernel-cpp-cpu-hflip-vec.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-indexkernel-cpp-cpu-masked-fill-kernel.html</link>
      <description>Architecture documentation for the cpu_masked_fill_kernel class in IndexKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-indexkernel-cpp-cpu-masked-fill-kernel.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-indexkernel-cpp-cpu-masked-scatter-kernel.html</link>
      <description>Architecture documentation for the cpu_masked_scatter_kernel class in IndexKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-indexkernel-cpp-cpu-masked-scatter-kernel.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-indexkernel-cpp-cpu-masked-select-kernel.html</link>
      <description>Architecture documentation for the cpu_masked_select_kernel class in IndexKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-indexkernel-cpp-cpu-masked-select-kernel.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-indexkernel-cpp-cpu-masked-select-serial-kernel.html</link>
      <description>Architecture documentation for the cpu_masked_select_serial_kernel class in IndexKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-indexkernel-cpp-cpu-masked-select-serial-kernel.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-indexkernel-cpp-cpu-take-put-kernel.html</link>
      <description>Architecture documentation for the cpu_take_put_kernel class in IndexKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-indexkernel-cpp-cpu-take-put-kernel.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-indexkernel-h-scalar.html</link>
      <description>Architecture documentation for the Scalar class in IndexKernel.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-indexkernel-h-scalar.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-indexkernel-h-tensor.html</link>
      <description>Architecture documentation for the Tensor class in IndexKernel.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-indexkernel-h-tensor.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-indexkernel-h-tensorbase-2.html</link>
      <description>Architecture documentation for the TensorBase class in IndexKernel.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-indexkernel-h-tensorbase-2.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-indexkernel-h-tensorbase.html</link>
      <description>Architecture documentation for the TensorBase class in IndexKernel.h from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-indexkernelutils-h-alignment-2.html</link>
      <description>Architecture documentation for the Alignment class in IndexKernelUtils.h from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-indexkernelutils-h-alignment.html</link>
      <description>Architecture documentation for the alignment class in IndexKernelUtils.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-indexkernelutils-h-alignment.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>cpu_index_kernel Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-indexkernelutils-h-cpu-index-kernel.html</link>
      <description>Architecture documentation for the cpu_index_kernel class in IndexKernelUtils.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-indexkernelutils-h-cpu-index-kernel.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>bool_t Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-infer-schema-h-bool-t.html</link>
      <description>Architecture documentation for the bool_t class in infer_schema.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-infer-schema-h-bool-t.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>call Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-infer-schema-h-call.html</link>
      <description>Architecture documentation for the call class in infer_schema.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-infer-schema-h-call.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>checkStaticTypes Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-infer-schema-h-checkstatictypes.html</link>
      <description>Architecture documentation for the checkStaticTypes class in infer_schema.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-infer-schema-h-checkstatictypes.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>createArgumentVectorFromTypes Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-infer-schema-h-createargumentvectorfromtypes.html</link>
      <description>Architecture documentation for the createArgumentVectorFromTypes class in infer_schema.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-infer-schema-h-createargumentvectorfromtypes.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>createFunctionSchemaFromTraitsFlattenedReturns Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-infer-schema-h-createfunctionschemafromtraitsflattenedreturns.html</link>
      <description>Architecture documentation for the createFunctionSchemaFromTraitsFlattenedReturns class in infer_schema.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-infer-schema-h-createfunctionschemafromtraitsflattenedreturns.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>createFunctionSchemaFromTraitsSingleReturn Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-infer-schema-h-createfunctionschemafromtraitssinglereturn.html</link>
      <description>Architecture documentation for the createFunctionSchemaFromTraitsSingleReturn class in infer_schema.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-infer-schema-h-createfunctionschemafromtraitssinglereturn.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>inferFunctionSchemaFlattenedReturns Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-infer-schema-h-inferfunctionschemaflattenedreturns.html</link>
      <description>Architecture documentation for the inferFunctionSchemaFlattenedReturns class in infer_schema.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-infer-schema-h-inferfunctionschemaflattenedreturns.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>inferFunctionSchemaSingleReturn Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-infer-schema-h-inferfunctionschemasinglereturn.html</link>
      <description>Architecture documentation for the inferFunctionSchemaSingleReturn class in infer_schema.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-infer-schema-h-inferfunctionschemasinglereturn.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>is_same_v Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-infer-schema-h-is-same-v.html</link>
      <description>Architecture documentation for the is_same_v class in infer_schema.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-infer-schema-h-is-same-v.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>Is Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-infer-schema-h-is.html</link>
      <description>Architecture documentation for the Is class in infer_schema.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-infer-schema-h-is.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>ParameterTypes Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-infer-schema-h-parametertypes.html</link>
      <description>Architecture documentation for the ParameterTypes class in infer_schema.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-infer-schema-h-parametertypes.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>ReturnTypes Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-infer-schema-h-returntypes.html</link>
      <description>Architecture documentation for the ReturnTypes class in infer_schema.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-infer-schema-h-returntypes.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>ReturnTypeTuple Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-infer-schema-h-returntypetuple.html</link>
      <description>Architecture documentation for the ReturnTypeTuple class in infer_schema.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-infer-schema-h-returntypetuple.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>infer_size_impl Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-infersize-h-infer-size-impl.html</link>
      <description>Architecture documentation for the infer_size_impl class in InferSize.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-infersize-h-infer-size-impl.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>BLOCK_M Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-int4mm-kernel-cpp-block-m.html</link>
      <description>Architecture documentation for the BLOCK_M class in int4mm_kernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-int4mm-kernel-cpp-block-m.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>BLOCK_N Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-int4mm-kernel-cpp-block-n.html</link>
      <description>Architecture documentation for the BLOCK_N class in int4mm_kernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-int4mm-kernel-cpp-block-n.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>int4pack_mm_kernel_ Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-int4mm-kernel-cpp-int4pack-mm-kernel.html</link>
      <description>Architecture documentation for the int4pack_mm_kernel_ class in int4mm_kernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-int4mm-kernel-cpp-int4pack-mm-kernel.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>BLOCK_M Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-int8mm-kernel-cpp-block-m.html</link>
      <description>Architecture documentation for the BLOCK_M class in int8mm_kernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-int8mm-kernel-cpp-block-m.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>int8pack_mm_kernel_ Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-int8mm-kernel-cpp-int8pack-mm-kernel.html</link>
      <description>Architecture documentation for the int8pack_mm_kernel_ class in int8mm_kernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-int8mm-kernel-cpp-int8pack-mm-kernel.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>convert Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-interleaved-numeric-conversion-h-convert.html</link>
      <description>Architecture documentation for the convert class in interleaved_numeric_conversion.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-interleaved-numeric-conversion-h-convert.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>from_json Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-interpreter-h-from-json.html</link>
      <description>Architecture documentation for the from_json class in Interpreter.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-interpreter-h-from-json.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>to_json Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-interpreter-h-to-json.html</link>
      <description>Architecture documentation for the to_json class in Interpreter.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-interpreter-h-to-json.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>is_contiguous Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-iscontiguous-h-is-contiguous.html</link>
      <description>Architecture documentation for the is_contiguous class in IsContiguous.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-iscontiguous-h-is-contiguous.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>is_void_v Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-iscontiguous-h-is-void-v.html</link>
      <description>Architecture documentation for the is_void_v class in IsContiguous.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-iscontiguous-h-is-void-v.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>isListOf Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-ivalue-cpp-islistof.html</link>
      <description>Architecture documentation for the isListOf class in ivalue.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-ivalue-cpp-islistof.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>printDict Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-ivalue-cpp-printdict.html</link>
      <description>Architecture documentation for the printDict class in ivalue.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-ivalue-cpp-printdict.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>printList Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-ivalue-cpp-printlist.html</link>
      <description>Architecture documentation for the printList class in ivalue.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-ivalue-cpp-printlist.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>ComplexHolder Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-ivalue-h-complexholder.html</link>
      <description>Architecture documentation for the ComplexHolder class in ivalue.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-ivalue-h-complexholder.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>Dict Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-ivalue-h-dict.html</link>
      <description>Architecture documentation for the Dict class in ivalue.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-ivalue-h-dict.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>disjunction_v Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-ivalue-h-disjunction-v.html</link>
      <description>Architecture documentation for the disjunction_v class in ivalue.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-ivalue-h-disjunction-v.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>IListRef Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-ivalue-h-ilistref.html</link>
      <description>Architecture documentation for the IListRef class in ivalue.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-ivalue-h-ilistref.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>is_constructible_v Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-ivalue-h-is-constructible-v.html</link>
      <description>Architecture documentation for the is_constructible_v class in ivalue.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-ivalue-h-is-constructible-v.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>isListOf Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-ivalue-h-islistof.html</link>
      <description>Architecture documentation for the isListOf class in ivalue.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-ivalue-h-islistof.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>IValue Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-ivalue-h-ivalue.html</link>
      <description>Architecture documentation for the IValue class in ivalue.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-ivalue-h-ivalue.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>Key Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-ivalue-h-key.html</link>
      <description>Architecture documentation for the Key class in ivalue.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-ivalue-h-key.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>List Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-ivalue-h-list.html</link>
      <description>Architecture documentation for the List class in ivalue.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-ivalue-h-list.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>moveToIntrusivePtr Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-ivalue-h-movetointrusiveptr.html</link>
      <description>Architecture documentation for the moveToIntrusivePtr class in ivalue.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-ivalue-h-movetointrusiveptr.html</guid>
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      <title>OptionalArray Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-ivalue-h-optionalarray.html</link>
      <description>Architecture documentation for the OptionalArray class in ivalue.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-ivalue-h-optionalarray.html</guid>
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      <title>RRefInterface Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-ivalue-h-rrefinterface.html</link>
      <description>Architecture documentation for the RRefInterface class in ivalue.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-ivalue-h-rrefinterface.html</guid>
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      <title>to Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-ivalue-h-to.html</link>
      <description>Architecture documentation for the to class in ivalue.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-ivalue-h-to.html</guid>
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      <title>toCustomClass Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-ivalue-h-tocustomclass.html</link>
      <description>Architecture documentation for the toCustomClass class in ivalue.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-ivalue-h-tocustomclass.html</guid>
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      <title>toIntrusivePtr Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-ivalue-h-tointrusiveptr.html</link>
      <description>Architecture documentation for the toIntrusivePtr class in ivalue.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-ivalue-h-tointrusiveptr.html</guid>
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      <title>toOptional Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-ivalue-h-tooptional.html</link>
      <description>Architecture documentation for the toOptional class in ivalue.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-ivalue-h-tooptional.html</guid>
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      <title>TORCH_API Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-ivalue-h-torch-api.html</link>
      <description>Architecture documentation for the TORCH_API class in ivalue.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-ivalue-h-torch-api.html</guid>
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      <title>type Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-ivalue-h-type.html</link>
      <description>Architecture documentation for the type class in ivalue.h from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-ivalue-inl-h-addcallback.html</link>
      <description>Architecture documentation for the addCallback class in ivalue_inl.h from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-ivalue-inl-h-args.html</link>
      <description>Architecture documentation for the Args class in ivalue_inl.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-ivalue-inl-h-args.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-ivalue-inl-h-createvectorfromlist.html</link>
      <description>Architecture documentation for the createVectorFromList class in ivalue_inl.h from the pytorch codebase.</description>
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      <title>createVectorLikeFromList Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-ivalue-inl-h-createvectorlikefromlist.html</link>
      <description>Architecture documentation for the createVectorLikeFromList class in ivalue_inl.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-ivalue-inl-h-createvectorlikefromlist.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>disjunction_v Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-ivalue-inl-h-disjunction-v.html</link>
      <description>Architecture documentation for the disjunction_v class in ivalue_inl.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-ivalue-inl-h-disjunction-v.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>dynamic_intrusive_pointer_cast Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-ivalue-inl-h-dynamic-intrusive-pointer-cast.html</link>
      <description>Architecture documentation for the dynamic_intrusive_pointer_cast class in ivalue_inl.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-ivalue-inl-h-dynamic-intrusive-pointer-cast.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>from Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-ivalue-inl-h-from-2.html</link>
      <description>Architecture documentation for the from class in ivalue_inl.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-ivalue-inl-h-from-2.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>from_ Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-ivalue-inl-h-from.html</link>
      <description>Architecture documentation for the from_ class in ivalue_inl.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-ivalue-inl-h-from.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>FutureCallback Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-ivalue-inl-h-futurecallback.html</link>
      <description>Architecture documentation for the FutureCallback class in ivalue_inl.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-ivalue-inl-h-futurecallback.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>generic_to Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-ivalue-inl-h-generic-to.html</link>
      <description>Architecture documentation for the generic_to class in ivalue_inl.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-ivalue-inl-h-generic-to.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>INDEX Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-ivalue-inl-h-index.html</link>
      <description>Architecture documentation for the INDEX class in ivalue_inl.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-ivalue-inl-h-index.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>IValue Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-ivalue-inl-h-ivalue.html</link>
      <description>Architecture documentation for the IValue class in ivalue_inl.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-ivalue-inl-h-ivalue.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>moveToIntrusivePtr Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-ivalue-inl-h-movetointrusiveptr.html</link>
      <description>Architecture documentation for the moveToIntrusivePtr class in ivalue_inl.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-ivalue-inl-h-movetointrusiveptr.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>static_intrusive_pointer_cast Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-ivalue-inl-h-static-intrusive-pointer-cast.html</link>
      <description>Architecture documentation for the static_intrusive_pointer_cast class in ivalue_inl.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-ivalue-inl-h-static-intrusive-pointer-cast.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>TaggedCapsuleType Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-ivalue-inl-h-taggedcapsuletype.html</link>
      <description>Architecture documentation for the TaggedCapsuleType class in ivalue_inl.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-ivalue-inl-h-taggedcapsuletype.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>then Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-ivalue-inl-h-then.html</link>
      <description>Architecture documentation for the then class in ivalue_inl.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-ivalue-inl-h-then.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>thenAsync Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-ivalue-inl-h-thenasync.html</link>
      <description>Architecture documentation for the thenAsync class in ivalue_inl.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-ivalue-inl-h-thenasync.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>to Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-ivalue-inl-h-to.html</link>
      <description>Architecture documentation for the to class in ivalue_inl.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-ivalue-inl-h-to.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>toCustomClass Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-ivalue-inl-h-tocustomclass.html</link>
      <description>Architecture documentation for the toCustomClass class in ivalue_inl.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-ivalue-inl-h-tocustomclass.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>toIntrusivePtr Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-ivalue-inl-h-tointrusiveptr.html</link>
      <description>Architecture documentation for the toIntrusivePtr class in ivalue_inl.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-ivalue-inl-h-tointrusiveptr.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>toOptional Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-ivalue-inl-h-tooptional.html</link>
      <description>Architecture documentation for the toOptional class in ivalue_inl.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-ivalue-inl-h-tooptional.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>TupleTypeFactory Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-ivalue-inl-h-tupletypefactory.html</link>
      <description>Architecture documentation for the TupleTypeFactory class in ivalue_inl.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-ivalue-inl-h-tupletypefactory.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>type Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-ivalue-inl-h-type.html</link>
      <description>Architecture documentation for the type class in ivalue_inl.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-ivalue-inl-h-type.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>TypePtr Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-ivalue-inl-h-typeptr.html</link>
      <description>Architecture documentation for the TypePtr class in ivalue_inl.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-ivalue-inl-h-typeptr.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>IValue Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-ivalue-java-ivalue.html</link>
      <description>Architecture documentation for the IValue class in IValue.java from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-ivalue-java-ivalue.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>ivalue_to_const_ref_overload_return Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-ivalue-to-h-ivalue-to-const-ref-overload-return.html</link>
      <description>Architecture documentation for the ivalue_to_const_ref_overload_return class in ivalue_to.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-ivalue-to-h-ivalue-to-const-ref-overload-return.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>Tensor Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-ivalue-to-h-tensor.html</link>
      <description>Architecture documentation for the Tensor class in ivalue_to.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-ivalue-to-h-tensor.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>cast Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-jit-type-base-h-cast.html</link>
      <description>Architecture documentation for the cast class in jit_type_base.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-jit-type-base-h-cast.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>castRaw Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-jit-type-base-h-castraw.html</link>
      <description>Architecture documentation for the castRaw class in jit_type_base.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-jit-type-base-h-castraw.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>expect Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-jit-type-base-h-expect.html</link>
      <description>Architecture documentation for the expect class in jit_type_base.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-jit-type-base-h-expect.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>expectRef Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-jit-type-base-h-expectref.html</link>
      <description>Architecture documentation for the expectRef class in jit_type_base.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-jit-type-base-h-expectref.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>is_same_v Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-jit-type-base-h-is-same-v.html</link>
      <description>Architecture documentation for the is_same_v class in jit_type_base.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-jit-type-base-h-is-same-v.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>isSubtypeOf Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-jit-type-base-h-issubtypeof.html</link>
      <description>Architecture documentation for the isSubtypeOf class in jit_type_base.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-jit-type-base-h-issubtypeof.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>isSubtypeOfExt Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-jit-type-base-h-issubtypeofext.html</link>
      <description>Architecture documentation for the isSubtypeOfExt class in jit_type_base.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-jit-type-base-h-issubtypeofext.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>SingletonOrSharedTypePtr Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-jit-type-base-h-singletonorsharedtypeptr.html</link>
      <description>Architecture documentation for the SingletonOrSharedTypePtr class in jit_type_base.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-jit-type-base-h-singletonorsharedtypeptr.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>value Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-jit-type-base-h-value.html</link>
      <description>Architecture documentation for the value class in jit_type_base.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-jit-type-base-h-value.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>cast Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-jit-type-h-cast.html</link>
      <description>Architecture documentation for the cast class in jit_type.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-jit-type-h-cast.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>castRaw Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-jit-type-h-castraw.html</link>
      <description>Architecture documentation for the castRaw class in jit_type.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-jit-type-h-castraw.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>create Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-jit-type-h-create.html</link>
      <description>Architecture documentation for the create class in jit_type.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-jit-type-h-create.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>Dict Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-jit-type-h-dict.html</link>
      <description>Architecture documentation for the Dict class in jit_type.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-jit-type-h-dict.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>fake Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-jit-type-h-fake.html</link>
      <description>Architecture documentation for the fake class in jit_type.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-jit-type-h-fake.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>get Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-jit-type-h-get.html</link>
      <description>Architecture documentation for the get class in jit_type.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-jit-type-h-get.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>getCustomClassType Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-jit-type-h-getcustomclasstype.html</link>
      <description>Architecture documentation for the getCustomClassType class in jit_type.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-jit-type-h-getcustomclasstype.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>getFakeTypePtr Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-jit-type-h-getfaketypeptr.html</link>
      <description>Architecture documentation for the getFakeTypePtr class in jit_type.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-jit-type-h-getfaketypeptr.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>getFakeTypePtrCopy Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-jit-type-h-getfaketypeptrcopy.html</link>
      <description>Architecture documentation for the getFakeTypePtrCopy class in jit_type.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-jit-type-h-getfaketypeptrcopy.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>getTypePtr Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-jit-type-h-gettypeptr.html</link>
      <description>Architecture documentation for the getTypePtr class in jit_type.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-jit-type-h-gettypeptr.html</guid>
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      <title>getTypePtrCopy Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-jit-type-h-gettypeptrcopy.html</link>
      <description>Architecture documentation for the getTypePtrCopy class in jit_type.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-jit-type-h-gettypeptrcopy.html</guid>
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      <title>inner_type Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-jit-type-h-inner-type.html</link>
      <description>Architecture documentation for the inner_type class in jit_type.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-jit-type-h-inner-type.html</guid>
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      <title>isComplete Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-jit-type-h-iscomplete.html</link>
      <description>Architecture documentation for the isComplete class in jit_type.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-jit-type-h-iscomplete.html</guid>
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      <title>Key Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-jit-type-h-key.html</link>
      <description>Architecture documentation for the Key class in jit_type.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-jit-type-h-key.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-jit-type-h-merge-primitive.html</link>
      <description>Architecture documentation for the merge_primitive class in jit_type.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-jit-type-h-merge-primitive.html</guid>
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      <title>ostream Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-jit-type-h-ostream.html</link>
      <description>Architecture documentation for the ostream class in jit_type.h from the pytorch codebase.</description>
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      <title>VaryingShape Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-jit-type-h-varyingshape.html</link>
      <description>Architecture documentation for the VaryingShape class in jit_type.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-jit-type-h-varyingshape.html</guid>
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      <title>get_extra_args_types Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-jit-utils-h-get-extra-args-types.html</link>
      <description>Architecture documentation for the get_extra_args_types class in jit_utils.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-jit-utils-h-get-extra-args-types.html</guid>
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      <title>make_kernel_descriptor Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-jit-utils-h-make-kernel-descriptor.html</link>
      <description>Architecture documentation for the make_kernel_descriptor class in jit_utils.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-jit-utils-h-make-kernel-descriptor.html</guid>
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      <title>typeName Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-jit-utils-h-typename.html</link>
      <description>Architecture documentation for the typeName class in jit_utils.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-jit-utils-h-typename.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>IS_INPUT Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-jiterator-impl-h-is-input.html</link>
      <description>Architecture documentation for the IS_INPUT class in jiterator_impl.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-jiterator-impl-h-is-input.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>kai_pack_rhs_channelwise_int4 Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-kai-pack-h-kai-pack-rhs-channelwise-int4.html</link>
      <description>Architecture documentation for the kai_pack_rhs_channelwise_int4 class in kai_pack.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-kai-pack-h-kai-pack-rhs-channelwise-int4.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>kai_pack_rhs_groupwise_int4 Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-kai-pack-h-kai-pack-rhs-groupwise-int4.html</link>
      <description>Architecture documentation for the kai_pack_rhs_groupwise_int4 class in kai_pack.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-kai-pack-h-kai-pack-rhs-groupwise-int4.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>getWarpsPerSmBw Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-kernel-backward-h-getwarpspersmbw.html</link>
      <description>Architecture documentation for the getWarpsPerSmBw class in kernel_backward.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-kernel-backward-h-getwarpspersmbw.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>kElementsPerAccess Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-kernel-backward-h-kelementsperaccess.html</link>
      <description>Architecture documentation for the kElementsPerAccess class in kernel_backward.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-kernel-backward-h-kelementsperaccess.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>kForceReloadK Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-kernel-backward-h-kforcereloadk.html</link>
      <description>Architecture documentation for the kForceReloadK class in kernel_backward.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-kernel-backward-h-kforcereloadk.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>kNumThreads Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-kernel-backward-h-knumthreads.html</link>
      <description>Architecture documentation for the kNumThreads class in kernel_backward.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-kernel-backward-h-knumthreads.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>skipBoundsChecks Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-kernel-backward-h-skipboundschecks.html</link>
      <description>Architecture documentation for the skipBoundsChecks class in kernel_backward.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-kernel-backward-h-skipboundschecks.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>void Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-kernel-backward-h-void.html</link>
      <description>Architecture documentation for the void class in kernel_backward.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-kernel-backward-h-void.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>getWarpsPerSmFw Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-kernel-forward-h-getwarpspersmfw.html</link>
      <description>Architecture documentation for the getWarpsPerSmFw class in kernel_forward.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-kernel-forward-h-getwarpspersmfw.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>isAligned_ Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-kernel-forward-h-isaligned.html</link>
      <description>Architecture documentation for the isAligned_ class in kernel_forward.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-kernel-forward-h-isaligned.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>void Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-kernel-forward-h-void.html</link>
      <description>Architecture documentation for the void class in kernel_forward.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-kernel-forward-h-void.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>Args Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-kernel-function-legacy-test-cpp-args.html</link>
      <description>Architecture documentation for the Args class in kernel_function_legacy_test.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-kernel-function-legacy-test-cpp-args.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>Return Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-kernel-function-legacy-test-cpp-return.html</link>
      <description>Architecture documentation for the Return class in kernel_function_legacy_test.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-kernel-function-legacy-test-cpp-return.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>Args Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-kernel-function-test-cpp-args.html</link>
      <description>Architecture documentation for the Args class in kernel_function_test.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-kernel-function-test-cpp-args.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>Return Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-kernel-function-test-cpp-return.html</link>
      <description>Architecture documentation for the Return class in kernel_function_test.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-kernel-function-test-cpp-return.html</guid>
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      <title>AllowLegacyTypes Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-kernelfunction-h-allowlegacytypes.html</link>
      <description>Architecture documentation for the AllowLegacyTypes class in KernelFunction.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-kernelfunction-h-allowlegacytypes.html</guid>
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      <title>call Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-kernelfunction-h-call.html</link>
      <description>Architecture documentation for the call class in KernelFunction.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-kernelfunction-h-call.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>func Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-kernelfunction-h-func.html</link>
      <description>Architecture documentation for the func class in KernelFunction.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-kernelfunction-h-func.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>KernelFunction Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-kernelfunction-h-kernelfunction.html</link>
      <description>Architecture documentation for the KernelFunction class in KernelFunction.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-kernelfunction-h-kernelfunction.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>KernelToken Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-kernelfunction-h-kerneltoken.html</link>
      <description>Architecture documentation for the KernelToken class in KernelFunction.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-kernelfunction-h-kerneltoken.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>makeFromBoxedFunctor Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-kernelfunction-h-makefromboxedfunctor.html</link>
      <description>Architecture documentation for the makeFromBoxedFunctor class in KernelFunction.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-kernelfunction-h-makefromboxedfunctor.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>OperatorHandle Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-kernelfunction-h-operatorhandle.html</link>
      <description>Architecture documentation for the OperatorHandle class in KernelFunction.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-kernelfunction-h-operatorhandle.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>remove_symint Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-kernelfunction-h-remove-symint.html</link>
      <description>Architecture documentation for the remove_symint class in KernelFunction.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-kernelfunction-h-remove-symint.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>Ret Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-kernelfunction-h-ret.html</link>
      <description>Architecture documentation for the Ret class in KernelFunction.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-kernelfunction-h-ret.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>SafeKernelFunction Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-kernelfunction-h-safekernelfunction.html</link>
      <description>Architecture documentation for the SafeKernelFunction class in KernelFunction.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-kernelfunction-h-safekernelfunction.html</guid>
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      <title>symint Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-kernelfunction-h-symint.html</link>
      <description>Architecture documentation for the symint class in KernelFunction.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-kernelfunction-h-symint.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-kernelfunction-h-torch-api.html</link>
      <description>Architecture documentation for the TORCH_API class in KernelFunction.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-kernelfunction-h-torch-api.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-kernelfunction-impl-h-allowlegacytypes.html</link>
      <description>Architecture documentation for the AllowLegacyTypes class in KernelFunction_impl.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-kernelfunction-impl-h-allowlegacytypes.html</guid>
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      <title>call Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-kernelfunction-impl-h-call.html</link>
      <description>Architecture documentation for the call class in KernelFunction_impl.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-kernelfunction-impl-h-call.html</guid>
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      <title>callUnboxedKernelFunction Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-kernelfunction-impl-h-callunboxedkernelfunction.html</link>
      <description>Architecture documentation for the callUnboxedKernelFunction class in KernelFunction_impl.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-kernelfunction-impl-h-callunboxedkernelfunction.html</guid>
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      <title>func Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-kernelfunction-impl-h-func.html</link>
      <description>Architecture documentation for the func class in KernelFunction_impl.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-kernelfunction-impl-h-func.html</guid>
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      <title>is_array_v Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-kernelfunction-impl-h-is-array-v.html</link>
      <description>Architecture documentation for the is_array_v class in KernelFunction_impl.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-kernelfunction-impl-h-is-array-v.html</guid>
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      <title>makeFromBoxedFunctor Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-kernelfunction-impl-h-makefromboxedfunctor.html</link>
      <description>Architecture documentation for the makeFromBoxedFunctor class in KernelFunction_impl.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-kernelfunction-impl-h-makefromboxedfunctor.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-kernelfunction-impl-h-unpacksymint.html</link>
      <description>Architecture documentation for the unpackSymInt class in KernelFunction_impl.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-kernelfunction-impl-h-unpacksymint.html</guid>
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      <title>CrossEntropyBackward Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-kernels-py-crossentropybackward.html</link>
      <description>Architecture documentation for the CrossEntropyBackward class in kernels.py from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-kernels-py-crossentropybackward.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-kernels-py-crossentropyforward.html</link>
      <description>Architecture documentation for the CrossEntropyForward class in kernels.py from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-kernels-py-crossentropyforward.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-kernels-py-layernormbackward.html</link>
      <description>Architecture documentation for the LayerNormBackward class in kernels.py from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-kernels-py-layernormbackward.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-kernels-py-layernormforward.html</link>
      <description>Architecture documentation for the LayerNormForward class in kernels.py from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-kernels-py-rmsnormbackward.html</link>
      <description>Architecture documentation for the RMSNormBackward class in kernels.py from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-kernels-py-rmsnormforward.html</link>
      <description>Architecture documentation for the RMSNormForward class in kernels.py from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-kernels-py-softmaxbackward.html</link>
      <description>Architecture documentation for the SoftmaxBackward class in kernels.py from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-kernels-py-softmaxforward.html</link>
      <description>Architecture documentation for the SoftmaxForward class in kernels.py from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-launch-kernel-pt-hpp-minblockpercu.html</link>
      <description>Architecture documentation for the MinBlockPerCu class in launch_kernel_pt.hpp from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-layer-norm-kernel-cpp-is-reduced-floating-point-v.html</link>
      <description>Architecture documentation for the is_reduced_floating_point_v class in layer_norm_kernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-layer-norm-kernel-cpp-is-reduced-floating-point-v.html</guid>
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      <title>layer_norm_backward_frame Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-layer-norm-kernel-cpp-layer-norm-backward-frame.html</link>
      <description>Architecture documentation for the layer_norm_backward_frame class in layer_norm_kernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-layer-norm-kernel-cpp-layer-norm-backward-frame.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>layer_norm_kernel_mixed_type Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-layer-norm-kernel-cpp-layer-norm-kernel-mixed-type.html</link>
      <description>Architecture documentation for the layer_norm_kernel_mixed_type class in layer_norm_kernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-layer-norm-kernel-cpp-layer-norm-kernel-mixed-type.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>LayerNormBackwardKernelImplInternal Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-layer-norm-kernel-cpp-layernormbackwardkernelimplinternal.html</link>
      <description>Architecture documentation for the LayerNormBackwardKernelImplInternal class in layer_norm_kernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-layer-norm-kernel-cpp-layernormbackwardkernelimplinternal.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>LayerNormKernelImplInternal Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-layer-norm-kernel-cpp-layernormkernelimplinternal.html</link>
      <description>Architecture documentation for the LayerNormKernelImplInternal class in layer_norm_kernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-layer-norm-kernel-cpp-layernormkernelimplinternal.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>LayerNormSecondPass Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-layer-norm-kernel-cpp-layernormsecondpass.html</link>
      <description>Architecture documentation for the LayerNormSecondPass class in layer_norm_kernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-layer-norm-kernel-cpp-layernormsecondpass.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>LayernormPackedContext Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-layernorm-h-layernormpackedcontext.html</link>
      <description>Architecture documentation for the LayernormPackedContext class in Layernorm.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-layernorm-h-layernormpackedcontext.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>LeakyReLUOperatorTester Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-leaky-relu-operator-tester-h-leakyreluoperatortester.html</link>
      <description>Architecture documentation for the LeakyReLUOperatorTester class in leaky-relu-operator-tester.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-leaky-relu-operator-tester-h-leakyreluoperatortester.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>Func Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-legacybatchingregistrations-cpp-func-2.html</link>
      <description>Architecture documentation for the Func class in LegacyBatchingRegistrations.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-legacybatchingregistrations-cpp-func-2.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>Func Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-legacybatchingregistrations-cpp-func.html</link>
      <description>Architecture documentation for the Func class in LegacyBatchingRegistrations.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-legacybatchingregistrations-cpp-func.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>C10_ALWAYS_INLINE Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-lerp-h-c10-always-inline.html</link>
      <description>Architecture documentation for the C10_ALWAYS_INLINE class in Lerp.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-lerp-h-c10-always-inline.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>is_lerp_weight_small Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-lerpkernel-cpp-is-lerp-weight-small.html</link>
      <description>Architecture documentation for the is_lerp_weight_small class in LerpKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-lerpkernel-cpp-is-lerp-weight-small.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>lerp_vec_map Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-lerpkernel-cpp-lerp-vec-map.html</link>
      <description>Architecture documentation for the lerp_vec_map class in LerpKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-lerpkernel-cpp-lerp-vec-map.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>lerp_vec Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-lerpkernel-cpp-lerp-vec.html</link>
      <description>Architecture documentation for the lerp_vec class in LerpKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-lerpkernel-cpp-lerp-vec.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>kSpatialDim Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-library-h-kspatialdim.html</link>
      <description>Architecture documentation for the kSpatialDim class in library.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-library-h-kspatialdim.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>kReluFused Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-linear-cpp-krelufused.html</link>
      <description>Architecture documentation for the kReluFused class in Linear.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-linear-cpp-krelufused.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>QLinearInt8 Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-linear-cpp-qlinearint8.html</link>
      <description>Architecture documentation for the QLinearInt8 class in Linear.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-linear-cpp-qlinearint8.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>backward_analytic_function_of_a_matrix Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-linearalgebra-cpp-backward-analytic-function-of-a-matrix.html</link>
      <description>Architecture documentation for the backward_analytic_function_of_a_matrix class in LinearAlgebra.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-linearalgebra-cpp-backward-analytic-function-of-a-matrix.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>_blob_to_Tensor Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-linearalgebra-cpp-blob-to-tensor.html</link>
      <description>Architecture documentation for the _blob_to_Tensor class in LinearAlgebra.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-linearalgebra-cpp-blob-to-tensor.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>common_checks_baddbmm_bmm Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-linearalgebra-cpp-common-checks-baddbmm-bmm.html</link>
      <description>Architecture documentation for the common_checks_baddbmm_bmm class in LinearAlgebra.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-linearalgebra-cpp-common-checks-baddbmm-bmm.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>compute_T12 Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-linearalgebra-cpp-compute-t12.html</link>
      <description>Architecture documentation for the compute_T12 class in LinearAlgebra.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-linearalgebra-cpp-compute-t12.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>compute_T18_scale_square Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-linearalgebra-cpp-compute-t18-scale-square.html</link>
      <description>Architecture documentation for the compute_T18_scale_square class in LinearAlgebra.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-linearalgebra-cpp-compute-t18-scale-square.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>compute_T18 Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-linearalgebra-cpp-compute-t18.html</link>
      <description>Architecture documentation for the compute_T18 class in LinearAlgebra.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-linearalgebra-cpp-compute-t18.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>compute_T4 Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-linearalgebra-cpp-compute-t4.html</link>
      <description>Architecture documentation for the compute_T4 class in LinearAlgebra.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-linearalgebra-cpp-compute-t4.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>compute_T8 Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-linearalgebra-cpp-compute-t8.html</link>
      <description>Architecture documentation for the compute_T8 class in LinearAlgebra.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-linearalgebra-cpp-compute-t8.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>is_bmm Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-linearalgebra-cpp-is-bmm.html</link>
      <description>Architecture documentation for the is_bmm class in LinearAlgebra.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-linearalgebra-cpp-is-bmm.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>_linear_combination Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-linearalgebra-cpp-linear-combination.html</link>
      <description>Architecture documentation for the _linear_combination class in LinearAlgebra.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-linearalgebra-cpp-linear-combination.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>mexp_impl Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-linearalgebra-cpp-mexp-impl.html</link>
      <description>Architecture documentation for the mexp_impl class in LinearAlgebra.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-linearalgebra-cpp-mexp-impl.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>ROW Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-linearalgebra-cpp-row.html</link>
      <description>Architecture documentation for the ROW class in LinearAlgebra.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-linearalgebra-cpp-row.html</guid>
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      <title>Scalar Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-linearalgebra-h-scalar.html</link>
      <description>Architecture documentation for the Scalar class in LinearAlgebra.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-linearalgebra-h-scalar.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>batch_iterator_with_broadcasting Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-linearalgebrautils-h-batch-iterator-with-broadcasting.html</link>
      <description>Architecture documentation for the batch_iterator_with_broadcasting class in LinearAlgebraUtils.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-linearalgebrautils-h-batch-iterator-with-broadcasting.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-linearalgebrautils-h-broadcastlinearindices.html</link>
      <description>Architecture documentation for the BroadcastLinearIndices class in LinearAlgebraUtils.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-linearalgebrautils-h-broadcastlinearindices.html</guid>
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      <title>QLinearPackWeightInt8Cudnn Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-linearprepack-cpp-qlinearpackweightint8cudnn.html</link>
      <description>Architecture documentation for the QLinearPackWeightInt8Cudnn class in LinearPrepack.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-linearprepack-cpp-qlinearpackweightint8cudnn.html</guid>
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      <title>emplace_back Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-list-h-emplace-back.html</link>
      <description>Architecture documentation for the emplace_back class in List.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-list-h-emplace-back.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-list-h-emplace.html</link>
      <description>Architecture documentation for the emplace class in List.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-list-h-emplace.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-list-h-lhs.html</link>
      <description>Architecture documentation for the lhs class in List.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-list-h-lhs.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-list-h-list.html</link>
      <description>Architecture documentation for the List class in List.h from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-list-h-listelementconstreferencetraits.html</link>
      <description>Architecture documentation for the ListElementConstReferenceTraits class in List.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-list-h-listelementconstreferencetraits.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-list-h-listelementreference.html</link>
      <description>Architecture documentation for the ListElementReference class in List.h from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-list-h-listiterator.html</link>
      <description>Architecture documentation for the ListIterator class in List.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-list-h-listiterator.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-list-h-new-value.html</link>
      <description>Architecture documentation for the new_value class in List.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-list-h-new-value.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-list-h-swap.html</link>
      <description>Architecture documentation for the swap class in List.h from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-list-h-tensor.html</link>
      <description>Architecture documentation for the Tensor class in List.h from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-list-h-tolist.html</link>
      <description>Architecture documentation for the toList class in List.h from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-list-h-totypedlist.html</link>
      <description>Architecture documentation for the toTypedList class in List.h from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-list-inl-h-append.html</link>
      <description>Architecture documentation for the append class in List_inl.h from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-list-inl-h-begin.html</link>
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      <link>https://repos.supermodeltools.com/pytorch/class-list-inl-h-clear.html</link>
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      <link>https://repos.supermodeltools.com/pytorch/class-list-inl-h-copy.html</link>
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      <title>element Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-list-inl-h-element.html</link>
      <description>Architecture documentation for the element class in List_inl.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-list-inl-h-element.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
    </item>
    <item>
      <title>elementType Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-list-inl-h-elementtype.html</link>
      <description>Architecture documentation for the elementType class in List_inl.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-list-inl-h-elementtype.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
    </item>
    <item>
      <title>emplace_back Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-list-inl-h-emplace-back.html</link>
      <description>Architecture documentation for the emplace_back class in List_inl.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-list-inl-h-emplace-back.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
    </item>
    <item>
      <title>emplace Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-list-inl-h-emplace.html</link>
      <description>Architecture documentation for the emplace class in List_inl.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-list-inl-h-emplace.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
    </item>
    <item>
      <title>empty Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-list-inl-h-empty.html</link>
      <description>Architecture documentation for the empty class in List_inl.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-list-inl-h-empty.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
    </item>
    <item>
      <title>end Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-list-inl-h-end.html</link>
      <description>Architecture documentation for the end class in List_inl.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-list-inl-h-end.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
    </item>
    <item>
      <title>erase Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-list-inl-h-erase.html</link>
      <description>Architecture documentation for the erase class in List_inl.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-list-inl-h-erase.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
    </item>
    <item>
      <title>extract Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-list-inl-h-extract.html</link>
      <description>Architecture documentation for the extract class in List_inl.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-list-inl-h-extract.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
    </item>
    <item>
      <title>get Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-list-inl-h-get.html</link>
      <description>Architecture documentation for the get class in List_inl.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-list-inl-h-get.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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    <item>
      <title>getTypePtr Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-list-inl-h-gettypeptr.html</link>
      <description>Architecture documentation for the getTypePtr class in List_inl.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-list-inl-h-gettypeptr.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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    <item>
      <title>insert Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-list-inl-h-insert.html</link>
      <description>Architecture documentation for the insert class in List_inl.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-list-inl-h-insert.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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    <item>
      <title>is Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-list-inl-h-is.html</link>
      <description>Architecture documentation for the is class in List_inl.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-list-inl-h-is.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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    <item>
      <title>iterator_ Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-list-inl-h-iterator.html</link>
      <description>Architecture documentation for the iterator_ class in List_inl.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-list-inl-h-iterator.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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    <item>
      <title>lhs Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-list-inl-h-lhs.html</link>
      <description>Architecture documentation for the lhs class in List_inl.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-list-inl-h-lhs.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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    <item>
      <title>list_element_to_const_ref Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-list-inl-h-list-element-to-const-ref.html</link>
      <description>Architecture documentation for the list_element_to_const_ref class in List_inl.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-list-inl-h-list-element-to-const-ref.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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    <item>
      <title>list_element_to Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-list-inl-h-list-element-to.html</link>
      <description>Architecture documentation for the list_element_to class in List_inl.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-list-inl-h-list-element-to.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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    <item>
      <title>List Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-list-inl-h-list.html</link>
      <description>Architecture documentation for the List class in List_inl.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-list-inl-h-list.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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    <item>
      <title>new_value Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-list-inl-h-new-value.html</link>
      <description>Architecture documentation for the new_value class in List_inl.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-list-inl-h-new-value.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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    <item>
      <title>pop_back Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-list-inl-h-pop-back.html</link>
      <description>Architecture documentation for the pop_back class in List_inl.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-list-inl-h-pop-back.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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    <item>
      <title>pos Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-list-inl-h-pos.html</link>
      <description>Architecture documentation for the pos class in List_inl.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-list-inl-h-pos.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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    <item>
      <title>push_back Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-list-inl-h-push-back.html</link>
      <description>Architecture documentation for the push_back class in List_inl.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-list-inl-h-push-back.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>reserve Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-list-inl-h-reserve.html</link>
      <description>Architecture documentation for the reserve class in List_inl.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-list-inl-h-reserve.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>resize Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-list-inl-h-resize.html</link>
      <description>Architecture documentation for the resize class in List_inl.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-list-inl-h-resize.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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    <item>
      <title>rhs Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-list-inl-h-rhs.html</link>
      <description>Architecture documentation for the rhs class in List_inl.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-list-inl-h-rhs.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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    <item>
      <title>set Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-list-inl-h-set.html</link>
      <description>Architecture documentation for the set class in List_inl.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-list-inl-h-set.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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    <item>
      <title>size Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-list-inl-h-size.html</link>
      <description>Architecture documentation for the size class in List_inl.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-list-inl-h-size.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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    <item>
      <title>swap Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-list-inl-h-swap.html</link>
      <description>Architecture documentation for the swap class in List_inl.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-list-inl-h-swap.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>toList Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-list-inl-h-tolist.html</link>
      <description>Architecture documentation for the toList class in List_inl.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-list-inl-h-tolist.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>toTypedList Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-list-inl-h-totypedlist.html</link>
      <description>Architecture documentation for the toTypedList class in List_inl.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-list-inl-h-totypedlist.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>unsafeSetElementType Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-list-inl-h-unsafesetelementtype.html</link>
      <description>Architecture documentation for the unsafeSetElementType class in List_inl.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-list-inl-h-unsafesetelementtype.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>use_count Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-list-inl-h-use-count.html</link>
      <description>Architecture documentation for the use_count class in List_inl.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-list-inl-h-use-count.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>vec Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-list-inl-h-vec.html</link>
      <description>Architecture documentation for the vec class in List_inl.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-list-inl-h-vec.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>LiteModuleLoader Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-litemoduleloader-java-litemoduleloader.html</link>
      <description>Architecture documentation for the LiteModuleLoader class in LiteModuleLoader.java from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-litemoduleloader-java-litemoduleloader.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>LiteNativePeer Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-litenativepeer-java-litenativepeer.html</link>
      <description>Architecture documentation for the LiteNativePeer class in LiteNativePeer.java from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-litenativepeer-java-litenativepeer.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>_log_add_exp_helper Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-logaddexp-h-log-add-exp-helper.html</link>
      <description>Architecture documentation for the _log_add_exp_helper class in LogAddExp.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-logaddexp-h-log-add-exp-helper.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>_logcumsumexp_minmax Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-logaddexp-h-logcumsumexp-minmax.html</link>
      <description>Architecture documentation for the _logcumsumexp_minmax class in LogAddExp.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-logaddexp-h-logcumsumexp-minmax.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>BLOCK_SIZE Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-logsoftmaxkernelimpl-h-block-size.html</link>
      <description>Architecture documentation for the BLOCK_SIZE class in LogSoftmaxKernelImpl.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-logsoftmaxkernelimpl-h-block-size.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>is_same_v Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-logsoftmaxkernelimpl-h-is-same-v.html</link>
      <description>Architecture documentation for the is_same_v class in LogSoftmaxKernelImpl.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-logsoftmaxkernelimpl-h-is-same-v.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>scalar_t Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-logsoftmaxkernelimpl-h-scalar-t.html</link>
      <description>Architecture documentation for the scalar_t class in LogSoftmaxKernelImpl.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-logsoftmaxkernelimpl-h-scalar-t.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>serial_vec_log_softmax_lastdim_range Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-logsoftmaxkernelimpl-h-serial-vec-log-softmax-lastdim-range.html</link>
      <description>Architecture documentation for the serial_vec_log_softmax_lastdim_range class in LogSoftmaxKernelImpl.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-logsoftmaxkernelimpl-h-serial-vec-log-softmax-lastdim-range.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>vec_log_softmax_lastdim_chunk_size Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-logsoftmaxkernelimpl-h-vec-log-softmax-lastdim-chunk-size.html</link>
      <description>Architecture documentation for the vec_log_softmax_lastdim_chunk_size class in LogSoftmaxKernelImpl.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-logsoftmaxkernelimpl-h-vec-log-softmax-lastdim-chunk-size.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>arity Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-loops-h-arity.html</link>
      <description>Architecture documentation for the arity class in Loops.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-loops-h-arity.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>basic_loop Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-loops-h-basic-loop.html</link>
      <description>Architecture documentation for the basic_loop class in Loops.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-loops-h-basic-loop.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>check_dynamic_cast Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-loops-h-check-dynamic-cast.html</link>
      <description>Architecture documentation for the check_dynamic_cast class in Loops.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-loops-h-check-dynamic-cast.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>cpu_kernel_multiple_outputs Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-loops-h-cpu-kernel-multiple-outputs.html</link>
      <description>Architecture documentation for the cpu_kernel_multiple_outputs class in Loops.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-loops-h-cpu-kernel-multiple-outputs.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>cpu_kernel Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-loops-h-cpu-kernel.html</link>
      <description>Architecture documentation for the cpu_kernel class in Loops.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-loops-h-cpu-kernel.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>cpu_serial_kernel_vec Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-loops-h-cpu-serial-kernel-vec.html</link>
      <description>Architecture documentation for the cpu_serial_kernel_vec class in Loops.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-loops-h-cpu-serial-kernel-vec.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>cpu_serial_kernel Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-loops-h-cpu-serial-kernel.html</link>
      <description>Architecture documentation for the cpu_serial_kernel class in Loops.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-loops-h-cpu-serial-kernel.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>data Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-loops-h-data.html</link>
      <description>Architecture documentation for the data class in Loops.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-loops-h-data.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>dereference_vec Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-loops-h-dereference-vec.html</link>
      <description>Architecture documentation for the dereference_vec class in Loops.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-loops-h-dereference-vec.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
    </item>
    <item>
      <title>dereference Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-loops-h-dereference.html</link>
      <description>Architecture documentation for the dereference class in Loops.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-loops-h-dereference.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
    </item>
    <item>
      <title>execute_op Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-loops-h-execute-op.html</link>
      <description>Architecture documentation for the execute_op class in Loops.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-loops-h-execute-op.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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    <item>
      <title>handle_tuple_outputs Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-loops-h-handle-tuple-outputs.html</link>
      <description>Architecture documentation for the handle_tuple_outputs class in Loops.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-loops-h-handle-tuple-outputs.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
    </item>
    <item>
      <title>INDEX Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-loops-h-index.html</link>
      <description>Architecture documentation for the INDEX class in Loops.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-loops-h-index.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
    </item>
    <item>
      <title>INDEX0 Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-loops-h-index0.html</link>
      <description>Architecture documentation for the INDEX0 class in Loops.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-loops-h-index0.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
    </item>
    <item>
      <title>is_void_v Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-loops-h-is-void-v.html</link>
      <description>Architecture documentation for the is_void_v class in Loops.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-loops-h-is-void-v.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
    </item>
    <item>
      <title>make_vectorized_loop2d Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-loops-h-make-vectorized-loop2d.html</link>
      <description>Architecture documentation for the make_vectorized_loop2d class in Loops.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-loops-h-make-vectorized-loop2d.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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    <item>
      <title>multiple_outputs_loop Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-loops-h-multiple-outputs-loop.html</link>
      <description>Architecture documentation for the multiple_outputs_loop class in Loops.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-loops-h-multiple-outputs-loop.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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    <item>
      <title>unroll_contiguous_scalar_checks Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-loops-h-unroll-contiguous-scalar-checks.html</link>
      <description>Architecture documentation for the unroll_contiguous_scalar_checks class in Loops.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-loops-h-unroll-contiguous-scalar-checks.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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    <item>
      <title>vectorized_loop Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-loops-h-vectorized-loop.html</link>
      <description>Architecture documentation for the vectorized_loop class in Loops.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-loops-h-vectorized-loop.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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    <item>
      <title>ctc_loss_impl Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-lossctc-cpp-ctc-loss-impl.html</link>
      <description>Architecture documentation for the ctc_loss_impl class in LossCTC.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-lossctc-cpp-ctc-loss-impl.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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    <item>
      <title>get_target_prime Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-lossctc-cpp-get-target-prime.html</link>
      <description>Architecture documentation for the get_target_prime class in LossCTC.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-lossctc-cpp-get-target-prime.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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    <item>
      <title>target_scalar_type Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-lossctc-cpp-target-scalar-type.html</link>
      <description>Architecture documentation for the target_scalar_type class in LossCTC.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-lossctc-cpp-target-scalar-type.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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    <item>
      <title>multilabel_margin_loss_backward_out_frame Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-lossmultilabelmargin-cpp-multilabel-margin-loss-backward-out-frame.html</link>
      <description>Architecture documentation for the multilabel_margin_loss_backward_out_frame class in LossMultiLabelMargin.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-lossmultilabelmargin-cpp-multilabel-margin-loss-backward-out-frame.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>multilabel_margin_loss_forward_inner_sum_cpu Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-lossmultilabelmargin-cpp-multilabel-margin-loss-forward-inner-sum-cpu.html</link>
      <description>Architecture documentation for the multilabel_margin_loss_forward_inner_sum_cpu class in LossMultiLabelMargin.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-lossmultilabelmargin-cpp-multilabel-margin-loss-forward-inner-sum-cpu.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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    <item>
      <title>multilabel_margin_loss_forward_out_frame Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-lossmultilabelmargin-cpp-multilabel-margin-loss-forward-out-frame.html</link>
      <description>Architecture documentation for the multilabel_margin_loss_forward_out_frame class in LossMultiLabelMargin.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-lossmultilabelmargin-cpp-multilabel-margin-loss-forward-out-frame.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>multi_margin_inner_sum_cpu Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-lossmultimargin-cpp-multi-margin-inner-sum-cpu.html</link>
      <description>Architecture documentation for the multi_margin_inner_sum_cpu class in LossMultiMargin.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-lossmultimargin-cpp-multi-margin-inner-sum-cpu.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>multi_margin_loss_backward_cpu_kernel Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-lossmultimargin-cpp-multi-margin-loss-backward-cpu-kernel.html</link>
      <description>Architecture documentation for the multi_margin_loss_backward_cpu_kernel class in LossMultiMargin.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-lossmultimargin-cpp-multi-margin-loss-backward-cpu-kernel.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>multi_margin_loss_cpu_kernel Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-lossmultimargin-cpp-multi-margin-loss-cpu-kernel.html</link>
      <description>Architecture documentation for the multi_margin_loss_cpu_kernel class in LossMultiMargin.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-lossmultimargin-cpp-multi-margin-loss-cpu-kernel.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>nll_loss_backward_out_frame Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-lossnll-cpp-nll-loss-backward-out-frame.html</link>
      <description>Architecture documentation for the nll_loss_backward_out_frame class in LossNLL.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-lossnll-cpp-nll-loss-backward-out-frame.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>nll_loss_out_frame Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-lossnll-cpp-nll-loss-out-frame.html</link>
      <description>Architecture documentation for the nll_loss_out_frame class in LossNLL.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-lossnll-cpp-nll-loss-out-frame.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>optional_data Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-lossnll-cpp-optional-data.html</link>
      <description>Architecture documentation for the optional_data class in LossNLL.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-lossnll-cpp-optional-data.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>nll_loss2d_backward_out_frame Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-lossnll2d-cpp-nll-loss2d-backward-out-frame.html</link>
      <description>Architecture documentation for the nll_loss2d_backward_out_frame class in LossNLL2d.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-lossnll2d-cpp-nll-loss2d-backward-out-frame.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>nll_loss2d_forward_out_frame Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-lossnll2d-cpp-nll-loss2d-forward-out-frame.html</link>
      <description>Architecture documentation for the nll_loss2d_forward_out_frame class in LossNLL2d.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-lossnll2d-cpp-nll-loss2d-forward-out-frame.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>optional_data Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-lossnll2d-cpp-optional-data.html</link>
      <description>Architecture documentation for the optional_data class in LossNLL2d.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-lossnll2d-cpp-optional-data.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>lru_cache Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-lrucache-h-lru-cache.html</link>
      <description>Architecture documentation for the lru_cache class in LRUCache.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-lrucache-h-lru-cache.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>LstmPackedContext Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-lstm-h-lstmpackedcontext.html</link>
      <description>Architecture documentation for the LstmPackedContext class in Lstm.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-lstm-h-lstmpackedcontext.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>LUTMicrokernelTester Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-lut-microkernel-tester-h-lutmicrokerneltester.html</link>
      <description>Architecture documentation for the LUTMicrokernelTester class in lut-microkernel-tester.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-lut-microkernel-tester-h-lutmicrokerneltester.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>LUTNormMicrokernelTester Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-lut-norm-microkernel-tester-h-lutnormmicrokerneltester.html</link>
      <description>Architecture documentation for the LUTNormMicrokernelTester class in lut-norm-microkernel-tester.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-lut-norm-microkernel-tester-h-lutnormmicrokerneltester.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>AllowDeprecatedTypes Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-make-boxed-from-unboxed-functor-h-allowdeprecatedtypes.html</link>
      <description>Architecture documentation for the AllowDeprecatedTypes class in make_boxed_from_unboxed_functor.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-make-boxed-from-unboxed-functor-h-allowdeprecatedtypes.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>decay_if_not_tensor Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-make-boxed-from-unboxed-functor-h-decay-if-not-tensor.html</link>
      <description>Architecture documentation for the decay_if_not_tensor class in make_boxed_from_unboxed_functor.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-make-boxed-from-unboxed-functor-h-decay-if-not-tensor.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>indices Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-make-boxed-from-unboxed-functor-h-indices.html</link>
      <description>Architecture documentation for the indices class in make_boxed_from_unboxed_functor.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-make-boxed-from-unboxed-functor-h-indices.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>is_same_v Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-make-boxed-from-unboxed-functor-h-is-same-v.html</link>
      <description>Architecture documentation for the is_same_v class in make_boxed_from_unboxed_functor.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-make-boxed-from-unboxed-functor-h-is-same-v.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>KernelFunctor Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-make-boxed-from-unboxed-functor-h-kernelfunctor.html</link>
      <description>Architecture documentation for the KernelFunctor class in make_boxed_from_unboxed_functor.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-make-boxed-from-unboxed-functor-h-kernelfunctor.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>OperatorHandle Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-make-boxed-from-unboxed-functor-h-operatorhandle.html</link>
      <description>Architecture documentation for the OperatorHandle class in make_boxed_from_unboxed_functor.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-make-boxed-from-unboxed-functor-h-operatorhandle.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>Args Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-make-boxed-from-unboxed-functor-test-cpp-args.html</link>
      <description>Architecture documentation for the Args class in make_boxed_from_unboxed_functor_test.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-make-boxed-from-unboxed-functor-test-cpp-args.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>KernelWithCache Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-make-boxed-from-unboxed-functor-test-cpp-kernelwithcache.html</link>
      <description>Architecture documentation for the KernelWithCache class in make_boxed_from_unboxed_functor_test.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-make-boxed-from-unboxed-functor-test-cpp-kernelwithcache.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>KernelWithConstructorArg Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-make-boxed-from-unboxed-functor-test-cpp-kernelwithconstructorarg.html</link>
      <description>Architecture documentation for the KernelWithConstructorArg class in make_boxed_from_unboxed_functor_test.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-make-boxed-from-unboxed-functor-test-cpp-kernelwithconstructorarg.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>KernelWithMultipleConstructorArgs Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-make-boxed-from-unboxed-functor-test-cpp-kernelwithmultipleconstructorargs.html</link>
      <description>Architecture documentation for the KernelWithMultipleConstructorArgs class in make_boxed_from_unboxed_functor_test.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-make-boxed-from-unboxed-functor-test-cpp-kernelwithmultipleconstructorargs.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>Return Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-make-boxed-from-unboxed-functor-test-cpp-return.html</link>
      <description>Architecture documentation for the Return class in make_boxed_from_unboxed_functor_test.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-make-boxed-from-unboxed-functor-test-cpp-return.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>AdvanceRank Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-make-residual-last-h-advancerank.html</link>
      <description>Architecture documentation for the AdvanceRank class in make_residual_last.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-make-residual-last-h-advancerank.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>BaseIterator Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-make-residual-last-h-baseiterator.html</link>
      <description>Architecture documentation for the BaseIterator class in make_residual_last.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-make-residual-last-h-baseiterator.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>TORCH_API Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-mapallocator-h-torch-api.html</link>
      <description>Architecture documentation for the TORCH_API class in MapAllocator.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-mapallocator-h-torch-api.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>abs_impl Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-math-h-abs-impl.html</link>
      <description>Architecture documentation for the abs_impl class in Math.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-math-h-abs-impl.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>calc_gcd Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-math-h-calc-gcd.html</link>
      <description>Architecture documentation for the calc_gcd class in Math.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-math-h-calc-gcd.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>calc_i0 Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-math-h-calc-i0.html</link>
      <description>Architecture documentation for the calc_i0 class in Math.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-math-h-calc-i0.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>calc_i1 Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-math-h-calc-i1.html</link>
      <description>Architecture documentation for the calc_i1 class in Math.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-math-h-calc-i1.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>calc_i1e Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-math-h-calc-i1e.html</link>
      <description>Architecture documentation for the calc_i1e class in Math.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-math-h-calc-i1e.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>calc_igamma Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-math-h-calc-igamma.html</link>
      <description>Architecture documentation for the calc_igamma class in Math.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-math-h-calc-igamma.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>calc_igammac Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-math-h-calc-igammac.html</link>
      <description>Architecture documentation for the calc_igammac class in Math.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-math-h-calc-igammac.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>chbevl Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-math-h-chbevl.html</link>
      <description>Architecture documentation for the chbevl class in Math.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-math-h-chbevl.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>chebyshev_coefficients_i0e_A Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-math-h-chebyshev-coefficients-i0e-a.html</link>
      <description>Architecture documentation for the chebyshev_coefficients_i0e_A class in Math.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-math-h-chebyshev-coefficients-i0e-a.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>chebyshev_coefficients_i0e_B Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-math-h-chebyshev-coefficients-i0e-b.html</link>
      <description>Architecture documentation for the chebyshev_coefficients_i0e_B class in Math.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-math-h-chebyshev-coefficients-i0e-b.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>chebyshev_coefficients_i1e_A Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-math-h-chebyshev-coefficients-i1e-a.html</link>
      <description>Architecture documentation for the chebyshev_coefficients_i1e_A class in Math.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-math-h-chebyshev-coefficients-i1e-a.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>chebyshev_coefficients_i1e_B Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-math-h-chebyshev-coefficients-i1e-b.html</link>
      <description>Architecture documentation for the chebyshev_coefficients_i1e_B class in Math.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-math-h-chebyshev-coefficients-i1e-b.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>exp2_impl Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-math-h-exp2-impl.html</link>
      <description>Architecture documentation for the exp2_impl class in Math.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-math-h-exp2-impl.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>getHermitianLimit Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-math-h-gethermitianlimit.html</link>
      <description>Architecture documentation for the getHermitianLimit class in Math.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-math-h-gethermitianlimit.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>_igam_helper_asymptotic_series Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-math-h-igam-helper-asymptotic-series.html</link>
      <description>Architecture documentation for the _igam_helper_asymptotic_series class in Math.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-math-h-igam-helper-asymptotic-series.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>_igam_helper_fac Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-math-h-igam-helper-fac.html</link>
      <description>Architecture documentation for the _igam_helper_fac class in Math.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-math-h-igam-helper-fac.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>_igam_helper_series Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-math-h-igam-helper-series.html</link>
      <description>Architecture documentation for the _igam_helper_series class in Math.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-math-h-igam-helper-series.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>_igamc_helper_continued_fraction Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-math-h-igamc-helper-continued-fraction.html</link>
      <description>Architecture documentation for the _igamc_helper_continued_fraction class in Math.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-math-h-igamc-helper-continued-fraction.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>_igamc_helper_series Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-math-h-igamc-helper-series.html</link>
      <description>Architecture documentation for the _igamc_helper_series class in Math.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-math-h-igamc-helper-series.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>is_cuda Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-math-h-is-cuda.html</link>
      <description>Architecture documentation for the is_cuda class in Math.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-math-h-is-cuda.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>lanczos_sum_expg_scaled Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-math-h-lanczos-sum-expg-scaled.html</link>
      <description>Architecture documentation for the lanczos_sum_expg_scaled class in Math.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-math-h-lanczos-sum-expg-scaled.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>maybe_unused Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-math-h-maybe-unused.html</link>
      <description>Architecture documentation for the maybe_unused class in Math.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-math-h-maybe-unused.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>ratevl Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-math-h-ratevl.html</link>
      <description>Architecture documentation for the ratevl class in Math.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-math-h-ratevl.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>std Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-math-h-std.html</link>
      <description>Architecture documentation for the std class in Math.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-math-h-std.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>is_same_v Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-matmul-cpp-is-same-v.html</link>
      <description>Architecture documentation for the is_same_v class in Matmul.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-matmul-cpp-is-same-v.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>make_ideep_tensor Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-matmul-cpp-make-ideep-tensor.html</link>
      <description>Architecture documentation for the make_ideep_tensor class in Matmul.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-matmul-cpp-make-ideep-tensor.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>mkldnn_gemm Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-matmul-cpp-mkldnn-gemm.html</link>
      <description>Architecture documentation for the mkldnn_gemm class in Matmul.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-matmul-cpp-mkldnn-gemm.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>MatrixRef Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-matrixref-h-matrixref.html</link>
      <description>Architecture documentation for the MatrixRef class in MatrixRef.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-matrixref-h-matrixref.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>Temporary Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-matrixref-h-temporary.html</link>
      <description>Architecture documentation for the Temporary class in MatrixRef.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-matrixref-h-temporary.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>MaxPoolingOperatorTester Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-max-pooling-operator-tester-h-maxpoolingoperatortester.html</link>
      <description>Architecture documentation for the MaxPoolingOperatorTester class in max-pooling-operator-tester.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-max-pooling-operator-tester-h-maxpoolingoperatortester.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-maxpool-microkernel-tester-h-maxpoolmicrokerneltester.html</link>
      <description>Architecture documentation for the MaxPoolMicrokernelTester class in maxpool-microkernel-tester.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-maxpool-microkernel-tester-h-maxpoolmicrokerneltester.html</guid>
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      <title>max_pool1d_kernel Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-maxpooling-cpp-max-pool1d-kernel.html</link>
      <description>Architecture documentation for the max_pool1d_kernel class in MaxPooling.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-maxpooling-cpp-max-pool1d-kernel.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-maxpoolkernel-cpp-compute-internal.html</link>
      <description>Architecture documentation for the compute_internal class in MaxPoolKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-maxpoolkernel-cpp-compute-internal.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-maxpoolkernel-cpp-is-3d.html</link>
      <description>Architecture documentation for the is_3d class in MaxPoolKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-maxpoolkernel-cpp-is-3d.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-maxpoolkernel-cpp-is-nan-vec.html</link>
      <description>Architecture documentation for the is_nan_vec class in MaxPoolKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-maxpoolkernel-cpp-is-nan-vec.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-maxpoolkernel-cpp-is-nan.html</link>
      <description>Architecture documentation for the is_nan class in MaxPoolKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-maxpoolkernel-cpp-is-nan.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-maxpoolkernel-cpp-is-same-v.html</link>
      <description>Architecture documentation for the is_same_v class in MaxPoolKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-maxpoolkernel-cpp-is-same-v.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-maxunpoolkernel-cpp-cpu-max-unpool-channels-last.html</link>
      <description>Architecture documentation for the cpu_max_unpool_channels_last class in MaxUnpoolKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-maxunpoolkernel-cpp-cpu-max-unpool-channels-last.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-maxunpoolkernel-cpp-is-3d.html</link>
      <description>Architecture documentation for the is_3d class in MaxUnpoolKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-maxunpoolkernel-cpp-is-3d.html</guid>
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      <title>Tensor Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-maxunpoolkernel-h-tensor.html</link>
      <description>Architecture documentation for the Tensor class in MaxUnpoolKernel.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-maxunpoolkernel-h-tensor.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-maybeowned-test-cpp-assertborrow.html</link>
      <description>Architecture documentation for the assertBorrow class in MaybeOwned_test.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-maybeowned-test-cpp-assertborrow.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-maybeowned-test-cpp-assertown.html</link>
      <description>Architecture documentation for the assertOwn class in MaybeOwned_test.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-maybeowned-test-cpp-assertown.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-maybeowned-test-cpp-borrowfrom.html</link>
      <description>Architecture documentation for the borrowFrom class in MaybeOwned_test.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-maybeowned-test-cpp-borrowfrom.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-maybeowned-test-cpp-getsamplevalue.html</link>
      <description>Architecture documentation for the getSampleValue class in MaybeOwned_test.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-maybeowned-test-cpp-getsamplevalue.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-maybeowned-test-cpp-getsamplevalue2.html</link>
      <description>Architecture documentation for the getSampleValue2 class in MaybeOwned_test.cpp from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-maybeowned-test-cpp-maybeownedtest.html</link>
      <description>Architecture documentation for the MaybeOwnedTest class in MaybeOwned_test.cpp from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-maybeowned-test-cpp-setup.html</link>
      <description>Architecture documentation for the SetUp class in MaybeOwned_test.cpp from the pytorch codebase.</description>
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      <title>TensorBase Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-memoryoverlap-h-tensorbase.html</link>
      <description>Architecture documentation for the TensorBase class in MemoryOverlap.h from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-metalprepackopcontext-h-conv2dopcontext.html</link>
      <description>Architecture documentation for the Conv2dOpContext class in MetalPrepackOpContext.h from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-metalprepackopcontext-h-linearopcontext.html</link>
      <description>Architecture documentation for the LinearOpContext class in MetalPrepackOpContext.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-metalprepackopcontext-h-linearopcontext.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>check Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-metalshaderlibrary-h-check.html</link>
      <description>Architecture documentation for the check class in MetalShaderLibrary.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-metalshaderlibrary-h-check.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>DynamicMetalShaderLibrary Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-metalshaderlibrary-h-dynamicmetalshaderlibrary.html</link>
      <description>Architecture documentation for the DynamicMetalShaderLibrary class in MetalShaderLibrary.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-metalshaderlibrary-h-dynamicmetalshaderlibrary.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>exec_binary_kernel_with_params Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-metalshaderlibrary-h-exec-binary-kernel-with-params.html</link>
      <description>Architecture documentation for the exec_binary_kernel_with_params class in MetalShaderLibrary.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-metalshaderlibrary-h-exec-binary-kernel-with-params.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>exec_unary_kernel_with_params Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-metalshaderlibrary-h-exec-unary-kernel-with-params.html</link>
      <description>Architecture documentation for the exec_unary_kernel_with_params class in MetalShaderLibrary.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-metalshaderlibrary-h-exec-unary-kernel-with-params.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>has_size_type_v Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-metalshaderlibrary-h-has-size-type-v.html</link>
      <description>Architecture documentation for the has_size_type_v class in MetalShaderLibrary.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-metalshaderlibrary-h-has-size-type-v.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>has_size_type Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-metalshaderlibrary-h-has-size-type.html</link>
      <description>Architecture documentation for the has_size_type class in MetalShaderLibrary.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-metalshaderlibrary-h-has-size-type.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>is_integral_v Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-metalshaderlibrary-h-is-integral-v.html</link>
      <description>Architecture documentation for the is_integral_v class in MetalShaderLibrary.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-metalshaderlibrary-h-is-integral-v.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>MetalKernelFunction Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-metalshaderlibrary-h-metalkernelfunction.html</link>
      <description>Architecture documentation for the MetalKernelFunction class in MetalShaderLibrary.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-metalshaderlibrary-h-metalkernelfunction.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>MetalShaderLibrary Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-metalshaderlibrary-h-metalshaderlibrary.html</link>
      <description>Architecture documentation for the MetalShaderLibrary class in MetalShaderLibrary.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-metalshaderlibrary-h-metalshaderlibrary.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>setArg Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-metalshaderlibrary-h-setarg.html</link>
      <description>Architecture documentation for the setArg class in MetalShaderLibrary.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-metalshaderlibrary-h-setarg.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>TensorBase Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-metalshaderlibrary-h-tensorbase.html</link>
      <description>Architecture documentation for the TensorBase class in MetalShaderLibrary.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-metalshaderlibrary-h-tensorbase.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>MetalTensorImpl Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-metaltensorimpl-h-metaltensorimpl.html</link>
      <description>Architecture documentation for the MetalTensorImpl class in MetalTensorImpl.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-metaltensorimpl-h-metaltensorimpl.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>Impl Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-metaltensorimplstorage-h-impl.html</link>
      <description>Architecture documentation for the Impl class in MetalTensorImplStorage.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-metaltensorimplstorage-h-impl.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>MetalTensorImplStorage Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-metaltensorimplstorage-h-metaltensorimplstorage.html</link>
      <description>Architecture documentation for the MetalTensorImplStorage class in MetalTensorImplStorage.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-metaltensorimplstorage-h-metaltensorimplstorage.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>MPSImageWrapper Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-metaltensorimplstorage-h-mpsimagewrapper.html</link>
      <description>Architecture documentation for the MPSImageWrapper class in MetalTensorImplStorage.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-metaltensorimplstorage-h-mpsimagewrapper.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>try_emplace Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-mha-cpp-try-emplace.html</link>
      <description>Architecture documentation for the try_emplace class in MHA.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-mha-cpp-try-emplace.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>MicroBenchmarks Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-microbench-py-microbenchmarks.html</link>
      <description>Architecture documentation for the MicroBenchmarks class in microbench.py from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-microbench-py-microbenchmarks.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>MyModel1 Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-microbench-py-mymodel1.html</link>
      <description>Architecture documentation for the MyModel1 class in microbench.py from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-microbench-py-mymodel1.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>MyModel2 Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-microbench-py-mymodel2.html</link>
      <description>Architecture documentation for the MyModel2 class in microbench.py from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-microbench-py-mymodel2.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>pin_memory Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-miscutils-h-pin-memory.html</link>
      <description>Architecture documentation for the pin_memory class in MiscUtils.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-miscutils-h-pin-memory.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>check_mixed_data_type Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-mixed-data-type-h-check-mixed-data-type.html</link>
      <description>Architecture documentation for the check_mixed_data_type class in mixed_data_type.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-mixed-data-type-h-check-mixed-data-type.html</guid>
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      <title>first_type Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-mixed-data-type-h-first-type.html</link>
      <description>Architecture documentation for the first_type class in mixed_data_type.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-mixed-data-type-h-first-type.html</guid>
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      <title>is_mixed_type Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-mixed-data-type-h-is-mixed-type.html</link>
      <description>Architecture documentation for the is_mixed_type class in mixed_data_type.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-mixed-data-type-h-is-mixed-type.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>TypeB Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-mixed-gemm-b-layout-h-typeb.html</link>
      <description>Architecture documentation for the TypeB class in mixed_gemm_B_layout.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-mixed-gemm-b-layout-h-typeb.html</guid>
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      <title>value Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-mixed-gemm-b-layout-h-value.html</link>
      <description>Architecture documentation for the value class in mixed_gemm_B_layout.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-mixed-gemm-b-layout-h-value.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>IntrusivePtrTargetWrapper Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-mkldnncommon-cpp-intrusiveptrtargetwrapper.html</link>
      <description>Architecture documentation for the IntrusivePtrTargetWrapper class in MKLDNNCommon.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-mkldnncommon-cpp-intrusiveptrtargetwrapper.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>LinearPackedContext Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-mm-h-linearpackedcontext.html</link>
      <description>Architecture documentation for the LinearPackedContext class in Mm.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-mm-h-linearpackedcontext.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>stage_pack_weights Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-mm-h-stage-pack-weights.html</link>
      <description>Architecture documentation for the stage_pack_weights class in Mm.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-mm-h-stage-pack-weights.html</guid>
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      <title>bool Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-mma-accum-lambda-iterator-h-bool.html</link>
      <description>Architecture documentation for the bool class in mma_accum_lambda_iterator.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-mma-accum-lambda-iterator-h-bool.html</guid>
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      <title>kWarpSize Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-mma-accum-lambda-iterator-h-kwarpsize.html</link>
      <description>Architecture documentation for the kWarpSize class in mma_accum_lambda_iterator.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-mma-accum-lambda-iterator-h-kwarpsize.html</guid>
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      <title>void Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-mma-accum-lambda-iterator-h-void.html</link>
      <description>Architecture documentation for the void class in mma_accum_lambda_iterator.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-mma-accum-lambda-iterator-h-void.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>accumToSmem Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-mma-from-smem-h-accumtosmem.html</link>
      <description>Architecture documentation for the accumToSmem class in mma_from_smem.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-mma-from-smem-h-accumtosmem.html</guid>
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      <title>AccumulatorSharedStorage Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-mma-from-smem-h-accumulatorsharedstorage.html</link>
      <description>Architecture documentation for the AccumulatorSharedStorage class in mma_from_smem.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-mma-from-smem-h-accumulatorsharedstorage.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-mma-from-smem-h-apply.html</link>
      <description>Architecture documentation for the apply class in mma_from_smem.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-mma-from-smem-h-apply.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-mma-from-smem-h-cacheopa.html</link>
      <description>Architecture documentation for the CacheOpA class in mma_from_smem.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-mma-from-smem-h-cacheopa.html</guid>
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      <title>FragmentElementwiseScaler Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-mma-from-smem-h-fragmentelementwisescaler.html</link>
      <description>Architecture documentation for the FragmentElementwiseScaler class in mma_from_smem.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-mma-from-smem-h-fragmentelementwisescaler.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-mma-from-smem-h-iteratorc.html</link>
      <description>Architecture documentation for the IteratorC class in mma_from_smem.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-mma-from-smem-h-iteratorc.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-mma-from-smem-h-km.html</link>
      <description>Architecture documentation for the kM class in mma_from_smem.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-mma-from-smem-h-km.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-mma-from-smem-h-kmaxk-2.html</link>
      <description>Architecture documentation for the kMaxK class in mma_from_smem.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-mma-from-smem-h-kmaxk-2.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-mma-from-smem-h-kmaxk.html</link>
      <description>Architecture documentation for the kMaxK_ class in mma_from_smem.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-mma-from-smem-h-kmaxk.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-mma-from-smem-h-matrixshape.html</link>
      <description>Architecture documentation for the MatrixShape class in mma_from_smem.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-mma-from-smem-h-matrixshape.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-mma-from-smem-h-mmabasefromsharedmemory.html</link>
      <description>Architecture documentation for the MmaBaseFromSharedMemory class in mma_from_smem.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-mma-from-smem-h-mmabasefromsharedmemory.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-mma-from-smem-h-mmamultistagefromsharedmemory.html</link>
      <description>Architecture documentation for the MmaMultistageFromSharedMemory class in mma_from_smem.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-mma-from-smem-h-mmamultistagefromsharedmemory.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-mma-from-smem-h-mmapipelinedfromsharedmemory.html</link>
      <description>Architecture documentation for the MmaPipelinedFromSharedMemory class in mma_from_smem.h from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-mma-from-smem-h-noopwarpiteratorscale.html</link>
      <description>Architecture documentation for the NoOpWarpIteratorScale class in mma_from_smem.h from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-mma-from-smem-h-scaleoperanda.html</link>
      <description>Architecture documentation for the ScaleOperandA_ class in mma_from_smem.h from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-mma-from-smem-h-scalingenabled.html</link>
      <description>Architecture documentation for the ScalingEnabled class in mma_from_smem.h from the pytorch codebase.</description>
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      <title>SharedStorage Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-mma-from-smem-h-sharedstorage.html</link>
      <description>Architecture documentation for the SharedStorage class in mma_from_smem.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-mma-from-smem-h-sharedstorage.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>MmaTensorOpComputeBWithF16 Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-mma-tensorop-compute-b-with-f16-h-mmatensoropcomputebwithf16.html</link>
      <description>Architecture documentation for the MmaTensorOpComputeBWithF16 class in mma_tensorop_compute_B_with_f16.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-mma-tensorop-compute-b-with-f16-h-mmatensoropcomputebwithf16.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>PartitionsK_ Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-mma-tensorop-compute-b-with-f16-h-partitionsk.html</link>
      <description>Architecture documentation for the PartitionsK_ class in mma_tensorop_compute_B_with_f16.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-mma-tensorop-compute-b-with-f16-h-partitionsk.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>MmaTensorOpDequantizer Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-mma-tensorop-dequantizer-h-mmatensoropdequantizer.html</link>
      <description>Architecture documentation for the MmaTensorOpDequantizer class in mma_tensorop_dequantizer.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-mma-tensorop-dequantizer-h-mmatensoropdequantizer.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>Operand Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-mma-tensorop-dequantizer-h-operand.html</link>
      <description>Architecture documentation for the Operand class in mma_tensorop_dequantizer.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-mma-tensorop-dequantizer-h-operand.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>value Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-mma-tensorop-dequantizer-h-value.html</link>
      <description>Architecture documentation for the value class in mma_tensorop_dequantizer.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-mma-tensorop-dequantizer-h-value.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>Module Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-module-java-module.html</link>
      <description>Architecture documentation for the Module class in Module.java from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-module-java-module.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>AddMoments Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-moments-utils-h-addmoments.html</link>
      <description>Architecture documentation for the AddMoments class in moments_utils.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-moments-utils-h-addmoments.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>is_same_v Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-moments-utils-h-is-same-v.html</link>
      <description>Architecture documentation for the is_same_v class in moments_utils.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-moments-utils-h-is-same-v.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>kMaxDepth Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-moments-utils-h-kmaxdepth.html</link>
      <description>Architecture documentation for the kMaxDepth class in moments_utils.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-moments-utils-h-kmaxdepth.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>RowwiseMoments Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-moments-utils-h-rowwisemoments.html</link>
      <description>Architecture documentation for the RowwiseMoments class in moments_utils.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-moments-utils-h-rowwisemoments.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>void Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-moments-utils-h-void.html</link>
      <description>Architecture documentation for the void class in moments_utils.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-moments-utils-h-void.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>ReplayBufferCleaner Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-mps-test-allocator-cpp-replaybuffercleaner.html</link>
      <description>Architecture documentation for the ReplayBufferCleaner class in mps_test_allocator.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-mps-test-allocator-cpp-replaybuffercleaner.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>MPSHeapAllocatorImpl Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-mpsallocator-h-mpsheapallocatorimpl.html</link>
      <description>Architecture documentation for the MPSHeapAllocatorImpl class in MPSAllocator.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-mpsallocator-h-mpsheapallocatorimpl.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>IMPSAllocator Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-mpsallocatorinterface-h-impsallocator.html</link>
      <description>Architecture documentation for the IMPSAllocator class in MPSAllocatorInterface.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-mpsallocatorinterface-h-impsallocator.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>IMpsAllocatorCallback Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-mpsallocatorinterface-h-impsallocatorcallback.html</link>
      <description>Architecture documentation for the IMpsAllocatorCallback class in MPSAllocatorInterface.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-mpsallocatorinterface-h-impsallocatorcallback.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>TORCH_API Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-mpsdevice-h-torch-api.html</link>
      <description>Architecture documentation for the TORCH_API class in MPSDevice.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-mpsdevice-h-torch-api.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>MPSEvent Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-mpsevent-h-mpsevent.html</link>
      <description>Architecture documentation for the MPSEvent class in MPSEvent.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-mpsevent-h-mpsevent.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>MPSEventPool Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-mpsevent-h-mpseventpool.html</link>
      <description>Architecture documentation for the MPSEventPool class in MPSEvent.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-mpsevent-h-mpseventpool.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>API_AVAILABLE Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-mpsimagewrapper-h-api-available.html</link>
      <description>Architecture documentation for the API_AVAILABLE class in MPSImageWrapper.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-mpsimagewrapper-h-api-available.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>MPSProfiler Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-mpsprofiler-h-mpsprofiler.html</link>
      <description>Architecture documentation for the MPSProfiler class in MPSProfiler.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-mpsprofiler-h-mpsprofiler.html</guid>
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      <title>TORCH_API Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-mpsstream-h-torch-api.html</link>
      <description>Architecture documentation for the TORCH_API class in MPSStream.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-mpsstream-h-torch-api.html</guid>
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      <title>mt19937_engine Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-mt19937rngengine-h-mt19937-engine.html</link>
      <description>Architecture documentation for the mt19937_engine class in MT19937RNGEngine.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-mt19937rngengine-h-mt19937-engine.html</guid>
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      <title>Context Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-mtiahooksinterface-h-context.html</link>
      <description>Architecture documentation for the Context class in MTIAHooksInterface.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-mtiahooksinterface-h-context.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>is_reduced_floating_point_v Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-multinomialkernel-cpp-is-reduced-floating-point-v.html</link>
      <description>Architecture documentation for the is_reduced_floating_point_v class in MultinomialKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-multinomialkernel-cpp-is-reduced-floating-point-v.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>multinomial_with_replacement_apply Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-multinomialkernel-cpp-multinomial-with-replacement-apply.html</link>
      <description>Architecture documentation for the multinomial_with_replacement_apply class in MultinomialKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-multinomialkernel-cpp-multinomial-with-replacement-apply.html</guid>
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      <title>computeEncoder Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-multitensorapply-h-computeencoder.html</link>
      <description>Architecture documentation for the computeEncoder class in MultiTensorApply.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-multitensorapply-h-computeencoder.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>depth Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-multitensorapply-h-depth.html</link>
      <description>Architecture documentation for the depth class in MultiTensorApply.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-multitensorapply-h-depth.html</guid>
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      <title>momentum Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-multitensorapply-h-momentum.html</link>
      <description>Architecture documentation for the momentum class in MultiTensorApply.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-multitensorapply-h-momentum.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-naivedilatedconvolution-cpp-dim.html</link>
      <description>Architecture documentation for the dim class in NaiveDilatedConvolution.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-naivedilatedconvolution-cpp-dim.html</guid>
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      <title>TensorBase Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-namedtensor-h-tensorbase.html</link>
      <description>Architecture documentation for the TensorBase class in NamedTensor.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-namedtensor-h-tensorbase.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-nativemultiheadattnkernel-cpp-cpu-transform-bias-rescale-qkv.html</link>
      <description>Architecture documentation for the cpu_transform_bias_rescale_qkv class in NativeMultiheadAttnKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-nativemultiheadattnkernel-cpp-cpu-transform-bias-rescale-qkv.html</guid>
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      <title>NativePeer Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-nativepeer-java-nativepeer.html</link>
      <description>Architecture documentation for the NativePeer class in NativePeer.java from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-nativepeer-java-nativepeer.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-nestedintsymnodeimpl-h-torch-api.html</link>
      <description>Architecture documentation for the TORCH_API class in NestedIntSymNodeImpl.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-nestedintsymnodeimpl-h-torch-api.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-nestedtensorbinaryops-cpp-nestedtensor-elementwise-tensor-2.html</link>
      <description>Architecture documentation for the NestedTensor_elementwise__Tensor class in NestedTensorBinaryOps.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-nestedtensorbinaryops-cpp-nestedtensor-elementwise-tensor-2.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-nestedtensorbinaryops-cpp-nestedtensor-elementwise-tensor.html</link>
      <description>Architecture documentation for the NestedTensor_elementwise_Tensor class in NestedTensorBinaryOps.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-nestedtensorbinaryops-cpp-nestedtensor-elementwise-tensor.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-nestedtensorimpl-cpp-shallow-copy-and-detach-core.html</link>
      <description>Architecture documentation for the shallow_copy_and_detach_core class in NestedTensorImpl.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-nestedtensorimpl-cpp-shallow-copy-and-detach-core.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-nestedtensorimpl-h-shallow-copy-and-detach-core.html</link>
      <description>Architecture documentation for the shallow_copy_and_detach_core class in NestedTensorImpl.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-nestedtensorimpl-h-shallow-copy-and-detach-core.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-nestedtensormath-h-map-nt-binary.html</link>
      <description>Architecture documentation for the map_nt_binary class in NestedTensorMath.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-nestedtensormath-h-map-nt-binary.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-nestedtensormath-h-map-nt.html</link>
      <description>Architecture documentation for the map_nt class in NestedTensorMath.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-nestedtensormath-h-map-nt.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-nestedtensortransformerfunctions-h-add-padding-kernellauncher.html</link>
      <description>Architecture documentation for the add_padding_kernelLauncher class in NestedTensorTransformerFunctions.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-nestedtensortransformerfunctions-h-add-padding-kernellauncher.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-nestedtensortransformerfunctions-h-remove-padding-kernellauncher.html</link>
      <description>Architecture documentation for the remove_padding_kernelLauncher class in NestedTensorTransformerFunctions.h from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-nestedtensortransformerfunctions-h-remove-padding-transform0213-kernellauncher.html</link>
      <description>Architecture documentation for the remove_padding_transform0213_kernelLauncher class in NestedTensorTransformerFunctions.h from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-nestedtensortransformerfunctions-h-scalar.html</link>
      <description>Architecture documentation for the Scalar class in NestedTensorTransformerFunctions.h from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-nestedtensortransformerfunctions-h-tensor.html</link>
      <description>Architecture documentation for the Tensor class in NestedTensorTransformerFunctions.h from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-nestedtensorutils-h-fn.html</link>
      <description>Architecture documentation for the fn class in NestedTensorUtils.h from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-nestedtensorutils-h-get-padding-value.html</link>
      <description>Architecture documentation for the _get_padding_value class in NestedTensorUtils.h from the pytorch codebase.</description>
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      <title>map Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-nestedtensorutils-h-map-2.html</link>
      <description>Architecture documentation for the map class in NestedTensorUtils.h from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-nestedtensorutils-h-map-nested-tensor.html</link>
      <description>Architecture documentation for the map_nested_tensor class in NestedTensorUtils.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-nestedtensorutils-h-map-nested-tensor.html</guid>
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      <title>_map Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-nestedtensorutils-h-map.html</link>
      <description>Architecture documentation for the _map class in NestedTensorUtils.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-nestedtensorutils-h-map.html</guid>
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      <title>NestedNode Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-nestedtensorutils-h-nestednode.html</link>
      <description>Architecture documentation for the NestedNode class in NestedTensorUtils.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-nestedtensorutils-h-nestednode.html</guid>
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      <title>batch_norm_backward_cpu_template Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-normalization-cpp-batch-norm-backward-cpu-template.html</link>
      <description>Architecture documentation for the batch_norm_backward_cpu_template class in Normalization.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-normalization-cpp-batch-norm-backward-cpu-template.html</guid>
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      <title>batch_norm_cpu_transform_input_template Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-normalization-cpp-batch-norm-cpu-transform-input-template.html</link>
      <description>Architecture documentation for the batch_norm_cpu_transform_input_template class in Normalization.cpp from the pytorch codebase.</description>
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      <title>batch_norm_cpu_update_stats_template Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-normalization-cpp-batch-norm-cpu-update-stats-template.html</link>
      <description>Architecture documentation for the batch_norm_cpu_update_stats_template class in Normalization.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-normalization-cpp-batch-norm-cpu-update-stats-template.html</guid>
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      <title>ReluFused Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-normalization-cpp-relufused.html</link>
      <description>Architecture documentation for the ReluFused class in Normalization.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-normalization-cpp-relufused.html</guid>
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      <title>var Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-normalization-cpp-var.html</link>
      <description>Architecture documentation for the var class in Normalization.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-normalization-cpp-var.html</guid>
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      <title>bool Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-numericutils-h-bool.html</link>
      <description>Architecture documentation for the bool class in NumericUtils.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-numericutils-h-bool.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-numericutils-h-double.html</link>
      <description>Architecture documentation for the double class in NumericUtils.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-numericutils-h-double.html</guid>
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      <title>log1p Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-numericutils-h-log1p.html</link>
      <description>Architecture documentation for the log1p class in NumericUtils.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-numericutils-h-log1p.html</guid>
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      <title>kSpatialDim Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-onednnutils-h-kspatialdim.html</link>
      <description>Architecture documentation for the kSpatialDim class in OnednnUtils.h from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-onednnutils-h-post-op.html</link>
      <description>Architecture documentation for the post_op class in OnednnUtils.h from the pytorch codebase.</description>
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      <title>ReluFused Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-onednnutils-h-relufused.html</link>
      <description>Architecture documentation for the ReluFused class in OnednnUtils.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-onednnutils-h-relufused.html</guid>
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      <title>catchAllKernel Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-op-registration-h-catchallkernel.html</link>
      <description>Architecture documentation for the catchAllKernel class in op_registration.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-op-registration-h-catchallkernel.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-op-registration-h-inferfunctionschemafromfunctor.html</link>
      <description>Architecture documentation for the inferFunctionSchemaFromFunctor class in op_registration.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-op-registration-h-inferfunctionschemafromfunctor.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-op-registration-h-kernel-func.html</link>
      <description>Architecture documentation for the kernel_func class in op_registration.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-op-registration-h-kernel-func.html</guid>
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      <title>kernel Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-op-registration-h-kernel.html</link>
      <description>Architecture documentation for the kernel class in op_registration.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-op-registration-h-kernel.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-op-registration-h-registeroperators.html</link>
      <description>Architecture documentation for the RegisterOperators class in op_registration.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-op-registration-h-registeroperators.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-op-registration-h-torch-api.html</link>
      <description>Architecture documentation for the TORCH_API class in op_registration.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-op-registration-h-torch-api.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-op-registration-h-value.html</link>
      <description>Architecture documentation for the value class in op_registration.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-op-registration-h-value.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-op-registration-test-cpp-argtypetestkernel.html</link>
      <description>Architecture documentation for the ArgTypeTestKernel class in op_registration_test.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-op-registration-test-cpp-argtypetestkernel.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-op-registration-test-cpp-test.html</link>
      <description>Architecture documentation for the test class in op_registration_test.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-op-registration-test-cpp-test.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-opaquetensorimpl-h-opaquetensorimpl.html</link>
      <description>Architecture documentation for the OpaqueTensorImpl class in OpaqueTensorImpl.h from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-opcontext-h-conv2dopcontext.html</link>
      <description>Architecture documentation for the Conv2dOpContext class in OpContext.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-opcontext-h-conv2dopcontext.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-opcontext-h-convopcontext.html</link>
      <description>Architecture documentation for the ConvOpContext class in OpContext.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-opcontext-h-convopcontext.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-opcontext-h-linearopcontext.html</link>
      <description>Architecture documentation for the LinearOpContext class in OpContext.h from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-opcontext-h-mkldnnconvopcontext.html</link>
      <description>Architecture documentation for the MkldnnConvOpContext class in OpContext.h from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-opcontext-h-transposeconv2dopcontext.html</link>
      <description>Architecture documentation for the TransposeConv2dOpContext class in OpContext.h from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-opcontext-h-xnnpackconv2dopcontext.html</link>
      <description>Architecture documentation for the XNNPackConv2dOpContext class in OpContext.h from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-opcontext-h-xnnpacklinearopcontext.html</link>
      <description>Architecture documentation for the XNNPackLinearOpContext class in OpContext.h from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-opcontext-h-xnnpacktransposeconv2dopcontext.html</link>
      <description>Architecture documentation for the XNNPackTransposeConv2dOpContext class in OpContext.h from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-operationutils-h-as.html</link>
      <description>Architecture documentation for the as class in OperationUtils.h from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-operationutils-h-createcachedgraphas.html</link>
      <description>Architecture documentation for the CreateCachedGraphAs class in OperationUtils.h from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-operationutils-h-createcachedkernelas.html</link>
      <description>Architecture documentation for the CreateCachedKernelAs class in OperationUtils.h from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-operationutils-h-exec-unary-kernel-with-params.html</link>
      <description>Architecture documentation for the exec_unary_kernel_with_params class in OperationUtils.h from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-operationutils-h-idx.html</link>
      <description>Architecture documentation for the idx class in OperationUtils.h from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-operationutils-h-is-integral-v.html</link>
      <description>Architecture documentation for the is_integral_v class in OperationUtils.h from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-operationutils-h-is-same-v.html</link>
      <description>Architecture documentation for the is_same_v class in OperationUtils.h from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-operationutils-h-kernel.html</link>
      <description>Architecture documentation for the kernel class in OperationUtils.h from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-operationutils-h-lookupas.html</link>
      <description>Architecture documentation for the LookUpAs class in OperationUtils.h from the pytorch codebase.</description>
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      <title>getPythonOp Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-operatorentry-h-getpythonop.html</link>
      <description>Architecture documentation for the getPythonOp class in OperatorEntry.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-operatorentry-h-getpythonop.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>TORCH_API Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-operatorentry-h-torch-api.html</link>
      <description>Architecture documentation for the TORCH_API class in OperatorEntry.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-operatorentry-h-torch-api.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>Func Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-operators-test-cpp-func.html</link>
      <description>Architecture documentation for the Func class in operators_test.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-operators-test-cpp-func.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>OpMathType Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-opmathtype-h-opmathtype.html</link>
      <description>Architecture documentation for the OpMathType class in OpMathType.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-opmathtype-h-opmathtype.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>scalar_t Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-opmathtype-h-scalar-t.html</link>
      <description>Architecture documentation for the scalar_t class in OpMathType.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-opmathtype-h-scalar-t.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>col_indices_data_ptr Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-pack-block-sparse-h-col-indices-data-ptr.html</link>
      <description>Architecture documentation for the col_indices_data_ptr class in pack_block_sparse.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-pack-block-sparse-h-col-indices-data-ptr.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>generateBlockCSRMatrix Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-pack-block-sparse-h-generateblockcsrmatrix.html</link>
      <description>Architecture documentation for the generateBlockCSRMatrix class in pack_block_sparse.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-pack-block-sparse-h-generateblockcsrmatrix.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>INDICES_DTYPE Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-pack-block-sparse-h-indices-dtype.html</link>
      <description>Architecture documentation for the INDICES_DTYPE class in pack_block_sparse.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-pack-block-sparse-h-indices-dtype.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>max_index Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-pack-block-sparse-h-max-index.html</link>
      <description>Architecture documentation for the max_index class in pack_block_sparse.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-pack-block-sparse-h-max-index.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>print Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-pack-block-sparse-h-print.html</link>
      <description>Architecture documentation for the print class in pack_block_sparse.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-pack-block-sparse-h-print.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>pytorch_qnnp_sparse_matrix_indices_dtype_uint16_t Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-pack-block-sparse-h-pytorch-qnnp-sparse-matrix-indices-dtype-uint16-t.html</link>
      <description>Architecture documentation for the pytorch_qnnp_sparse_matrix_indices_dtype_uint16_t class in pack_block_sparse.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-pack-block-sparse-h-pytorch-qnnp-sparse-matrix-indices-dtype-uint16-t.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>pytorch_qnnp_sparse_matrix_indices_dtype_uint32_t Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-pack-block-sparse-h-pytorch-qnnp-sparse-matrix-indices-dtype-uint32-t.html</link>
      <description>Architecture documentation for the pytorch_qnnp_sparse_matrix_indices_dtype_uint32_t class in pack_block_sparse.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-pack-block-sparse-h-pytorch-qnnp-sparse-matrix-indices-dtype-uint32-t.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>pytorch_qnnp_sparse_matrix_indices_dtype_uint8_t Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-pack-block-sparse-h-pytorch-qnnp-sparse-matrix-indices-dtype-uint8-t.html</link>
      <description>Architecture documentation for the pytorch_qnnp_sparse_matrix_indices_dtype_uint8_t class in pack_block_sparse.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-pack-block-sparse-h-pytorch-qnnp-sparse-matrix-indices-dtype-uint8-t.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>row_values_data_ptr Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-pack-block-sparse-h-row-values-data-ptr.html</link>
      <description>Architecture documentation for the row_values_data_ptr class in pack_block_sparse.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-pack-block-sparse-h-row-values-data-ptr.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>TypedBCSRMatrix Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-pack-block-sparse-h-typedbcsrmatrix.html</link>
      <description>Architecture documentation for the TypedBCSRMatrix class in pack_block_sparse.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-pack-block-sparse-h-typedbcsrmatrix.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>unpack Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-pack-block-sparse-h-unpack.html</link>
      <description>Architecture documentation for the unpack class in pack_block_sparse.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-pack-block-sparse-h-unpack.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>VECTOR_T Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-pack-block-sparse-h-vector-t.html</link>
      <description>Architecture documentation for the VECTOR_T class in pack_block_sparse.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-pack-block-sparse-h-vector-t.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>kSpatialDim Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-packedparams-h-kspatialdim.html</link>
      <description>Architecture documentation for the kSpatialDim class in PackedParams.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-packedparams-h-kspatialdim.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>dim Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-padding-h-dim.html</link>
      <description>Architecture documentation for the dim class in Padding.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-padding-h-dim.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>add_stub Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-paddingkernel-cpp-add-stub.html</link>
      <description>Architecture documentation for the add_stub class in PaddingKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-paddingkernel-cpp-add-stub.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>copy_stub Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-paddingkernel-cpp-copy-stub.html</link>
      <description>Architecture documentation for the copy_stub class in PaddingKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-paddingkernel-cpp-copy-stub.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>cpu_padding_backward_channels_last Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-paddingkernel-cpp-cpu-padding-backward-channels-last.html</link>
      <description>Architecture documentation for the cpu_padding_backward_channels_last class in PaddingKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-paddingkernel-cpp-cpu-padding-backward-channels-last.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>cpu_padding_backward Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-paddingkernel-cpp-cpu-padding-backward.html</link>
      <description>Architecture documentation for the cpu_padding_backward class in PaddingKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-paddingkernel-cpp-cpu-padding-backward.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>cpu_padding_channels_last Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-paddingkernel-cpp-cpu-padding-channels-last.html</link>
      <description>Architecture documentation for the cpu_padding_channels_last class in PaddingKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-paddingkernel-cpp-cpu-padding-channels-last.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>cpu_padding Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-paddingkernel-cpp-cpu-padding.html</link>
      <description>Architecture documentation for the cpu_padding class in PaddingKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-paddingkernel-cpp-cpu-padding.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>parallel_for Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-parallel-h-parallel-for.html</link>
      <description>Architecture documentation for the parallel_for class in Parallel.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-parallel-h-parallel-for.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>parallel_reduce Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-parallel-h-parallel-reduce.html</link>
      <description>Architecture documentation for the parallel_reduce class in Parallel.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-parallel-h-parallel-reduce.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>TORCH_API Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-parallel-h-torch-api.html</link>
      <description>Architecture documentation for the TORCH_API class in Parallel.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-parallel-h-torch-api.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>parallel_for Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-parallel-inl-h-parallel-for.html</link>
      <description>Architecture documentation for the parallel_for class in Parallel-inl.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-parallel-inl-h-parallel-for.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>parallel_reduce Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-parallel-inl-h-parallel-reduce.html</link>
      <description>Architecture documentation for the parallel_reduce class in Parallel-inl.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-parallel-inl-h-parallel-reduce.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>invoke_parallel Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-parallelopenmp-h-invoke-parallel.html</link>
      <description>Architecture documentation for the invoke_parallel class in ParallelOpenMP.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-parallelopenmp-h-invoke-parallel.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>is_standard_layout_v Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-paramshash-h-is-standard-layout-v.html</link>
      <description>Architecture documentation for the is_standard_layout_v class in ParamsHash.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-paramshash-h-is-standard-layout-v.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>_expand_param_if_needed Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-paramutils-h-expand-param-if-needed.html</link>
      <description>Architecture documentation for the _expand_param_if_needed class in ParamUtils.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-paramutils-h-expand-param-if-needed.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>philox_engine Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-philoxrngengine-h-philox-engine.html</link>
      <description>Architecture documentation for the philox_engine class in PhiloxRNGEngine.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-philoxrngengine-h-philox-engine.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>ComputePipeline Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-pipeline-h-computepipeline.html</link>
      <description>Architecture documentation for the ComputePipeline class in Pipeline.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-pipeline-h-computepipeline.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>ComputePipelineCache Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-pipeline-h-computepipelinecache.html</link>
      <description>Architecture documentation for the ComputePipelineCache class in Pipeline.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-pipeline-h-computepipelinecache.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>PipelineLayout Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-pipeline-h-pipelinelayout.html</link>
      <description>Architecture documentation for the PipelineLayout class in Pipeline.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-pipeline-h-pipelinelayout.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>PipelineLayoutCache Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-pipeline-h-pipelinelayoutcache.html</link>
      <description>Architecture documentation for the PipelineLayoutCache class in Pipeline.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-pipeline-h-pipelinelayoutcache.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>cpu_pixel_shuffle_channels_last Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-pixelshufflekernel-cpp-cpu-pixel-shuffle-channels-last.html</link>
      <description>Architecture documentation for the cpu_pixel_shuffle_channels_last class in PixelShuffleKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-pixelshufflekernel-cpp-cpu-pixel-shuffle-channels-last.html</guid>
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      <title>cpu_pixel_shuffle Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-pixelshufflekernel-cpp-cpu-pixel-shuffle.html</link>
      <description>Architecture documentation for the cpu_pixel_shuffle class in PixelShuffleKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-pixelshufflekernel-cpp-cpu-pixel-shuffle.html</guid>
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      <title>cpu_pixel_unshuffle_channels_last Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-pixelshufflekernel-cpp-cpu-pixel-unshuffle-channels-last.html</link>
      <description>Architecture documentation for the cpu_pixel_unshuffle_channels_last class in PixelShuffleKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-pixelshufflekernel-cpp-cpu-pixel-unshuffle-channels-last.html</guid>
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      <title>cpu_pixel_unshuffle Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-pixelshufflekernel-cpp-cpu-pixel-unshuffle.html</link>
      <description>Architecture documentation for the cpu_pixel_unshuffle class in PixelShuffleKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-pixelshufflekernel-cpp-cpu-pixel-unshuffle.html</guid>
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      <title>TensorBase Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-pixelshufflekernel-h-tensorbase.html</link>
      <description>Architecture documentation for the TensorBase class in PixelShuffleKernel.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-pixelshufflekernel-h-tensorbase.html</guid>
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      <title>Scalar Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-pointwiseops-h-scalar.html</link>
      <description>Architecture documentation for the Scalar class in PointwiseOps.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-pointwiseops-h-scalar.html</guid>
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      <title>pooling_output_shape_pad_lr Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-pool-h-pooling-output-shape-pad-lr.html</link>
      <description>Architecture documentation for the pooling_output_shape_pad_lr class in Pool.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-pool-h-pooling-output-shape-pad-lr.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-pool-h-pooling-output-shape.html</link>
      <description>Architecture documentation for the pooling_output_shape class in Pool.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-pool-h-pooling-output-shape.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>_pooling_same_mode_padding_lr Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-pool-h-pooling-same-mode-padding-lr.html</link>
      <description>Architecture documentation for the _pooling_same_mode_padding_lr class in Pool.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-pool-h-pooling-same-mode-padding-lr.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>safe_downcast Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-pool-h-safe-downcast.html</link>
      <description>Architecture documentation for the safe_downcast class in Pool.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-pool-h-safe-downcast.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>kSpatialDim Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-pooling-cpp-kspatialdim-2.html</link>
      <description>Architecture documentation for the kSpatialDim class in Pooling.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-pooling-cpp-kspatialdim-2.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>kSpatialDim Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-pooling-cpp-kspatialdim.html</link>
      <description>Architecture documentation for the kSpatialDim class in Pooling.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-pooling-cpp-kspatialdim.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>q_maxpool_2d Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-pooling-cpp-q-maxpool-2d.html</link>
      <description>Architecture documentation for the q_maxpool_2d class in Pooling.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-pooling-cpp-q-maxpool-2d.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>q_maxpool_3d Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-pooling-cpp-q-maxpool-3d.html</link>
      <description>Architecture documentation for the q_maxpool_3d class in Pooling.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-pooling-cpp-q-maxpool-3d.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>QMaxPool_arr_args Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-pooling-cpp-qmaxpool-arr-args-2.html</link>
      <description>Architecture documentation for the QMaxPool_arr_args class in Pooling.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-pooling-cpp-qmaxpool-arr-args-2.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>QMaxPool_arr_args Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-pooling-cpp-qmaxpool-arr-args.html</link>
      <description>Architecture documentation for the QMaxPool_arr_args class in Pooling.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-pooling-cpp-qmaxpool-arr-args.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>spatial_dilated_max_pooling Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-pooling-cpp-spatial-dilated-max-pooling.html</link>
      <description>Architecture documentation for the spatial_dilated_max_pooling class in Pooling.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-pooling-cpp-spatial-dilated-max-pooling.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>spatial_dilated_max_pooling3d Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-pooling-cpp-spatial-dilated-max-pooling3d.html</link>
      <description>Architecture documentation for the spatial_dilated_max_pooling3d class in Pooling.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-pooling-cpp-spatial-dilated-max-pooling3d.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>is_integral_v Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-pow-h-is-integral-v.html</link>
      <description>Architecture documentation for the is_integral_v class in Pow.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-pow-h-is-integral-v.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>Scalar Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-pow-h-scalar.html</link>
      <description>Architecture documentation for the Scalar class in Pow.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-pow-h-scalar.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>__ubsan_ignore_signed_int_overflow__ Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-pow-h-ubsan-ignore-signed-int-overflow.html</link>
      <description>Architecture documentation for the __ubsan_ignore_signed_int_overflow__ class in Pow.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-pow-h-ubsan-ignore-signed-int-overflow.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>assert_eq Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-pow-test-cpp-assert-eq.html</link>
      <description>Architecture documentation for the assert_eq class in pow_test.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-pow-test-cpp-assert-eq.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>scalar_pow_tensor Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-pow-test-cpp-scalar-pow-tensor.html</link>
      <description>Architecture documentation for the scalar_pow_tensor class in pow_test.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-pow-test-cpp-scalar-pow-tensor.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>tensor_pow_scalar Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-pow-test-cpp-tensor-pow-scalar.html</link>
      <description>Architecture documentation for the tensor_pow_scalar class in pow_test.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-pow-test-cpp-tensor-pow-scalar.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>tensor_pow_tensor Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-pow-test-cpp-tensor-pow-tensor.html</link>
      <description>Architecture documentation for the tensor_pow_tensor class in pow_test.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-pow-test-cpp-tensor-pow-tensor.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>test_cubed Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-pow-test-cpp-test-cubed.html</link>
      <description>Architecture documentation for the test_cubed class in pow_test.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-pow-test-cpp-test-cubed.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>test_inverse Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-pow-test-cpp-test-inverse.html</link>
      <description>Architecture documentation for the test_inverse class in pow_test.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-pow-test-cpp-test-inverse.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>test_pow_one Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-pow-test-cpp-test-pow-one.html</link>
      <description>Architecture documentation for the test_pow_one class in pow_test.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-pow-test-cpp-test-pow-one.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>test_squared Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-pow-test-cpp-test-squared.html</link>
      <description>Architecture documentation for the test_squared class in pow_test.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-pow-test-cpp-test-squared.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>typed_pow Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-pow-test-cpp-typed-pow.html</link>
      <description>Architecture documentation for the typed_pow class in pow_test.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-pow-test-cpp-typed-pow.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>pow_tensor_scalar_optimized_kernel Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-powkernel-cpp-pow-tensor-scalar-optimized-kernel.html</link>
      <description>Architecture documentation for the pow_tensor_scalar_optimized_kernel class in PowKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-powkernel-cpp-pow-tensor-scalar-optimized-kernel.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>AdvanceRank Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-predicated-tile-access-iterator-residual-last-h-advancerank.html</link>
      <description>Architecture documentation for the AdvanceRank class in predicated_tile_access_iterator_residual_last.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-predicated-tile-access-iterator-residual-last-h-advancerank.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>Params Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-predicated-tile-access-iterator-residual-last-h-params.html</link>
      <description>Architecture documentation for the Params class in predicated_tile_access_iterator_residual_last.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-predicated-tile-access-iterator-residual-last-h-params.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>PredicatedTileAccessIteratorResidualLast Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-predicated-tile-access-iterator-residual-last-h-predicatedtileaccessiteratorresiduallast.html</link>
      <description>Architecture documentation for the PredicatedTileAccessIteratorResidualLast class in predicated_tile_access_iterator_residual_last.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-predicated-tile-access-iterator-residual-last-h-predicatedtileaccessiteratorresiduallast.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>Shape_ Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-predicated-tile-access-iterator-residual-last-h-shape.html</link>
      <description>Architecture documentation for the Shape_ class in predicated_tile_access_iterator_residual_last.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-predicated-tile-access-iterator-residual-last-h-shape.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>AdvanceRank Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-predicated-tile-iterator-residual-last-h-advancerank.html</link>
      <description>Architecture documentation for the AdvanceRank class in predicated_tile_iterator_residual_last.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-predicated-tile-iterator-residual-last-h-advancerank.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>Params Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-predicated-tile-iterator-residual-last-h-params.html</link>
      <description>Architecture documentation for the Params class in predicated_tile_iterator_residual_last.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-predicated-tile-iterator-residual-last-h-params.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>PredicatedTileIteratorResidualLast Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-predicated-tile-iterator-residual-last-h-predicatedtileiteratorresiduallast.html</link>
      <description>Architecture documentation for the PredicatedTileIteratorResidualLast class in predicated_tile_iterator_residual_last.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-predicated-tile-iterator-residual-last-h-predicatedtileiteratorresiduallast.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>Shape_ Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-predicated-tile-iterator-residual-last-h-shape.html</link>
      <description>Architecture documentation for the Shape_ class in predicated_tile_iterator_residual_last.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-predicated-tile-iterator-residual-last-h-shape.html</guid>
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      <title>TORCH_API Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-ptthreadpool-h-torch-api.html</link>
      <description>Architecture documentation for the TORCH_API class in PTThreadPool.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-ptthreadpool-h-torch-api.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <link>https://repos.supermodeltools.com/pytorch/class-pythonopregistrationtrampoline-h-torch-api.html</link>
      <description>Architecture documentation for the TORCH_API class in PythonOpRegistrationTrampoline.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-pythonopregistrationtrampoline-h-torch-api.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <link>https://repos.supermodeltools.com/pytorch/class-pytorch-jni-common-cpp-newinstance.html</link>
      <description>Architecture documentation for the newInstance class in pytorch_jni_common.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-pytorch-jni-common-cpp-newinstance.html</guid>
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      <title>PyTorchAndroidJni Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-pytorch-jni-common-cpp-pytorchandroidjni.html</link>
      <description>Architecture documentation for the PyTorchAndroidJni class in pytorch_jni_common.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-pytorch-jni-common-cpp-pytorchandroidjni.html</guid>
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      <title>TensorHybrid Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-pytorch-jni-common-cpp-tensorhybrid.html</link>
      <description>Architecture documentation for the TensorHybrid class in pytorch_jni_common.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-pytorch-jni-common-cpp-tensorhybrid.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>JIValue Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-pytorch-jni-common-h-jivalue.html</link>
      <description>Architecture documentation for the JIValue class in pytorch_jni_common.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-pytorch-jni-common-h-jivalue.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>MemoryReadAdapter Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-pytorch-jni-common-h-memoryreadadapter.html</link>
      <description>Architecture documentation for the MemoryReadAdapter class in pytorch_jni_common.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-pytorch-jni-common-h-memoryreadadapter.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>Trace Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-pytorch-jni-common-h-trace.html</link>
      <description>Architecture documentation for the Trace class in pytorch_jni_common.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-pytorch-jni-common-h-trace.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <link>https://repos.supermodeltools.com/pytorch/class-pytorch-utils-h-scalar-t.html</link>
      <description>Architecture documentation for the scalar_t class in pytorch_utils.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-pytorch-utils-h-scalar-t.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <link>https://repos.supermodeltools.com/pytorch/class-pytorch-utils-h-scalartype.html</link>
      <description>Architecture documentation for the ScalarType class in pytorch_utils.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-pytorch-utils-h-scalartype.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>PyTorchAndroid Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-pytorchandroid-java-pytorchandroid.html</link>
      <description>Architecture documentation for the PyTorchAndroid class in PyTorchAndroid.java from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-pytorchandroid-java-pytorchandroid.html</guid>
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      <title>PyTorchCodegenLoader Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-pytorchcodegenloader-java-pytorchcodegenloader.html</link>
      <description>Architecture documentation for the PyTorchCodegenLoader class in PyTorchCodegenLoader.java from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-pytorchcodegenloader-java-pytorchcodegenloader.html</guid>
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      <title>PytorchHostTests Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-pytorchhosttests-java-pytorchhosttests.html</link>
      <description>Architecture documentation for the PytorchHostTests class in PytorchHostTests.java from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-pytorchhosttests-java-pytorchhosttests.html</guid>
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      <title>PytorchInstrumentedTests Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-pytorchinstrumentedtests-java-pytorchinstrumentedtests.html</link>
      <description>Architecture documentation for the PytorchInstrumentedTests class in PytorchInstrumentedTests.java from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-pytorchinstrumentedtests-java-pytorchinstrumentedtests.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-pytorchinstrumentedtestsuite-java-pytorchinstrumentedtestsuite.html</link>
      <description>Architecture documentation for the PytorchInstrumentedTestSuite class in PytorchInstrumentedTestSuite.java from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-pytorchinstrumentedtestsuite-java-pytorchinstrumentedtestsuite.html</guid>
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      <title>PytorchLiteInstrumentedTests Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-pytorchliteinstrumentedtests-java-pytorchliteinstrumentedtests.html</link>
      <description>Architecture documentation for the PytorchLiteInstrumentedTests class in PytorchLiteInstrumentedTests.java from the pytorch codebase.</description>
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      <title>PytorchLiteInstrumentedTestSuite Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-pytorchliteinstrumentedtestsuite-java-pytorchliteinstrumentedtestsuite.html</link>
      <description>Architecture documentation for the PytorchLiteInstrumentedTestSuite class in PytorchLiteInstrumentedTestSuite.java from the pytorch codebase.</description>
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      <title>feature_dropout Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-pytorchoperatorhacks-cpp-feature-dropout.html</link>
      <description>Architecture documentation for the feature_dropout class in PyTorchOperatorHacks.cpp from the pytorch codebase.</description>
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      <title>inplace Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-pytorchoperatorhacks-cpp-inplace.html</link>
      <description>Architecture documentation for the inplace class in PyTorchOperatorHacks.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-pytorchoperatorhacks-cpp-inplace.html</guid>
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      <title>PytorchTestBase Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-pytorchtestbase-java-pytorchtestbase.html</link>
      <description>Architecture documentation for the PytorchTestBase class in PytorchTestBase.java from the pytorch codebase.</description>
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      <title>COMPUTE_ROW_SUM_Op Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-q8gemm-cc-compute-row-sum-op.html</link>
      <description>Architecture documentation for the COMPUTE_ROW_SUM_Op class in q8gemm.cc from the pytorch codebase.</description>
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      <title>GEMMLOWP Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-q8gemm-cc-gemmlowp.html</link>
      <description>Architecture documentation for the GEMMLOWP class in q8gemm.cc from the pytorch codebase.</description>
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      <title>MR Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-q8gemm-cc-mr.html</link>
      <description>Architecture documentation for the MR class in q8gemm.cc from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-q8gemm-cc-mr.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>Q8GEMM_L1 Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-q8gemm-cc-q8gemm-l1.html</link>
      <description>Architecture documentation for the Q8GEMM_L1 class in q8gemm.cc from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-q8gemm-cc-q8gemm-l1.html</guid>
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      <title>Q8GEMM_Op Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-q8gemm-cc-q8gemm-op.html</link>
      <description>Architecture documentation for the Q8GEMM_Op class in q8gemm.cc from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-q8gemm-cc-q8gemm-op.html</guid>
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      <title>Q8GEMM_XZP_L1 Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-q8gemm-cc-q8gemm-xzp-l1.html</link>
      <description>Architecture documentation for the Q8GEMM_XZP_L1 class in q8gemm.cc from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-q8gemm-cc-q8gemm-xzp-l1.html</guid>
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      <title>Q8GEMM_XZP_Op Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-q8gemm-cc-q8gemm-xzp-op.html</link>
      <description>Architecture documentation for the Q8GEMM_XZP_Op class in q8gemm.cc from the pytorch codebase.</description>
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      <title>Q8GEMM_XZP Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-q8gemm-cc-q8gemm-xzp.html</link>
      <description>Architecture documentation for the Q8GEMM_XZP class in q8gemm.cc from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-q8gemm-cc-q8gemm-xzp.html</guid>
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      <title>Q8GEMM Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-q8gemm-cc-q8gemm.html</link>
      <description>Architecture documentation for the Q8GEMM class in q8gemm.cc from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-q8gemm-cc-q8gemm.html</guid>
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      <title>MR Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-q8gemm-sparse-cc-mr.html</link>
      <description>Architecture documentation for the MR class in q8gemm_sparse.cc from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-q8gemm-sparse-cc-mr.html</guid>
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      <title>Q8GEMM_Op Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-q8gemm-sparse-cc-q8gemm-op.html</link>
      <description>Architecture documentation for the Q8GEMM_Op class in q8gemm_sparse.cc from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-q8gemm-sparse-cc-q8gemm-op.html</guid>
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      <title>Q8GEMM Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-q8gemm-sparse-cc-q8gemm.html</link>
      <description>Architecture documentation for the Q8GEMM class in q8gemm_sparse.cc from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-q8gemm-sparse-cc-q8gemm.html</guid>
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      <title>Q8GEMMSparse_Op Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-q8gemm-sparse-cc-q8gemmsparse-op.html</link>
      <description>Architecture documentation for the Q8GEMMSparse_Op class in q8gemm_sparse.cc from the pytorch codebase.</description>
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      <title>Q8GEMMSparse Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-q8gemm-sparse-cc-q8gemmsparse.html</link>
      <description>Architecture documentation for the Q8GEMMSparse class in q8gemm_sparse.cc from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-q8gemm-sparse-cc-q8gemmsparse.html</guid>
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      <title>kReluFused Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-qconv-cpp-krelufused.html</link>
      <description>Architecture documentation for the kReluFused class in qconv.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-qconv-cpp-krelufused.html</guid>
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      <title>kSpatialDim Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-qconv-cpp-kspatialdim.html</link>
      <description>Architecture documentation for the kSpatialDim class in qconv.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-qconv-cpp-kspatialdim.html</guid>
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      <title>MakeConvOutputShape Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-qconv-cpp-makeconvoutputshape.html</link>
      <description>Architecture documentation for the MakeConvOutputShape class in qconv.cpp from the pytorch codebase.</description>
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      <title>MakeInputShape Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-qconv-cpp-makeinputshape.html</link>
      <description>Architecture documentation for the MakeInputShape class in qconv.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-qconv-cpp-makeinputshape.html</guid>
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      <title>QConv1dInt8 Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-qconv-cpp-qconv1dint8.html</link>
      <description>Architecture documentation for the QConv1dInt8 class in qconv.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-qconv-cpp-qconv1dint8.html</guid>
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      <title>QConvAddInt8 Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-qconv-cpp-qconvaddint8.html</link>
      <description>Architecture documentation for the QConvAddInt8 class in qconv.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-qconv-cpp-qconvaddint8.html</guid>
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      <title>QConvInt8 Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-qconv-cpp-qconvint8.html</link>
      <description>Architecture documentation for the QConvInt8 class in qconv.cpp from the pytorch codebase.</description>
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      <title>QConvInt8ForBC Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-qconv-cpp-qconvint8forbc.html</link>
      <description>Architecture documentation for the QConvInt8ForBC class in qconv.cpp from the pytorch codebase.</description>
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      <title>kSpatialDim Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-qconv-dynamic-cpp-kspatialdim.html</link>
      <description>Architecture documentation for the kSpatialDim class in qconv_dynamic.cpp from the pytorch codebase.</description>
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      <title>QConv1dDynamicInt8 Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-qconv-dynamic-cpp-qconv1ddynamicint8.html</link>
      <description>Architecture documentation for the QConv1dDynamicInt8 class in qconv_dynamic.cpp from the pytorch codebase.</description>
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      <title>QConvDynamicInt8 Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-qconv-dynamic-cpp-qconvdynamicint8.html</link>
      <description>Architecture documentation for the QConvDynamicInt8 class in qconv_dynamic.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-qconv-dynamic-cpp-qconvdynamicint8.html</guid>
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      <title>QConvoneDNN Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-qconv-h-qconvonednn.html</link>
      <description>Architecture documentation for the QConvoneDNN class in qconv.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-qconv-h-qconvonednn.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-qconv-h-qconvonednnxpu.html</link>
      <description>Architecture documentation for the QConvoneDNNXPU class in qconv.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-qconv-h-qconvonednnxpu.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-qconv-prepack-cpp-kspatialdim.html</link>
      <description>Architecture documentation for the kSpatialDim class in qconv_prepack.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-qconv-prepack-cpp-kspatialdim.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-qconv-prepack-cpp-qconv1dpackweightint8.html</link>
      <description>Architecture documentation for the QConv1dPackWeightInt8 class in qconv_prepack.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-qconv-prepack-cpp-qconv1dpackweightint8.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-qconv-prepack-cpp-qconvpackweightint8.html</link>
      <description>Architecture documentation for the QConvPackWeightInt8 class in qconv_prepack.cpp from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-qconv-prepack-cpp-qconvprepackonednn.html</link>
      <description>Architecture documentation for the QConvPrepackOneDNN class in qconv_prepack.cpp from the pytorch codebase.</description>
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      <title>kSpatialDim Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-qconv-unpack-cpp-kspatialdim.html</link>
      <description>Architecture documentation for the kSpatialDim class in qconv_unpack.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-qconv-unpack-cpp-kspatialdim.html</guid>
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      <title>QConv1dUnpackWeightsInt8 Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-qconv-unpack-cpp-qconv1dunpackweightsint8.html</link>
      <description>Architecture documentation for the QConv1dUnpackWeightsInt8 class in qconv_unpack.cpp from the pytorch codebase.</description>
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      <title>QConvDilation Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-qconv-unpack-cpp-qconvdilation.html</link>
      <description>Architecture documentation for the QConvDilation class in qconv_unpack.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-qconv-unpack-cpp-qconvdilation.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-qconv-unpack-cpp-qconvgroups.html</link>
      <description>Architecture documentation for the QConvGroups class in qconv_unpack.cpp from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-qconv-unpack-cpp-qconvoutputpadding.html</link>
      <description>Architecture documentation for the QConvOutputPadding class in qconv_unpack.cpp from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-qconv-unpack-cpp-qconvpadding.html</link>
      <description>Architecture documentation for the QConvPadding class in qconv_unpack.cpp from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-qconv-unpack-cpp-qconvstride.html</link>
      <description>Architecture documentation for the QConvStride class in qconv_unpack.cpp from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-qconv-unpack-cpp-qconvtranspose.html</link>
      <description>Architecture documentation for the QConvTranspose class in qconv_unpack.cpp from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-qconv-unpack-cpp-qconvunpackweightsint8.html</link>
      <description>Architecture documentation for the QConvUnpackWeightsInt8 class in qconv_unpack.cpp from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-qconv-unpack-impl-cpp-kspatialdim.html</link>
      <description>Architecture documentation for the kSpatialDim class in qconv_unpack_impl.cpp from the pytorch codebase.</description>
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      <description>Architecture documentation for the BIT_RATE class in qembeddingbag.cpp from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-qembeddingbag-cpp-embedding-bag-byte-impl.html</link>
      <description>Architecture documentation for the embedding_bag_byte_impl class in qembeddingbag.cpp from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-qembeddingbag-cpp-embedding-bag-nbit-impl.html</link>
      <description>Architecture documentation for the embedding_bag_nbit_impl class in qembeddingbag.cpp from the pytorch codebase.</description>
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      <description>Architecture documentation for the embedding_lookup_byte_neon_impl class in qembeddingbag.cpp from the pytorch codebase.</description>
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      <description>Architecture documentation for the fbgemm_spmdm_report_error_ class in qembeddingbag.cpp from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-qembeddingbag-cpp-qembedding.html</link>
      <description>Architecture documentation for the QEmbedding class in qembeddingbag.cpp from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-qembeddingbag-cpp-qembeddingbag.html</link>
      <description>Architecture documentation for the QEmbeddingBag class in qembeddingbag.cpp from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-qembeddingbag-prepack-cpp-qembeddingpackweights.html</link>
      <description>Architecture documentation for the QEmbeddingPackWeights class in qembeddingbag_prepack.cpp from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-qembeddingbag-unpack-cpp-qembeddingunpackweights.html</link>
      <description>Architecture documentation for the QEmbeddingUnpackWeights class in qembeddingbag_unpack.cpp from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-qlinear-cpp-krelufused.html</link>
      <description>Architecture documentation for the kReluFused class in qlinear.cpp from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-qlinear-cpp-post-op.html</link>
      <description>Architecture documentation for the post_op class in qlinear.cpp from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-qlinear-cpp-qlinearint8-2.html</link>
      <description>Architecture documentation for the QLinearInt8 class in qlinear.cpp from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-qlinear-cpp-qlinearint8.html</link>
      <description>Architecture documentation for the QLinearInt8 class in qlinear.cpp from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-qlinear-cpp-qlinearint8fusedqdq.html</link>
      <description>Architecture documentation for the QLinearInt8FusedQDQ class in qlinear.cpp from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-qlinear-cpp-qlinearleakyreluint8.html</link>
      <description>Architecture documentation for the QLinearLeakyReluInt8 class in qlinear.cpp from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-qlinear-cpp-qlinearonednn.html</link>
      <description>Architecture documentation for the QLinearOnednn class in qlinear.cpp from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-qlinear-cpp-qlineartanhint8.html</link>
      <description>Architecture documentation for the QLinearTanhInt8 class in qlinear.cpp from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-qlinear-cpp-relufused-2.html</link>
      <description>Architecture documentation for the ReluFused class in qlinear.cpp from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-qlinear-cpp-relufused.html</link>
      <description>Architecture documentation for the ReluFused class in qlinear.cpp from the pytorch codebase.</description>
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      <description>Architecture documentation for the INDICES_DTYPE class in qlinear_deserialize.cpp from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-qlinear-deserialize-cpp-unsignedindicestypetrait.html</link>
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      <link>https://repos.supermodeltools.com/pytorch/class-qlinear-deserialize-cpp-unwrap-vector.html</link>
      <description>Architecture documentation for the unwrap_vector class in qlinear_deserialize.cpp from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-qlinear-dynamic-cpp-apply-dynamic-impl.html</link>
      <description>Architecture documentation for the apply_dynamic_impl class in qlinear_dynamic.cpp from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-qlinear-dynamic-cpp-lineardynamicfp16onednn.html</link>
      <description>Architecture documentation for the LinearDynamicFp16Onednn class in qlinear_dynamic.cpp from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-qlinear-dynamic-cpp-qlineardynamicfp16.html</link>
      <description>Architecture documentation for the QLinearDynamicFp16 class in qlinear_dynamic.cpp from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-qlinear-dynamic-cpp-qlineardynamicint8-2.html</link>
      <description>Architecture documentation for the QLinearDynamicInt8 class in qlinear_dynamic.cpp from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-qlinear-dynamic-cpp-qlineardynamicint8.html</link>
      <description>Architecture documentation for the QLinearDynamicInt8 class in qlinear_dynamic.cpp from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-qlinear-dynamic-cpp-qlinearunpackeddynamicfp16.html</link>
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      <link>https://repos.supermodeltools.com/pytorch/class-qlinear-dynamic-cpp-relufused-2.html</link>
      <description>Architecture documentation for the ReluFused class in qlinear_dynamic.cpp from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-qlinear-dynamic-cpp-relufused.html</link>
      <description>Architecture documentation for the ReluFused class in qlinear_dynamic.cpp from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-qlinear-h-qlinearonednn.html</link>
      <description>Architecture documentation for the QLinearOnednn class in qlinear.h from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-qlinear-h-qlinearonednnxpu.html</link>
      <description>Architecture documentation for the QLinearOnednnXPU class in qlinear.h from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-qlinear-prepack-cpp-callopbyhandle.html</link>
      <description>Architecture documentation for the callOpByHandle class in qlinear_prepack.cpp from the pytorch codebase.</description>
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      <description>Architecture documentation for the callOpByName class in qlinear_prepack.cpp from the pytorch codebase.</description>
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      <description>Architecture documentation for the makeStack class in qlinear_prepack.cpp from the pytorch codebase.</description>
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      <guid>https://repos.supermodeltools.com/pytorch/class-qlinear-unpack-cpp-qlinearunpackweightint8-2.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-qlinear-unpack-cpp-qlinearunpackweightint8.html</link>
      <description>Architecture documentation for the QLinearUnpackWeightInt8 class in qlinear_unpack.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-qlinear-unpack-cpp-qlinearunpackweightint8.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-qlinear-unpack-cpp-qlinearunpackweightint8legacy.html</link>
      <description>Architecture documentation for the QLinearUnpackWeightInt8Legacy class in qlinear_unpack.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-qlinear-unpack-cpp-qlinearunpackweightint8legacy.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>QMul Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-qmul-cpp-qmul.html</link>
      <description>Architecture documentation for the QMul class in qmul.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-qmul-cpp-qmul.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <link>https://repos.supermodeltools.com/pytorch/class-qmul-cpp-qmulonednn.html</link>
      <description>Architecture documentation for the QMulOnednn class in qmul.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-qmul-cpp-qmulonednn.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-qmul-cpp-qmulout.html</link>
      <description>Architecture documentation for the QMulOut class in qmul.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-qmul-cpp-qmulout.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-qmul-cpp-qmulscalar.html</link>
      <description>Architecture documentation for the QMulScalar class in qmul.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-qmul-cpp-qmulscalar.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-qmul-cpp-qmulscalar2.html</link>
      <description>Architecture documentation for the QMulScalar2 class in qmul.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-qmul-cpp-qmulscalar2.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-qmul-cpp-qmulscalarout.html</link>
      <description>Architecture documentation for the QMulScalarOut class in qmul.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-qmul-cpp-qmulscalarout.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-qmul-cpp-qmulscalartensor.html</link>
      <description>Architecture documentation for the QMulScalarTensor class in qmul.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-qmul-cpp-qmulscalartensor.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-qmul-cpp-qmulscalartensorout.html</link>
      <description>Architecture documentation for the QMulScalarTensorOut class in qmul.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-qmul-cpp-qmulscalartensorout.html</guid>
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      <title>ReLUFused Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-qmul-cpp-relufused.html</link>
      <description>Architecture documentation for the ReLUFused class in qmul.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-qmul-cpp-relufused.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-qnnpack-func-h-packbmatrix.html</link>
      <description>Architecture documentation for the PackBMatrix class in qnnpack_func.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-qnnpack-func-h-packbmatrix.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-qnnpack-func-h-prepackconvweights.html</link>
      <description>Architecture documentation for the PrePackConvWeights class in qnnpack_func.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-qnnpack-func-h-prepackconvweights.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-qnnpackutils-h-activationlimits.html</link>
      <description>Architecture documentation for the activationLimits class in QnnpackUtils.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-qnnpackutils-h-activationlimits.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-qnnpackutils-h-krelufused.html</link>
      <description>Architecture documentation for the kReluFused class in QnnpackUtils.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-qnnpackutils-h-krelufused.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-qnnpackutils-h-kspatialdim.html</link>
      <description>Architecture documentation for the kSpatialDim class in QnnpackUtils.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-qnnpackutils-h-kspatialdim.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-qnnpackutils-h-quantizevalue.html</link>
      <description>Architecture documentation for the QuantizeValue class in QnnpackUtils.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-qnnpackutils-h-quantizevalue.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-qnnpackutils-h-relufused.html</link>
      <description>Architecture documentation for the ReluFused class in QnnpackUtils.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-qnnpackutils-h-relufused.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-qrelu-cpp-qleakyrelu.html</link>
      <description>Architecture documentation for the QLeakyRelu class in qrelu.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-qrelu-cpp-qleakyrelu.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-qrelu-cpp-qprelu.html</link>
      <description>Architecture documentation for the QPRelu class in qrelu.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-qrelu-cpp-qprelu.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-qrelu-cpp-qrelu6.html</link>
      <description>Architecture documentation for the QRelu6 class in qrelu.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-qrelu-cpp-qrelu6.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-qsigmoid-cpp-qsigmoid.html</link>
      <description>Architecture documentation for the QSigmoid class in qsigmoid.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-qsigmoid-cpp-qsigmoid.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-qualified-name-h-join.html</link>
      <description>Architecture documentation for the join class in qualified_name.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-qualified-name-h-join.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-quantizedlinear-cpp-checkandsaturate.html</link>
      <description>Architecture documentation for the CheckAndSaturate class in QuantizedLinear.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-quantizedlinear-cpp-checkandsaturate.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-quantizedopkernels-cpp-cpu-masked-fill-kernel-quantized-cpu.html</link>
      <description>Architecture documentation for the cpu_masked_fill_kernel_quantized_cpu class in QuantizedOpKernels.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-quantizedopkernels-cpp-cpu-masked-fill-kernel-quantized-cpu.html</guid>
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      <title>dequantize_per_channel_affine_kernel Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-quantizedopkernels-cpp-dequantize-per-channel-affine-kernel.html</link>
      <description>Architecture documentation for the dequantize_per_channel_affine_kernel class in QuantizedOpKernels.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-quantizedopkernels-cpp-dequantize-per-channel-affine-kernel.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-quantizedopkernels-cpp-dequantize-tensor-arm.html</link>
      <description>Architecture documentation for the dequantize_tensor_arm class in QuantizedOpKernels.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-quantizedopkernels-cpp-dequantize-tensor-arm.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-quantizedopkernels-cpp-fake-quant-per-channel-cachemask-cpu-helper.html</link>
      <description>Architecture documentation for the _fake_quant_per_channel_cachemask_cpu_helper class in QuantizedOpKernels.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-quantizedopkernels-cpp-fake-quant-per-channel-cachemask-cpu-helper.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-quantizedopkernels-cpp-q-batch-norm-cpu-kernel-impl.html</link>
      <description>Architecture documentation for the q_batch_norm_cpu_kernel_impl class in QuantizedOpKernels.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-quantizedopkernels-cpp-q-batch-norm-cpu-kernel-impl.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-quantizedopkernels-cpp-qadaptive-avg-pool-kernel.html</link>
      <description>Architecture documentation for the _qadaptive_avg_pool_kernel class in QuantizedOpKernels.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-quantizedopkernels-cpp-qadaptive-avg-pool-kernel.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-quantizedopkernels-cpp-qavg-pool-nhwc-kernel.html</link>
      <description>Architecture documentation for the _qavg_pool_nhwc_kernel class in QuantizedOpKernels.cpp from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-quantizedopkernels-cpp-qmaxpool-2d-nhwc-kernel.html</link>
      <description>Architecture documentation for the _qmaxpool_2d_nhwc_kernel class in QuantizedOpKernels.cpp from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-quantizedopkernels-cpp-qmul-tensor-cpu-impl.html</link>
      <description>Architecture documentation for the _qmul_tensor_cpu_impl class in QuantizedOpKernels.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-quantizedopkernels-cpp-qmul-tensor-cpu-impl.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-quantizedopkernels-cpp-quantize-tensor-arm-q8.html</link>
      <description>Architecture documentation for the quantize_tensor_arm_q8 class in QuantizedOpKernels.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-quantizedopkernels-cpp-quantize-tensor-arm-q8.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-quantizedopkernels-cpp-quantize-tensor-arm.html</link>
      <description>Architecture documentation for the quantize_tensor_arm class in QuantizedOpKernels.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-quantizedopkernels-cpp-quantize-tensor-arm.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-quantizedopkernels-cpp-quantize-tensor-per-channel-impl.html</link>
      <description>Architecture documentation for the quantize_tensor_per_channel_impl class in QuantizedOpKernels.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-quantizedopkernels-cpp-quantize-tensor-per-channel-impl.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-quantizedopkernels-cpp-relufused-2.html</link>
      <description>Architecture documentation for the ReluFused class in QuantizedOpKernels.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-quantizedopkernels-cpp-relufused-2.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-quantizedopkernels-cpp-relufused.html</link>
      <description>Architecture documentation for the ReLUFused class in QuantizedOpKernels.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-quantizedopkernels-cpp-relufused.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-quantizedopkernels-cpp-tx8.html</link>
      <description>Architecture documentation for the Tx8 class in QuantizedOpKernels.cpp from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-quantizedopkernels-cpp-void.html</link>
      <description>Architecture documentation for the void class in QuantizedOpKernels.cpp from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-quantizedopkernels-cpp-vqmov.html</link>
      <description>Architecture documentation for the vqmov class in QuantizedOpKernels.cpp from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-quantizerbase-h-tensor.html</link>
      <description>Architecture documentation for the Tensor class in QuantizerBase.h from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-quantutils-h-checkandsaturate.html</link>
      <description>Architecture documentation for the CheckAndSaturate class in QuantUtils.h from the pytorch codebase.</description>
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      <description>Architecture documentation for the QueryPool class in QueryPool.h from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-rangeutils-h-compute-arange-size.html</link>
      <description>Architecture documentation for the compute_arange_size class in RangeUtils.h from the pytorch codebase.</description>
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      <description>Architecture documentation for the CacheEntry class in record_function.cpp from the pytorch codebase.</description>
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      <title>GlobalCallbackManager Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-record-function-cpp-globalcallbackmanager.html</link>
      <description>Architecture documentation for the GlobalCallbackManager class in record_function.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-record-function-cpp-globalcallbackmanager.html</guid>
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      <title>is_start Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-record-function-cpp-is-start.html</link>
      <description>Architecture documentation for the is_start class in record_function.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-record-function-cpp-is-start.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>LocalCallbackManager Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-record-function-cpp-localcallbackmanager.html</link>
      <description>Architecture documentation for the LocalCallbackManager class in record_function.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-record-function-cpp-localcallbackmanager.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>record_function_with_scope_and_debug_handle Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-record-function-h-record-function-with-scope-and-debug-handle.html</link>
      <description>Architecture documentation for the record_function_with_scope_and_debug_handle class in record_function.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-record-function-h-record-function-with-scope-and-debug-handle.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>record_function_with_scope Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-record-function-h-record-function-with-scope.html</link>
      <description>Architecture documentation for the record_function_with_scope class in record_function.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-record-function-h-record-function-with-scope.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>sc Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-record-function-h-sc.html</link>
      <description>Architecture documentation for the sc class in record_function.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-record-function-h-sc.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>TORCH_API Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-record-function-h-torch-api.html</link>
      <description>Architecture documentation for the TORCH_API class in record_function.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-record-function-h-torch-api.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>binary_kernel_reduce_lastdim Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-reduce-h-binary-kernel-reduce-lastdim.html</link>
      <description>Architecture documentation for the binary_kernel_reduce_lastdim class in Reduce.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-reduce-h-binary-kernel-reduce-lastdim.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>binary_kernel_reduce_vec Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-reduce-h-binary-kernel-reduce-vec.html</link>
      <description>Architecture documentation for the binary_kernel_reduce_vec class in Reduce.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-reduce-h-binary-kernel-reduce-vec.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>binary_kernel_reduce Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-reduce-h-binary-kernel-reduce.html</link>
      <description>Architecture documentation for the binary_kernel_reduce class in Reduce.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-reduce-h-binary-kernel-reduce.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>is_contiguous_reduction Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-reduce-h-is-contiguous-reduction.html</link>
      <description>Architecture documentation for the is_contiguous_reduction class in Reduce.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-reduce-h-is-contiguous-reduction.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>is_outer_reduction Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-reduce-h-is-outer-reduction.html</link>
      <description>Architecture documentation for the is_outer_reduction class in Reduce.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-reduce-h-is-outer-reduction.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>set_result Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-reduce-h-set-result.html</link>
      <description>Architecture documentation for the set_result class in Reduce.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-reduce-h-set-result.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>set_results Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-reduce-h-set-results.html</link>
      <description>Architecture documentation for the set_results class in Reduce.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-reduce-h-set-results.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>UNARY_OUTER_LOOP Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-reduce-h-unary-outer-loop.html</link>
      <description>Architecture documentation for the UNARY_OUTER_LOOP class in Reduce.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-reduce-h-unary-outer-loop.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>vectorized_inner_reduction Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-reduce-h-vectorized-inner-reduction.html</link>
      <description>Architecture documentation for the vectorized_inner_reduction class in Reduce.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-reduce-h-vectorized-inner-reduction.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>vectorized_outer_reduction Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-reduce-h-vectorized-outer-reduction.html</link>
      <description>Architecture documentation for the vectorized_outer_reduction class in Reduce.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-reduce-h-vectorized-outer-reduction.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>vectorized_reduction Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-reduce-h-vectorized-reduction.html</link>
      <description>Architecture documentation for the vectorized_reduction class in Reduce.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-reduce-h-vectorized-reduction.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>Tensor Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-reduceallops-h-tensor.html</link>
      <description>Architecture documentation for the Tensor class in ReduceAllOps.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-reduceallops-h-tensor.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>reduce_all_impl_two_outputs Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-reduceallopskernel-cpp-reduce-all-impl-two-outputs.html</link>
      <description>Architecture documentation for the reduce_all_impl_two_outputs class in ReduceAllOpsKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-reduceallopskernel-cpp-reduce-all-impl-two-outputs.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>reduce_all_impl_vec_two_outputs Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-reduceallopskernel-cpp-reduce-all-impl-vec-two-outputs.html</link>
      <description>Architecture documentation for the reduce_all_impl_vec_two_outputs class in ReduceAllOpsKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-reduceallopskernel-cpp-reduce-all-impl-vec-two-outputs.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>reduce_all_impl_vec Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-reduceallopskernel-cpp-reduce-all-impl-vec.html</link>
      <description>Architecture documentation for the reduce_all_impl_vec class in ReduceAllOpsKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-reduceallopskernel-cpp-reduce-all-impl-vec.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>reduce_all_impl Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-reduceallopskernel-cpp-reduce-all-impl.html</link>
      <description>Architecture documentation for the reduce_all_impl class in ReduceAllOpsKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-reduceallopskernel-cpp-reduce-all-impl.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>C10_ALWAYS_INLINE Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-reducedprecisionfloatgemvfastpathkernel-cpp-c10-always-inline.html</link>
      <description>Architecture documentation for the C10_ALWAYS_INLINE class in ReducedPrecisionFloatGemvFastPathKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-reducedprecisionfloatgemvfastpathkernel-cpp-c10-always-inline.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>dot_with_fp32_arith_main_loop_no_bfdot Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-reducedprecisionfloatgemvfastpathkernel-cpp-dot-with-fp32-arith-main-loop-no-bfdot.html</link>
      <description>Architecture documentation for the dot_with_fp32_arith_main_loop_no_bfdot class in ReducedPrecisionFloatGemvFastPathKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-reducedprecisionfloatgemvfastpathkernel-cpp-dot-with-fp32-arith-main-loop-no-bfdot.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>float Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-reducedprecisionfloatgemvfastpathkernel-cpp-float.html</link>
      <description>Architecture documentation for the float class in ReducedPrecisionFloatGemvFastPathKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-reducedprecisionfloatgemvfastpathkernel-cpp-float.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>IntegerLog2 Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-reducedprecisionfloatgemvfastpathkernel-cpp-integerlog2.html</link>
      <description>Architecture documentation for the IntegerLog2 class in ReducedPrecisionFloatGemvFastPathKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-reducedprecisionfloatgemvfastpathkernel-cpp-integerlog2.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>void Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-reducedprecisionfloatgemvfastpathkernel-cpp-void.html</link>
      <description>Architecture documentation for the void class in ReducedPrecisionFloatGemvFastPathKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-reducedprecisionfloatgemvfastpathkernel-cpp-void.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>argmax_argmin_impl Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-reduceops-cpp-argmax-argmin-impl.html</link>
      <description>Architecture documentation for the argmax_argmin_impl class in ReduceOps.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-reduceops-cpp-argmax-argmin-impl.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>cummax_cummin_helper Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-reduceops-cpp-cummax-cummin-helper.html</link>
      <description>Architecture documentation for the cummax_cummin_helper class in ReduceOps.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-reduceops-cpp-cummax-cummin-helper.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>identity Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-reduceops-cpp-identity.html</link>
      <description>Architecture documentation for the identity class in ReduceOps.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-reduceops-cpp-identity.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>impl_func_cum_ops Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-reduceops-cpp-impl-func-cum-ops.html</link>
      <description>Architecture documentation for the impl_func_cum_ops class in ReduceOps.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-reduceops-cpp-impl-func-cum-ops.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>is_all Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-reduceops-cpp-is-all.html</link>
      <description>Architecture documentation for the is_all class in ReduceOps.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-reduceops-cpp-is-all.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>is_integral_v Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-reduceops-cpp-is-integral-v.html</link>
      <description>Architecture documentation for the is_integral_v class in ReduceOps.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-reduceops-cpp-is-integral-v.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>isnan_ Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-reduceops-cpp-isnan.html</link>
      <description>Architecture documentation for the isnan_ class in ReduceOps.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-reduceops-cpp-isnan.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>set_result Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-reduceops-cpp-set-result.html</link>
      <description>Architecture documentation for the set_result class in ReduceOps.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-reduceops-cpp-set-result.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>Scalar Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-reduceops-h-scalar-2.html</link>
      <description>Architecture documentation for the Scalar class in ReduceOps.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-reduceops-h-scalar-2.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>Scalar Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-reduceops-h-scalar.html</link>
      <description>Architecture documentation for the Scalar class in ReduceOps.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-reduceops-h-scalar.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>Tensor Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-reduceops-h-tensor.html</link>
      <description>Architecture documentation for the Tensor class in ReduceOps.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-reduceops-h-tensor.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>arg Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-reduceopskernel-cpp-arg.html</link>
      <description>Architecture documentation for the arg class in ReduceOpsKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-reduceopskernel-cpp-arg.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>cpu_cum_base_kernel Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-reduceopskernel-cpp-cpu-cum-base-kernel.html</link>
      <description>Architecture documentation for the cpu_cum_base_kernel class in ReduceOpsKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-reduceopskernel-cpp-cpu-cum-base-kernel.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>norm_kernel_cpu_impl Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-reduceopskernel-cpp-norm-kernel-cpu-impl.html</link>
      <description>Architecture documentation for the norm_kernel_cpu_impl class in ReduceOpsKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-reduceopskernel-cpp-norm-kernel-cpu-impl.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>norm_two_reduce_step Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-reduceopskernel-cpp-norm-two-reduce-step.html</link>
      <description>Architecture documentation for the norm_two_reduce_step class in ReduceOpsKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-reduceopskernel-cpp-norm-two-reduce-step.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>powsum_kernel_cpu_impl Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-reduceopskernel-cpp-powsum-kernel-cpu-impl.html</link>
      <description>Architecture documentation for the powsum_kernel_cpu_impl class in ReduceOpsKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-reduceopskernel-cpp-powsum-kernel-cpu-impl.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>reduce Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-reduceopskernel-cpp-reduce.html</link>
      <description>Architecture documentation for the reduce class in ReduceOpsKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-reduceopskernel-cpp-reduce.html</guid>
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      <title>lower_bound Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-reduceopsutils-h-lower-bound.html</link>
      <description>Architecture documentation for the lower_bound class in ReduceOpsUtils.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-reduceopsutils-h-lower-bound.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <link>https://repos.supermodeltools.com/pytorch/class-reduceopsutils-h-upper-bound.html</link>
      <description>Architecture documentation for the upper_bound class in ReduceOpsUtils.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-reduceopsutils-h-upper-bound.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <link>https://repos.supermodeltools.com/pytorch/class-reduceutils-h-init.html</link>
      <description>Architecture documentation for the init class in ReduceUtils.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-reduceutils-h-init.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>is_same_v Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-reduceutils-h-is-same-v.html</link>
      <description>Architecture documentation for the is_same_v class in ReduceUtils.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-reduceutils-h-is-same-v.html</guid>
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      <title>map_acc Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-reduceutils-h-map-acc.html</link>
      <description>Architecture documentation for the map_acc class in ReduceUtils.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-reduceutils-h-map-acc.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>_max Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-reduceutils-h-max.html</link>
      <description>Architecture documentation for the _max class in ReduceUtils.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-reduceutils-h-max.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>_min Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-reduceutils-h-min.html</link>
      <description>Architecture documentation for the _min class in ReduceUtils.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-reduceutils-h-min.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>reduce Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-reduceutils-h-reduce.html</link>
      <description>Architecture documentation for the reduce class in ReduceUtils.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-reduceutils-h-reduce.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>RegistrationHandleRAII Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-registrationhandleraii-h-registrationhandleraii.html</link>
      <description>Architecture documentation for the RegistrationHandleRAII class in RegistrationHandleRAII.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-registrationhandleraii-h-registrationhandleraii.html</guid>
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      <title>compute_cpu Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-repeat-cpp-compute-cpu.html</link>
      <description>Architecture documentation for the compute_cpu class in Repeat.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-repeat-cpp-compute-cpu.html</guid>
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      <title>compute Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-repeat-h-compute.html</link>
      <description>Architecture documentation for the compute class in Repeat.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-repeat-h-compute.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>TestMemoryReportingInfo Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-reportmemoryusage-h-testmemoryreportinginfo.html</link>
      <description>Architecture documentation for the TestMemoryReportingInfo class in reportMemoryUsage.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-reportmemoryusage-h-testmemoryreportinginfo.html</guid>
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      <title>Requantization Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-requantization-cc-requantization.html</link>
      <description>Architecture documentation for the Requantization class in requantization.cc from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-requantization-cc-requantization.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>RequantizationTester Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-requantization-tester-h-requantizationtester.html</link>
      <description>Architecture documentation for the RequantizationTester class in requantization-tester.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-requantization-tester-h-requantizationtester.html</guid>
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      <title>_resize_impl_ Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-resize-cpp-resize-impl.html</link>
      <description>Architecture documentation for the _resize_impl_ class in Resize.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-resize-cpp-resize-impl.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>_resize_output_check Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-resize-cpp-resize-output-check.html</link>
      <description>Architecture documentation for the _resize_output_check class in Resize.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-resize-cpp-resize-output-check.html</guid>
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      <title>_resize_output Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-resize-cpp-resize-output.html</link>
      <description>Architecture documentation for the _resize_output class in Resize.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-resize-cpp-resize-output.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>_resize_ Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-resize-cpp-resize.html</link>
      <description>Architecture documentation for the _resize_ class in Resize.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-resize-cpp-resize.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>checkInBoundsForStorage Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-resize-h-checkinboundsforstorage.html</link>
      <description>Architecture documentation for the checkInBoundsForStorage class in Resize.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-resize-h-checkinboundsforstorage.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>checkSetStorage Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-resize-h-checksetstorage.html</link>
      <description>Architecture documentation for the checkSetStorage class in Resize.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-resize-h-checksetstorage.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>maybe_convert_symint Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-resize-h-maybe-convert-symint.html</link>
      <description>Architecture documentation for the maybe_convert_symint class in Resize.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-resize-h-maybe-convert-symint.html</guid>
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      <title>setStrided Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-resize-h-setstrided.html</link>
      <description>Architecture documentation for the setStrided class in Resize.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-resize-h-setstrided.html</guid>
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      <title>storage_size_for Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-resizecommon-h-storage-size-for.html</link>
      <description>Architecture documentation for the storage_size_for class in ResizeCommon.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-resizecommon-h-storage-size-for.html</guid>
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      <title>create_params_buffer Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-resource-h-create-params-buffer.html</link>
      <description>Architecture documentation for the create_params_buffer class in Resource.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-resource-h-create-params-buffer.html</guid>
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      <title>data Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-resource-h-data.html</link>
      <description>Architecture documentation for the data class in Resource.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-resource-h-data.html</guid>
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      <title>ImageSampler Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-resource-h-imagesampler.html</link>
      <description>Architecture documentation for the ImageSampler class in Resource.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-resource-h-imagesampler.html</guid>
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      <title>MemoryAllocator Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-resource-h-memoryallocator.html</link>
      <description>Architecture documentation for the MemoryAllocator class in Resource.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-resource-h-memoryallocator.html</guid>
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      <title>MemoryMap Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-resource-h-memorymap.html</link>
      <description>Architecture documentation for the MemoryMap class in Resource.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-resource-h-memorymap.html</guid>
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      <title>SamplerCache Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-resource-h-samplercache.html</link>
      <description>Architecture documentation for the SamplerCache class in Resource.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-resource-h-samplercache.html</guid>
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      <title>VulkanBuffer Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-resource-h-vulkanbuffer.html</link>
      <description>Architecture documentation for the VulkanBuffer class in Resource.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-resource-h-vulkanbuffer.html</guid>
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      <title>VulkanFence Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-resource-h-vulkanfence.html</link>
      <description>Architecture documentation for the VulkanFence class in Resource.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-resource-h-vulkanfence.html</guid>
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      <title>VulkanImage Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-resource-h-vulkanimage.html</link>
      <description>Architecture documentation for the VulkanImage class in Resource.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-resource-h-vulkanimage.html</guid>
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      <title>RMaxMicrokernelTester Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-rmax-microkernel-tester-h-rmaxmicrokerneltester.html</link>
      <description>Architecture documentation for the RMaxMicrokernelTester class in rmax-microkernel-tester.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-rmax-microkernel-tester-h-rmaxmicrokerneltester.html</guid>
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      <title>_max_to Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-rng-test-h-max-to.html</link>
      <description>Architecture documentation for the _max_to class in rng_test.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-rng-test-h-max-to.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-rng-test-h-max-val.html</link>
      <description>Architecture documentation for the _max_val class in rng_test.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-rng-test-h-max-val.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-rng-test-h-min-from.html</link>
      <description>Architecture documentation for the _min_from class in rng_test.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-rng-test-h-min-from.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-rng-test-h-min-val.html</link>
      <description>Architecture documentation for the _min_val class in rng_test.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-rng-test-h-min-val.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-rnn-cpp-apply-layer-stack.html</link>
      <description>Architecture documentation for the apply_layer_stack class in RNN.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-rnn-cpp-apply-layer-stack.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-rnn-cpp-cell.html</link>
      <description>Architecture documentation for the Cell class in RNN.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-rnn-cpp-cell.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-rnn-cpp-cudnn-impl.html</link>
      <description>Architecture documentation for the _cudnn_impl class in RNN.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-rnn-cpp-cudnn-impl.html</guid>
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      <title>FullBidirectionalLayer Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-rnn-cpp-fullbidirectionallayer.html</link>
      <description>Architecture documentation for the FullBidirectionalLayer class in RNN.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-rnn-cpp-fullbidirectionallayer.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-rnn-cpp-fulllayer.html</link>
      <description>Architecture documentation for the FullLayer class in RNN.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-rnn-cpp-fulllayer.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-rnn-cpp-gate-count.html</link>
      <description>Architecture documentation for the gate_count class in RNN.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-rnn-cpp-gate-count.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-rnn-cpp-index.html</link>
      <description>Architecture documentation for the index class in RNN.cpp from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-rnn-cpp-input.html</link>
      <description>Architecture documentation for the input class in RNN.cpp from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-rnn-cpp-is-single-direction.html</link>
      <description>Architecture documentation for the is_single_direction class in RNN.cpp from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-rnn-cpp-layer.html</link>
      <description>Architecture documentation for the Layer class in RNN.cpp from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-rnn-cpp-lstm-impl.html</link>
      <description>Architecture documentation for the _lstm_impl class in RNN.cpp from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-rnn-cpp-mkldnn-impl.html</link>
      <description>Architecture documentation for the mkldnn_impl class in RNN.cpp from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-rnn-cpp-output-type.html</link>
      <description>Architecture documentation for the output_type class in RNN.cpp from the pytorch codebase.</description>
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      <description>Architecture documentation for the pack_hidden class in RNN.cpp from the pytorch codebase.</description>
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      <description>Architecture documentation for the pack_hidden class in RNN.cpp from the pytorch codebase.</description>
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      <description>Architecture documentation for the PackedBidirectionalLayer class in RNN.cpp from the pytorch codebase.</description>
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      <title>pair_vec Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-rnn-cpp-pair-vec.html</link>
      <description>Architecture documentation for the pair_vec class in RNN.cpp from the pytorch codebase.</description>
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      <title>ReversedPackedLayer Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-rnn-cpp-reversedpackedlayer.html</link>
      <description>Architecture documentation for the ReversedPackedLayer class in RNN.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-rnn-cpp-reversedpackedlayer.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>_rnn_impl_with_concat Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-rnn-cpp-rnn-impl-with-concat.html</link>
      <description>Architecture documentation for the _rnn_impl_with_concat class in RNN.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-rnn-cpp-rnn-impl-with-concat.html</guid>
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      <title>_rnn_impl Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-rnn-cpp-rnn-impl.html</link>
      <description>Architecture documentation for the _rnn_impl class in RNN.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-rnn-cpp-rnn-impl.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>unpair_vec Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-rnn-cpp-unpair-vec.html</link>
      <description>Architecture documentation for the unpair_vec class in RNN.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-rnn-cpp-unpair-vec.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>_miopen_impl Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-rnn-miopen-cpp-miopen-impl.html</link>
      <description>Architecture documentation for the _miopen_impl class in RNN_miopen.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-rnn-miopen-cpp-miopen-impl.html</guid>
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      <title>pack_hidden Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-rnn-miopen-cpp-pack-hidden.html</link>
      <description>Architecture documentation for the pack_hidden class in RNN_miopen.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-rnn-miopen-cpp-pack-hidden.html</guid>
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      <title>_rowwise_prune_helper Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-rowwiseprune-cpp-rowwise-prune-helper.html</link>
      <description>Architecture documentation for the _rowwise_prune_helper class in RowwisePrune.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-rowwiseprune-cpp-rowwise-prune-helper.html</guid>
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      <title>C10_EXPORT Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-rref-interface-h-c10-export.html</link>
      <description>Architecture documentation for the C10_EXPORT class in rref_interface.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-rref-interface-h-c10-export.html</guid>
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      <title>Runtime Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-runtime-h-runtime.html</link>
      <description>Architecture documentation for the Runtime class in Runtime.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-runtime-h-runtime.html</guid>
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      <title>sampled_addmm_sparse_csr_kernel_impl Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-sampledaddmmkernel-cpp-sampled-addmm-sparse-csr-kernel-impl.html</link>
      <description>Architecture documentation for the sampled_addmm_sparse_csr_kernel_impl class in SampledAddmmKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-sampledaddmmkernel-cpp-sampled-addmm-sparse-csr-kernel-impl.html</guid>
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      <title>NewBatchSampler Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-samplers-benchmark-py-newbatchsampler.html</link>
      <description>Architecture documentation for the NewBatchSampler class in samplers_benchmark.py from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-samplers-benchmark-py-newbatchsampler.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-scalarops-cpp-fill-inplace.html</link>
      <description>Architecture documentation for the fill_inplace class in ScalarOps.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-scalarops-cpp-fill-inplace.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-scaledblas-cpp-cublascommonargs.html</link>
      <description>Architecture documentation for the cublasCommonArgs class in ScaledBlas.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-scaledblas-cpp-cublascommonargs.html</guid>
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      <title>TensorBase Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-scankernels-h-tensorbase.html</link>
      <description>Architecture documentation for the TensorBase class in ScanKernels.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-scankernels-h-tensorbase.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>cpu_gather_expanded_index_kernel Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-scattergatherkernel-cpp-cpu-gather-expanded-index-kernel.html</link>
      <description>Architecture documentation for the cpu_gather_expanded_index_kernel class in ScatterGatherKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-scattergatherkernel-cpp-cpu-gather-expanded-index-kernel.html</guid>
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      <title>is_scatter_like Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-scattergatherkernel-cpp-is-scatter-like.html</link>
      <description>Architecture documentation for the is_scatter_like class in ScatterGatherKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-scattergatherkernel-cpp-is-scatter-like.html</guid>
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      <title>radix_sort_parallel Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-scattergatherkernel-cpp-radix-sort-parallel.html</link>
      <description>Architecture documentation for the radix_sort_parallel class in ScatterGatherKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-scattergatherkernel-cpp-radix-sort-parallel.html</guid>
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      <title>reduce Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-scattergatherkernel-cpp-reduce.html</link>
      <description>Architecture documentation for the reduce class in ScatterGatherKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-scattergatherkernel-cpp-reduce.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-scattergatherkernel-cpp-reduceadd.html</link>
      <description>Architecture documentation for the ReduceAdd class in ScatterGatherKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-scattergatherkernel-cpp-reduceadd.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-scattergatherkernel-cpp-reducemaximum.html</link>
      <description>Architecture documentation for the ReduceMaximum class in ScatterGatherKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-scattergatherkernel-cpp-reducemaximum.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-scattergatherkernel-cpp-reducemean.html</link>
      <description>Architecture documentation for the ReduceMean class in ScatterGatherKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-scattergatherkernel-cpp-reducemean.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-scattergatherkernel-cpp-reduceminimum.html</link>
      <description>Architecture documentation for the ReduceMinimum class in ScatterGatherKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-scattergatherkernel-cpp-reduceminimum.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-scattergatherkernel-cpp-reducemultiply.html</link>
      <description>Architecture documentation for the ReduceMultiply class in ScatterGatherKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-scattergatherkernel-cpp-reducemultiply.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-scattergatherkernel-cpp-self-data.html</link>
      <description>Architecture documentation for the self_data class in ScatterGatherKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-scattergatherkernel-cpp-self-data.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-scattergatherkernel-cpp-self.html</link>
      <description>Architecture documentation for the self class in ScatterGatherKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-scattergatherkernel-cpp-self.html</guid>
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      <title>TensorAssign Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-scattergatherkernel-cpp-tensorassign.html</link>
      <description>Architecture documentation for the TensorAssign class in ScatterGatherKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-scattergatherkernel-cpp-tensorassign.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-sdp-utils-cpp-caller-is-meff.html</link>
      <description>Architecture documentation for the caller_is_meff class in sdp_utils.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-sdp-utils-cpp-caller-is-meff.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-sdp-utils-cpp-check-sm-version.html</link>
      <description>Architecture documentation for the check_sm_version class in sdp_utils.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-sdp-utils-cpp-check-sm-version.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-sdp-utils-cpp-h-check-tensor-dtype.html</link>
      <description>Architecture documentation for the check_tensor_dtype class in sdp_utils_cpp.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-sdp-utils-cpp-h-check-tensor-dtype.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-sdp-utils-cpp-h-ignore-singleton-dim.html</link>
      <description>Architecture documentation for the ignore_singleton_dim class in sdp_utils_cpp.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-sdp-utils-cpp-h-ignore-singleton-dim.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-sdp-utils-cpp-h-requires-same-num-heads.html</link>
      <description>Architecture documentation for the requires_same_num_heads class in sdp_utils_cpp.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-sdp-utils-cpp-h-requires-same-num-heads.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-sdp-utils-cpp-h-supports-gqa.html</link>
      <description>Architecture documentation for the supports_gqa class in sdp_utils_cpp.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-sdp-utils-cpp-h-supports-gqa.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-sdp-utils-cpp-major.html</link>
      <description>Architecture documentation for the Major class in sdp_utils.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-sdp-utils-cpp-major.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-segmentreduce-cpp-is-offsets-like.html</link>
      <description>Architecture documentation for the is_offsets_like class in SegmentReduce.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-segmentreduce-cpp-is-offsets-like.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-segmentreduce-h-tensor.html</link>
      <description>Architecture documentation for the Tensor class in SegmentReduce.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-segmentreduce-h-tensor.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-serialstackimpl-h-can-use-native-serial-stack-impl.html</link>
      <description>Architecture documentation for the can_use_native_serial_stack_impl class in SerialStackImpl.h from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-serialstackimpl-h-result.html</link>
      <description>Architecture documentation for the result class in SerialStackImpl.h from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-serialstackimpl-h-should-skip-overlap-check.html</link>
      <description>Architecture documentation for the should_skip_overlap_check class in SerialStackImpl.h from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-serialstackimpl-h-stack-serial-kernel-impl.html</link>
      <description>Architecture documentation for the stack_serial_kernel_impl class in SerialStackImpl.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-serialstackimpl-h-stack-serial-kernel-impl.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-shader-h-shadercache.html</link>
      <description>Architecture documentation for the ShaderCache class in Shader.h from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-shader-h-shaderlayout.html</link>
      <description>Architecture documentation for the ShaderLayout class in Shader.h from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-shader-h-shaderlayoutcache.html</link>
      <description>Architecture documentation for the ShaderLayoutCache class in Shader.h from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-shader-h-shadermodule.html</link>
      <description>Architecture documentation for the ShaderModule class in Shader.h from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-shaderregistry-h-shaderregisterinit.html</link>
      <description>Architecture documentation for the ShaderRegisterInit class in ShaderRegistry.h from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-shaderregistry-h-shaderregistry.html</link>
      <description>Architecture documentation for the ShaderRegistry class in ShaderRegistry.h from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-sharedreduceops-h-acc-t.html</link>
      <description>Architecture documentation for the acc_t class in SharedReduceOps.h from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-sharedreduceops-h-apply-root.html</link>
      <description>Architecture documentation for the apply_root class in SharedReduceOps.h from the pytorch codebase.</description>
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      <title>arg_t Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-sharedreduceops-h-arg-t.html</link>
      <description>Architecture documentation for the arg_t class in SharedReduceOps.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-sharedreduceops-h-arg-t.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>bool Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-sharedreduceops-h-bool.html</link>
      <description>Architecture documentation for the bool class in SharedReduceOps.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-sharedreduceops-h-bool.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>max_propagate_nan Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-sharedreduceops-h-max-propagate-nan.html</link>
      <description>Architecture documentation for the max_propagate_nan class in SharedReduceOps.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-sharedreduceops-h-max-propagate-nan.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>min_propagate_nan Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-sharedreduceops-h-min-propagate-nan.html</link>
      <description>Architecture documentation for the min_propagate_nan class in SharedReduceOps.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-sharedreduceops-h-min-propagate-nan.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>reduce Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-sharedreduceops-h-reduce.html</link>
      <description>Architecture documentation for the reduce class in SharedReduceOps.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-sharedreduceops-h-reduce.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>scalar_t Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-sharedreduceops-h-scalar-t.html</link>
      <description>Architecture documentation for the scalar_t class in SharedReduceOps.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-sharedreduceops-h-scalar-t.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>T1 Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-sharedreduceops-h-t1.html</link>
      <description>Architecture documentation for the T1 class in SharedReduceOps.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-sharedreduceops-h-t1.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>typename Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-sharedreduceops-h-typename.html</link>
      <description>Architecture documentation for the typename class in SharedReduceOps.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-sharedreduceops-h-typename.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>SigmoidOperatorTester Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-sigmoid-operator-tester-h-sigmoidoperatortester.html</link>
      <description>Architecture documentation for the SigmoidOperatorTester class in sigmoid-operator-tester.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-sigmoid-operator-tester-h-sigmoidoperatortester.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>SoftArgMaxOperatorTester Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-softargmax-operator-tester-h-softargmaxoperatortester.html</link>
      <description>Architecture documentation for the SoftArgMaxOperatorTester class in softargmax-operator-tester.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-softargmax-operator-tester-h-softargmaxoperatortester.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>host_softmax_backward Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-softmax-cpp-host-softmax-backward.html</link>
      <description>Architecture documentation for the host_softmax_backward class in SoftMax.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-softmax-cpp-host-softmax-backward.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>host_softmax Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-softmax-cpp-host-softmax.html</link>
      <description>Architecture documentation for the host_softmax class in SoftMax.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-softmax-cpp-host-softmax.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>LogSoftMax Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-softmax-cpp-logsoftmax.html</link>
      <description>Architecture documentation for the LogSoftMax class in SoftMax.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-softmax-cpp-logsoftmax.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>is_same_v Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-softmaxkernel-cpp-is-same-v.html</link>
      <description>Architecture documentation for the is_same_v class in SoftMaxKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-softmaxkernel-cpp-is-same-v.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>log_softmax Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-softmaxkernel-cpp-log-softmax.html</link>
      <description>Architecture documentation for the log_softmax class in SoftMaxKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-softmaxkernel-cpp-log-softmax.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>LogSoftMax Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-softmaxkernel-cpp-logsoftmax.html</link>
      <description>Architecture documentation for the LogSoftMax class in SoftMaxKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-softmaxkernel-cpp-logsoftmax.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>scalar_t Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-softmaxkernel-cpp-scalar-t.html</link>
      <description>Architecture documentation for the scalar_t class in SoftMaxKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-softmaxkernel-cpp-scalar-t.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>_vec_log_softmax_lastdim Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-softmaxkernel-cpp-vec-log-softmax-lastdim.html</link>
      <description>Architecture documentation for the _vec_log_softmax_lastdim class in SoftMaxKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-softmaxkernel-cpp-vec-log-softmax-lastdim.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>Tensor Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-softmaxkernel-h-tensor.html</link>
      <description>Architecture documentation for the Tensor class in SoftmaxKernel.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-softmaxkernel-h-tensor.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>quick_select_template Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-sorting-cpp-quick-select-template.html</link>
      <description>Architecture documentation for the quick_select_template class in Sorting.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-sorting-cpp-quick-select-template.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>TensorBase Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-sorting-h-tensorbase-2.html</link>
      <description>Architecture documentation for the TensorBase class in Sorting.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-sorting-h-tensorbase-2.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>TensorBase Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-sorting-h-tensorbase.html</link>
      <description>Architecture documentation for the TensorBase class in Sorting.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-sorting-h-tensorbase.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>_dim_apply Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-sortingkernel-cpp-dim-apply.html</link>
      <description>Architecture documentation for the _dim_apply class in SortingKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-sortingkernel-cpp-dim-apply.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>lhs Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-sortingkernel-cpp-lhs.html</link>
      <description>Architecture documentation for the lhs class in SortingKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-sortingkernel-cpp-lhs.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>sort_kernel_impl Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-sortingkernel-cpp-sort-kernel-impl.html</link>
      <description>Architecture documentation for the sort_kernel_impl class in SortingKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-sortingkernel-cpp-sort-kernel-impl.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>is_lower Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-sparsebinaryopintersectioncommon-h-is-lower.html</link>
      <description>Architecture documentation for the is_lower class in SparseBinaryOpIntersectionCommon.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-sparsebinaryopintersectioncommon-h-is-lower.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>launch Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-sparsebinaryopintersectioncommon-h-launch.html</link>
      <description>Architecture documentation for the launch class in SparseBinaryOpIntersectionCommon.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-sparsebinaryopintersectioncommon-h-launch.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>max_static_len Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-sparsebinaryopintersectioncommon-h-max-static-len.html</link>
      <description>Architecture documentation for the max_static_len class in SparseBinaryOpIntersectionCommon.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-sparsebinaryopintersectioncommon-h-max-static-len.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>_sparse_binary_op_intersection_kernel_out Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-sparsebinaryopintersectioncommon-h-sparse-binary-op-intersection-kernel-out.html</link>
      <description>Architecture documentation for the _sparse_binary_op_intersection_kernel_out class in SparseBinaryOpIntersectionCommon.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-sparsebinaryopintersectioncommon-h-sparse-binary-op-intersection-kernel-out.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>apply Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-sparsebinaryopintersectionkernel-cpp-apply.html</link>
      <description>Architecture documentation for the apply class in SparseBinaryOpIntersectionKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-sparsebinaryopintersectionkernel-cpp-apply.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>iter Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-sparsebinaryopintersectionkernel-cpp-iter.html</link>
      <description>Architecture documentation for the iter class in SparseBinaryOpIntersectionKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-sparsebinaryopintersectionkernel-cpp-iter.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>lhs_values Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-sparsebinaryopintersectionkernel-cpp-lhs-values.html</link>
      <description>Architecture documentation for the lhs_values class in SparseBinaryOpIntersectionKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-sparsebinaryopintersectionkernel-cpp-lhs-values.html</guid>
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      <title>add Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-sparseblas-cpp-add.html</link>
      <description>Architecture documentation for the add class in SparseBlas.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-sparseblas-cpp-add.html</guid>
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      <title>create_bsr Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-sparseblas-cpp-create-bsr.html</link>
      <description>Architecture documentation for the create_bsr class in SparseBlas.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-sparseblas-cpp-create-bsr.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-sparseblas-cpp-create-csr.html</link>
      <description>Architecture documentation for the create_csr class in SparseBlas.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-sparseblas-cpp-create-csr.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-sparseblas-cpp-export-csr.html</link>
      <description>Architecture documentation for the export_csr class in SparseBlas.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-sparseblas-cpp-export-csr.html</guid>
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      <title>mm Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-sparseblas-cpp-mm.html</link>
      <description>Architecture documentation for the mm class in SparseBlas.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-sparseblas-cpp-mm.html</guid>
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      <title>mv Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-sparseblas-cpp-mv.html</link>
      <description>Architecture documentation for the mv class in SparseBlas.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-sparseblas-cpp-mv.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-sparseblas-cpp-spmmd.html</link>
      <description>Architecture documentation for the spmmd class in SparseBlas.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-sparseblas-cpp-spmmd.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-sparseblas-cpp-to-mkl-complex.html</link>
      <description>Architecture documentation for the to_mkl_complex class in SparseBlas.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-sparseblas-cpp-to-mkl-complex.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-sparseblas-cpp-trsm.html</link>
      <description>Architecture documentation for the trsm class in SparseBlas.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-sparseblas-cpp-trsm.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-sparseblas-cpp-trsv.html</link>
      <description>Architecture documentation for the trsv class in SparseBlas.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-sparseblas-cpp-trsv.html</guid>
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      <title>add Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-sparseblas-h-add.html</link>
      <description>Architecture documentation for the add class in SparseBlas.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-sparseblas-h-add.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-sparseblas-h-create-bsr.html</link>
      <description>Architecture documentation for the create_bsr class in SparseBlas.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-sparseblas-h-create-bsr.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-sparseblas-h-create-csr.html</link>
      <description>Architecture documentation for the create_csr class in SparseBlas.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-sparseblas-h-create-csr.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-sparseblas-h-export-csr.html</link>
      <description>Architecture documentation for the export_csr class in SparseBlas.h from the pytorch codebase.</description>
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      <title>mm Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-sparseblas-h-mm.html</link>
      <description>Architecture documentation for the mm class in SparseBlas.h from the pytorch codebase.</description>
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      <title>mv Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-sparseblas-h-mv.html</link>
      <description>Architecture documentation for the mv class in SparseBlas.h from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-sparseblas-h-spmmd.html</link>
      <description>Architecture documentation for the spmmd class in SparseBlas.h from the pytorch codebase.</description>
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      <title>trsm Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-sparseblas-h-trsm.html</link>
      <description>Architecture documentation for the trsm class in SparseBlas.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-sparseblas-h-trsm.html</guid>
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      <title>trsv Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-sparseblas-h-trsv.html</link>
      <description>Architecture documentation for the trsv class in SparseBlas.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-sparseblas-h-trsv.html</guid>
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      <title>add_out_sparse_eigen Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-sparseblasimpl-cpp-add-out-sparse-eigen.html</link>
      <description>Architecture documentation for the add_out_sparse_eigen class in SparseBlasImpl.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-sparseblasimpl-cpp-add-out-sparse-eigen.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>addmm_out_sparse_eigen Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-sparseblasimpl-cpp-addmm-out-sparse-eigen.html</link>
      <description>Architecture documentation for the addmm_out_sparse_eigen class in SparseBlasImpl.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-sparseblasimpl-cpp-addmm-out-sparse-eigen.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>addmv_out_sparse_csr Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-sparseblasimpl-cpp-addmv-out-sparse-csr.html</link>
      <description>Architecture documentation for the addmv_out_sparse_csr class in SparseBlasImpl.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-sparseblasimpl-cpp-addmv-out-sparse-csr.html</guid>
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      <title>addmv_sparse_bsr Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-sparseblasimpl-cpp-addmv-sparse-bsr.html</link>
      <description>Architecture documentation for the addmv_sparse_bsr class in SparseBlasImpl.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-sparseblasimpl-cpp-addmv-sparse-bsr.html</guid>
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      <title>addmv_sparse_csr Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-sparseblasimpl-cpp-addmv-sparse-csr.html</link>
      <description>Architecture documentation for the addmv_sparse_csr class in SparseBlasImpl.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-sparseblasimpl-cpp-addmv-sparse-csr.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>eigen_options Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-sparseblasimpl-cpp-eigen-options.html</link>
      <description>Architecture documentation for the eigen_options class in SparseBlasImpl.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-sparseblasimpl-cpp-eigen-options.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>mkl_result_copy_ Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-sparseblasimpl-cpp-mkl-result-copy.html</link>
      <description>Architecture documentation for the mkl_result_copy_ class in SparseBlasImpl.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-sparseblasimpl-cpp-mkl-result-copy.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>sparse_mm_mkl_template Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-sparsecsrlinearalgebra-cpp-sparse-mm-mkl-template.html</link>
      <description>Architecture documentation for the sparse_mm_mkl_template class in SparseCsrLinearAlgebra.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-sparsecsrlinearalgebra-cpp-sparse-mm-mkl-template.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-sparsecsrlinearalgebra-cpp-sparsecsrmklinterface.html</link>
      <description>Architecture documentation for the SparseCsrMKLInterface class in SparseCsrLinearAlgebra.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-sparsecsrlinearalgebra-cpp-sparsecsrmklinterface.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-sparsecsrtensor-cpp-require-view.html</link>
      <description>Architecture documentation for the require_view class in SparseCsrTensor.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-sparsecsrtensor-cpp-require-view.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-sparsecsrtensor-cpp-required-layout.html</link>
      <description>Architecture documentation for the required_layout class in SparseCsrTensor.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-sparsecsrtensor-cpp-required-layout.html</guid>
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      <title>shallow_copy_and_detach_core Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-sparsecsrtensorimpl-h-shallow-copy-and-detach-core.html</link>
      <description>Architecture documentation for the shallow_copy_and_detach_core class in SparseCsrTensorImpl.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-sparsecsrtensorimpl-h-shallow-copy-and-detach-core.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>addmm_out_sparse_csr_native_cpu Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-sparsecsrtensormath-cpp-addmm-out-sparse-csr-native-cpu.html</link>
      <description>Architecture documentation for the addmm_out_sparse_csr_native_cpu class in SparseCsrTensorMath.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-sparsecsrtensormath-cpp-addmm-out-sparse-csr-native-cpu.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>get_result_tensor_for_unary_op Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-sparsecsrtensormath-cpp-get-result-tensor-for-unary-op.html</link>
      <description>Architecture documentation for the get_result_tensor_for_unary_op class in SparseCsrTensorMath.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-sparsecsrtensormath-cpp-get-result-tensor-for-unary-op.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>intersection_binary_op_with_wrapped_scalar_ Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-sparsecsrtensormath-cpp-intersection-binary-op-with-wrapped-scalar-2.html</link>
      <description>Architecture documentation for the intersection_binary_op_with_wrapped_scalar_ class in SparseCsrTensorMath.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-sparsecsrtensormath-cpp-intersection-binary-op-with-wrapped-scalar-2.html</guid>
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      <title>intersection_binary_op_with_wrapped_scalar Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-sparsecsrtensormath-cpp-intersection-binary-op-with-wrapped-scalar.html</link>
      <description>Architecture documentation for the intersection_binary_op_with_wrapped_scalar class in SparseCsrTensorMath.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-sparsecsrtensormath-cpp-intersection-binary-op-with-wrapped-scalar.html</guid>
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      <title>reduce_sparse_csr_cpu_template Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-sparsecsrtensormath-cpp-reduce-sparse-csr-cpu-template.html</link>
      <description>Architecture documentation for the reduce_sparse_csr_cpu_template class in SparseCsrTensorMath.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-sparsecsrtensormath-cpp-reduce-sparse-csr-cpu-template.html</guid>
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      <title>reduce_sparse_csr_dim0_cpu_template Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-sparsecsrtensormath-cpp-reduce-sparse-csr-dim0-cpu-template.html</link>
      <description>Architecture documentation for the reduce_sparse_csr_dim0_cpu_template class in SparseCsrTensorMath.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-sparsecsrtensormath-cpp-reduce-sparse-csr-dim0-cpu-template.html</guid>
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      <title>reduce_sparse_csr_dim01_cpu_template Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-sparsecsrtensormath-cpp-reduce-sparse-csr-dim01-cpu-template.html</link>
      <description>Architecture documentation for the reduce_sparse_csr_dim01_cpu_template class in SparseCsrTensorMath.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-sparsecsrtensormath-cpp-reduce-sparse-csr-dim01-cpu-template.html</guid>
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      <title>reduce_sparse_csr_dim1_cpu_template Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-sparsecsrtensormath-cpp-reduce-sparse-csr-dim1-cpu-template.html</link>
      <description>Architecture documentation for the reduce_sparse_csr_dim1_cpu_template class in SparseCsrTensorMath.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-sparsecsrtensormath-cpp-reduce-sparse-csr-dim1-cpu-template.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>unary_op_inplace Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-sparsecsrtensormath-cpp-unary-op-inplace.html</link>
      <description>Architecture documentation for the unary_op_inplace class in SparseCsrTensorMath.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-sparsecsrtensormath-cpp-unary-op-inplace.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>unary_op_out Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-sparsecsrtensormath-cpp-unary-op-out.html</link>
      <description>Architecture documentation for the unary_op_out class in SparseCsrTensorMath.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-sparsecsrtensormath-cpp-unary-op-out.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>train Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-sparsecsrtensormath-h-train.html</link>
      <description>Architecture documentation for the train class in SparseCsrTensorMath.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-sparsecsrtensormath-h-train.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>CheckSparseTensorInvariants Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-sparsecsrtensorutils-h-checksparsetensorinvariants.html</link>
      <description>Architecture documentation for the CheckSparseTensorInvariants class in SparseCsrTensorUtils.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-sparsecsrtensorutils-h-checksparsetensorinvariants.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>create_acc_buffer Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-sparsecsrtensorutils-h-create-acc-buffer.html</link>
      <description>Architecture documentation for the create_acc_buffer class in SparseCsrTensorUtils.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-sparsecsrtensorutils-h-create-acc-buffer.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-sparsecsrtensorutils-h-only-sparse-compressed-binary-op-trivial-cases.html</link>
      <description>Architecture documentation for the only_sparse_compressed_binary_op_trivial_cases class in SparseCsrTensorUtils.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-sparsecsrtensorutils-h-only-sparse-compressed-binary-op-trivial-cases.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-sparsecudablas-cpp-csrmm2-2.html</link>
      <description>Architecture documentation for the csrmm2 class in SparseCUDABlas.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-sparsecudablas-cpp-csrmm2-2.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-sparsecudablas-cpp-csrmm2.html</link>
      <description>Architecture documentation for the _csrmm2 class in SparseCUDABlas.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-sparsecudablas-cpp-csrmm2.html</guid>
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      <title>void Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-sparsecudablas-h-void.html</link>
      <description>Architecture documentation for the void class in SparseCUDABlas.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-sparsecudablas-h-void.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-sparsedescriptors-h-destructor.html</link>
      <description>Architecture documentation for the destructor class in SparseDescriptors.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-sparsedescriptors-h-destructor.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-sparsedescriptors-h-mkl-sparse-destroy.html</link>
      <description>Architecture documentation for the mkl_sparse_destroy class in SparseDescriptors.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-sparsedescriptors-h-mkl-sparse-destroy.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-sparsedescriptors-h-mklsparsecsrdescriptor.html</link>
      <description>Architecture documentation for the MklSparseCsrDescriptor class in SparseDescriptors.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-sparsedescriptors-h-mklsparsecsrdescriptor.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-sparsedescriptors-h-mklsparsedescriptor.html</link>
      <description>Architecture documentation for the MklSparseDescriptor class in SparseDescriptors.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-sparsedescriptors-h-mklsparsedescriptor.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-sparsefactories-h-tensorbase.html</link>
      <description>Architecture documentation for the TensorBase class in SparseFactories.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-sparsefactories-h-tensorbase.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-sparsematmul-cpp-csr-matmult-maxnnz.html</link>
      <description>Architecture documentation for the _csr_matmult_maxnnz class in SparseMatMul.cpp from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-sparsematmul-cpp-csr-matmult.html</link>
      <description>Architecture documentation for the _csr_matmult class in SparseMatMul.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-sparsematmul-cpp-csr-matmult.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-sparsematmul-cpp-sparse-matmul-kernel.html</link>
      <description>Architecture documentation for the sparse_matmul_kernel class in SparseMatMul.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-sparsematmul-cpp-sparse-matmul-kernel.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-sparsesemistructuredpack-h-dim3.html</link>
      <description>Architecture documentation for the dim3 class in SparseSemiStructuredPack.h from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-sparsesemistructuredpack-h-void.html</link>
      <description>Architecture documentation for the void class in SparseSemiStructuredPack.h from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-sparsestubs-h-tensor.html</link>
      <description>Architecture documentation for the Tensor class in SparseStubs.h from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-sparsetensorimpl-h-resize.html</link>
      <description>Architecture documentation for the _resize_ class in SparseTensorImpl.h from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-sparsetensorimpl-h-shallow-copy-and-detach-core.html</link>
      <description>Architecture documentation for the shallow_copy_and_detach_core class in SparseTensorImpl.h from the pytorch codebase.</description>
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      <title>add_dense_sparse_worker_hybrid_cpu Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-sparsetensormath-cpp-add-dense-sparse-worker-hybrid-cpu.html</link>
      <description>Architecture documentation for the add_dense_sparse_worker_hybrid_cpu class in SparseTensorMath.cpp from the pytorch codebase.</description>
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      <title>add_dense_sparse_worker_non_coalesced_cpu Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-sparsetensormath-cpp-add-dense-sparse-worker-non-coalesced-cpu.html</link>
      <description>Architecture documentation for the add_dense_sparse_worker_non_coalesced_cpu class in SparseTensorMath.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-sparsetensormath-cpp-add-dense-sparse-worker-non-coalesced-cpu.html</guid>
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      <title>add_dense_sparse_worker_non_hybrid_cpu Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-sparsetensormath-cpp-add-dense-sparse-worker-non-hybrid-cpu.html</link>
      <description>Architecture documentation for the add_dense_sparse_worker_non_hybrid_cpu class in SparseTensorMath.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-sparsetensormath-cpp-add-dense-sparse-worker-non-hybrid-cpu.html</guid>
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      <title>binary_search_strided_rightmost Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-sparsetensormath-cpp-binary-search-strided-rightmost.html</link>
      <description>Architecture documentation for the binary_search_strided_rightmost class in SparseTensorMath.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-sparsetensormath-cpp-binary-search-strided-rightmost.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>intersection_binary_op_sparse_dense_out Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-sparsetensormath-cpp-intersection-binary-op-sparse-dense-out.html</link>
      <description>Architecture documentation for the intersection_binary_op_sparse_dense_out class in SparseTensorMath.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-sparsetensormath-cpp-intersection-binary-op-sparse-dense-out.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>s_addmm_out_sparse_dense_worker Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-sparsetensormath-cpp-s-addmm-out-sparse-dense-worker.html</link>
      <description>Architecture documentation for the s_addmm_out_sparse_dense_worker class in SparseTensorMath.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-sparsetensormath-cpp-s-addmm-out-sparse-dense-worker.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>static_shape_max_len Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-sparsetensorutils-h-static-shape-max-len.html</link>
      <description>Architecture documentation for the static_shape_max_len class in SparseTensorUtils.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-sparsetensorutils-h-static-shape-max-len.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>TensorGeometryHolder Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-sparsetensorutils-h-tensorgeometryholder.html</link>
      <description>Architecture documentation for the TensorGeometryHolder class in SparseTensorUtils.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-sparsetensorutils-h-tensorgeometryholder.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>coalesced_unary_ufunc_ Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-sparseunaryops-cpp-coalesced-unary-ufunc-2.html</link>
      <description>Architecture documentation for the coalesced_unary_ufunc_ class in SparseUnaryOps.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-sparseunaryops-cpp-coalesced-unary-ufunc-2.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>coalesced_unary_ufunc_out Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-sparseunaryops-cpp-coalesced-unary-ufunc-out.html</link>
      <description>Architecture documentation for the coalesced_unary_ufunc_out class in SparseUnaryOps.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-sparseunaryops-cpp-coalesced-unary-ufunc-out.html</guid>
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      <title>coalesced_unary_ufunc Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-sparseunaryops-cpp-coalesced-unary-ufunc.html</link>
      <description>Architecture documentation for the coalesced_unary_ufunc class in SparseUnaryOps.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-sparseunaryops-cpp-coalesced-unary-ufunc.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>compute_fct Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-spectralops-cpp-compute-fct.html</link>
      <description>Architecture documentation for the compute_fct class in SpectralOps.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-spectralops-cpp-compute-fct.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>tensor_cdata Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-spectralops-cpp-tensor-cdata.html</link>
      <description>Architecture documentation for the tensor_cdata class in SpectralOps.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-spectralops-cpp-tensor-cdata.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>void Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-spectralops-cpp-void.html</link>
      <description>Architecture documentation for the void class in SpectralOps.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-spectralops-cpp-void.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>write_opt Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-spectralops-cpp-write-opt.html</link>
      <description>Architecture documentation for the write_opt class in SpectralOps.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-spectralops-cpp-write-opt.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>reduce Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-spmmreducekernel-cpp-reduce.html</link>
      <description>Architecture documentation for the reduce class in SpmmReduceKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-spmmreducekernel-cpp-reduce.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>spmm_reduce_backward_input_arg_kernel_impl Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-spmmreducekernel-cpp-spmm-reduce-backward-input-arg-kernel-impl.html</link>
      <description>Architecture documentation for the spmm_reduce_backward_input_arg_kernel_impl class in SpmmReduceKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-spmmreducekernel-cpp-spmm-reduce-backward-input-arg-kernel-impl.html</guid>
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      <title>spmm_reduce_backward_other_arg_kernel_impl Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-spmmreducekernel-cpp-spmm-reduce-backward-other-arg-kernel-impl.html</link>
      <description>Architecture documentation for the spmm_reduce_backward_other_arg_kernel_impl class in SpmmReduceKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-spmmreducekernel-cpp-spmm-reduce-backward-other-arg-kernel-impl.html</guid>
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      <title>spmm_reduce_normalize_values_kernel_impl Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-spmmreducekernel-cpp-spmm-reduce-normalize-values-kernel-impl.html</link>
      <description>Architecture documentation for the spmm_reduce_normalize_values_kernel_impl class in SpmmReduceKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-spmmreducekernel-cpp-spmm-reduce-normalize-values-kernel-impl.html</guid>
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      <title>Args Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-stack-h-args.html</link>
      <description>Architecture documentation for the Args class in stack.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-stack-h-args.html</guid>
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      <title>pack Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-stack-h-pack.html</link>
      <description>Architecture documentation for the pack class in stack.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-stack-h-pack.html</guid>
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      <title>pop Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-stack-h-pop.html</link>
      <description>Architecture documentation for the pop class in stack.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-stack-h-pop.html</guid>
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      <title>push_list_elements Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-stack-h-push-list-elements.html</link>
      <description>Architecture documentation for the push_list_elements class in stack.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-stack-h-push-list-elements.html</guid>
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      <title>push_one Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-stack-h-push-one.html</link>
      <description>Architecture documentation for the push_one class in stack.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-stack-h-push-one.html</guid>
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      <title>push Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-stack-h-push.html</link>
      <description>Architecture documentation for the push class in stack.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-stack-h-push.html</guid>
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      <title>remaining Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-stack-h-remaining.html</link>
      <description>Architecture documentation for the remaining class in stack.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-stack-h-remaining.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-stack-h-target.html</link>
      <description>Architecture documentation for the target class in stack.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-stack-h-target.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-stack-h-value.html</link>
      <description>Architecture documentation for the value class in stack.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-stack-h-value.html</guid>
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      <title>NumElements Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-staticsort-h-numelements.html</link>
      <description>Architecture documentation for the NumElements class in StaticSort.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-staticsort-h-numelements.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-staticsort-h-staticsort.html</link>
      <description>Architecture documentation for the StaticSort class in StaticSort.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-staticsort-h-staticsort.html</guid>
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      <title>void Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-staticsort-h-void.html</link>
      <description>Architecture documentation for the void class in StaticSort.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-staticsort-h-void.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-storageutils-h-tensorbase.html</link>
      <description>Architecture documentation for the TensorBase class in StorageUtils.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-storageutils-h-tensorbase.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-streamtimer-h-streamtimer.html</link>
      <description>Architecture documentation for the StreamTimer class in StreamTimer.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-streamtimer-h-streamtimer.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-streamtimer-h-streamtimernosync.html</link>
      <description>Architecture documentation for the StreamTimerNoSync class in StreamTimer.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-streamtimer-h-streamtimernosync.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-stridedrandomaccessor-h-conststridedrandomaccessor.html</link>
      <description>Architecture documentation for the ConstStridedRandomAccessor class in StridedRandomAccessor.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-stridedrandomaccessor-h-conststridedrandomaccessor.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-stridedrandomaccessor-h-ptr.html</link>
      <description>Architecture documentation for the ptr class in StridedRandomAccessor.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-stridedrandomaccessor-h-ptr.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-stridedrandomaccessor-h-stridedrandomaccessor.html</link>
      <description>Architecture documentation for the StridedRandomAccessor class in StridedRandomAccessor.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-stridedrandomaccessor-h-stridedrandomaccessor.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-stringutil-h-args.html</link>
      <description>Architecture documentation for the args class in StringUtil.h from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-stringutil-h-compiletimeemptystring.html</link>
      <description>Architecture documentation for the CompileTimeEmptyString class in StringUtil.h from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-stringutil-h-concat-str.html</link>
      <description>Architecture documentation for the concat_str class in StringUtil.h from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-stringutil-h-str.html</link>
      <description>Architecture documentation for the _str class in StringUtil.h from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-sumkernel-cpp-c10-restrict.html</link>
      <description>Architecture documentation for the C10_RESTRICT class in SumKernel.cpp from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-sumkernel-cpp-ignore-nan.html</link>
      <description>Architecture documentation for the ignore_nan class in SumKernel.cpp from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-sumkernel-cpp-is-reduced-floating-point-v.html</link>
      <description>Architecture documentation for the is_reduced_floating_point_v class in SumKernel.cpp from the pytorch codebase.</description>
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      <description>Architecture documentation for the load_reduce_vec class in SumKernel.cpp from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-sumkernel-cpp-nrows.html</link>
      <description>Architecture documentation for the nrows class in SumKernel.cpp from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-sumkernel-cpp-numel.html</link>
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      <title>row_sum Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-sumkernel-cpp-row-sum.html</link>
      <description>Architecture documentation for the row_sum class in SumKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-sumkernel-cpp-row-sum.html</guid>
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      <title>scalar_inner_sum Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-sumkernel-cpp-scalar-inner-sum.html</link>
      <description>Architecture documentation for the scalar_inner_sum class in SumKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-sumkernel-cpp-scalar-inner-sum.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>scalar_outer_sum Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-sumkernel-cpp-scalar-outer-sum.html</link>
      <description>Architecture documentation for the scalar_outer_sum class in SumKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-sumkernel-cpp-scalar-outer-sum.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>scalar_t Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-sumkernel-cpp-scalar-t.html</link>
      <description>Architecture documentation for the scalar_t class in SumKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-sumkernel-cpp-scalar-t.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>store Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-sumkernel-cpp-store.html</link>
      <description>Architecture documentation for the store class in SumKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-sumkernel-cpp-store.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>vec_t Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-sumkernel-cpp-vec-t.html</link>
      <description>Architecture documentation for the vec_t class in SumKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-sumkernel-cpp-vec-t.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>vectorized_inner_sum Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-sumkernel-cpp-vectorized-inner-sum.html</link>
      <description>Architecture documentation for the vectorized_inner_sum class in SumKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-sumkernel-cpp-vectorized-inner-sum.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>vectorized_outer_sum Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-sumkernel-cpp-vectorized-outer-sum.html</link>
      <description>Architecture documentation for the vectorized_outer_sum class in SumKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-sumkernel-cpp-vectorized-outer-sum.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>_bincount_cpu_template Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-summaryops-cpp-bincount-cpu-template.html</link>
      <description>Architecture documentation for the _bincount_cpu_template class in SummaryOps.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-summaryops-cpp-bincount-cpu-template.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>TanHOperatorTester Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-tanh-operator-tester-h-tanhoperatortester.html</link>
      <description>Architecture documentation for the TanHOperatorTester class in tanh-operator-tester.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-tanh-operator-tester-h-tanhoperatortester.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>register_hook Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-tensor-h-register-hook.html</link>
      <description>Architecture documentation for the register_hook class in Tensor.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-tensor-h-register-hook.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>TORCH_API Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-tensor-h-torch-api.html</link>
      <description>Architecture documentation for the TORCH_API class in Tensor.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-tensor-h-torch-api.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>vTensor Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-tensor-h-vtensor.html</link>
      <description>Architecture documentation for the vTensor class in Tensor.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-tensor-h-vtensor.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>vTensorStorage Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-tensor-h-vtensorstorage.html</link>
      <description>Architecture documentation for the vTensorStorage class in Tensor.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-tensor-h-vtensorstorage.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>Tensor_float32 Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-tensor-java-tensor-float32.html</link>
      <description>Architecture documentation for the Tensor_float32 class in Tensor.java from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-tensor-java-tensor-float32.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>Tensor_float64 Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-tensor-java-tensor-float64.html</link>
      <description>Architecture documentation for the Tensor_float64 class in Tensor.java from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-tensor-java-tensor-float64.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>Tensor_int32 Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-tensor-java-tensor-int32.html</link>
      <description>Architecture documentation for the Tensor_int32 class in Tensor.java from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-tensor-java-tensor-int32.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>Tensor_int64 Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-tensor-java-tensor-int64.html</link>
      <description>Architecture documentation for the Tensor_int64 class in Tensor.java from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-tensor-java-tensor-int64.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>Tensor_int8 Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-tensor-java-tensor-int8.html</link>
      <description>Architecture documentation for the Tensor_int8 class in Tensor.java from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-tensor-java-tensor-int8.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>Tensor_uint8 Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-tensor-java-tensor-uint8.html</link>
      <description>Architecture documentation for the Tensor_uint8 class in Tensor.java from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-tensor-java-tensor-uint8.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>Tensor Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-tensor-java-tensor.html</link>
      <description>Architecture documentation for the Tensor class in Tensor.java from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-tensor-java-tensor.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>is_null_or_equal Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-tensor-type-cpp-is-null-or-equal.html</link>
      <description>Architecture documentation for the is_null_or_equal class in tensor_type.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-tensor-type-cpp-is-null-or-equal.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>merge Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-tensor-type-cpp-merge.html</link>
      <description>Architecture documentation for the merge class in tensor_type.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-tensor-type-cpp-merge.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>out Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-tensor-type-cpp-out.html</link>
      <description>Architecture documentation for the out class in tensor_type.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-tensor-type-cpp-out.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>check_indexarray_range Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-tensoradvancedindexing-cpp-check-indexarray-range.html</link>
      <description>Architecture documentation for the check_indexarray_range class in TensorAdvancedIndexing.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-tensoradvancedindexing-cpp-check-indexarray-range.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>count_nonzero_impl Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-tensoradvancedindexing-cpp-count-nonzero-impl.html</link>
      <description>Architecture documentation for the count_nonzero_impl class in TensorAdvancedIndexing.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-tensoradvancedindexing-cpp-count-nonzero-impl.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>index_func_meta_impl Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-tensoradvancedindexing-cpp-index-func-meta-impl.html</link>
      <description>Architecture documentation for the index_func_meta_impl class in TensorAdvancedIndexing.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-tensoradvancedindexing-cpp-index-func-meta-impl.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>use_new_options Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-tensoradvancedindexing-cpp-use-new-options.html</link>
      <description>Architecture documentation for the use_new_options class in TensorAdvancedIndexing.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-tensoradvancedindexing-cpp-use-new-options.html</guid>
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      <title>const_data_ptr Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-tensorbase-h-const-data-ptr.html</link>
      <description>Architecture documentation for the const_data_ptr class in TensorBase.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-tensorbase-h-const-data-ptr.html</guid>
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      <title>data_ptr Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-tensorbase-h-data-ptr.html</link>
      <description>Architecture documentation for the data_ptr class in TensorBase.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-tensorbase-h-data-ptr.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>ExclusivelyOwnedTraits Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-tensorbase-h-exclusivelyownedtraits.html</link>
      <description>Architecture documentation for the ExclusivelyOwnedTraits class in TensorBase.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-tensorbase-h-exclusivelyownedtraits.html</guid>
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      <title>from Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-tensorbase-h-from.html</link>
      <description>Architecture documentation for the from class in TensorBase.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-tensorbase-h-from.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-tensorbase-h-is-const-v.html</link>
      <description>Architecture documentation for the is_const_v class in TensorBase.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-tensorbase-h-is-const-v.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-tensorbase-h-make-tensor-base.html</link>
      <description>Architecture documentation for the make_tensor_base class in TensorBase.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-tensorbase-h-make-tensor-base.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-tensorbase-h-mutable-data-ptr.html</link>
      <description>Architecture documentation for the mutable_data_ptr class in TensorBase.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-tensorbase-h-mutable-data-ptr.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-tensorbase-h-numel.html</link>
      <description>Architecture documentation for the numel class in TensorBase.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-tensorbase-h-numel.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-tensorbase-h-register-hook.html</link>
      <description>Architecture documentation for the register_hook class in TensorBase.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-tensorbase-h-register-hook.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-tensorbase-h-scalar.html</link>
      <description>Architecture documentation for the Scalar class in TensorBase.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-tensorbase-h-scalar.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-tensorbase-h-size.html</link>
      <description>Architecture documentation for the size class in TensorBase.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-tensorbase-h-size.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-tensorbase-h-sizes.html</link>
      <description>Architecture documentation for the sizes class in TensorBase.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-tensorbase-h-sizes.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-tensorbase-h-strides.html</link>
      <description>Architecture documentation for the strides class in TensorBase.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-tensorbase-h-strides.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-tensorbase-h-tensor.html</link>
      <description>Architecture documentation for the Tensor class in TensorBase.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-tensorbase-h-tensor.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-tensorbase-h-tensorbase.html</link>
      <description>Architecture documentation for the TensorBase class in TensorBase.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-tensorbase-h-tensorbase.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-tensorbase-h-torch-api.html</link>
      <description>Architecture documentation for the TORCH_API class in TensorBase.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-tensorbase-h-torch-api.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-tensorbody-h-createinplace.html</link>
      <description>Architecture documentation for the createInPlace class in TensorBody.h from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-tensorbody-h-deprecatedtypeproperties.html</link>
      <description>Architecture documentation for the DeprecatedTypeProperties class in TensorBody.h from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-tensorbody-h-from.html</link>
      <description>Architecture documentation for the from class in TensorBody.h from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-tensorbody-h-ilistref.html</link>
      <description>Architecture documentation for the IListRef class in TensorBody.h from the pytorch codebase.</description>
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      <description>Architecture documentation for the item class in TensorBody.h from the pytorch codebase.</description>
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      <description>Architecture documentation for the List class in TensorBody.h from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-tensorbody-h-make-tensor.html</link>
      <description>Architecture documentation for the make_tensor class in TensorBody.h from the pytorch codebase.</description>
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      <title>OptionalTensorRef Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-tensorbody-h-optionaltensorref.html</link>
      <description>Architecture documentation for the OptionalTensorRef class in TensorBody.h from the pytorch codebase.</description>
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      <title>register_hook Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-tensorbody-h-register-hook.html</link>
      <description>Architecture documentation for the register_hook class in TensorBody.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-tensorbody-h-register-hook.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>Tensor Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-tensorbody-h-tensor.html</link>
      <description>Architecture documentation for the Tensor class in TensorBody.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-tensorbody-h-tensor.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>TensorRef Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-tensorbody-h-tensorref.html</link>
      <description>Architecture documentation for the TensorRef class in TensorBody.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-tensorbody-h-tensorref.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>TORCH_API Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-tensorbody-h-torch-api.html</link>
      <description>Architecture documentation for the TORCH_API class in TensorBody.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-tensorbody-h-torch-api.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>minmax_out_impl Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-tensorcompare-cpp-minmax-out-impl.html</link>
      <description>Architecture documentation for the minmax_out_impl class in TensorCompare.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-tensorcompare-cpp-minmax-out-impl.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>out_device Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-tensorcompare-cpp-out-device.html</link>
      <description>Architecture documentation for the out_device class in TensorCompare.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-tensorcompare-cpp-out-device.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>Scalar Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-tensorcompare-h-scalar.html</link>
      <description>Architecture documentation for the Scalar class in TensorCompare.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-tensorcompare-h-scalar.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>Tensor Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-tensorcompare-h-tensor.html</link>
      <description>Architecture documentation for the Tensor class in TensorCompare.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-tensorcompare-h-tensor.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>compare_base_kernel_core Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-tensorcomparekernel-cpp-compare-base-kernel-core.html</link>
      <description>Architecture documentation for the compare_base_kernel_core class in TensorCompareKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-tensorcomparekernel-cpp-compare-base-kernel-core.html</guid>
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      <title>compare_base_kernel Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-tensorcomparekernel-cpp-compare-base-kernel.html</link>
      <description>Architecture documentation for the compare_base_kernel class in TensorCompareKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-tensorcomparekernel-cpp-compare-base-kernel.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>compressed_count_blocks Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-tensorconversions-cpp-compressed-count-blocks.html</link>
      <description>Architecture documentation for the compressed_count_blocks class in TensorConversions.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-tensorconversions-cpp-compressed-count-blocks.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>compressed_rows Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-tensorconversions-cpp-compressed-rows.html</link>
      <description>Architecture documentation for the compressed_rows class in TensorConversions.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-tensorconversions-cpp-compressed-rows.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>convert_indices_from_coo_to_csr_cpu Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-tensorconversions-cpp-convert-indices-from-coo-to-csr-cpu.html</link>
      <description>Architecture documentation for the convert_indices_from_coo_to_csr_cpu class in TensorConversions.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-tensorconversions-cpp-convert-indices-from-coo-to-csr-cpu.html</guid>
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      <title>convert_indices_from_csr_to_coo_cpu Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-tensorconversions-cpp-convert-indices-from-csr-to-coo-cpu.html</link>
      <description>Architecture documentation for the convert_indices_from_csr_to_coo_cpu class in TensorConversions.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-tensorconversions-cpp-convert-indices-from-csr-to-coo-cpu.html</guid>
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      <title>is_null_or_equal_to Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-tensorconversions-cpp-is-null-or-equal-to.html</link>
      <description>Architecture documentation for the is_null_or_equal_to class in TensorConversions.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-tensorconversions-cpp-is-null-or-equal-to.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>target_layout Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-tensorconversions-cpp-target-layout.html</link>
      <description>Architecture documentation for the target_layout class in TensorConversions.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-tensorconversions-cpp-target-layout.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>Tensor Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-tensorconversions-h-tensor.html</link>
      <description>Architecture documentation for the Tensor class in TensorConversions.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-tensorconversions-h-tensor.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>tensor_dim_apply3 Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-tensordimapply-h-tensor-dim-apply3.html</link>
      <description>Architecture documentation for the tensor_dim_apply3 class in TensorDimApply.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-tensordimapply-h-tensor-dim-apply3.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>randperm_cpu Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-tensorfactories-cpp-randperm-cpu.html</link>
      <description>Architecture documentation for the randperm_cpu class in TensorFactories.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-tensorfactories-cpp-randperm-cpu.html</guid>
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      <title>tensor_backend Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-tensorfactories-cpp-tensor-backend.html</link>
      <description>Architecture documentation for the tensor_backend class in TensorFactories.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-tensorfactories-cpp-tensor-backend.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>tensor_complex_backend Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-tensorfactories-cpp-tensor-complex-backend.html</link>
      <description>Architecture documentation for the tensor_complex_backend class in TensorFactories.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-tensorfactories-cpp-tensor-complex-backend.html</guid>
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      <title>tensor_complex_cpu Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-tensorfactories-cpp-tensor-complex-cpu.html</link>
      <description>Architecture documentation for the tensor_complex_cpu class in TensorFactories.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-tensorfactories-cpp-tensor-complex-cpu.html</guid>
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      <title>tensor_cpu Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-tensorfactories-cpp-tensor-cpu.html</link>
      <description>Architecture documentation for the tensor_cpu class in TensorFactories.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-tensorfactories-cpp-tensor-cpu.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>_geometry_is_contiguous Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-tensorgeometry-cpp-geometry-is-contiguous.html</link>
      <description>Architecture documentation for the _geometry_is_contiguous class in TensorGeometry.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-tensorgeometry-cpp-geometry-is-contiguous.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>NativePeer Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-tensorimageutils-java-nativepeer.html</link>
      <description>Architecture documentation for the NativePeer class in TensorImageUtils.java from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-tensorimageutils-java-nativepeer.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>TensorImageUtils Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-tensorimageutils-java-tensorimageutils.html</link>
      <description>Architecture documentation for the TensorImageUtils class in TensorImageUtils.java from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-tensorimageutils-java-tensorimageutils.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>TensorIndex Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-tensorindexing-h-tensorindex.html</link>
      <description>Architecture documentation for the TensorIndex class in TensorIndexing.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-tensorindexing-h-tensorindex.html</guid>
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      <title>OptionalTensorRef Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-tensoriterator-h-optionaltensorref.html</link>
      <description>Architecture documentation for the OptionalTensorRef class in TensorIterator.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-tensoriterator-h-optionaltensorref.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>original_scalar_value Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-tensoriterator-h-original-scalar-value.html</link>
      <description>Architecture documentation for the original_scalar_value class in TensorIterator.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-tensoriterator-h-original-scalar-value.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-tensoriterator-h-scalar-value.html</link>
      <description>Architecture documentation for the scalar_value class in TensorIterator.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-tensoriterator-h-scalar-value.html</guid>
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      <title>strides Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-tensoriterator-h-strides.html</link>
      <description>Architecture documentation for the strides class in TensorIterator.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-tensoriterator-h-strides.html</guid>
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      <title>Tensor Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-tensoriterator-h-tensor.html</link>
      <description>Architecture documentation for the Tensor class in TensorIterator.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-tensoriterator-h-tensor.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-tensoriterator-h-tensoriteratorconfig.html</link>
      <description>Architecture documentation for the TensorIteratorConfig class in TensorIterator.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-tensoriterator-h-tensoriteratorconfig.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-tensoriterator-h-torch-api.html</link>
      <description>Architecture documentation for the TORCH_API class in TensorIterator.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-tensoriterator-h-torch-api.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-tensoriteratordynamiccasting-h-iter.html</link>
      <description>Architecture documentation for the iter class in TensorIteratorDynamicCasting.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-tensoriteratordynamiccasting-h-iter.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-tensoriteratordynamiccasting-h-nargs.html</link>
      <description>Architecture documentation for the nargs class in TensorIteratorDynamicCasting.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-tensoriteratordynamiccasting-h-nargs.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-tensormeta-h-tensor.html</link>
      <description>Architecture documentation for the Tensor class in TensorMeta.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-tensormeta-h-tensor.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-tensormodekernel-h-tensorbase.html</link>
      <description>Architecture documentation for the TensorBase class in TensorModeKernel.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-tensormodekernel-h-tensorbase.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-tensorproperties-h-tensorbase.html</link>
      <description>Architecture documentation for the TensorBase class in TensorProperties.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-tensorproperties-h-tensorbase.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-tensorshape-cpp-alias-with-sizes-and-strides.html</link>
      <description>Architecture documentation for the alias_with_sizes_and_strides class in TensorShape.cpp from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-tensorshape-cpp-inferunsqueezegeometryresult.html</link>
      <description>Architecture documentation for the InferUnsqueezeGeometryResult class in TensorShape.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-tensorshape-cpp-inferunsqueezegeometryresult.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-tensorshape-cpp-relufused.html</link>
      <description>Architecture documentation for the ReLUFused class in TensorShape.cpp from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-tensorshape-cpp-setstridedunchecked.html</link>
      <description>Architecture documentation for the setStridedUnchecked class in TensorShape.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-tensorshape-cpp-setstridedunchecked.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-tensorshape-cpp-tensor-split-indices.html</link>
      <description>Architecture documentation for the _tensor_split_indices class in TensorShape.cpp from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-tensortopk-h-tensorbase.html</link>
      <description>Architecture documentation for the TensorBase class in TensorTopK.h from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-tensorutils-cpp-computestride-impl.html</link>
      <description>Architecture documentation for the computeStride_impl class in TensorUtils.cpp from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-test-helpers-h-callop.html</link>
      <description>Architecture documentation for the callOp class in test_helpers.h from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-test-helpers-h-callopunboxed.html</link>
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      <link>https://repos.supermodeltools.com/pytorch/class-test-helpers-h-callopunboxedwithdispatchkey.html</link>
      <description>Architecture documentation for the callOpUnboxedWithDispatchKey class in test_helpers.h from the pytorch codebase.</description>
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      <title>callOpUnboxedWithPrecomputedDispatchKeySet Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-test-helpers-h-callopunboxedwithprecomputeddispatchkeyset.html</link>
      <description>Architecture documentation for the callOpUnboxedWithPrecomputedDispatchKeySet class in test_helpers.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-test-helpers-h-callopunboxedwithprecomputeddispatchkeyset.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>expectListEquals Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-test-helpers-h-expectlistequals.html</link>
      <description>Architecture documentation for the expectListEquals class in test_helpers.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-test-helpers-h-expectlistequals.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>expectThrows Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-test-helpers-h-expectthrows.html</link>
      <description>Architecture documentation for the expectThrows class in test_helpers.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-test-helpers-h-expectthrows.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>makeStack Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-test-helpers-h-makestack.html</link>
      <description>Architecture documentation for the makeStack class in test_helpers.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-test-helpers-h-makestack.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>TORCH_API Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-threadlocalstate-h-torch-api.html</link>
      <description>Architecture documentation for the TORCH_API class in ThreadLocalState.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-threadlocalstate-h-torch-api.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>wrapPropagateTLSState Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-threadlocalstate-h-wrappropagatetlsstate.html</link>
      <description>Architecture documentation for the wrapPropagateTLSState class in ThreadLocalState.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-threadlocalstate-h-wrappropagatetlsstate.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>ThrustAllocator Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-thrustallocator-h-thrustallocator.html</link>
      <description>Architecture documentation for the ThrustAllocator class in ThrustAllocator.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-thrustallocator-h-thrustallocator.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>ColumnMajorTileInterleave Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-tile-interleaved-layout-h-columnmajortileinterleave.html</link>
      <description>Architecture documentation for the ColumnMajorTileInterleave class in tile_interleaved_layout.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-tile-interleaved-layout-h-columnmajortileinterleave.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>RowsPerTile Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-tile-interleaved-layout-h-rowspertile.html</link>
      <description>Architecture documentation for the RowsPerTile class in tile_interleaved_layout.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-tile-interleaved-layout-h-rowspertile.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>Threads Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-tile-smem-loader-h-threads.html</link>
      <description>Architecture documentation for the Threads class in tile_smem_loader.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-tile-smem-loader-h-threads.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>TileSmemLoader Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-tile-smem-loader-h-tilesmemloader.html</link>
      <description>Architecture documentation for the TileSmemLoader class in tile_smem_loader.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-tile-smem-loader-h-tilesmemloader.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>topk_impl_loop Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-topkimpl-h-topk-impl-loop.html</link>
      <description>Architecture documentation for the topk_impl_loop class in TopKImpl.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-topkimpl-h-topk-impl-loop.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>TorchVisionInstrumentedTests Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-torchvisioninstrumentedtests-java-torchvisioninstrumentedtests.html</link>
      <description>Architecture documentation for the TorchVisionInstrumentedTests class in TorchVisionInstrumentedTests.java from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-torchvisioninstrumentedtests-java-torchvisioninstrumentedtests.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <link>https://repos.supermodeltools.com/pytorch/class-torchvisioninstrumentedtestsuite-java-torchvisioninstrumentedtestsuite.html</link>
      <description>Architecture documentation for the TorchVisionInstrumentedTestSuite class in TorchVisionInstrumentedTestSuite.java from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-torchvisioninstrumentedtestsuite-java-torchvisioninstrumentedtestsuite.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>cauchy Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-transformationhelper-h-cauchy.html</link>
      <description>Architecture documentation for the cauchy class in TransformationHelper.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-transformationhelper-h-cauchy.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>DistAccumType Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-transformationhelper-h-distaccumtype.html</link>
      <description>Architecture documentation for the DistAccumType class in TransformationHelper.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-transformationhelper-h-distaccumtype.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>is_floating_point_v Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-transformationhelper-h-is-floating-point-v.html</link>
      <description>Architecture documentation for the is_floating_point_v class in TransformationHelper.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-transformationhelper-h-is-floating-point-v.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-transformationhelper-h-uniform-int.html</link>
      <description>Architecture documentation for the uniform_int class in TransformationHelper.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-transformationhelper-h-uniform-int.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-transformationhelper-h-uniform-real.html</link>
      <description>Architecture documentation for the uniform_real class in TransformationHelper.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-transformationhelper-h-uniform-real.html</guid>
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      <title>Operand Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-transpose-warp-iterator-h-operand.html</link>
      <description>Architecture documentation for the Operand class in transpose_warp_iterator.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-transpose-warp-iterator-h-operand.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-transpose-warp-iterator-h-warpiterator.html</link>
      <description>Architecture documentation for the WarpIterator class in transpose_warp_iterator.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-transpose-warp-iterator-h-warpiterator.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>apply_triu_tril_single Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-triangularops-cpp-apply-triu-tril-single.html</link>
      <description>Architecture documentation for the apply_triu_tril_single class in TriangularOps.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-triangularops-cpp-apply-triu-tril-single.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-triangularops-cpp-apply-triu-tril.html</link>
      <description>Architecture documentation for the apply_triu_tril class in TriangularOps.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-triangularops-cpp-apply-triu-tril.html</guid>
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      <title>compute_triu_tril Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-triangularops-cpp-compute-triu-tril.html</link>
      <description>Architecture documentation for the compute_triu_tril class in TriangularOps.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-triangularops-cpp-compute-triu-tril.html</guid>
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      <title>ITimer Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-tunable-h-itimer.html</link>
      <description>Architecture documentation for the ITimer class in Tunable.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-tunable-h-itimer.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>Log Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-tunable-h-log.html</link>
      <description>Architecture documentation for the Log class in Tunable.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-tunable-h-log.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>TORCH_CUDA_CPP_API Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-tunable-h-torch-cuda-cpp-api.html</link>
      <description>Architecture documentation for the TORCH_CUDA_CPP_API class in Tunable.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-tunable-h-torch-cuda-cpp-api.html</guid>
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      <title>ALayout Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-tunablegemm-h-alayout.html</link>
      <description>Architecture documentation for the ALayout class in TunableGemm.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-tunablegemm-h-alayout.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-tunablegemm-h-defaultgemmandbiasop.html</link>
      <description>Architecture documentation for the DefaultGemmAndBiasOp class in TunableGemm.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-tunablegemm-h-defaultgemmandbiasop.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-tunablegemm-h-defaultgemmop.html</link>
      <description>Architecture documentation for the DefaultGemmOp class in TunableGemm.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-tunablegemm-h-defaultgemmop.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-tunablegemm-h-defaultgemmstridedbatchedop.html</link>
      <description>Architecture documentation for the DefaultGemmStridedBatchedOp class in TunableGemm.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-tunablegemm-h-defaultgemmstridedbatchedop.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-tunablegemm-h-defaultscaledgemmop.html</link>
      <description>Architecture documentation for the DefaultScaledGemmOp class in TunableGemm.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-tunablegemm-h-defaultscaledgemmop.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-tunablegemm-h-gemmandbiastunableop.html</link>
      <description>Architecture documentation for the GemmAndBiasTunableOp class in TunableGemm.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-tunablegemm-h-gemmandbiastunableop.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-tunablegemm-h-gemmstridedbatchedtunableop.html</link>
      <description>Architecture documentation for the GemmStridedBatchedTunableOp class in TunableGemm.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-tunablegemm-h-gemmstridedbatchedtunableop.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-tunablegemm-h-gemmtunableop.html</link>
      <description>Architecture documentation for the GemmTunableOp class in TunableGemm.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-tunablegemm-h-gemmtunableop.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-tunablegemm-h-iszero.html</link>
      <description>Architecture documentation for the IsZero class in TunableGemm.h from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-tunablegemm-h-params.html</link>
      <description>Architecture documentation for the params class in TunableGemm.h from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-tunablegemm-h-scaledgemmtunableop.html</link>
      <description>Architecture documentation for the ScaledGemmTunableOp class in TunableGemm.h from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-tunablegemm-h-typename.html</link>
      <description>Architecture documentation for the TypeName class in TunableGemm.h from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-tunableop-h-callable.html</link>
      <description>Architecture documentation for the Callable class in TunableOp.h from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-tunableop-h-fixedsizestack.html</link>
      <description>Architecture documentation for the FixedSizeStack class in TunableOp.h from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-tunableop-h-stats.html</link>
      <description>Architecture documentation for the Stats class in TunableOp.h from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-tunableop-h-tunableop.html</link>
      <description>Architecture documentation for the TunableOp class in TunableOp.h from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-type-cpp-createwithspec.html</link>
      <description>Architecture documentation for the createWithSpec class in type.cpp from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-type-factory-h-create.html</link>
      <description>Architecture documentation for the create class in type_factory.h from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-type-factory-h-createnamed.html</link>
      <description>Architecture documentation for the createNamed class in type_factory.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-type-factory-h-createnamed.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>dynT Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-type-factory-h-dynt.html</link>
      <description>Architecture documentation for the dynT class in type_factory.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-type-factory-h-dynt.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>get Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-type-factory-h-get.html</link>
      <description>Architecture documentation for the get class in type_factory.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-type-factory-h-get.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>isBaseType Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-type-factory-h-isbasetype.html</link>
      <description>Architecture documentation for the isBaseType class in type_factory.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-type-factory-h-isbasetype.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>TypeFactoryBase Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-type-factory-h-typefactorybase.html</link>
      <description>Architecture documentation for the TypeFactoryBase class in type_factory.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-type-factory-h-typefactorybase.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>is_same_v Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-type-ptr-h-is-same-v.html</link>
      <description>Architecture documentation for the is_same_v class in type_ptr.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-type-ptr-h-is-same-v.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>lhs Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-type-ptr-h-lhs.html</link>
      <description>Architecture documentation for the lhs class in type_ptr.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-type-ptr-h-lhs.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>SingletonTypePtr Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-type-ptr-h-singletontypeptr.html</link>
      <description>Architecture documentation for the SingletonTypePtr class in type_ptr.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-type-ptr-h-singletontypeptr.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>Context Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-typedefault-h-context.html</link>
      <description>Architecture documentation for the Context class in TypeDefault.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-typedefault-h-context.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>Tensor Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-typedefault-h-tensor.html</link>
      <description>Architecture documentation for the Tensor class in TypeDefault.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-typedefault-h-tensor.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>unary_op_impl_ Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-unaryops-cpp-unary-op-impl-2.html</link>
      <description>Architecture documentation for the unary_op_impl_ class in UnaryOps.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-unaryops-cpp-unary-op-impl-2.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>unary_op_impl_float_out Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-unaryops-cpp-unary-op-impl-float-out.html</link>
      <description>Architecture documentation for the unary_op_impl_float_out class in UnaryOps.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-unaryops-cpp-unary-op-impl-float-out.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>unary_op_impl_float Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-unaryops-cpp-unary-op-impl-float.html</link>
      <description>Architecture documentation for the unary_op_impl_float class in UnaryOps.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-unaryops-cpp-unary-op-impl-float.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>unary_op_impl_out Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-unaryops-cpp-unary-op-impl-out.html</link>
      <description>Architecture documentation for the unary_op_impl_out class in UnaryOps.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-unaryops-cpp-unary-op-impl-out.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>unary_op_impl_with_complex_to_float_out Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-unaryops-cpp-unary-op-impl-with-complex-to-float-out.html</link>
      <description>Architecture documentation for the unary_op_impl_with_complex_to_float_out class in UnaryOps.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-unaryops-cpp-unary-op-impl-with-complex-to-float-out.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>unary_op_impl_with_complex_to_float Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-unaryops-cpp-unary-op-impl-with-complex-to-float.html</link>
      <description>Architecture documentation for the unary_op_impl_with_complex_to_float class in UnaryOps.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-unaryops-cpp-unary-op-impl-with-complex-to-float.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>unary_op_impl Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-unaryops-cpp-unary-op-impl.html</link>
      <description>Architecture documentation for the unary_op_impl class in UnaryOps.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-unaryops-cpp-unary-op-impl.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>Tensor Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-unaryops-h-tensor.html</link>
      <description>Architecture documentation for the Tensor class in UnaryOps.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-unaryops-h-tensor.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>TensorBase Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-unaryops-h-tensorbase.html</link>
      <description>Architecture documentation for the TensorBase class in UnaryOps.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-unaryops-h-tensorbase.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>LogitMKLKernel Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-unaryopskernel-cpp-logitmklkernel.html</link>
      <description>Architecture documentation for the LogitMKLKernel class in UnaryOpsKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-unaryopskernel-cpp-logitmklkernel.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>_nan_to_num_replace Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-unaryopskernel-cpp-nan-to-num-replace.html</link>
      <description>Architecture documentation for the _nan_to_num_replace class in UnaryOpsKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-unaryopskernel-cpp-nan-to-num-replace.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>VmlLog Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-unaryopskernel-cpp-vmllog.html</link>
      <description>Architecture documentation for the VmlLog class in UnaryOpsKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-unaryopskernel-cpp-vmllog.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>cadd Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-unfold2d-cpp-cadd.html</link>
      <description>Architecture documentation for the cadd class in Unfold2d.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-unfold2d-cpp-cadd.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>unfolded2d_acc_channels_last Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-unfold2d-cpp-unfolded2d-acc-channels-last.html</link>
      <description>Architecture documentation for the unfolded2d_acc_channels_last class in Unfold2d.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-unfold2d-cpp-unfolded2d-acc-channels-last.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>unfolded2d_acc Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-unfold2d-cpp-unfolded2d-acc.html</link>
      <description>Architecture documentation for the unfolded2d_acc class in Unfold2d.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-unfold2d-cpp-unfolded2d-acc.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>unfolded2d_copy_channels_last Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-unfold2d-cpp-unfolded2d-copy-channels-last.html</link>
      <description>Architecture documentation for the unfolded2d_copy_channels_last class in Unfold2d.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-unfold2d-cpp-unfolded2d-copy-channels-last.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>unfolded2d_copy Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-unfold2d-cpp-unfolded2d-copy.html</link>
      <description>Architecture documentation for the unfolded2d_copy class in Unfold2d.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-unfold2d-cpp-unfolded2d-copy.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>MatAdd Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-unfold3d-cpp-matadd.html</link>
      <description>Architecture documentation for the MatAdd class in Unfold3d.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-unfold3d-cpp-matadd.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>MatCopy Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-unfold3d-cpp-matcopy.html</link>
      <description>Architecture documentation for the MatCopy class in Unfold3d.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-unfold3d-cpp-matcopy.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>Unfold3dAccKernelImpl Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-unfold3d-cpp-unfold3dacckernelimpl.html</link>
      <description>Architecture documentation for the Unfold3dAccKernelImpl class in Unfold3d.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-unfold3d-cpp-unfold3dacckernelimpl.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>Unfold3dCopyKernelImpl Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-unfold3d-cpp-unfold3dcopykernelimpl.html</link>
      <description>Architecture documentation for the Unfold3dCopyKernelImpl class in Unfold3d.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-unfold3d-cpp-unfold3dcopykernelimpl.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>Unfold3dZeroPaddingAccKernelImpl Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-unfold3d-cpp-unfold3dzeropaddingacckernelimpl.html</link>
      <description>Architecture documentation for the Unfold3dZeroPaddingAccKernelImpl class in Unfold3d.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-unfold3d-cpp-unfold3dzeropaddingacckernelimpl.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>Unfold3dZeroPaddingCopyKernelImpl Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-unfold3d-cpp-unfold3dzeropaddingcopykernelimpl.html</link>
      <description>Architecture documentation for the Unfold3dZeroPaddingCopyKernelImpl class in Unfold3d.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-unfold3d-cpp-unfold3dzeropaddingcopykernelimpl.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>_unfold_backward_internal_kernel Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-unfoldbackwardkernel-cpp-unfold-backward-internal-kernel.html</link>
      <description>Architecture documentation for the _unfold_backward_internal_kernel class in UnfoldBackwardKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-unfoldbackwardkernel-cpp-unfold-backward-internal-kernel.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>data_ptr Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-unique-cpp-data-ptr.html</link>
      <description>Architecture documentation for the data_ptr class in Unique.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-unique-cpp-data-ptr.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <link>https://repos.supermodeltools.com/pytorch/class-unique-cpp-equal-nan.html</link>
      <description>Architecture documentation for the equal_nan class in Unique.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-unique-cpp-equal-nan.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <link>https://repos.supermodeltools.com/pytorch/class-unique-cpp-unique-consecutive-cpu-template.html</link>
      <description>Architecture documentation for the unique_consecutive_cpu_template class in Unique.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-unique-cpp-unique-consecutive-cpu-template.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <link>https://repos.supermodeltools.com/pytorch/class-unique-cpp-unique-cpu-sorted-template.html</link>
      <description>Architecture documentation for the unique_cpu_sorted_template class in Unique.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-unique-cpp-unique-cpu-sorted-template.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <link>https://repos.supermodeltools.com/pytorch/class-unique-cpp-unique-dim-cpu-impl.html</link>
      <description>Architecture documentation for the _unique_dim_cpu_impl class in Unique.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-unique-cpp-unique-dim-cpu-impl.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-unique-cpp-unique-dim-cpu-template.html</link>
      <description>Architecture documentation for the _unique_dim_cpu_template class in Unique.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-unique-cpp-unique-dim-cpu-template.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>area_pixel_compute_scale Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-upsample-h-area-pixel-compute-scale.html</link>
      <description>Architecture documentation for the area_pixel_compute_scale class in UpSample.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-upsample-h-area-pixel-compute-scale.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>area_pixel_compute_source_index Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-upsample-h-area-pixel-compute-source-index.html</link>
      <description>Architecture documentation for the area_pixel_compute_source_index class in UpSample.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-upsample-h-area-pixel-compute-source-index.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <link>https://repos.supermodeltools.com/pytorch/class-upsample-h-compute-scales-value.html</link>
      <description>Architecture documentation for the compute_scales_value class in UpSample.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-upsample-h-compute-scales-value.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-upsample-h-compute-source-index-and-lambda.html</link>
      <description>Architecture documentation for the compute_source_index_and_lambda class in UpSample.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-upsample-h-compute-source-index-and-lambda.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-upsample-h-cubic-convolution1.html</link>
      <description>Architecture documentation for the cubic_convolution1 class in UpSample.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-upsample-h-cubic-convolution1.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-upsample-h-cubic-convolution2.html</link>
      <description>Architecture documentation for the cubic_convolution2 class in UpSample.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-upsample-h-cubic-convolution2.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-upsample-h-cubic-interp1d.html</link>
      <description>Architecture documentation for the cubic_interp1d class in UpSample.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-upsample-h-cubic-interp1d.html</guid>
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      <title>get_cubic_upsample_coefficients Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-upsample-h-get-cubic-upsample-coefficients.html</link>
      <description>Architecture documentation for the get_cubic_upsample_coefficients class in UpSample.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-upsample-h-get-cubic-upsample-coefficients.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>guard_index_and_lambda Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-upsample-h-guard-index-and-lambda.html</link>
      <description>Architecture documentation for the guard_index_and_lambda class in UpSample.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-upsample-h-guard-index-and-lambda.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>is_reduced_floating_point_v Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-upsample-h-is-reduced-floating-point-v.html</link>
      <description>Architecture documentation for the is_reduced_floating_point_v class in UpSample.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-upsample-h-is-reduced-floating-point-v.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>upsample_get_value_bounded Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-upsample-h-upsample-get-value-bounded.html</link>
      <description>Architecture documentation for the upsample_get_value_bounded class in UpSample.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-upsample-h-upsample-get-value-bounded.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>upsample_increment_value_bounded Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-upsample-h-upsample-increment-value-bounded.html</link>
      <description>Architecture documentation for the upsample_increment_value_bounded class in UpSample.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-upsample-h-upsample-increment-value-bounded.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>upsample_bicubic2d_backward_out_frame Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-upsamplebicubic2d-cpp-upsample-bicubic2d-backward-out-frame.html</link>
      <description>Architecture documentation for the upsample_bicubic2d_backward_out_frame class in UpSampleBicubic2d.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-upsamplebicubic2d-cpp-upsample-bicubic2d-backward-out-frame.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>upsample_bilinear2d_out_frame Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-upsamplebilinear2d-cpp-upsample-bilinear2d-out-frame.html</link>
      <description>Architecture documentation for the upsample_bilinear2d_out_frame class in UpSampleBilinear2d.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-upsamplebilinear2d-cpp-upsample-bilinear2d-out-frame.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>aa_filter Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-upsamplekernel-cpp-aa-filter.html</link>
      <description>Architecture documentation for the aa_filter class in UpSampleKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-upsamplekernel-cpp-aa-filter.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>basic_loop_aa_horizontal Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-upsamplekernel-cpp-basic-loop-aa-horizontal.html</link>
      <description>Architecture documentation for the basic_loop_aa_horizontal class in UpSampleKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-upsamplekernel-cpp-basic-loop-aa-horizontal.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>basic_loop_aa_vertical Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-upsamplekernel-cpp-basic-loop-aa-vertical.html</link>
      <description>Architecture documentation for the basic_loop_aa_vertical class in UpSampleKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-upsamplekernel-cpp-basic-loop-aa-vertical.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>_compute_index_ranges_int16_weights Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-upsamplekernel-cpp-compute-index-ranges-int16-weights.html</link>
      <description>Architecture documentation for the _compute_index_ranges_int16_weights class in UpSampleKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-upsamplekernel-cpp-compute-index-ranges-int16-weights.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>_compute_indices_min_size_weights_aa Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-upsamplekernel-cpp-compute-indices-min-size-weights-aa.html</link>
      <description>Architecture documentation for the _compute_indices_min_size_weights_aa class in UpSampleKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-upsamplekernel-cpp-compute-indices-min-size-weights-aa.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>_compute_indices_min_size_weights Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-upsamplekernel-cpp-compute-indices-min-size-weights.html</link>
      <description>Architecture documentation for the _compute_indices_min_size_weights class in UpSampleKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-upsamplekernel-cpp-compute-indices-min-size-weights.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>cpu_upsample_genNd_backward_aa Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-upsamplekernel-cpp-cpu-upsample-gennd-backward-aa.html</link>
      <description>Architecture documentation for the cpu_upsample_genNd_backward_aa class in UpSampleKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-upsamplekernel-cpp-cpu-upsample-gennd-backward-aa.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>cpu_upsample_linear_channels_last Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-upsamplekernel-cpp-cpu-upsample-linear-channels-last.html</link>
      <description>Architecture documentation for the cpu_upsample_linear_channels_last class in UpSampleKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-upsamplekernel-cpp-cpu-upsample-linear-channels-last.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>interp_size Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-upsamplekernel-cpp-interp-size.html</link>
      <description>Architecture documentation for the interp_size class in UpSampleKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-upsamplekernel-cpp-interp-size.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>interpolate_aa_single_dim_zero_strides Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-upsamplekernel-cpp-interpolate-aa-single-dim-zero-strides.html</link>
      <description>Architecture documentation for the interpolate_aa_single_dim_zero_strides class in UpSampleKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-upsamplekernel-cpp-interpolate-aa-single-dim-zero-strides.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>interpolate_aa_single_dim Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-upsamplekernel-cpp-interpolate-aa-single-dim.html</link>
      <description>Architecture documentation for the interpolate_aa_single_dim class in UpSampleKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-upsamplekernel-cpp-interpolate-aa-single-dim.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>interpolate Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-upsamplekernel-cpp-interpolate.html</link>
      <description>Architecture documentation for the interpolate class in UpSampleKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-upsamplekernel-cpp-interpolate.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>is_horizontal Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-upsamplekernel-cpp-is-horizontal.html</link>
      <description>Architecture documentation for the is_horizontal class in UpSampleKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-upsamplekernel-cpp-is-horizontal.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>nearest_idx_fn Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-upsamplekernel-cpp-nearest-idx-fn.html</link>
      <description>Architecture documentation for the nearest_idx_fn class in UpSampleKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-upsamplekernel-cpp-nearest-idx-fn.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>non_zero_stride_dim Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-upsamplekernel-cpp-non-zero-stride-dim.html</link>
      <description>Architecture documentation for the non_zero_stride_dim class in UpSampleKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-upsamplekernel-cpp-non-zero-stride-dim.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>out_ndims Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-upsamplekernel-cpp-out-ndims.html</link>
      <description>Architecture documentation for the out_ndims class in UpSampleKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-upsamplekernel-cpp-out-ndims.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>src Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-upsamplekernel-cpp-src.html</link>
      <description>Architecture documentation for the src class in UpSampleKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-upsamplekernel-cpp-src.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>use_keys_cubic Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-upsamplekernel-cpp-use-keys-cubic.html</link>
      <description>Architecture documentation for the use_keys_cubic class in UpSampleKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-upsamplekernel-cpp-use-keys-cubic.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>weight_index_stride Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-upsamplekernel-cpp-weight-index-stride.html</link>
      <description>Architecture documentation for the weight_index_stride class in UpSampleKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-upsamplekernel-cpp-weight-index-stride.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>num_channels Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-upsamplekernelavxantialias-h-num-channels.html</link>
      <description>Architecture documentation for the num_channels class in UpSampleKernelAVXAntialias.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-upsamplekernelavxantialias-h-num-channels.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>upsample_avx_bilinear_bicubic_uint8 Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-upsamplekernelavxantialias-h-upsample-avx-bilinear-bicubic-uint8.html</link>
      <description>Architecture documentation for the upsample_avx_bilinear_bicubic_uint8 class in UpSampleKernelAVXAntialias.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-upsamplekernelavxantialias-h-upsample-avx-bilinear-bicubic-uint8.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>cpu_upsample_linear_backward_channels_last Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-upsamplemorekernel-cpp-cpu-upsample-linear-backward-channels-last.html</link>
      <description>Architecture documentation for the cpu_upsample_linear_backward_channels_last class in UpSampleMoreKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-upsamplemorekernel-cpp-cpu-upsample-linear-backward-channels-last.html</guid>
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      <title>cpu_upsample_linear_backward Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-upsamplemorekernel-cpp-cpu-upsample-linear-backward.html</link>
      <description>Architecture documentation for the cpu_upsample_linear_backward class in UpSampleMoreKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-upsamplemorekernel-cpp-cpu-upsample-linear-backward.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>is_reduced_floating_point_v Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-upsamplemorekernel-cpp-is-reduced-floating-point-v.html</link>
      <description>Architecture documentation for the is_reduced_floating_point_v class in UpSampleMoreKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-upsamplemorekernel-cpp-is-reduced-floating-point-v.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>nearest_idx_fn Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-upsamplemorekernel-cpp-nearest-idx-fn.html</link>
      <description>Architecture documentation for the nearest_idx_fn class in UpSampleMoreKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-upsamplemorekernel-cpp-nearest-idx-fn.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>nn_compute_source_index_fn Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-upsamplenearest2d-cpp-nn-compute-source-index-fn.html</link>
      <description>Architecture documentation for the nn_compute_source_index_fn class in UpSampleNearest2d.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-upsamplenearest2d-cpp-nn-compute-source-index-fn.html</guid>
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      <title>nn_compute_source_index_fn Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-upsamplenearest3d-cpp-nn-compute-source-index-fn.html</link>
      <description>Architecture documentation for the nn_compute_source_index_fn class in UpSampleNearest3d.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-upsamplenearest3d-cpp-nn-compute-source-index-fn.html</guid>
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      <title>tensor_backend Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-utils-cpp-tensor-backend.html</link>
      <description>Architecture documentation for the tensor_backend class in Utils.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-utils-cpp-tensor-backend.html</guid>
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      <title>tensor_complex_backend Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-utils-cpp-tensor-complex-backend.html</link>
      <description>Architecture documentation for the tensor_complex_backend class in Utils.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-utils-cpp-tensor-complex-backend.html</guid>
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      <title>tensor_complex_cpu Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-utils-cpp-tensor-complex-cpu.html</link>
      <description>Architecture documentation for the tensor_complex_cpu class in Utils.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-utils-cpp-tensor-complex-cpu.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-utils-cpp-tensor-cpu.html</link>
      <description>Architecture documentation for the tensor_cpu class in Utils.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-utils-cpp-tensor-cpu.html</guid>
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      <title>align_down Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-utils-h-align-down.html</link>
      <description>Architecture documentation for the align_down class in Utils.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-utils-h-align-down.html</guid>
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      <title>align_up Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-utils-h-align-up.html</link>
      <description>Architecture documentation for the align_up class in Utils.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-utils-h-align-up.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-utils-h-ceillog2.html</link>
      <description>Architecture documentation for the CeilLog2 class in utils.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-utils-h-ceillog2.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-utils-h-compatible-dilation.html</link>
      <description>Architecture documentation for the compatible_dilation class in Utils.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-utils-h-compatible-dilation.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-utils-h-data-index-init.html</link>
      <description>Architecture documentation for the data_index_init class in utils.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-utils-h-data-index-init.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-utils-h-data-index-step.html</link>
      <description>Architecture documentation for the data_index_step class in utils.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-utils-h-data-index-step.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-utils-h-div-up.html</link>
      <description>Architecture documentation for the div_up class in Utils.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-utils-h-div-up.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-utils-h-dnnl-memory-from-host-scalar.html</link>
      <description>Architecture documentation for the dnnl_memory_from_host_scalar class in Utils.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-utils-h-dnnl-memory-from-host-scalar.html</guid>
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      <title>greater_than_max Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-utils-h-greater-than-max.html</link>
      <description>Architecture documentation for the greater_than_max class in Utils.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-utils-h-greater-than-max.html</guid>
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      <title>is_integral_v Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-utils-h-is-integral-v.html</link>
      <description>Architecture documentation for the is_integral_v class in Utils.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-utils-h-is-integral-v.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>is_negative Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-utils-h-is-negative.html</link>
      <description>Architecture documentation for the is_negative class in Utils.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-utils-h-is-negative.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>is_signed_to_unsigned Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-utils-h-is-signed-to-unsigned.html</link>
      <description>Architecture documentation for the is_signed_to_unsigned class in Utils.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-utils-h-is-signed-to-unsigned.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>kSpatialDim Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-utils-h-kspatialdim.html</link>
      <description>Architecture documentation for the kSpatialDim class in utils.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-utils-h-kspatialdim.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>less_than_lowest Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-utils-h-less-than-lowest.html</link>
      <description>Architecture documentation for the less_than_lowest class in Utils.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-utils-h-less-than-lowest.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>multiply_integers Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-utils-h-multiply-integers.html</link>
      <description>Architecture documentation for the multiply_integers class in Utils.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-utils-h-multiply-integers.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>overflows Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-utils-h-overflows.html</link>
      <description>Architecture documentation for the overflows class in Utils.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-utils-h-overflows.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>parallel_sparse_csr Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-utils-h-parallel-sparse-csr.html</link>
      <description>Architecture documentation for the parallel_sparse_csr class in utils.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-utils-h-parallel-sparse-csr.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>ReluFused Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-utils-h-relufused.html</link>
      <description>Architecture documentation for the ReluFused class in utils.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-utils-h-relufused.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>safe_downcast Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-utils-h-safe-downcast.html</link>
      <description>Architecture documentation for the safe_downcast class in Utils.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-utils-h-safe-downcast.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>scalar_t Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-utils-h-scalar-t.html</link>
      <description>Architecture documentation for the scalar_t class in utils.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-utils-h-scalar-t.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>_store Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-utils-h-store.html</link>
      <description>Architecture documentation for the _store class in utils.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-utils-h-store.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>tensor_backend Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-utils-h-tensor-backend.html</link>
      <description>Architecture documentation for the tensor_backend class in Utils.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-utils-h-tensor-backend.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>tensor_complex_backend Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-utils-h-tensor-complex-backend.html</link>
      <description>Architecture documentation for the tensor_complex_backend class in Utils.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-utils-h-tensor-complex-backend.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>tensor_complex_cpu Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-utils-h-tensor-complex-cpu.html</link>
      <description>Architecture documentation for the tensor_complex_cpu class in Utils.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-utils-h-tensor-complex-cpu.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>tensor_cpu Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-utils-h-tensor-cpu.html</link>
      <description>Architecture documentation for the tensor_cpu class in Utils.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-utils-h-tensor-cpu.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>transpose Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-utils-h-transpose.html</link>
      <description>Architecture documentation for the transpose class in utils.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-utils-h-transpose.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>val_at Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-utils-h-val-at.html</link>
      <description>Architecture documentation for the val_at class in Utils.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-utils-h-val-at.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>VectorizedType Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-utils-h-vectorizedtype.html</link>
      <description>Architecture documentation for the VectorizedType class in utils.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-utils-h-vectorizedtype.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>BenchmarkKernel Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-utils-py-benchmarkkernel.html</link>
      <description>Architecture documentation for the BenchmarkKernel class in utils.py from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-utils-py-benchmarkkernel.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>Performance Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-utils-py-performance.html</link>
      <description>Architecture documentation for the Performance class in utils.py from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-utils-py-performance.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>VAddMicrokernelTester Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vadd-microkernel-tester-h-vaddmicrokerneltester.html</link>
      <description>Architecture documentation for the VAddMicrokernelTester class in vadd-microkernel-tester.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vadd-microkernel-tester-h-vaddmicrokerneltester.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>cdim_name Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-validatecompressedindicescommon-h-cdim-name.html</link>
      <description>Architecture documentation for the cdim_name class in ValidateCompressedIndicesCommon.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-validatecompressedindicescommon-h-cdim-name.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>iter Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-validatecompressedindicescommon-h-iter.html</link>
      <description>Architecture documentation for the iter class in ValidateCompressedIndicesCommon.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-validatecompressedindicescommon-h-iter.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>launch Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-validatecompressedindicescommon-h-launch.html</link>
      <description>Architecture documentation for the launch class in ValidateCompressedIndicesCommon.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-validatecompressedindicescommon-h-launch.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>scalar_t Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-validatecompressedindicescommon-h-scalar-t.html</link>
      <description>Architecture documentation for the scalar_t class in ValidateCompressedIndicesCommon.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-validatecompressedindicescommon-h-scalar-t.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>validate_compressed_sparse_indices_kernel Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-validatecompressedindicescommon-h-validate-compressed-sparse-indices-kernel.html</link>
      <description>Architecture documentation for the validate_compressed_sparse_indices_kernel class in ValidateCompressedIndicesCommon.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-validatecompressedindicescommon-h-validate-compressed-sparse-indices-kernel.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>iter Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-validatecompressedindiceskernel-cpp-iter.html</link>
      <description>Architecture documentation for the iter class in ValidateCompressedIndicesKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-validatecompressedindiceskernel-cpp-iter.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>apply Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-variadic-h-apply.html</link>
      <description>Architecture documentation for the apply class in Variadic.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-variadic-h-apply.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>args Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-variadic-h-args.html</link>
      <description>Architecture documentation for the args class in Variadic.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-variadic-h-args.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>abs Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec-base-h-abs.html</link>
      <description>Architecture documentation for the abs class in vec_base.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-base-h-abs.html</guid>
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      <title>angle Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec-base-h-angle.html</link>
      <description>Architecture documentation for the angle class in vec_base.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-base-h-angle.html</guid>
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      <title>arange Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec-base-h-arange.html</link>
      <description>Architecture documentation for the arange class in vec_base.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-base-h-arange.html</guid>
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      <title>Args Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec-base-h-args.html</link>
      <description>Architecture documentation for the Args class in vec_base.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-base-h-args.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-vec-base-h-binary-pred-bool.html</link>
      <description>Architecture documentation for the binary_pred_bool class in vec_base.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-base-h-binary-pred-bool.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-vec-base-h-binary-pred.html</link>
      <description>Architecture documentation for the binary_pred class in vec_base.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-base-h-binary-pred.html</guid>
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      <title>bitwise_binary_op Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec-base-h-bitwise-binary-op.html</link>
      <description>Architecture documentation for the bitwise_binary_op class in vec_base.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-base-h-bitwise-binary-op.html</guid>
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      <title>cast Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec-base-h-cast.html</link>
      <description>Architecture documentation for the cast class in vec_base.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-base-h-cast.html</guid>
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      <title>conj Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec-base-h-conj.html</link>
      <description>Architecture documentation for the conj class in vec_base.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-base-h-conj.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-vec-base-h-convert-to-fp-of-same-size.html</link>
      <description>Architecture documentation for the convert_to_fp_of_same_size class in vec_base.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-base-h-convert-to-fp-of-same-size.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-vec-base-h-convert-to-int-of-same-size.html</link>
      <description>Architecture documentation for the convert_to_int_of_same_size class in vec_base.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-base-h-convert-to-int-of-same-size.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-vec-base-h-convert.html</link>
      <description>Architecture documentation for the convert class in vec_base.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-base-h-convert.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-vec-base-h-copysign.html</link>
      <description>Architecture documentation for the copysign class in vec_base.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-base-h-copysign.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-vec-base-h-flip.html</link>
      <description>Architecture documentation for the flip class in vec_base.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-base-h-flip.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-vec-base-h-fmadd.html</link>
      <description>Architecture documentation for the fmadd class in vec_base.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-base-h-fmadd.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-vec-base-h-fmod.html</link>
      <description>Architecture documentation for the fmod class in vec_base.h from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-vec-base-h-fmsub.html</link>
      <description>Architecture documentation for the fmsub class in vec_base.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-base-h-fmsub.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-vec-base-h-fnmadd.html</link>
      <description>Architecture documentation for the fnmadd class in vec_base.h from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-vec-base-h-fnmsub.html</link>
      <description>Architecture documentation for the fnmsub class in vec_base.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-base-h-fnmsub.html</guid>
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      <title>imag Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec-base-h-imag.html</link>
      <description>Architecture documentation for the imag class in vec_base.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-base-h-imag.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>is_8bit_integer_v Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec-base-h-is-8bit-integer-v.html</link>
      <description>Architecture documentation for the is_8bit_integer_v class in vec_base.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-base-h-is-8bit-integer-v.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>is_base_of_v Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec-base-h-is-base-of-v.html</link>
      <description>Architecture documentation for the is_base_of_v class in vec_base.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-base-h-is-base-of-v.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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    <item>
      <title>is_floating_point_v Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec-base-h-is-floating-point-v.html</link>
      <description>Architecture documentation for the is_floating_point_v class in vec_base.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-base-h-is-floating-point-v.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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    <item>
      <title>is_reduced_floating_point_v Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec-base-h-is-reduced-floating-point-v.html</link>
      <description>Architecture documentation for the is_reduced_floating_point_v class in vec_base.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-base-h-is-reduced-floating-point-v.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>is_same_v Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec-base-h-is-same-v.html</link>
      <description>Architecture documentation for the is_same_v class in vec_base.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-base-h-is-same-v.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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    <item>
      <title>is_vec_specialized_for_v Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec-base-h-is-vec-specialized-for-v.html</link>
      <description>Architecture documentation for the is_vec_specialized_for_v class in vec_base.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-base-h-is-vec-specialized-for-v.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>load Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec-base-h-load.html</link>
      <description>Architecture documentation for the load class in vec_base.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-base-h-load.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>log2 Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec-base-h-log2.html</link>
      <description>Architecture documentation for the log2 class in vec_base.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-base-h-log2.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>mask_ Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec-base-h-mask.html</link>
      <description>Architecture documentation for the mask_ class in vec_base.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-base-h-mask.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>maximum Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec-base-h-maximum.html</link>
      <description>Architecture documentation for the maximum class in vec_base.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-base-h-maximum.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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    <item>
      <title>minimum Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec-base-h-minimum.html</link>
      <description>Architecture documentation for the minimum class in vec_base.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-base-h-minimum.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>real Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec-base-h-real.html</link>
      <description>Architecture documentation for the real class in vec_base.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-base-h-real.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>scale Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec-base-h-scale.html</link>
      <description>Architecture documentation for the scale class in vec_base.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-base-h-scale.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>sgn Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec-base-h-sgn.html</link>
      <description>Architecture documentation for the sgn class in vec_base.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-base-h-sgn.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>size Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec-base-h-size.html</link>
      <description>Architecture documentation for the size class in vec_base.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-base-h-size.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>src Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec-base-h-src.html</link>
      <description>Architecture documentation for the src class in vec_base.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-base-h-src.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>transpose_mxn Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec-base-h-transpose-mxn.html</link>
      <description>Architecture documentation for the transpose_mxn class in vec_base.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-base-h-transpose-mxn.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>value Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec-base-h-value.html</link>
      <description>Architecture documentation for the value class in vec_base.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-base-h-value.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>arange Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec-bfloat16-h-arange.html</link>
      <description>Architecture documentation for the arange class in vec_bfloat16.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-bfloat16-h-arange.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>Args Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec-bfloat16-h-args.html</link>
      <description>Architecture documentation for the Args class in vec_bfloat16.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-bfloat16-h-args.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>binary_operator_via_float Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec-bfloat16-h-binary-operator-via-float.html</link>
      <description>Architecture documentation for the binary_operator_via_float class in vec_bfloat16.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-bfloat16-h-binary-operator-via-float.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>clamp_max Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec-bfloat16-h-clamp-max.html</link>
      <description>Architecture documentation for the clamp_max class in vec_bfloat16.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-bfloat16-h-clamp-max.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>clamp_min Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec-bfloat16-h-clamp-min.html</link>
      <description>Architecture documentation for the clamp_min class in vec_bfloat16.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-bfloat16-h-clamp-min.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>clamp Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec-bfloat16-h-clamp.html</link>
      <description>Architecture documentation for the clamp class in vec_bfloat16.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-bfloat16-h-clamp.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>convert Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec-bfloat16-h-convert.html</link>
      <description>Architecture documentation for the convert class in vec_bfloat16.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-bfloat16-h-convert.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>fmadd Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec-bfloat16-h-fmadd.html</link>
      <description>Architecture documentation for the fmadd class in vec_bfloat16.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-bfloat16-h-fmadd.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>is_vec_specialized_for Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec-bfloat16-h-is-vec-specialized-for.html</link>
      <description>Architecture documentation for the is_vec_specialized_for class in vec_bfloat16.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-bfloat16-h-is-vec-specialized-for.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>maximum Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec-bfloat16-h-maximum.html</link>
      <description>Architecture documentation for the maximum class in vec_bfloat16.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-bfloat16-h-maximum.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>minimum Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec-bfloat16-h-minimum.html</link>
      <description>Architecture documentation for the minimum class in vec_bfloat16.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-bfloat16-h-minimum.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>VECTOR_WIDTH Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec-bfloat16-h-vector-width.html</link>
      <description>Architecture documentation for the VECTOR_WIDTH class in vec_bfloat16.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-bfloat16-h-vector-width.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>convert_to_int_of_same_size Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec-common-sve-h-convert-to-int-of-same-size.html</link>
      <description>Architecture documentation for the convert_to_int_of_same_size class in vec_common_sve.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-common-sve-h-convert-to-int-of-same-size.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>deinterleave2 Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec-common-sve-h-deinterleave2.html</link>
      <description>Architecture documentation for the deinterleave2 class in vec_common_sve.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-common-sve-h-deinterleave2.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>interleave2 Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec-common-sve-h-interleave2.html</link>
      <description>Architecture documentation for the interleave2 class in vec_common_sve.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-common-sve-h-interleave2.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>scale Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec-common-sve-h-scale.html</link>
      <description>Architecture documentation for the scale class in vec_common_sve.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-common-sve-h-scale.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>convert_from_float Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec-convert-h-convert-from-float.html</link>
      <description>Architecture documentation for the convert_from_float class in vec_convert.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-convert-h-convert-from-float.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>convert_to_float Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec-convert-h-convert-to-float.html</link>
      <description>Architecture documentation for the convert_to_float class in vec_convert.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-convert-h-convert-to-float.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>dst_n Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec-convert-h-dst-n.html</link>
      <description>Architecture documentation for the dst_n class in vec_convert.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-convert-h-dst-n.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>is_same_v Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec-convert-h-is-same-v.html</link>
      <description>Architecture documentation for the is_same_v class in vec_convert.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-convert-h-is-same-v.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>arange Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec-double-h-arange.html</link>
      <description>Architecture documentation for the arange class in vec_double.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-double-h-arange.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>Args Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec-double-h-args.html</link>
      <description>Architecture documentation for the Args class in vec_double.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-double-h-args.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>clamp_max Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec-double-h-clamp-max.html</link>
      <description>Architecture documentation for the clamp_max class in vec_double.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-double-h-clamp-max.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>clamp_min Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec-double-h-clamp-min.html</link>
      <description>Architecture documentation for the clamp_min class in vec_double.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-double-h-clamp-min.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>clamp Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec-double-h-clamp.html</link>
      <description>Architecture documentation for the clamp class in vec_double.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-double-h-clamp.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>convert Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec-double-h-convert.html</link>
      <description>Architecture documentation for the convert class in vec_double.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-double-h-convert.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>fmadd Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec-double-h-fmadd.html</link>
      <description>Architecture documentation for the fmadd class in vec_double.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-double-h-fmadd.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>fmsub Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec-double-h-fmsub.html</link>
      <description>Architecture documentation for the fmsub class in vec_double.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-double-h-fmsub.html</guid>
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      <title>fnmadd Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec-double-h-fnmadd.html</link>
      <description>Architecture documentation for the fnmadd class in vec_double.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-double-h-fnmadd.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>fnmsub Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec-double-h-fnmsub.html</link>
      <description>Architecture documentation for the fnmsub class in vec_double.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-double-h-fnmsub.html</guid>
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      <title>is_vec_specialized_for Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec-double-h-is-vec-specialized-for.html</link>
      <description>Architecture documentation for the is_vec_specialized_for class in vec_double.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-double-h-is-vec-specialized-for.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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    <item>
      <title>mask Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec-double-h-mask.html</link>
      <description>Architecture documentation for the mask class in vec_double.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-double-h-mask.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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    <item>
      <title>maximum Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec-double-h-maximum.html</link>
      <description>Architecture documentation for the maximum class in vec_double.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-double-h-maximum.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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    <item>
      <title>minimum Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec-double-h-minimum.html</link>
      <description>Architecture documentation for the minimum class in vec_double.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-double-h-minimum.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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    <item>
      <title>VECTOR_WIDTH Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec-double-h-vector-width.html</link>
      <description>Architecture documentation for the VECTOR_WIDTH class in vec_double.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-double-h-vector-width.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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    <item>
      <title>arange Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec-float-h-arange.html</link>
      <description>Architecture documentation for the arange class in vec_float.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-float-h-arange.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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    <item>
      <title>Args Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec-float-h-args.html</link>
      <description>Architecture documentation for the Args class in vec_float.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-float-h-args.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>clamp_max Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec-float-h-clamp-max.html</link>
      <description>Architecture documentation for the clamp_max class in vec_float.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-float-h-clamp-max.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>clamp_min Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec-float-h-clamp-min.html</link>
      <description>Architecture documentation for the clamp_min class in vec_float.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-float-h-clamp-min.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>clamp Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec-float-h-clamp.html</link>
      <description>Architecture documentation for the clamp class in vec_float.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-float-h-clamp.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>convert Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec-float-h-convert.html</link>
      <description>Architecture documentation for the convert class in vec_float.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-float-h-convert.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>fmadd Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec-float-h-fmadd.html</link>
      <description>Architecture documentation for the fmadd class in vec_float.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-float-h-fmadd.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>fmsub Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec-float-h-fmsub.html</link>
      <description>Architecture documentation for the fmsub class in vec_float.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-float-h-fmsub.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>fnmadd Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec-float-h-fnmadd.html</link>
      <description>Architecture documentation for the fnmadd class in vec_float.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-float-h-fnmadd.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>fnmsub Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec-float-h-fnmsub.html</link>
      <description>Architecture documentation for the fnmsub class in vec_float.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-float-h-fnmsub.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>is_vec_specialized_for Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec-float-h-is-vec-specialized-for.html</link>
      <description>Architecture documentation for the is_vec_specialized_for class in vec_float.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-float-h-is-vec-specialized-for.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>mask Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec-float-h-mask.html</link>
      <description>Architecture documentation for the mask class in vec_float.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-float-h-mask.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>maximum Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec-float-h-maximum.html</link>
      <description>Architecture documentation for the maximum class in vec_float.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-float-h-maximum.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>minimum Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec-float-h-minimum.html</link>
      <description>Architecture documentation for the minimum class in vec_float.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-float-h-minimum.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>VECTOR_WIDTH Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec-float-h-vector-width.html</link>
      <description>Architecture documentation for the VECTOR_WIDTH class in vec_float.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-float-h-vector-width.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>loadu Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec-h-loadu.html</link>
      <description>Architecture documentation for the loadu class in vec.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-h-loadu.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>VecHoldType Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec-h-vecholdtype.html</link>
      <description>Architecture documentation for the VecHoldType class in vec.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-h-vecholdtype.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>VT Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec-h-vt.html</link>
      <description>Architecture documentation for the VT class in vec.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-h-vt.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>scalar_t Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec-half-h-scalar-t.html</link>
      <description>Architecture documentation for the scalar_t class in vec_half.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-half-h-scalar-t.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>convert Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec-int-h-convert.html</link>
      <description>Architecture documentation for the convert class in vec_int.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-int-h-convert.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>intdiv_nosve Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec-int-h-intdiv-nosve.html</link>
      <description>Architecture documentation for the intdiv_nosve class in vec_int.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-int-h-intdiv-nosve.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>data_n Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec-mask-h-data-n.html</link>
      <description>Architecture documentation for the data_n class in vec_mask.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-mask-h-data-n.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>dst_n Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec-mask-h-dst-n.html</link>
      <description>Architecture documentation for the dst_n class in vec_mask.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-mask-h-dst-n.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>from Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec-mask-h-from.html</link>
      <description>Architecture documentation for the from class in vec_mask.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-mask-h-from.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>VecMask Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec-mask-h-vecmask.html</link>
      <description>Architecture documentation for the VecMask class in vec_mask.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-mask-h-vecmask.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>arange Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec-n-h-arange.html</link>
      <description>Architecture documentation for the arange class in vec_n.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-n-h-arange.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>binary_op Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec-n-h-binary-op.html</link>
      <description>Architecture documentation for the binary_op class in vec_n.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-n-h-binary-op.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>mask Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec-n-h-mask.html</link>
      <description>Architecture documentation for the mask class in vec_n.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-n-h-mask.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>ternary_op Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec-n-h-ternary-op.html</link>
      <description>Architecture documentation for the ternary_op class in vec_n.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-n-h-ternary-op.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>unary_op Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec-n-h-unary-op.html</link>
      <description>Architecture documentation for the unary_op class in vec_n.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-n-h-unary-op.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>is_vec_specialized_for Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec-qint-h-is-vec-specialized-for.html</link>
      <description>Architecture documentation for the is_vec_specialized_for class in vec_qint.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-qint-h-is-vec-specialized-for.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>maximum Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec-qint-h-maximum.html</link>
      <description>Architecture documentation for the maximum class in vec_qint.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-qint-h-maximum.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>size_ Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec-qint-h-size.html</link>
      <description>Architecture documentation for the size_ class in vec_qint.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-qint-h-size.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>VECTOR_WIDTH Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec-qint-h-vector-width.html</link>
      <description>Architecture documentation for the VECTOR_WIDTH class in vec_qint.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-qint-h-vector-width.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>Vectorized Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec-qint-h-vectorized.html</link>
      <description>Architecture documentation for the Vectorized class in vec_qint.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-qint-h-vectorized.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>scalar_t Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec-quant-h-scalar-t.html</link>
      <description>Architecture documentation for the scalar_t class in vec_quant.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-quant-h-scalar-t.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>arange_init Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-cpp-arange-init.html</link>
      <description>Architecture documentation for the arange_init class in vec_test_all_types.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-cpp-arange-init.html</guid>
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      <title>Arithmetic Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-cpp-arithmetic.html</link>
      <description>Architecture documentation for the Arithmetic class in vec_test_all_types.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-cpp-arithmetic.html</guid>
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      <title>Bitwise Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-cpp-bitwise.html</link>
      <description>Architecture documentation for the Bitwise class in vec_test_all_types.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-cpp-bitwise.html</guid>
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      <title>BitwiseFloatsAdditional Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-cpp-bitwisefloatsadditional.html</link>
      <description>Architecture documentation for the BitwiseFloatsAdditional class in vec_test_all_types.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-cpp-bitwisefloatsadditional.html</guid>
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      <title>BitwiseFloatsAdditional2 Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-cpp-bitwisefloatsadditional2.html</link>
      <description>Architecture documentation for the BitwiseFloatsAdditional2 class in vec_test_all_types.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-cpp-bitwisefloatsadditional2.html</guid>
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      <title>Comparison Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-cpp-comparison.html</link>
      <description>Architecture documentation for the Comparison class in vec_test_all_types.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-cpp-comparison.html</guid>
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      <title>ComplexTests Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-cpp-complextests.html</link>
      <description>Architecture documentation for the ComplexTests class in vec_test_all_types.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-cpp-complextests.html</guid>
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      <title>ErrorFunctions Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-cpp-errorfunctions.html</link>
      <description>Architecture documentation for the ErrorFunctions class in vec_test_all_types.cpp from the pytorch codebase.</description>
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      <title>Exponents Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-cpp-exponents.html</link>
      <description>Architecture documentation for the Exponents class in vec_test_all_types.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-cpp-exponents.html</guid>
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      <title>FractionAndRemainderReal Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-cpp-fractionandremainderreal.html</link>
      <description>Architecture documentation for the FractionAndRemainderReal class in vec_test_all_types.cpp from the pytorch codebase.</description>
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      <title>FunctionalTests Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-cpp-functionaltests.html</link>
      <description>Architecture documentation for the FunctionalTests class in vec_test_all_types.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-cpp-functionaltests.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>FunctionalTestsReducedFloat Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-cpp-functionaltestsreducedfloat.html</link>
      <description>Architecture documentation for the FunctionalTestsReducedFloat class in vec_test_all_types.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-cpp-functionaltestsreducedfloat.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>Hyperbolic Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-cpp-hyperbolic.html</link>
      <description>Architecture documentation for the Hyperbolic class in vec_test_all_types.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-cpp-hyperbolic.html</guid>
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      <title>idx Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-cpp-idx.html</link>
      <description>Architecture documentation for the idx class in vec_test_all_types.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-cpp-idx.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>InfiniteTests Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-cpp-infinitetests.html</link>
      <description>Architecture documentation for the InfiniteTests class in vec_test_all_types.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-cpp-infinitetests.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>Interleave Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-cpp-interleave.html</link>
      <description>Architecture documentation for the Interleave class in vec_test_all_types.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-cpp-interleave.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>InverseTrigonometric Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-cpp-inversetrigonometric.html</link>
      <description>Architecture documentation for the InverseTrigonometric class in vec_test_all_types.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-cpp-inversetrigonometric.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>InverseTrigonometricReal Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-cpp-inversetrigonometricreal.html</link>
      <description>Architecture documentation for the InverseTrigonometricReal class in vec_test_all_types.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-cpp-inversetrigonometricreal.html</guid>
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      <title>LGamma Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-cpp-lgamma.html</link>
      <description>Architecture documentation for the LGamma class in vec_test_all_types.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-cpp-lgamma.html</guid>
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      <title>Logarithm Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-cpp-logarithm.html</link>
      <description>Architecture documentation for the Logarithm class in vec_test_all_types.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-cpp-logarithm.html</guid>
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      <title>LogarithmReals Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-cpp-logarithmreals.html</link>
      <description>Architecture documentation for the LogarithmReals class in vec_test_all_types.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-cpp-logarithmreals.html</guid>
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      <title>mask Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-cpp-mask.html</link>
      <description>Architecture documentation for the mask class in vec_test_all_types.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-cpp-mask.html</guid>
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      <title>Memory Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-cpp-memory.html</link>
      <description>Architecture documentation for the Memory class in vec_test_all_types.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-cpp-memory.html</guid>
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      <title>MinMax Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-cpp-minmax.html</link>
      <description>Architecture documentation for the MinMax class in vec_test_all_types.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-cpp-minmax.html</guid>
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      <title>Nan Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-cpp-nan.html</link>
      <description>Architecture documentation for the Nan class in vec_test_all_types.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-cpp-nan.html</guid>
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      <title>Pow Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-cpp-pow.html</link>
      <description>Architecture documentation for the Pow class in vec_test_all_types.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-cpp-pow.html</guid>
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      <title>Quantization8BitTests Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-cpp-quantization8bittests.html</link>
      <description>Architecture documentation for the Quantization8BitTests class in vec_test_all_types.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-cpp-quantization8bittests.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-cpp-quantization8bitwithtailtests.html</link>
      <description>Architecture documentation for the Quantization8BitWithTailTests class in vec_test_all_types.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-cpp-quantization8bitwithtailtests.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-cpp-quantizationtests.html</link>
      <description>Architecture documentation for the QuantizationTests class in vec_test_all_types.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-cpp-quantizationtests.html</guid>
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      <title>RangeFactories Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-cpp-rangefactories.html</link>
      <description>Architecture documentation for the RangeFactories class in vec_test_all_types.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-cpp-rangefactories.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-cpp-realtests.html</link>
      <description>Architecture documentation for the RealTests class in vec_test_all_types.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-cpp-realtests.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-cpp-rounding.html</link>
      <description>Architecture documentation for the Rounding class in vec_test_all_types.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-cpp-rounding.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-cpp-signmanipulation.html</link>
      <description>Architecture documentation for the SignManipulation class in vec_test_all_types.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-cpp-signmanipulation.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-cpp-signmanipulationhalfprecision.html</link>
      <description>Architecture documentation for the SignManipulationHalfPrecision class in vec_test_all_types.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-cpp-signmanipulationhalfprecision.html</guid>
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      <title>SqrtAndReciprocal Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-cpp-sqrtandreciprocal.html</link>
      <description>Architecture documentation for the SqrtAndReciprocal class in vec_test_all_types.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-cpp-sqrtandreciprocal.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-cpp-sqrtandreciprocalreal.html</link>
      <description>Architecture documentation for the SqrtAndReciprocalReal class in vec_test_all_types.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-cpp-sqrtandreciprocalreal.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-cpp-test-convert-to.html</link>
      <description>Architecture documentation for the test_convert_to class in vec_test_all_types.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-cpp-test-convert-to.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-cpp-test-set.html</link>
      <description>Architecture documentation for the test_set class in vec_test_all_types.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-cpp-test-set.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-cpp-trigonometric.html</link>
      <description>Architecture documentation for the Trigonometric class in vec_test_all_types.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-cpp-trigonometric.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-cpp-value.html</link>
      <description>Architecture documentation for the value class in vec_test_all_types.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-cpp-value.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-cpp-vecconverttests.html</link>
      <description>Architecture documentation for the VecConvertTests class in vec_test_all_types.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-cpp-vecconverttests.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-cpp-vecconverttestsreducedfloat.html</link>
      <description>Architecture documentation for the VecConvertTestsReducedFloat class in vec_test_all_types.cpp from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-cpp-vecmasktests.html</link>
      <description>Architecture documentation for the VecMaskTests class in vec_test_all_types.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-cpp-vecmasktests.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-h-assertvectorized.html</link>
      <description>Architecture documentation for the AssertVectorized class in vec_test_all_types.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-h-assertvectorized.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-h-bitstr.html</link>
      <description>Architecture documentation for the BitStr class in vec_test_all_types.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-h-bitstr.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-h-bitwise.html</link>
      <description>Architecture documentation for the bitwise class in vec_test_all_types.h from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-h-call-filter.html</link>
      <description>Architecture documentation for the call_filter class in vec_test_all_types.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-h-call-filter.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-h-check-both-big.html</link>
      <description>Architecture documentation for the check_both_big class in vec_test_all_types.h from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-h-check-both-inf.html</link>
      <description>Architecture documentation for the check_both_inf class in vec_test_all_types.h from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-h-check-both-nan.html</link>
      <description>Architecture documentation for the check_both_nan class in vec_test_all_types.h from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-h-clamp-max.html</link>
      <description>Architecture documentation for the clamp_max class in vec_test_all_types.h from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-h-clamp-min.html</link>
      <description>Architecture documentation for the clamp_min class in vec_test_all_types.h from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-h-correctepsilon.html</link>
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      <link>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-h-createdefaultbinarytestcase.html</link>
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      <description>Architecture documentation for the createDefaultTernaryTestCase class in vec_test_all_types.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-h-createdefaultternarytestcase.html</guid>
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      <title>createDefaultUnaryTestCase Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-h-createdefaultunarytestcase.html</link>
      <description>Architecture documentation for the createDefaultUnaryTestCase class in vec_test_all_types.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-h-createdefaultunarytestcase.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>dequantize_val Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-h-dequantize-val.html</link>
      <description>Architecture documentation for the dequantize_val class in vec_test_all_types.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-h-dequantize-val.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>filter_add_overflow Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-h-filter-add-overflow.html</link>
      <description>Architecture documentation for the filter_add_overflow class in vec_test_all_types.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-h-filter-add-overflow.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>filter_clamp Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-h-filter-clamp.html</link>
      <description>Architecture documentation for the filter_clamp class in vec_test_all_types.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-h-filter-clamp.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>filter_div_ub Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-h-filter-div-ub.html</link>
      <description>Architecture documentation for the filter_div_ub class in vec_test_all_types.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-h-filter-div-ub.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>filter_fmod Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-h-filter-fmod.html</link>
      <description>Architecture documentation for the filter_fmod class in vec_test_all_types.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-h-filter-fmod.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>filter_int_minimum Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-h-filter-int-minimum.html</link>
      <description>Architecture documentation for the filter_int_minimum class in vec_test_all_types.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-h-filter-int-minimum.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>filter_mult_overflow Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-h-filter-mult-overflow.html</link>
      <description>Architecture documentation for the filter_mult_overflow class in vec_test_all_types.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-h-filter-mult-overflow.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>filter_sub_overflow Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-h-filter-sub-overflow.html</link>
      <description>Architecture documentation for the filter_sub_overflow class in vec_test_all_types.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-h-filter-sub-overflow.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>filter_zero Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-h-filter-zero.html</link>
      <description>Architecture documentation for the filter_zero class in vec_test_all_types.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-h-filter-zero.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>frac Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-h-frac.html</link>
      <description>Architecture documentation for the frac class in vec_test_all_types.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-h-frac.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>func_cmp Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-h-func-cmp.html</link>
      <description>Architecture documentation for the func_cmp class in vec_test_all_types.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-h-func-cmp.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>getDefaultTolerance Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-h-getdefaulttolerance.html</link>
      <description>Architecture documentation for the getDefaultTolerance class in vec_test_all_types.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-h-getdefaulttolerance.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>getTrialCount Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-h-gettrialcount.html</link>
      <description>Architecture documentation for the getTrialCount class in vec_test_all_types.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-h-gettrialcount.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>is_floating_point_v Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-h-is-floating-point-v.html</link>
      <description>Architecture documentation for the is_floating_point_v class in vec_test_all_types.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-h-is-floating-point-v.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>is_floating_point Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-h-is-floating-point.html</link>
      <description>Architecture documentation for the is_floating_point class in vec_test_all_types.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-h-is-floating-point.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>is_same_v Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-h-is-same-v.html</link>
      <description>Architecture documentation for the is_same_v class in vec_test_all_types.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-h-is-same-v.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>is_zero Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-h-is-zero.html</link>
      <description>Architecture documentation for the is_zero class in vec_test_all_types.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-h-is-zero.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>local_abs Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-h-local-abs.html</link>
      <description>Architecture documentation for the local_abs class in vec_test_all_types.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-h-local-abs.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>local_acos Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-h-local-acos.html</link>
      <description>Architecture documentation for the local_acos class in vec_test_all_types.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-h-local-acos.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>local_and Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-h-local-and.html</link>
      <description>Architecture documentation for the local_and class in vec_test_all_types.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-h-local-and.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>local_asin Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-h-local-asin.html</link>
      <description>Architecture documentation for the local_asin class in vec_test_all_types.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-h-local-asin.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>local_division Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-h-local-division.html</link>
      <description>Architecture documentation for the local_division class in vec_test_all_types.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-h-local-division.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>local_log2 Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-h-local-log2.html</link>
      <description>Architecture documentation for the local_log2 class in vec_test_all_types.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-h-local-log2.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>local_multiply Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-h-local-multiply.html</link>
      <description>Architecture documentation for the local_multiply class in vec_test_all_types.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-h-local-multiply.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>local_or Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-h-local-or.html</link>
      <description>Architecture documentation for the local_or class in vec_test_all_types.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-h-local-or.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>local_sqrt Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-h-local-sqrt.html</link>
      <description>Architecture documentation for the local_sqrt class in vec_test_all_types.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-h-local-sqrt.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>local_xor Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-h-local-xor.html</link>
      <description>Architecture documentation for the local_xor class in vec_test_all_types.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-h-local-xor.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>maximum Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-h-maximum.html</link>
      <description>Architecture documentation for the maximum class in vec_test_all_types.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-h-maximum.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>minimum Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-h-minimum.html</link>
      <description>Architecture documentation for the minimum class in vec_test_all_types.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-h-minimum.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <link>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-h-nearlyequal.html</link>
      <description>Architecture documentation for the nearlyEqual class in vec_test_all_types.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-h-nearlyequal.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-h-opmathtype.html</link>
      <description>Architecture documentation for the OpMathType class in vec_test_all_types.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-h-opmathtype.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>quantize_val Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-h-quantize-val.html</link>
      <description>Architecture documentation for the quantize_val class in vec_test_all_types.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-h-quantize-val.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>reciprocal Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-h-reciprocal.html</link>
      <description>Architecture documentation for the reciprocal class in vec_test_all_types.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-h-reciprocal.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-h-relu.html</link>
      <description>Architecture documentation for the relu class in vec_test_all_types.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-h-relu.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <link>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-h-relu6.html</link>
      <description>Architecture documentation for the relu6 class in vec_test_all_types.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-h-relu6.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>rsqrt Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-h-rsqrt.html</link>
      <description>Architecture documentation for the rsqrt class in vec_test_all_types.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-h-rsqrt.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>safe_fpt_division Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-h-safe-fpt-division.html</link>
      <description>Architecture documentation for the safe_fpt_division class in vec_test_all_types.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-h-safe-fpt-division.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-h-scalar-t.html</link>
      <description>Architecture documentation for the scalar_t class in vec_test_all_types.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-h-scalar-t.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-h-size.html</link>
      <description>Architecture documentation for the size class in vec_test_all_types.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-h-size.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-h-specialcheck.html</link>
      <description>Architecture documentation for the specialCheck class in vec_test_all_types.h from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-h-stream.html</link>
      <description>Architecture documentation for the stream class in vec_test_all_types.h from the pytorch codebase.</description>
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      <title>test_binary_fp8_e4m3 Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-h-test-binary-fp8-e4m3.html</link>
      <description>Architecture documentation for the test_binary_fp8_e4m3 class in vec_test_all_types.h from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-h-test-binary-fp8-e5m2.html</link>
      <description>Architecture documentation for the test_binary_fp8_e5m2 class in vec_test_all_types.h from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-h-test-binary.html</link>
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      <title>test_ternary Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-h-test-ternary.html</link>
      <description>Architecture documentation for the test_ternary class in vec_test_all_types.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-h-test-ternary.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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    <item>
      <title>test_unary Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-h-test-unary.html</link>
      <description>Architecture documentation for the test_unary class in vec_test_all_types.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-h-test-unary.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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    <item>
      <title>TestCaseBuilder Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-h-testcasebuilder.html</link>
      <description>Architecture documentation for the TestCaseBuilder class in vec_test_all_types.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-h-testcasebuilder.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
    </item>
    <item>
      <title>TestingCase Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-h-testingcase.html</link>
      <description>Architecture documentation for the TestingCase class in vec_test_all_types.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-h-testingcase.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
    </item>
    <item>
      <title>value Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-h-value.html</link>
      <description>Architecture documentation for the value class in vec_test_all_types.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-h-value.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
    </item>
    <item>
      <title>ValueGen Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-h-valuegen.html</link>
      <description>Architecture documentation for the ValueGen class in vec_test_all_types.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-h-valuegen.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
    </item>
    <item>
      <title>widening_subtract Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-h-widening-subtract.html</link>
      <description>Architecture documentation for the widening_subtract class in vec_test_all_types.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec-test-all-types-h-widening-subtract.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>binary_operator_via_float Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec128-bfloat16-neon-h-binary-operator-via-float.html</link>
      <description>Architecture documentation for the binary_operator_via_float class in vec128_bfloat16_neon.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec128-bfloat16-neon-h-binary-operator-via-float.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>clamp_max Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec128-bfloat16-neon-h-clamp-max.html</link>
      <description>Architecture documentation for the clamp_max class in vec128_bfloat16_neon.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec128-bfloat16-neon-h-clamp-max.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>clamp_min Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec128-bfloat16-neon-h-clamp-min.html</link>
      <description>Architecture documentation for the clamp_min class in vec128_bfloat16_neon.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec128-bfloat16-neon-h-clamp-min.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>clamp Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec128-bfloat16-neon-h-clamp.html</link>
      <description>Architecture documentation for the clamp class in vec128_bfloat16_neon.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec128-bfloat16-neon-h-clamp.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>convert_bfloat16_float Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec128-bfloat16-neon-h-convert-bfloat16-float.html</link>
      <description>Architecture documentation for the convert_bfloat16_float class in vec128_bfloat16_neon.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec128-bfloat16-neon-h-convert-bfloat16-float.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>fmadd Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec128-bfloat16-neon-h-fmadd.html</link>
      <description>Architecture documentation for the fmadd class in vec128_bfloat16_neon.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec128-bfloat16-neon-h-fmadd.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>fmsub Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec128-bfloat16-neon-h-fmsub.html</link>
      <description>Architecture documentation for the fmsub class in vec128_bfloat16_neon.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec128-bfloat16-neon-h-fmsub.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>fnmadd Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec128-bfloat16-neon-h-fnmadd.html</link>
      <description>Architecture documentation for the fnmadd class in vec128_bfloat16_neon.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec128-bfloat16-neon-h-fnmadd.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>fnmsub Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec128-bfloat16-neon-h-fnmsub.html</link>
      <description>Architecture documentation for the fnmsub class in vec128_bfloat16_neon.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec128-bfloat16-neon-h-fnmsub.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>index Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec128-bfloat16-neon-h-index.html</link>
      <description>Architecture documentation for the index class in vec128_bfloat16_neon.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec128-bfloat16-neon-h-index.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>is_vec_specialized_for Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec128-bfloat16-neon-h-is-vec-specialized-for.html</link>
      <description>Architecture documentation for the is_vec_specialized_for class in vec128_bfloat16_neon.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec128-bfloat16-neon-h-is-vec-specialized-for.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>maximum Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec128-bfloat16-neon-h-maximum.html</link>
      <description>Architecture documentation for the maximum class in vec128_bfloat16_neon.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec128-bfloat16-neon-h-maximum.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>minimum Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec128-bfloat16-neon-h-minimum.html</link>
      <description>Architecture documentation for the minimum class in vec128_bfloat16_neon.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec128-bfloat16-neon-h-minimum.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>convert Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec128-convert-h-convert.html</link>
      <description>Architecture documentation for the convert class in vec128_convert.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec128-convert-h-convert.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>convertFromBf16Impl Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec128-convert-h-convertfrombf16impl.html</link>
      <description>Architecture documentation for the convertFromBf16Impl class in vec128_convert.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec128-convert-h-convertfrombf16impl.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>convertFromBool Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec128-convert-h-convertfrombool.html</link>
      <description>Architecture documentation for the convertFromBool class in vec128_convert.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec128-convert-h-convertfrombool.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>convertImpl Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec128-convert-h-convertimpl.html</link>
      <description>Architecture documentation for the convertImpl class in vec128_convert.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec128-convert-h-convertimpl.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>convertToBf16Impl Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec128-convert-h-converttobf16impl.html</link>
      <description>Architecture documentation for the convertToBf16Impl class in vec128_convert.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec128-convert-h-converttobf16impl.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>convertToBool Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec128-convert-h-converttobool.html</link>
      <description>Architecture documentation for the convertToBool class in vec128_convert.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec128-convert-h-converttobool.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>src Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec128-convert-h-src.html</link>
      <description>Architecture documentation for the src class in vec128_convert.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec128-convert-h-src.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>arange Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec128-double-neon-h-arange.html</link>
      <description>Architecture documentation for the arange class in vec128_double_neon.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec128-double-neon-h-arange.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>Args Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec128-double-neon-h-args.html</link>
      <description>Architecture documentation for the Args class in vec128_double_neon.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec128-double-neon-h-args.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>clamp_max Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec128-double-neon-h-clamp-max.html</link>
      <description>Architecture documentation for the clamp_max class in vec128_double_neon.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec128-double-neon-h-clamp-max.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>clamp_min Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec128-double-neon-h-clamp-min.html</link>
      <description>Architecture documentation for the clamp_min class in vec128_double_neon.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec128-double-neon-h-clamp-min.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>clamp Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec128-double-neon-h-clamp.html</link>
      <description>Architecture documentation for the clamp class in vec128_double_neon.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec128-double-neon-h-clamp.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>fmadd Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec128-double-neon-h-fmadd.html</link>
      <description>Architecture documentation for the fmadd class in vec128_double_neon.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec128-double-neon-h-fmadd.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>fmsub Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec128-double-neon-h-fmsub.html</link>
      <description>Architecture documentation for the fmsub class in vec128_double_neon.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec128-double-neon-h-fmsub.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>fnmadd Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec128-double-neon-h-fnmadd.html</link>
      <description>Architecture documentation for the fnmadd class in vec128_double_neon.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec128-double-neon-h-fnmadd.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>fnmsub Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec128-double-neon-h-fnmsub.html</link>
      <description>Architecture documentation for the fnmsub class in vec128_double_neon.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec128-double-neon-h-fnmsub.html</guid>
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      <title>is_vec_specialized_for Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec128-double-neon-h-is-vec-specialized-for.html</link>
      <description>Architecture documentation for the is_vec_specialized_for class in vec128_double_neon.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec128-double-neon-h-is-vec-specialized-for.html</guid>
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      <title>mask Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec128-double-neon-h-mask.html</link>
      <description>Architecture documentation for the mask class in vec128_double_neon.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec128-double-neon-h-mask.html</guid>
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      <title>maximum Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec128-double-neon-h-maximum.html</link>
      <description>Architecture documentation for the maximum class in vec128_double_neon.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec128-double-neon-h-maximum.html</guid>
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      <title>minimum Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec128-double-neon-h-minimum.html</link>
      <description>Architecture documentation for the minimum class in vec128_double_neon.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec128-double-neon-h-minimum.html</guid>
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      <title>Vectorized Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec128-double-neon-h-vectorized.html</link>
      <description>Architecture documentation for the Vectorized class in vec128_double_neon.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec128-double-neon-h-vectorized.html</guid>
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      <title>arange Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec128-float-neon-h-arange.html</link>
      <description>Architecture documentation for the arange class in vec128_float_neon.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec128-float-neon-h-arange.html</guid>
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      <title>clamp_max Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec128-float-neon-h-clamp-max.html</link>
      <description>Architecture documentation for the clamp_max class in vec128_float_neon.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec128-float-neon-h-clamp-max.html</guid>
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      <title>clamp_min Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec128-float-neon-h-clamp-min.html</link>
      <description>Architecture documentation for the clamp_min class in vec128_float_neon.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec128-float-neon-h-clamp-min.html</guid>
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      <title>clamp Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec128-float-neon-h-clamp.html</link>
      <description>Architecture documentation for the clamp class in vec128_float_neon.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec128-float-neon-h-clamp.html</guid>
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      <title>fmadd Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec128-float-neon-h-fmadd.html</link>
      <description>Architecture documentation for the fmadd class in vec128_float_neon.h from the pytorch codebase.</description>
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      <title>fmsub Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec128-float-neon-h-fmsub.html</link>
      <description>Architecture documentation for the fmsub class in vec128_float_neon.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec128-float-neon-h-fmsub.html</guid>
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      <title>fnmadd Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec128-float-neon-h-fnmadd.html</link>
      <description>Architecture documentation for the fnmadd class in vec128_float_neon.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec128-float-neon-h-fnmadd.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
    </item>
    <item>
      <title>fnmsub Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec128-float-neon-h-fnmsub.html</link>
      <description>Architecture documentation for the fnmsub class in vec128_float_neon.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec128-float-neon-h-fnmsub.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
    </item>
    <item>
      <title>index Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec128-float-neon-h-index.html</link>
      <description>Architecture documentation for the index class in vec128_float_neon.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec128-float-neon-h-index.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
    </item>
    <item>
      <title>is_vec_specialized_for Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec128-float-neon-h-is-vec-specialized-for.html</link>
      <description>Architecture documentation for the is_vec_specialized_for class in vec128_float_neon.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec128-float-neon-h-is-vec-specialized-for.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
    </item>
    <item>
      <title>mask Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec128-float-neon-h-mask.html</link>
      <description>Architecture documentation for the mask class in vec128_float_neon.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec128-float-neon-h-mask.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
    </item>
    <item>
      <title>maximum Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec128-float-neon-h-maximum.html</link>
      <description>Architecture documentation for the maximum class in vec128_float_neon.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec128-float-neon-h-maximum.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
    </item>
    <item>
      <title>minimum Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec128-float-neon-h-minimum.html</link>
      <description>Architecture documentation for the minimum class in vec128_float_neon.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec128-float-neon-h-minimum.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
    </item>
    <item>
      <title>Vectorized Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec128-float-neon-h-vectorized.html</link>
      <description>Architecture documentation for the Vectorized class in vec128_float_neon.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec128-float-neon-h-vectorized.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
    </item>
    <item>
      <title>binary_operator_via_float Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec128-half-neon-h-binary-operator-via-float.html</link>
      <description>Architecture documentation for the binary_operator_via_float class in vec128_half_neon.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec128-half-neon-h-binary-operator-via-float.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
    </item>
    <item>
      <title>clamp_max Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec128-half-neon-h-clamp-max.html</link>
      <description>Architecture documentation for the clamp_max class in vec128_half_neon.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec128-half-neon-h-clamp-max.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
    </item>
    <item>
      <title>clamp_min Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec128-half-neon-h-clamp-min.html</link>
      <description>Architecture documentation for the clamp_min class in vec128_half_neon.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec128-half-neon-h-clamp-min.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
    </item>
    <item>
      <title>clamp Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec128-half-neon-h-clamp.html</link>
      <description>Architecture documentation for the clamp class in vec128_half_neon.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec128-half-neon-h-clamp.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
    </item>
    <item>
      <title>fmadd Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec128-half-neon-h-fmadd.html</link>
      <description>Architecture documentation for the fmadd class in vec128_half_neon.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec128-half-neon-h-fmadd.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
    </item>
    <item>
      <title>fmsub Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec128-half-neon-h-fmsub.html</link>
      <description>Architecture documentation for the fmsub class in vec128_half_neon.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec128-half-neon-h-fmsub.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
    </item>
    <item>
      <title>fnmadd Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec128-half-neon-h-fnmadd.html</link>
      <description>Architecture documentation for the fnmadd class in vec128_half_neon.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec128-half-neon-h-fnmadd.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
    </item>
    <item>
      <title>fnmsub Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec128-half-neon-h-fnmsub.html</link>
      <description>Architecture documentation for the fnmsub class in vec128_half_neon.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec128-half-neon-h-fnmsub.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
    </item>
    <item>
      <title>index Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec128-half-neon-h-index.html</link>
      <description>Architecture documentation for the index class in vec128_half_neon.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec128-half-neon-h-index.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
    </item>
    <item>
      <title>is_vec_specialized_for Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec128-half-neon-h-is-vec-specialized-for.html</link>
      <description>Architecture documentation for the is_vec_specialized_for class in vec128_half_neon.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec128-half-neon-h-is-vec-specialized-for.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
    </item>
    <item>
      <title>maximum Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec128-half-neon-h-maximum.html</link>
      <description>Architecture documentation for the maximum class in vec128_half_neon.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec128-half-neon-h-maximum.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
    </item>
    <item>
      <title>minimum Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec128-half-neon-h-minimum.html</link>
      <description>Architecture documentation for the minimum class in vec128_half_neon.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec128-half-neon-h-minimum.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
    </item>
    <item>
      <title>v00 Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec128-half-neon-h-v00.html</link>
      <description>Architecture documentation for the v00 class in vec128_half_neon.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec128-half-neon-h-v00.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
    </item>
    <item>
      <title>arange Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec128-int-aarch64-h-arange.html</link>
      <description>Architecture documentation for the arange class in vec128_int_aarch64.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec128-int-aarch64-h-arange.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
    </item>
    <item>
      <title>clamp_max Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec128-int-aarch64-h-clamp-max.html</link>
      <description>Architecture documentation for the clamp_max class in vec128_int_aarch64.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec128-int-aarch64-h-clamp-max.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
    </item>
    <item>
      <title>clamp_min Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec128-int-aarch64-h-clamp-min.html</link>
      <description>Architecture documentation for the clamp_min class in vec128_int_aarch64.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec128-int-aarch64-h-clamp-min.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
    </item>
    <item>
      <title>clamp Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec128-int-aarch64-h-clamp.html</link>
      <description>Architecture documentation for the clamp class in vec128_int_aarch64.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec128-int-aarch64-h-clamp.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
    </item>
    <item>
      <title>mask Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec128-int-aarch64-h-mask.html</link>
      <description>Architecture documentation for the mask class in vec128_int_aarch64.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec128-int-aarch64-h-mask.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
    </item>
    <item>
      <title>maximum Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec128-int-aarch64-h-maximum.html</link>
      <description>Architecture documentation for the maximum class in vec128_int_aarch64.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec128-int-aarch64-h-maximum.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
    </item>
    <item>
      <title>minimum Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec128-int-aarch64-h-minimum.html</link>
      <description>Architecture documentation for the minimum class in vec128_int_aarch64.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec128-int-aarch64-h-minimum.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
    </item>
    <item>
      <title>arange Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec128-reduced-precision-common-neon-h-arange.html</link>
      <description>Architecture documentation for the arange class in vec128_reduced_precision_common_neon.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec128-reduced-precision-common-neon-h-arange.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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    <item>
      <title>mask Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec128-reduced-precision-common-neon-h-mask.html</link>
      <description>Architecture documentation for the mask class in vec128_reduced_precision_common_neon.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec128-reduced-precision-common-neon-h-mask.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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    <item>
      <title>VecT Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec128-reduced-precision-common-neon-h-vect.html</link>
      <description>Architecture documentation for the VecT class in vec128_reduced_precision_common_neon.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec128-reduced-precision-common-neon-h-vect.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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    <item>
      <title>arange Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec128-uint-aarch64-h-arange.html</link>
      <description>Architecture documentation for the arange class in vec128_uint_aarch64.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec128-uint-aarch64-h-arange.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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    <item>
      <title>clamp_max Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec128-uint-aarch64-h-clamp-max.html</link>
      <description>Architecture documentation for the clamp_max class in vec128_uint_aarch64.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec128-uint-aarch64-h-clamp-max.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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    <item>
      <title>clamp_min Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec128-uint-aarch64-h-clamp-min.html</link>
      <description>Architecture documentation for the clamp_min class in vec128_uint_aarch64.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec128-uint-aarch64-h-clamp-min.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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    <item>
      <title>clamp Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec128-uint-aarch64-h-clamp.html</link>
      <description>Architecture documentation for the clamp class in vec128_uint_aarch64.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec128-uint-aarch64-h-clamp.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>mask Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec128-uint-aarch64-h-mask.html</link>
      <description>Architecture documentation for the mask class in vec128_uint_aarch64.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec128-uint-aarch64-h-mask.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>maximum Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec128-uint-aarch64-h-maximum.html</link>
      <description>Architecture documentation for the maximum class in vec128_uint_aarch64.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec128-uint-aarch64-h-maximum.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>minimum Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec128-uint-aarch64-h-minimum.html</link>
      <description>Architecture documentation for the minimum class in vec128_uint_aarch64.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec128-uint-aarch64-h-minimum.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>arange Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-16bit-float-h-arange.html</link>
      <description>Architecture documentation for the arange class in vec256_16bit_float.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-16bit-float-h-arange.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>binary_op_as_fp32 Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-16bit-float-h-binary-op-as-fp32.html</link>
      <description>Architecture documentation for the binary_op_as_fp32 class in vec256_16bit_float.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-16bit-float-h-binary-op-as-fp32.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>cvt_from_fp32 Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-16bit-float-h-cvt-from-fp32.html</link>
      <description>Architecture documentation for the cvt_from_fp32 class in vec256_16bit_float.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-16bit-float-h-cvt-from-fp32.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>cvt_to_fp32 Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-16bit-float-h-cvt-to-fp32.html</link>
      <description>Architecture documentation for the cvt_to_fp32 class in vec256_16bit_float.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-16bit-float-h-cvt-to-fp32.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>is_compare_op Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-16bit-float-h-is-compare-op.html</link>
      <description>Architecture documentation for the is_compare_op class in vec256_16bit_float.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-16bit-float-h-is-compare-op.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>mask Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-16bit-float-h-mask.html</link>
      <description>Architecture documentation for the mask class in vec256_16bit_float.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-16bit-float-h-mask.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>clamp_max Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-bfloat16-h-clamp-max.html</link>
      <description>Architecture documentation for the clamp_max class in vec256_bfloat16.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-bfloat16-h-clamp-max.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>clamp_min Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-bfloat16-h-clamp-min.html</link>
      <description>Architecture documentation for the clamp_min class in vec256_bfloat16.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-bfloat16-h-clamp-min.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>clamp Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-bfloat16-h-clamp.html</link>
      <description>Architecture documentation for the clamp class in vec256_bfloat16.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-bfloat16-h-clamp.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
    </item>
    <item>
      <title>convert Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-bfloat16-h-convert.html</link>
      <description>Architecture documentation for the convert class in vec256_bfloat16.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-bfloat16-h-convert.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
    </item>
    <item>
      <title>fmadd Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-bfloat16-h-fmadd.html</link>
      <description>Architecture documentation for the fmadd class in vec256_bfloat16.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-bfloat16-h-fmadd.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
    </item>
    <item>
      <title>is_vec_specialized_for Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-bfloat16-h-is-vec-specialized-for.html</link>
      <description>Architecture documentation for the is_vec_specialized_for class in vec256_bfloat16.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-bfloat16-h-is-vec-specialized-for.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
    </item>
    <item>
      <title>maximum Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-bfloat16-h-maximum.html</link>
      <description>Architecture documentation for the maximum class in vec256_bfloat16.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-bfloat16-h-maximum.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
    </item>
    <item>
      <title>minimum Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-bfloat16-h-minimum.html</link>
      <description>Architecture documentation for the minimum class in vec256_bfloat16.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-bfloat16-h-minimum.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
    </item>
    <item>
      <title>Vectorized16 Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-bfloat16-h-vectorized16.html</link>
      <description>Architecture documentation for the Vectorized16 class in vec256_bfloat16.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-bfloat16-h-vectorized16.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
    </item>
    <item>
      <title>convert_to_int_of_same_size Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-common-vsx-h-convert-to-int-of-same-size.html</link>
      <description>Architecture documentation for the convert_to_int_of_same_size class in vec256_common_vsx.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-common-vsx-h-convert-to-int-of-same-size.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
    </item>
    <item>
      <title>convert Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-common-vsx-h-convert.html</link>
      <description>Architecture documentation for the convert class in vec256_common_vsx.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-common-vsx-h-convert.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
    </item>
    <item>
      <title>deinterleave2 Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-common-vsx-h-deinterleave2.html</link>
      <description>Architecture documentation for the deinterleave2 class in vec256_common_vsx.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-common-vsx-h-deinterleave2.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
    </item>
    <item>
      <title>fmadd Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-common-vsx-h-fmadd.html</link>
      <description>Architecture documentation for the fmadd class in vec256_common_vsx.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-common-vsx-h-fmadd.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
    </item>
    <item>
      <title>interleave2 Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-common-vsx-h-interleave2.html</link>
      <description>Architecture documentation for the interleave2 class in vec256_common_vsx.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-common-vsx-h-interleave2.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
    </item>
    <item>
      <title>arange Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-complex-double-h-arange.html</link>
      <description>Architecture documentation for the arange class in vec256_complex_double.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-complex-double-h-arange.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
    </item>
    <item>
      <title>is_vec_specialized_for Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-complex-double-h-is-vec-specialized-for.html</link>
      <description>Architecture documentation for the is_vec_specialized_for class in vec256_complex_double.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-complex-double-h-is-vec-specialized-for.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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    <item>
      <title>mask Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-complex-double-h-mask.html</link>
      <description>Architecture documentation for the mask class in vec256_complex_double.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-complex-double-h-mask.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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    <item>
      <title>maximum Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-complex-double-h-maximum.html</link>
      <description>Architecture documentation for the maximum class in vec256_complex_double.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-complex-double-h-maximum.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
    </item>
    <item>
      <title>minimum Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-complex-double-h-minimum.html</link>
      <description>Architecture documentation for the minimum class in vec256_complex_double.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-complex-double-h-minimum.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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    <item>
      <title>Vectorized Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-complex-double-h-vectorized.html</link>
      <description>Architecture documentation for the Vectorized class in vec256_complex_double.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-complex-double-h-vectorized.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
    </item>
    <item>
      <title>arange Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-complex-double-vsx-h-arange.html</link>
      <description>Architecture documentation for the arange class in vec256_complex_double_vsx.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-complex-double-vsx-h-arange.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
    </item>
    <item>
      <title>is_vec_specialized_for Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-complex-double-vsx-h-is-vec-specialized-for.html</link>
      <description>Architecture documentation for the is_vec_specialized_for class in vec256_complex_double_vsx.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-complex-double-vsx-h-is-vec-specialized-for.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
    </item>
    <item>
      <title>mask Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-complex-double-vsx-h-mask.html</link>
      <description>Architecture documentation for the mask class in vec256_complex_double_vsx.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-complex-double-vsx-h-mask.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
    </item>
    <item>
      <title>maximum Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-complex-double-vsx-h-maximum.html</link>
      <description>Architecture documentation for the maximum class in vec256_complex_double_vsx.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-complex-double-vsx-h-maximum.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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    <item>
      <title>__may_alias__ Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-complex-double-vsx-h-may-alias.html</link>
      <description>Architecture documentation for the __may_alias__ class in vec256_complex_double_vsx.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-complex-double-vsx-h-may-alias.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
    </item>
    <item>
      <title>minimum Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-complex-double-vsx-h-minimum.html</link>
      <description>Architecture documentation for the minimum class in vec256_complex_double_vsx.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-complex-double-vsx-h-minimum.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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    <item>
      <title>arange Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-complex-float-h-arange.html</link>
      <description>Architecture documentation for the arange class in vec256_complex_float.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-complex-float-h-arange.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
    </item>
    <item>
      <title>is_vec_specialized_for Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-complex-float-h-is-vec-specialized-for.html</link>
      <description>Architecture documentation for the is_vec_specialized_for class in vec256_complex_float.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-complex-float-h-is-vec-specialized-for.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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    <item>
      <title>mask Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-complex-float-h-mask.html</link>
      <description>Architecture documentation for the mask class in vec256_complex_float.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-complex-float-h-mask.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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    <item>
      <title>maximum Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-complex-float-h-maximum.html</link>
      <description>Architecture documentation for the maximum class in vec256_complex_float.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-complex-float-h-maximum.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
    </item>
    <item>
      <title>minimum Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-complex-float-h-minimum.html</link>
      <description>Architecture documentation for the minimum class in vec256_complex_float.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-complex-float-h-minimum.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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    <item>
      <title>Vectorized Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-complex-float-h-vectorized.html</link>
      <description>Architecture documentation for the Vectorized class in vec256_complex_float.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-complex-float-h-vectorized.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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    <item>
      <title>arange Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-complex-float-vsx-h-arange.html</link>
      <description>Architecture documentation for the arange class in vec256_complex_float_vsx.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-complex-float-vsx-h-arange.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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    <item>
      <title>is_vec_specialized_for Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-complex-float-vsx-h-is-vec-specialized-for.html</link>
      <description>Architecture documentation for the is_vec_specialized_for class in vec256_complex_float_vsx.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-complex-float-vsx-h-is-vec-specialized-for.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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    <item>
      <title>mask Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-complex-float-vsx-h-mask.html</link>
      <description>Architecture documentation for the mask class in vec256_complex_float_vsx.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-complex-float-vsx-h-mask.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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    <item>
      <title>maximum Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-complex-float-vsx-h-maximum.html</link>
      <description>Architecture documentation for the maximum class in vec256_complex_float_vsx.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-complex-float-vsx-h-maximum.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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    <item>
      <title>__may_alias__ Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-complex-float-vsx-h-may-alias.html</link>
      <description>Architecture documentation for the __may_alias__ class in vec256_complex_float_vsx.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-complex-float-vsx-h-may-alias.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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    <item>
      <title>minimum Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-complex-float-vsx-h-minimum.html</link>
      <description>Architecture documentation for the minimum class in vec256_complex_float_vsx.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-complex-float-vsx-h-minimum.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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    <item>
      <title>convert_to_fp_of_same_size Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-convert-h-convert-to-fp-of-same-size.html</link>
      <description>Architecture documentation for the convert_to_fp_of_same_size class in vec256_convert.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-convert-h-convert-to-fp-of-same-size.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>is_reduced_floating_point_v Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-convert-h-is-reduced-floating-point-v.html</link>
      <description>Architecture documentation for the is_reduced_floating_point_v class in vec256_convert.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-convert-h-is-reduced-floating-point-v.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>is_same_v Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-convert-h-is-same-v.html</link>
      <description>Architecture documentation for the is_same_v class in vec256_convert.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-convert-h-is-same-v.html</guid>
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      <title>src Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-convert-h-src.html</link>
      <description>Architecture documentation for the src class in vec256_convert.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-convert-h-src.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>arange Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-double-h-arange.html</link>
      <description>Architecture documentation for the arange class in vec256_double.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-double-h-arange.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>clamp_max Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-double-h-clamp-max.html</link>
      <description>Architecture documentation for the clamp_max class in vec256_double.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-double-h-clamp-max.html</guid>
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      <title>clamp_min Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-double-h-clamp-min.html</link>
      <description>Architecture documentation for the clamp_min class in vec256_double.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-double-h-clamp-min.html</guid>
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      <title>clamp Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-double-h-clamp.html</link>
      <description>Architecture documentation for the clamp class in vec256_double.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-double-h-clamp.html</guid>
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      <title>convert Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-double-h-convert.html</link>
      <description>Architecture documentation for the convert class in vec256_double.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-double-h-convert.html</guid>
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      <title>fmadd Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-double-h-fmadd.html</link>
      <description>Architecture documentation for the fmadd class in vec256_double.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-double-h-fmadd.html</guid>
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      <title>fmsub Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-double-h-fmsub.html</link>
      <description>Architecture documentation for the fmsub class in vec256_double.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-double-h-fmsub.html</guid>
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      <title>fnmadd Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-double-h-fnmadd.html</link>
      <description>Architecture documentation for the fnmadd class in vec256_double.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-double-h-fnmadd.html</guid>
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      <title>fnmsub Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-double-h-fnmsub.html</link>
      <description>Architecture documentation for the fnmsub class in vec256_double.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-double-h-fnmsub.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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    <item>
      <title>is_vec_specialized_for Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-double-h-is-vec-specialized-for.html</link>
      <description>Architecture documentation for the is_vec_specialized_for class in vec256_double.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-double-h-is-vec-specialized-for.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
    </item>
    <item>
      <title>mask Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-double-h-mask.html</link>
      <description>Architecture documentation for the mask class in vec256_double.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-double-h-mask.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
    </item>
    <item>
      <title>maximum Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-double-h-maximum.html</link>
      <description>Architecture documentation for the maximum class in vec256_double.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-double-h-maximum.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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    <item>
      <title>minimum Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-double-h-minimum.html</link>
      <description>Architecture documentation for the minimum class in vec256_double.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-double-h-minimum.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
    </item>
    <item>
      <title>Vectorized Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-double-h-vectorized.html</link>
      <description>Architecture documentation for the Vectorized class in vec256_double.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-double-h-vectorized.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
    </item>
    <item>
      <title>arange Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-double-vsx-h-arange.html</link>
      <description>Architecture documentation for the arange class in vec256_double_vsx.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-double-vsx-h-arange.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
    </item>
    <item>
      <title>is_vec_specialized_for Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-double-vsx-h-is-vec-specialized-for.html</link>
      <description>Architecture documentation for the is_vec_specialized_for class in vec256_double_vsx.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-double-vsx-h-is-vec-specialized-for.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
    </item>
    <item>
      <title>mask Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-double-vsx-h-mask.html</link>
      <description>Architecture documentation for the mask class in vec256_double_vsx.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-double-vsx-h-mask.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
    </item>
    <item>
      <title>maximum Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-double-vsx-h-maximum.html</link>
      <description>Architecture documentation for the maximum class in vec256_double_vsx.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-double-vsx-h-maximum.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
    </item>
    <item>
      <title>__may_alias__ Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-double-vsx-h-may-alias.html</link>
      <description>Architecture documentation for the __may_alias__ class in vec256_double_vsx.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-double-vsx-h-may-alias.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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    <item>
      <title>minimum Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-double-vsx-h-minimum.html</link>
      <description>Architecture documentation for the minimum class in vec256_double_vsx.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-double-vsx-h-minimum.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
    </item>
    <item>
      <title>arange Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-float-h-arange.html</link>
      <description>Architecture documentation for the arange class in vec256_float.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-float-h-arange.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
    </item>
    <item>
      <title>clamp_max Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-float-h-clamp-max.html</link>
      <description>Architecture documentation for the clamp_max class in vec256_float.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-float-h-clamp-max.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
    </item>
    <item>
      <title>clamp_min Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-float-h-clamp-min.html</link>
      <description>Architecture documentation for the clamp_min class in vec256_float.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-float-h-clamp-min.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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    <item>
      <title>clamp Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-float-h-clamp.html</link>
      <description>Architecture documentation for the clamp class in vec256_float.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-float-h-clamp.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
    </item>
    <item>
      <title>convert Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-float-h-convert.html</link>
      <description>Architecture documentation for the convert class in vec256_float.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-float-h-convert.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
    </item>
    <item>
      <title>fmadd Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-float-h-fmadd.html</link>
      <description>Architecture documentation for the fmadd class in vec256_float.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-float-h-fmadd.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
    </item>
    <item>
      <title>fmsub Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-float-h-fmsub.html</link>
      <description>Architecture documentation for the fmsub class in vec256_float.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-float-h-fmsub.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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    <item>
      <title>fnmadd Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-float-h-fnmadd.html</link>
      <description>Architecture documentation for the fnmadd class in vec256_float.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-float-h-fnmadd.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
    </item>
    <item>
      <title>fnmsub Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-float-h-fnmsub.html</link>
      <description>Architecture documentation for the fnmsub class in vec256_float.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-float-h-fnmsub.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
    </item>
    <item>
      <title>is_vec_specialized_for Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-float-h-is-vec-specialized-for.html</link>
      <description>Architecture documentation for the is_vec_specialized_for class in vec256_float.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-float-h-is-vec-specialized-for.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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    <item>
      <title>mask Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-float-h-mask.html</link>
      <description>Architecture documentation for the mask class in vec256_float.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-float-h-mask.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
    </item>
    <item>
      <title>maximum Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-float-h-maximum.html</link>
      <description>Architecture documentation for the maximum class in vec256_float.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-float-h-maximum.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
    </item>
    <item>
      <title>minimum Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-float-h-minimum.html</link>
      <description>Architecture documentation for the minimum class in vec256_float.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-float-h-minimum.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>transpose_mxn Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-float-h-transpose-mxn.html</link>
      <description>Architecture documentation for the transpose_mxn class in vec256_float.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-float-h-transpose-mxn.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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    <item>
      <title>Vectorized Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-float-h-vectorized.html</link>
      <description>Architecture documentation for the Vectorized class in vec256_float.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-float-h-vectorized.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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    <item>
      <title>arange Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-float-vsx-h-arange.html</link>
      <description>Architecture documentation for the arange class in vec256_float_vsx.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-float-vsx-h-arange.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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    <item>
      <title>is_vec_specialized_for Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-float-vsx-h-is-vec-specialized-for.html</link>
      <description>Architecture documentation for the is_vec_specialized_for class in vec256_float_vsx.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-float-vsx-h-is-vec-specialized-for.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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    <item>
      <title>mask Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-float-vsx-h-mask.html</link>
      <description>Architecture documentation for the mask class in vec256_float_vsx.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-float-vsx-h-mask.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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    <item>
      <title>__may_alias__ Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-float-vsx-h-may-alias.html</link>
      <description>Architecture documentation for the __may_alias__ class in vec256_float_vsx.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-float-vsx-h-may-alias.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>cast Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-h-cast.html</link>
      <description>Architecture documentation for the cast class in vec256.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-h-cast.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>convert_to_fp_of_same_size Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-h-convert-to-fp-of-same-size.html</link>
      <description>Architecture documentation for the convert_to_fp_of_same_size class in vec256.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-h-convert-to-fp-of-same-size.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>convert_to_int_of_same_size Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-h-convert-to-int-of-same-size.html</link>
      <description>Architecture documentation for the convert_to_int_of_same_size class in vec256.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-h-convert-to-int-of-same-size.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>deinterleave2 Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-h-deinterleave2.html</link>
      <description>Architecture documentation for the deinterleave2 class in vec256.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-h-deinterleave2.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>flip Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-h-flip.html</link>
      <description>Architecture documentation for the flip class in vec256.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-h-flip.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>interleave2 Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-h-interleave2.html</link>
      <description>Architecture documentation for the interleave2 class in vec256.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-h-interleave2.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>scale Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-h-scale.html</link>
      <description>Architecture documentation for the scale class in vec256.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-h-scale.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>stream Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-h-stream.html</link>
      <description>Architecture documentation for the stream class in vec256.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-h-stream.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>clamp_max Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-half-h-clamp-max.html</link>
      <description>Architecture documentation for the clamp_max class in vec256_half.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-half-h-clamp-max.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>clamp_min Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-half-h-clamp-min.html</link>
      <description>Architecture documentation for the clamp_min class in vec256_half.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-half-h-clamp-min.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>clamp Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-half-h-clamp.html</link>
      <description>Architecture documentation for the clamp class in vec256_half.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-half-h-clamp.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>convert Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-half-h-convert.html</link>
      <description>Architecture documentation for the convert class in vec256_half.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-half-h-convert.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>fmadd Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-half-h-fmadd.html</link>
      <description>Architecture documentation for the fmadd class in vec256_half.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-half-h-fmadd.html</guid>
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      <title>is_vec_specialized_for Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-half-h-is-vec-specialized-for.html</link>
      <description>Architecture documentation for the is_vec_specialized_for class in vec256_half.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-half-h-is-vec-specialized-for.html</guid>
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      <title>maximum Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-half-h-maximum.html</link>
      <description>Architecture documentation for the maximum class in vec256_half.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-half-h-maximum.html</guid>
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      <title>minimum Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-half-h-minimum.html</link>
      <description>Architecture documentation for the minimum class in vec256_half.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-half-h-minimum.html</guid>
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      <title>Vectorized16 Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-half-h-vectorized16.html</link>
      <description>Architecture documentation for the Vectorized16 class in vec256_half.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-half-h-vectorized16.html</guid>
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      <title>arange Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-int-h-arange.html</link>
      <description>Architecture documentation for the arange class in vec256_int.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-int-h-arange.html</guid>
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      <title>clamp_max Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-int-h-clamp-max.html</link>
      <description>Architecture documentation for the clamp_max class in vec256_int.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-int-h-clamp-max.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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    <item>
      <title>clamp_min Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-int-h-clamp-min.html</link>
      <description>Architecture documentation for the clamp_min class in vec256_int.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-int-h-clamp-min.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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    <item>
      <title>clamp Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-int-h-clamp.html</link>
      <description>Architecture documentation for the clamp class in vec256_int.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-int-h-clamp.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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    <item>
      <title>convert_to_int32 Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-int-h-convert-to-int32.html</link>
      <description>Architecture documentation for the convert_to_int32 class in vec256_int.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-int-h-convert-to-int32.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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    <item>
      <title>convert Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-int-h-convert.html</link>
      <description>Architecture documentation for the convert class in vec256_int.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-int-h-convert.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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    <item>
      <title>emulate Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-int-h-emulate.html</link>
      <description>Architecture documentation for the emulate class in vec256_int.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-int-h-emulate.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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    <item>
      <title>int_elementwise_binary_256 Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-int-h-int-elementwise-binary-256.html</link>
      <description>Architecture documentation for the int_elementwise_binary_256 class in vec256_int.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-int-h-int-elementwise-binary-256.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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    <item>
      <title>is_same_v Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-int-h-is-same-v.html</link>
      <description>Architecture documentation for the is_same_v class in vec256_int.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-int-h-is-same-v.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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    <item>
      <title>is_vec_specialized_for Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-int-h-is-vec-specialized-for.html</link>
      <description>Architecture documentation for the is_vec_specialized_for class in vec256_int.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-int-h-is-vec-specialized-for.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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    <item>
      <title>left_shift Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-int-h-left-shift.html</link>
      <description>Architecture documentation for the left_shift class in vec256_int.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-int-h-left-shift.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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    <item>
      <title>mask Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-int-h-mask.html</link>
      <description>Architecture documentation for the mask class in vec256_int.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-int-h-mask.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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    <item>
      <title>maximum Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-int-h-maximum.html</link>
      <description>Architecture documentation for the maximum class in vec256_int.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-int-h-maximum.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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    <item>
      <title>minimum Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-int-h-minimum.html</link>
      <description>Architecture documentation for the minimum class in vec256_int.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-int-h-minimum.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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    <item>
      <title>Vectorized8 Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-int-h-vectorized8.html</link>
      <description>Architecture documentation for the Vectorized8 class in vec256_int.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-int-h-vectorized8.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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    <item>
      <title>Vectorizedi Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-int-h-vectorizedi.html</link>
      <description>Architecture documentation for the Vectorizedi class in vec256_int.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-int-h-vectorizedi.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>arange Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-int16-vsx-h-arange.html</link>
      <description>Architecture documentation for the arange class in vec256_int16_vsx.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-int16-vsx-h-arange.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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    <item>
      <title>is_vec_specialized_for Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-int16-vsx-h-is-vec-specialized-for.html</link>
      <description>Architecture documentation for the is_vec_specialized_for class in vec256_int16_vsx.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-int16-vsx-h-is-vec-specialized-for.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>mask Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-int16-vsx-h-mask.html</link>
      <description>Architecture documentation for the mask class in vec256_int16_vsx.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-int16-vsx-h-mask.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>__may_alias__ Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-int16-vsx-h-may-alias.html</link>
      <description>Architecture documentation for the __may_alias__ class in vec256_int16_vsx.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-int16-vsx-h-may-alias.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>arange Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-int32-vsx-h-arange.html</link>
      <description>Architecture documentation for the arange class in vec256_int32_vsx.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-int32-vsx-h-arange.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>is_vec_specialized_for Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-int32-vsx-h-is-vec-specialized-for.html</link>
      <description>Architecture documentation for the is_vec_specialized_for class in vec256_int32_vsx.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-int32-vsx-h-is-vec-specialized-for.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>mask Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-int32-vsx-h-mask.html</link>
      <description>Architecture documentation for the mask class in vec256_int32_vsx.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-int32-vsx-h-mask.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>__may_alias__ Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-int32-vsx-h-may-alias.html</link>
      <description>Architecture documentation for the __may_alias__ class in vec256_int32_vsx.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-int32-vsx-h-may-alias.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>arange Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-int64-vsx-h-arange.html</link>
      <description>Architecture documentation for the arange class in vec256_int64_vsx.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-int64-vsx-h-arange.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>is_vec_specialized_for Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-int64-vsx-h-is-vec-specialized-for.html</link>
      <description>Architecture documentation for the is_vec_specialized_for class in vec256_int64_vsx.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-int64-vsx-h-is-vec-specialized-for.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>mask Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-int64-vsx-h-mask.html</link>
      <description>Architecture documentation for the mask class in vec256_int64_vsx.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-int64-vsx-h-mask.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>maximum Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-int64-vsx-h-maximum.html</link>
      <description>Architecture documentation for the maximum class in vec256_int64_vsx.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-int64-vsx-h-maximum.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>__may_alias__ Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-int64-vsx-h-may-alias.html</link>
      <description>Architecture documentation for the __may_alias__ class in vec256_int64_vsx.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-int64-vsx-h-may-alias.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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    <item>
      <title>minimum Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-int64-vsx-h-minimum.html</link>
      <description>Architecture documentation for the minimum class in vec256_int64_vsx.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-int64-vsx-h-minimum.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>all_masked Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-mask-h-all-masked.html</link>
      <description>Architecture documentation for the all_masked class in vec256_mask.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-mask-h-all-masked.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>all_zero Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-mask-h-all-zero.html</link>
      <description>Architecture documentation for the all_zero class in vec256_mask.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-mask-h-all-zero.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>dst_n Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-mask-h-dst-n.html</link>
      <description>Architecture documentation for the dst_n class in vec256_mask.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-mask-h-dst-n.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>is_masked Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-mask-h-is-masked.html</link>
      <description>Architecture documentation for the is_masked class in vec256_mask.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-mask-h-is-masked.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>is_same_v Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-mask-h-is-same-v.html</link>
      <description>Architecture documentation for the is_same_v class in vec256_mask.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-mask-h-is-same-v.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>vec_mask Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-mask-h-vec-mask.html</link>
      <description>Architecture documentation for the vec_mask class in vec256_mask.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-mask-h-vec-mask.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>dst_n Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-mask-vsx-h-dst-n.html</link>
      <description>Architecture documentation for the dst_n class in vec256_mask_vsx.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-mask-vsx-h-dst-n.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>convert_float_to_int8 Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-qint-h-convert-float-to-int8.html</link>
      <description>Architecture documentation for the convert_float_to_int8 class in vec256_qint.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-qint-h-convert-float-to-int8.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>is_same_v Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-qint-h-is-same-v.html</link>
      <description>Architecture documentation for the is_same_v class in vec256_qint.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-qint-h-is-same-v.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>is_vec_specialized_for Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-qint-h-is-vec-specialized-for.html</link>
      <description>Architecture documentation for the is_vec_specialized_for class in vec256_qint.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-qint-h-is-vec-specialized-for.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>maximum Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-qint-h-maximum.html</link>
      <description>Architecture documentation for the maximum class in vec256_qint.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-qint-h-maximum.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>pack_saturate_and_clamp Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-qint-h-pack-saturate-and-clamp.html</link>
      <description>Architecture documentation for the pack_saturate_and_clamp class in vec256_qint.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-qint-h-pack-saturate-and-clamp.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>RequantizeAvx2 Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-qint-h-requantizeavx2.html</link>
      <description>Architecture documentation for the RequantizeAvx2 class in vec256_qint.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-qint-h-requantizeavx2.html</guid>
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      <title>size_ Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-qint-h-size-2.html</link>
      <description>Architecture documentation for the size_ class in vec256_qint.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-qint-h-size-2.html</guid>
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      <title>size Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-qint-h-size.html</link>
      <description>Architecture documentation for the size class in vec256_qint.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-qint-h-size.html</guid>
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      <title>VectorizedQuantizedConverter Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-qint-h-vectorizedquantizedconverter.html</link>
      <description>Architecture documentation for the VectorizedQuantizedConverter class in vec256_qint.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-qint-h-vectorizedquantizedconverter.html</guid>
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      <title>void Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-qint-h-void.html</link>
      <description>Architecture documentation for the void class in vec256_qint.h from the pytorch codebase.</description>
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      <title>is_vec_specialized_for Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-qint32-vsx-h-is-vec-specialized-for.html</link>
      <description>Architecture documentation for the is_vec_specialized_for class in vec256_qint32_vsx.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-qint32-vsx-h-is-vec-specialized-for.html</guid>
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      <title>maximum Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-qint32-vsx-h-maximum.html</link>
      <description>Architecture documentation for the maximum class in vec256_qint32_vsx.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-qint32-vsx-h-maximum.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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    <item>
      <title>__may_alias__ Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-qint32-vsx-h-may-alias.html</link>
      <description>Architecture documentation for the __may_alias__ class in vec256_qint32_vsx.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-qint32-vsx-h-may-alias.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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    <item>
      <title>minimum Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-qint32-vsx-h-minimum.html</link>
      <description>Architecture documentation for the minimum class in vec256_qint32_vsx.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-qint32-vsx-h-minimum.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
    </item>
    <item>
      <title>is_vec_specialized_for Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-qint8-vsx-h-is-vec-specialized-for.html</link>
      <description>Architecture documentation for the is_vec_specialized_for class in vec256_qint8_vsx.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-qint8-vsx-h-is-vec-specialized-for.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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    <item>
      <title>maximum Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-qint8-vsx-h-maximum.html</link>
      <description>Architecture documentation for the maximum class in vec256_qint8_vsx.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-qint8-vsx-h-maximum.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
    </item>
    <item>
      <title>__may_alias__ Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-qint8-vsx-h-may-alias.html</link>
      <description>Architecture documentation for the __may_alias__ class in vec256_qint8_vsx.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-qint8-vsx-h-may-alias.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
    </item>
    <item>
      <title>minimum Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-qint8-vsx-h-minimum.html</link>
      <description>Architecture documentation for the minimum class in vec256_qint8_vsx.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-qint8-vsx-h-minimum.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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    <item>
      <title>is_vec_specialized_for Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-quint8-vsx-h-is-vec-specialized-for.html</link>
      <description>Architecture documentation for the is_vec_specialized_for class in vec256_quint8_vsx.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-quint8-vsx-h-is-vec-specialized-for.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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    <item>
      <title>maximum Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-quint8-vsx-h-maximum.html</link>
      <description>Architecture documentation for the maximum class in vec256_quint8_vsx.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-quint8-vsx-h-maximum.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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    <item>
      <title>__may_alias__ Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-quint8-vsx-h-may-alias.html</link>
      <description>Architecture documentation for the __may_alias__ class in vec256_quint8_vsx.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-quint8-vsx-h-may-alias.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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    <item>
      <title>minimum Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-quint8-vsx-h-minimum.html</link>
      <description>Architecture documentation for the minimum class in vec256_quint8_vsx.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-quint8-vsx-h-minimum.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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    <item>
      <title>abs Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-zarch-h-abs.html</link>
      <description>Architecture documentation for the abs class in vec256_zarch.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-zarch-h-abs.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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    <item>
      <title>angle Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-zarch-h-angle.html</link>
      <description>Architecture documentation for the angle class in vec256_zarch.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-zarch-h-angle.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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    <item>
      <title>blend_choice Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-zarch-h-blend-choice.html</link>
      <description>Architecture documentation for the blend_choice class in vec256_zarch.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-zarch-h-blend-choice.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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    <item>
      <title>blendChoice Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-zarch-h-blendchoice.html</link>
      <description>Architecture documentation for the blendChoice class in vec256_zarch.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-zarch-h-blendchoice.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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    <item>
      <title>cast_zvector Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-zarch-h-cast-zvector.html</link>
      <description>Architecture documentation for the cast_zvector class in vec256_zarch.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-zarch-h-cast-zvector.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>clamp_max Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-zarch-h-clamp-max.html</link>
      <description>Architecture documentation for the clamp_max class in vec256_zarch.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-zarch-h-clamp-max.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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    <item>
      <title>clamp_min Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-zarch-h-clamp-min.html</link>
      <description>Architecture documentation for the clamp_min class in vec256_zarch.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-zarch-h-clamp-min.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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    <item>
      <title>convert_float_to_int8 Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-zarch-h-convert-float-to-int8.html</link>
      <description>Architecture documentation for the convert_float_to_int8 class in vec256_zarch.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-zarch-h-convert-float-to-int8.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>convert_int8_to_float Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-zarch-h-convert-int8-to-float.html</link>
      <description>Architecture documentation for the convert_int8_to_float class in vec256_zarch.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-zarch-h-convert-int8-to-float.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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    <item>
      <title>convert_to_int_of_same_size Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-zarch-h-convert-to-int-of-same-size.html</link>
      <description>Architecture documentation for the convert_to_int_of_same_size class in vec256_zarch.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-zarch-h-convert-to-int-of-same-size.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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    <item>
      <title>convert Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-zarch-h-convert.html</link>
      <description>Architecture documentation for the convert class in vec256_zarch.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-zarch-h-convert.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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    <item>
      <title>declval Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-zarch-h-declval.html</link>
      <description>Architecture documentation for the declval class in vec256_zarch.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-zarch-h-declval.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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    <item>
      <title>deinterleave2 Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-zarch-h-deinterleave2.html</link>
      <description>Architecture documentation for the deinterleave2 class in vec256_zarch.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-zarch-h-deinterleave2.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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    <item>
      <title>float_num_vecs Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-zarch-h-float-num-vecs.html</link>
      <description>Architecture documentation for the float_num_vecs class in vec256_zarch.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-zarch-h-float-num-vecs.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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    <item>
      <title>fmadd Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-zarch-h-fmadd.html</link>
      <description>Architecture documentation for the fmadd class in vec256_zarch.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-zarch-h-fmadd.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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    <item>
      <title>GetBpermZeroMask Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-zarch-h-getbpermzeromask.html</link>
      <description>Architecture documentation for the GetBpermZeroMask class in vec256_zarch.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-zarch-h-getbpermzeromask.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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    <item>
      <title>GetMask1 Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-zarch-h-getmask1.html</link>
      <description>Architecture documentation for the GetMask1 class in vec256_zarch.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-zarch-h-getmask1.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>GetMask2 Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-zarch-h-getmask2.html</link>
      <description>Architecture documentation for the GetMask2 class in vec256_zarch.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-zarch-h-getmask2.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>image_half Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-zarch-h-image-half.html</link>
      <description>Architecture documentation for the image_half class in vec256_zarch.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-zarch-h-image-half.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>image_mask Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-zarch-h-image-mask.html</link>
      <description>Architecture documentation for the image_mask class in vec256_zarch.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-zarch-h-image-mask.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>image_one Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-zarch-h-image-one.html</link>
      <description>Architecture documentation for the image_one class in vec256_zarch.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-zarch-h-image-one.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>int_num_vecs Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-zarch-h-int-num-vecs.html</link>
      <description>Architecture documentation for the int_num_vecs class in vec256_zarch.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-zarch-h-int-num-vecs.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>interleave2 Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-zarch-h-interleave2.html</link>
      <description>Architecture documentation for the interleave2 class in vec256_zarch.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-zarch-h-interleave2.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>is_floating_point_v Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-zarch-h-is-floating-point-v.html</link>
      <description>Architecture documentation for the is_floating_point_v class in vec256_zarch.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-zarch-h-is-floating-point-v.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>is_unsigned_v Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-zarch-h-is-unsigned-v.html</link>
      <description>Architecture documentation for the is_unsigned_v class in vec256_zarch.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-zarch-h-is-unsigned-v.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>is_zarch_implemented_complex Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-zarch-h-is-zarch-implemented-complex.html</link>
      <description>Architecture documentation for the is_zarch_implemented_complex class in vec256_zarch.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-zarch-h-is-zarch-implemented-complex.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>is_zarch_implemented_quant Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-zarch-h-is-zarch-implemented-quant.html</link>
      <description>Architecture documentation for the is_zarch_implemented_quant class in vec256_zarch.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-zarch-h-is-zarch-implemented-quant.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>is_zarch_implemented Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-zarch-h-is-zarch-implemented.html</link>
      <description>Architecture documentation for the is_zarch_implemented class in vec256_zarch.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-zarch-h-is-zarch-implemented.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>isign_mask Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-zarch-h-isign-mask.html</link>
      <description>Architecture documentation for the isign_mask class in vec256_zarch.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-zarch-h-isign-mask.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>loadu_one_fourth Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-zarch-h-loadu-one-fourth.html</link>
      <description>Architecture documentation for the loadu_one_fourth class in vec256_zarch.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-zarch-h-loadu-one-fourth.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>loadu Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-zarch-h-loadu.html</link>
      <description>Architecture documentation for the loadu class in vec256_zarch.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-zarch-h-loadu.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>log10e_inv Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-zarch-h-log10e-inv.html</link>
      <description>Architecture documentation for the log10e_inv class in vec256_zarch.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-zarch-h-log10e-inv.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>log2e_inv Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-zarch-h-log2e-inv.html</link>
      <description>Architecture documentation for the log2e_inv class in vec256_zarch.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-zarch-h-log2e-inv.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>mapOrdinary Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-zarch-h-mapordinary.html</link>
      <description>Architecture documentation for the mapOrdinary class in vec256_zarch.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-zarch-h-mapordinary.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>mapSleef Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-zarch-h-mapsleef.html</link>
      <description>Architecture documentation for the mapSleef class in vec256_zarch.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-zarch-h-mapsleef.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>mask Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-zarch-h-mask.html</link>
      <description>Architecture documentation for the mask class in vec256_zarch.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-zarch-h-mask.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>maskForComplex Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-zarch-h-maskforcomplex.html</link>
      <description>Architecture documentation for the maskForComplex class in vec256_zarch.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-zarch-h-maskforcomplex.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
    </item>
    <item>
      <title>maximum Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-zarch-h-maximum.html</link>
      <description>Architecture documentation for the maximum class in vec256_zarch.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-zarch-h-maximum.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
    </item>
    <item>
      <title>mergee Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-zarch-h-mergee.html</link>
      <description>Architecture documentation for the mergee class in vec256_zarch.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-zarch-h-mergee.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
    </item>
    <item>
      <title>mergeo Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-zarch-h-mergeo.html</link>
      <description>Architecture documentation for the mergeo class in vec256_zarch.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-zarch-h-mergeo.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
    </item>
    <item>
      <title>minimum Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-zarch-h-minimum.html</link>
      <description>Architecture documentation for the minimum class in vec256_zarch.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-zarch-h-minimum.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
    </item>
    <item>
      <title>pack_type Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-zarch-h-pack-type.html</link>
      <description>Architecture documentation for the pack_type class in vec256_zarch.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-zarch-h-pack-type.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
    </item>
    <item>
      <title>pack Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-zarch-h-pack.html</link>
      <description>Architecture documentation for the pack class in vec256_zarch.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-zarch-h-pack.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
    </item>
    <item>
      <title>pi_half Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-zarch-h-pi-half.html</link>
      <description>Architecture documentation for the pi_half class in vec256_zarch.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-zarch-h-pi-half.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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    <item>
      <title>real_mask Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-zarch-h-real-mask.html</link>
      <description>Architecture documentation for the real_mask class in vec256_zarch.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-zarch-h-real-mask.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
    </item>
    <item>
      <title>real_neg Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-zarch-h-real-neg.html</link>
      <description>Architecture documentation for the real_neg class in vec256_zarch.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-zarch-h-real-neg.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
    </item>
    <item>
      <title>rsign_mask Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-zarch-h-rsign-mask.html</link>
      <description>Architecture documentation for the rsign_mask class in vec256_zarch.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-zarch-h-rsign-mask.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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    <item>
      <title>store Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-zarch-h-store.html</link>
      <description>Architecture documentation for the store class in vec256_zarch.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-zarch-h-store.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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    <item>
      <title>swapped Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-zarch-h-swapped.html</link>
      <description>Architecture documentation for the swapped class in vec256_zarch.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-zarch-h-swapped.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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    <item>
      <title>to_vec_float_helper Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-zarch-h-to-vec-float-helper.html</link>
      <description>Architecture documentation for the to_vec_float_helper class in vec256_zarch.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-zarch-h-to-vec-float-helper.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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    <item>
      <title>to_vec_uint8_helper Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-zarch-h-to-vec-uint8-helper.html</link>
      <description>Architecture documentation for the to_vec_uint8_helper class in vec256_zarch.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-zarch-h-to-vec-uint8-helper.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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    <item>
      <title>Type Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-zarch-h-type.html</link>
      <description>Architecture documentation for the Type class in vec256_zarch.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-zarch-h-type.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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    <item>
      <title>unpack_type Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-zarch-h-unpack-type.html</link>
      <description>Architecture documentation for the unpack_type class in vec256_zarch.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-zarch-h-unpack-type.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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    <item>
      <title>unpack Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-zarch-h-unpack.html</link>
      <description>Architecture documentation for the unpack class in vec256_zarch.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-zarch-h-unpack.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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    <item>
      <title>VecBinaryType Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-zarch-h-vecbinarytype.html</link>
      <description>Architecture documentation for the VecBinaryType class in vec256_zarch.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-zarch-h-vecbinarytype.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>VecInnerType Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-zarch-h-vecinnertype.html</link>
      <description>Architecture documentation for the VecInnerType class in vec256_zarch.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-zarch-h-vecinnertype.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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    <item>
      <title>VECTOR_WIDTH Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-zarch-h-vector-width.html</link>
      <description>Architecture documentation for the VECTOR_WIDTH class in vec256_zarch.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-zarch-h-vector-width.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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    <item>
      <title>zero_mask Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec256-zarch-h-zero-mask.html</link>
      <description>Architecture documentation for the zero_mask class in vec256_zarch.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec256-zarch-h-zero-mask.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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    <item>
      <title>arange Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec512-bfloat16-h-arange.html</link>
      <description>Architecture documentation for the arange class in vec512_bfloat16.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec512-bfloat16-h-arange.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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    <item>
      <title>binary_compare Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec512-bfloat16-h-binary-compare.html</link>
      <description>Architecture documentation for the binary_compare class in vec512_bfloat16.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec512-bfloat16-h-binary-compare.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>binary_op_as_fp32 Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec512-bfloat16-h-binary-op-as-fp32.html</link>
      <description>Architecture documentation for the binary_op_as_fp32 class in vec512_bfloat16.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec512-bfloat16-h-binary-op-as-fp32.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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    <item>
      <title>clamp_max Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec512-bfloat16-h-clamp-max.html</link>
      <description>Architecture documentation for the clamp_max class in vec512_bfloat16.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec512-bfloat16-h-clamp-max.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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    <item>
      <title>clamp_min Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec512-bfloat16-h-clamp-min.html</link>
      <description>Architecture documentation for the clamp_min class in vec512_bfloat16.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec512-bfloat16-h-clamp-min.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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    <item>
      <title>clamp Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec512-bfloat16-h-clamp.html</link>
      <description>Architecture documentation for the clamp class in vec512_bfloat16.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec512-bfloat16-h-clamp.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>convert Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec512-bfloat16-h-convert.html</link>
      <description>Architecture documentation for the convert class in vec512_bfloat16.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec512-bfloat16-h-convert.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>cvt_from_fp32 Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec512-bfloat16-h-cvt-from-fp32.html</link>
      <description>Architecture documentation for the cvt_from_fp32 class in vec512_bfloat16.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec512-bfloat16-h-cvt-from-fp32.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>cvt_to_fp32 Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec512-bfloat16-h-cvt-to-fp32.html</link>
      <description>Architecture documentation for the cvt_to_fp32 class in vec512_bfloat16.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec512-bfloat16-h-cvt-to-fp32.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>fmadd Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec512-bfloat16-h-fmadd.html</link>
      <description>Architecture documentation for the fmadd class in vec512_bfloat16.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec512-bfloat16-h-fmadd.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>is_compare_op Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec512-bfloat16-h-is-compare-op.html</link>
      <description>Architecture documentation for the is_compare_op class in vec512_bfloat16.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec512-bfloat16-h-is-compare-op.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>is_reduced_floating_point_v Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec512-bfloat16-h-is-reduced-floating-point-v.html</link>
      <description>Architecture documentation for the is_reduced_floating_point_v class in vec512_bfloat16.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec512-bfloat16-h-is-reduced-floating-point-v.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>is_vec_specialized_for Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec512-bfloat16-h-is-vec-specialized-for.html</link>
      <description>Architecture documentation for the is_vec_specialized_for class in vec512_bfloat16.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec512-bfloat16-h-is-vec-specialized-for.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>mask Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec512-bfloat16-h-mask.html</link>
      <description>Architecture documentation for the mask class in vec512_bfloat16.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec512-bfloat16-h-mask.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>maximum Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec512-bfloat16-h-maximum.html</link>
      <description>Architecture documentation for the maximum class in vec512_bfloat16.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec512-bfloat16-h-maximum.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>minimum Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec512-bfloat16-h-minimum.html</link>
      <description>Architecture documentation for the minimum class in vec512_bfloat16.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec512-bfloat16-h-minimum.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>transpose_mxn Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec512-bfloat16-h-transpose-mxn.html</link>
      <description>Architecture documentation for the transpose_mxn class in vec512_bfloat16.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec512-bfloat16-h-transpose-mxn.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>Vectorized16 Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec512-bfloat16-h-vectorized16.html</link>
      <description>Architecture documentation for the Vectorized16 class in vec512_bfloat16.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec512-bfloat16-h-vectorized16.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>arange Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec512-complex-double-h-arange.html</link>
      <description>Architecture documentation for the arange class in vec512_complex_double.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec512-complex-double-h-arange.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>is_vec_specialized_for Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec512-complex-double-h-is-vec-specialized-for.html</link>
      <description>Architecture documentation for the is_vec_specialized_for class in vec512_complex_double.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec512-complex-double-h-is-vec-specialized-for.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>mask Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec512-complex-double-h-mask.html</link>
      <description>Architecture documentation for the mask class in vec512_complex_double.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec512-complex-double-h-mask.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>maximum Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec512-complex-double-h-maximum.html</link>
      <description>Architecture documentation for the maximum class in vec512_complex_double.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec512-complex-double-h-maximum.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>minimum Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec512-complex-double-h-minimum.html</link>
      <description>Architecture documentation for the minimum class in vec512_complex_double.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec512-complex-double-h-minimum.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>Vectorized Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec512-complex-double-h-vectorized.html</link>
      <description>Architecture documentation for the Vectorized class in vec512_complex_double.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec512-complex-double-h-vectorized.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>arange Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec512-complex-float-h-arange.html</link>
      <description>Architecture documentation for the arange class in vec512_complex_float.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec512-complex-float-h-arange.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>is_vec_specialized_for Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec512-complex-float-h-is-vec-specialized-for.html</link>
      <description>Architecture documentation for the is_vec_specialized_for class in vec512_complex_float.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec512-complex-float-h-is-vec-specialized-for.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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    <item>
      <title>mask Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec512-complex-float-h-mask.html</link>
      <description>Architecture documentation for the mask class in vec512_complex_float.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec512-complex-float-h-mask.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
    </item>
    <item>
      <title>maximum Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec512-complex-float-h-maximum.html</link>
      <description>Architecture documentation for the maximum class in vec512_complex_float.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec512-complex-float-h-maximum.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
    </item>
    <item>
      <title>minimum Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec512-complex-float-h-minimum.html</link>
      <description>Architecture documentation for the minimum class in vec512_complex_float.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec512-complex-float-h-minimum.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
    </item>
    <item>
      <title>Vectorized Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec512-complex-float-h-vectorized.html</link>
      <description>Architecture documentation for the Vectorized class in vec512_complex_float.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec512-complex-float-h-vectorized.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
    </item>
    <item>
      <title>is_reduced_floating_point_v Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec512-convert-h-is-reduced-floating-point-v.html</link>
      <description>Architecture documentation for the is_reduced_floating_point_v class in vec512_convert.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec512-convert-h-is-reduced-floating-point-v.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
    </item>
    <item>
      <title>is_same_v Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec512-convert-h-is-same-v.html</link>
      <description>Architecture documentation for the is_same_v class in vec512_convert.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec512-convert-h-is-same-v.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
    </item>
    <item>
      <title>src_n Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec512-convert-h-src-n.html</link>
      <description>Architecture documentation for the src_n class in vec512_convert.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec512-convert-h-src-n.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
    </item>
    <item>
      <title>src Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec512-convert-h-src.html</link>
      <description>Architecture documentation for the src class in vec512_convert.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec512-convert-h-src.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
    </item>
    <item>
      <title>arange Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec512-double-h-arange.html</link>
      <description>Architecture documentation for the arange class in vec512_double.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec512-double-h-arange.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
    </item>
    <item>
      <title>clamp_max Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec512-double-h-clamp-max.html</link>
      <description>Architecture documentation for the clamp_max class in vec512_double.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec512-double-h-clamp-max.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
    </item>
    <item>
      <title>clamp_min Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec512-double-h-clamp-min.html</link>
      <description>Architecture documentation for the clamp_min class in vec512_double.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec512-double-h-clamp-min.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
    </item>
    <item>
      <title>clamp Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec512-double-h-clamp.html</link>
      <description>Architecture documentation for the clamp class in vec512_double.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec512-double-h-clamp.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
    </item>
    <item>
      <title>convert Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec512-double-h-convert.html</link>
      <description>Architecture documentation for the convert class in vec512_double.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec512-double-h-convert.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
    </item>
    <item>
      <title>fmadd Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec512-double-h-fmadd.html</link>
      <description>Architecture documentation for the fmadd class in vec512_double.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec512-double-h-fmadd.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
    </item>
    <item>
      <title>fmsub Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec512-double-h-fmsub.html</link>
      <description>Architecture documentation for the fmsub class in vec512_double.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec512-double-h-fmsub.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
    </item>
    <item>
      <title>fnmadd Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec512-double-h-fnmadd.html</link>
      <description>Architecture documentation for the fnmadd class in vec512_double.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec512-double-h-fnmadd.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
    </item>
    <item>
      <title>fnmsub Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec512-double-h-fnmsub.html</link>
      <description>Architecture documentation for the fnmsub class in vec512_double.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec512-double-h-fnmsub.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
    </item>
    <item>
      <title>is_vec_specialized_for Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec512-double-h-is-vec-specialized-for.html</link>
      <description>Architecture documentation for the is_vec_specialized_for class in vec512_double.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec512-double-h-is-vec-specialized-for.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
    </item>
    <item>
      <title>mask Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec512-double-h-mask.html</link>
      <description>Architecture documentation for the mask class in vec512_double.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec512-double-h-mask.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
    </item>
    <item>
      <title>maximum Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec512-double-h-maximum.html</link>
      <description>Architecture documentation for the maximum class in vec512_double.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec512-double-h-maximum.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
    </item>
    <item>
      <title>minimum Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec512-double-h-minimum.html</link>
      <description>Architecture documentation for the minimum class in vec512_double.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec512-double-h-minimum.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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    <item>
      <title>Vectorized Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec512-double-h-vectorized.html</link>
      <description>Architecture documentation for the Vectorized class in vec512_double.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec512-double-h-vectorized.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
    </item>
    <item>
      <title>arange Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec512-float-h-arange.html</link>
      <description>Architecture documentation for the arange class in vec512_float.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec512-float-h-arange.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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    <item>
      <title>clamp_max Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec512-float-h-clamp-max.html</link>
      <description>Architecture documentation for the clamp_max class in vec512_float.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec512-float-h-clamp-max.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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    <item>
      <title>clamp_min Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec512-float-h-clamp-min.html</link>
      <description>Architecture documentation for the clamp_min class in vec512_float.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec512-float-h-clamp-min.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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    <item>
      <title>clamp Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec512-float-h-clamp.html</link>
      <description>Architecture documentation for the clamp class in vec512_float.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec512-float-h-clamp.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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    <item>
      <title>convert Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec512-float-h-convert.html</link>
      <description>Architecture documentation for the convert class in vec512_float.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec512-float-h-convert.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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    <item>
      <title>fmadd Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec512-float-h-fmadd.html</link>
      <description>Architecture documentation for the fmadd class in vec512_float.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec512-float-h-fmadd.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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    <item>
      <title>fmsub Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec512-float-h-fmsub.html</link>
      <description>Architecture documentation for the fmsub class in vec512_float.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec512-float-h-fmsub.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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    <item>
      <title>fnmadd Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec512-float-h-fnmadd.html</link>
      <description>Architecture documentation for the fnmadd class in vec512_float.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec512-float-h-fnmadd.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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    <item>
      <title>fnmsub Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec512-float-h-fnmsub.html</link>
      <description>Architecture documentation for the fnmsub class in vec512_float.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec512-float-h-fnmsub.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>is_vec_specialized_for Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec512-float-h-is-vec-specialized-for.html</link>
      <description>Architecture documentation for the is_vec_specialized_for class in vec512_float.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec512-float-h-is-vec-specialized-for.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>mask Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec512-float-h-mask.html</link>
      <description>Architecture documentation for the mask class in vec512_float.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec512-float-h-mask.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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    <item>
      <title>maximum Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec512-float-h-maximum.html</link>
      <description>Architecture documentation for the maximum class in vec512_float.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec512-float-h-maximum.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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    <item>
      <title>minimum Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec512-float-h-minimum.html</link>
      <description>Architecture documentation for the minimum class in vec512_float.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec512-float-h-minimum.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>transpose_mxn Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec512-float-h-transpose-mxn.html</link>
      <description>Architecture documentation for the transpose_mxn class in vec512_float.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec512-float-h-transpose-mxn.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>Vectorized Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec512-float-h-vectorized.html</link>
      <description>Architecture documentation for the Vectorized class in vec512_float.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec512-float-h-vectorized.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>binary_compare Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec512-float8-h-binary-compare.html</link>
      <description>Architecture documentation for the binary_compare class in vec512_float8.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec512-float8-h-binary-compare.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>is_same_v Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec512-float8-h-is-same-v.html</link>
      <description>Architecture documentation for the is_same_v class in vec512_float8.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec512-float8-h-is-same-v.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>Vectorizedf8 Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec512-float8-h-vectorizedf8.html</link>
      <description>Architecture documentation for the Vectorizedf8 class in vec512_float8.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec512-float8-h-vectorizedf8.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>cast Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec512-h-cast.html</link>
      <description>Architecture documentation for the cast class in vec512.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec512-h-cast.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>convert_to_fp_of_same_size Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec512-h-convert-to-fp-of-same-size.html</link>
      <description>Architecture documentation for the convert_to_fp_of_same_size class in vec512.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec512-h-convert-to-fp-of-same-size.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>convert_to_int_of_same_size Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec512-h-convert-to-int-of-same-size.html</link>
      <description>Architecture documentation for the convert_to_int_of_same_size class in vec512.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec512-h-convert-to-int-of-same-size.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>deinterleave2 Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec512-h-deinterleave2.html</link>
      <description>Architecture documentation for the deinterleave2 class in vec512.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec512-h-deinterleave2.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>flip Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec512-h-flip.html</link>
      <description>Architecture documentation for the flip class in vec512.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec512-h-flip.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>interleave2 Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec512-h-interleave2.html</link>
      <description>Architecture documentation for the interleave2 class in vec512.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec512-h-interleave2.html</guid>
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      <title>scale Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec512-h-scale.html</link>
      <description>Architecture documentation for the scale class in vec512.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec512-h-scale.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>stream Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec512-h-stream.html</link>
      <description>Architecture documentation for the stream class in vec512.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec512-h-stream.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>arange Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec512-int-h-arange.html</link>
      <description>Architecture documentation for the arange class in vec512_int.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec512-int-h-arange.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>clamp_max Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec512-int-h-clamp-max.html</link>
      <description>Architecture documentation for the clamp_max class in vec512_int.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec512-int-h-clamp-max.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>clamp_min Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec512-int-h-clamp-min.html</link>
      <description>Architecture documentation for the clamp_min class in vec512_int.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec512-int-h-clamp-min.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>clamp Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec512-int-h-clamp.html</link>
      <description>Architecture documentation for the clamp class in vec512_int.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec512-int-h-clamp.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>convert_to_int32 Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec512-int-h-convert-to-int32.html</link>
      <description>Architecture documentation for the convert_to_int32 class in vec512_int.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec512-int-h-convert-to-int32.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>convert Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec512-int-h-convert.html</link>
      <description>Architecture documentation for the convert class in vec512_int.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec512-int-h-convert.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>int_elementwise_binary_512 Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec512-int-h-int-elementwise-binary-512.html</link>
      <description>Architecture documentation for the int_elementwise_binary_512 class in vec512_int.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec512-int-h-int-elementwise-binary-512.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>is_same_v Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec512-int-h-is-same-v.html</link>
      <description>Architecture documentation for the is_same_v class in vec512_int.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec512-int-h-is-same-v.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>is_vec_specialized_for Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec512-int-h-is-vec-specialized-for.html</link>
      <description>Architecture documentation for the is_vec_specialized_for class in vec512_int.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec512-int-h-is-vec-specialized-for.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>left_shift Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec512-int-h-left-shift.html</link>
      <description>Architecture documentation for the left_shift class in vec512_int.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec512-int-h-left-shift.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>mask Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec512-int-h-mask.html</link>
      <description>Architecture documentation for the mask class in vec512_int.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec512-int-h-mask.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>maximum Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec512-int-h-maximum.html</link>
      <description>Architecture documentation for the maximum class in vec512_int.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec512-int-h-maximum.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>minimum Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec512-int-h-minimum.html</link>
      <description>Architecture documentation for the minimum class in vec512_int.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec512-int-h-minimum.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>Vectorized8 Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec512-int-h-vectorized8.html</link>
      <description>Architecture documentation for the Vectorized8 class in vec512_int.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec512-int-h-vectorized8.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>Vectorizedi Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec512-int-h-vectorizedi.html</link>
      <description>Architecture documentation for the Vectorizedi class in vec512_int.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec512-int-h-vectorizedi.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>all_masked Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec512-mask-h-all-masked.html</link>
      <description>Architecture documentation for the all_masked class in vec512_mask.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec512-mask-h-all-masked.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>all_zero Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec512-mask-h-all-zero.html</link>
      <description>Architecture documentation for the all_zero class in vec512_mask.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec512-mask-h-all-zero.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>dst_n Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec512-mask-h-dst-n.html</link>
      <description>Architecture documentation for the dst_n class in vec512_mask.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec512-mask-h-dst-n.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>is_masked Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec512-mask-h-is-masked.html</link>
      <description>Architecture documentation for the is_masked class in vec512_mask.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec512-mask-h-is-masked.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>is_same_v Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec512-mask-h-is-same-v.html</link>
      <description>Architecture documentation for the is_same_v class in vec512_mask.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec512-mask-h-is-same-v.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>vec_mask Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec512-mask-h-vec-mask.html</link>
      <description>Architecture documentation for the vec_mask class in vec512_mask.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec512-mask-h-vec-mask.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>convert_float_to_int8 Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec512-qint-h-convert-float-to-int8.html</link>
      <description>Architecture documentation for the convert_float_to_int8 class in vec512_qint.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec512-qint-h-convert-float-to-int8.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>is_same_v Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec512-qint-h-is-same-v.html</link>
      <description>Architecture documentation for the is_same_v class in vec512_qint.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec512-qint-h-is-same-v.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>is_vec_specialized_for Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec512-qint-h-is-vec-specialized-for.html</link>
      <description>Architecture documentation for the is_vec_specialized_for class in vec512_qint.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec512-qint-h-is-vec-specialized-for.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>maximum Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec512-qint-h-maximum.html</link>
      <description>Architecture documentation for the maximum class in vec512_qint.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec512-qint-h-maximum.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>pack_saturate_and_clamp Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec512-qint-h-pack-saturate-and-clamp.html</link>
      <description>Architecture documentation for the pack_saturate_and_clamp class in vec512_qint.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec512-qint-h-pack-saturate-and-clamp.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>RequantizeAvx512 Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec512-qint-h-requantizeavx512.html</link>
      <description>Architecture documentation for the RequantizeAvx512 class in vec512_qint.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec512-qint-h-requantizeavx512.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>size_ Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec512-qint-h-size.html</link>
      <description>Architecture documentation for the size_ class in vec512_qint.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec512-qint-h-size.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>Vectorized Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec512-qint-h-vectorized.html</link>
      <description>Architecture documentation for the Vectorized class in vec512_qint.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec512-qint-h-vectorized.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>Vectorizedqi Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec512-qint-h-vectorizedqi.html</link>
      <description>Architecture documentation for the Vectorizedqi class in vec512_qint.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec512-qint-h-vectorizedqi.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>void Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vec512-qint-h-void.html</link>
      <description>Architecture documentation for the void class in vec512_qint.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vec512-qint-h-void.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>TORCH_API Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vitals-h-torch-api.html</link>
      <description>Architecture documentation for the TORCH_API class in Vitals.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vitals-h-torch-api.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>write Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vitals-h-write.html</link>
      <description>Architecture documentation for the write class in Vitals.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vitals-h-write.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>unsupportedRandomOp_ Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vmapmoderegistrations-cpp-unsupportedrandomop-2.html</link>
      <description>Architecture documentation for the unsupportedRandomOp_ class in VmapModeRegistrations.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vmapmoderegistrations-cpp-unsupportedrandomop-2.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>unsupportedRandomOp Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vmapmoderegistrations-cpp-unsupportedrandomop.html</link>
      <description>Architecture documentation for the unsupportedRandomOp class in VmapModeRegistrations.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vmapmoderegistrations-cpp-unsupportedrandomop.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>vrsqrt Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vml-h-vrsqrt.html</link>
      <description>Architecture documentation for the vrsqrt class in vml.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vml-h-vrsqrt.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>col2vol Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vol2col-h-col2vol.html</link>
      <description>Architecture documentation for the col2vol class in vol2col.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vol2col-h-col2vol.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>vol2col Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vol2col-h-vol2col.html</link>
      <description>Architecture documentation for the vol2col class in vol2col.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vol2col-h-vol2col.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>vec_max_nan Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vsx-helpers-h-vec-max-nan.html</link>
      <description>Architecture documentation for the vec_max_nan class in vsx_helpers.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vsx-helpers-h-vec-max-nan.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>vec_min_nan Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vsx-helpers-h-vec-min-nan.html</link>
      <description>Architecture documentation for the vec_min_nan class in vsx_helpers.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vsx-helpers-h-vec-min-nan.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>VsxShiftLeftArith Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vsx-helpers-h-vsxshiftleftarith.html</link>
      <description>Architecture documentation for the VsxShiftLeftArith class in vsx_helpers.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vsx-helpers-h-vsxshiftleftarith.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>VsxShiftRightArith Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vsx-helpers-h-vsxshiftrightarith.html</link>
      <description>Architecture documentation for the VsxShiftRightArith class in vsx_helpers.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vsx-helpers-h-vsxshiftrightarith.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>Addmm Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vulkan-api-test-cpp-addmm.html</link>
      <description>Architecture documentation for the Addmm class in vulkan_api_test.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vulkan-api-test-cpp-addmm.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>BaseOp Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vulkan-api-test-cpp-baseop.html</link>
      <description>Architecture documentation for the BaseOp class in vulkan_api_test.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vulkan-api-test-cpp-baseop.html</guid>
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      <title>callOpByHandle Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vulkan-api-test-cpp-callopbyhandle.html</link>
      <description>Architecture documentation for the callOpByHandle class in vulkan_api_test.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vulkan-api-test-cpp-callopbyhandle.html</guid>
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      <title>callOpByName Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vulkan-api-test-cpp-callopbyname.html</link>
      <description>Architecture documentation for the callOpByName class in vulkan_api_test.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vulkan-api-test-cpp-callopbyname.html</guid>
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      <title>Conv2d Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vulkan-api-test-cpp-conv2d.html</link>
      <description>Architecture documentation for the Conv2d class in vulkan_api_test.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vulkan-api-test-cpp-conv2d.html</guid>
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      <title>Hardtanh_ Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vulkan-api-test-cpp-hardtanh.html</link>
      <description>Architecture documentation for the Hardtanh_ class in vulkan_api_test.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vulkan-api-test-cpp-hardtanh.html</guid>
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      <title>makeStack Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vulkan-api-test-cpp-makestack.html</link>
      <description>Architecture documentation for the makeStack class in vulkan_api_test.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vulkan-api-test-cpp-makestack.html</guid>
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      <title>Mean Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vulkan-api-test-cpp-mean.html</link>
      <description>Architecture documentation for the Mean class in vulkan_api_test.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vulkan-api-test-cpp-mean.html</guid>
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      <title>MobileNetV2 Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vulkan-api-test-cpp-mobilenetv2.html</link>
      <description>Architecture documentation for the MobileNetV2 class in vulkan_api_test.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vulkan-api-test-cpp-mobilenetv2.html</guid>
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      <title>OpsList Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vulkan-api-test-cpp-opslist.html</link>
      <description>Architecture documentation for the OpsList class in vulkan_api_test.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vulkan-api-test-cpp-opslist.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>VulkanAPITest Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vulkan-api-test-cpp-vulkanapitest.html</link>
      <description>Architecture documentation for the VulkanAPITest class in vulkan_api_test.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vulkan-api-test-cpp-vulkanapitest.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>callOpByHandle Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vulkan-quantized-api-test-cpp-callopbyhandle.html</link>
      <description>Architecture documentation for the callOpByHandle class in vulkan_quantized_api_test.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vulkan-quantized-api-test-cpp-callopbyhandle.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>callOpByName Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vulkan-quantized-api-test-cpp-callopbyname.html</link>
      <description>Architecture documentation for the callOpByName class in vulkan_quantized_api_test.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vulkan-quantized-api-test-cpp-callopbyname.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>makeStack Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vulkan-quantized-api-test-cpp-makestack.html</link>
      <description>Architecture documentation for the makeStack class in vulkan_quantized_api_test.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vulkan-quantized-api-test-cpp-makestack.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>VulkanAPITest Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vulkan-quantized-api-test-cpp-vulkanapitest.html</link>
      <description>Architecture documentation for the VulkanAPITest class in vulkan_quantized_api_test.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vulkan-quantized-api-test-cpp-vulkanapitest.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>VulkanOpaqueTensorImpl Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vulkanopaquetensorimpl-h-vulkanopaquetensorimpl.html</link>
      <description>Architecture documentation for the VulkanOpaqueTensorImpl class in VulkanOpaqueTensorImpl.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vulkanopaquetensorimpl-h-vulkanopaquetensorimpl.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>VulkanPackedContext Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-vulkanpackedcontext-h-vulkanpackedcontext.html</link>
      <description>Architecture documentation for the VulkanPackedContext class in VulkanPackedContext.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-vulkanpackedcontext-h-vulkanpackedcontext.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>Operand_ Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-warp-iterator-from-smem-h-operand.html</link>
      <description>Architecture documentation for the Operand_ class in warp_iterator_from_smem.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-warp-iterator-from-smem-h-operand.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>WarpIteratorFromSmem Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-warp-iterator-from-smem-h-warpiteratorfromsmem.html</link>
      <description>Architecture documentation for the WarpIteratorFromSmem class in warp_iterator_from_smem.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-warp-iterator-from-smem-h-warpiteratorfromsmem.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>apply_norm_per_row Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-weightnormkernel-cpp-apply-norm-per-row.html</link>
      <description>Architecture documentation for the apply_norm_per_row class in WeightNormKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-weightnormkernel-cpp-apply-norm-per-row.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>apply_per_row_backward Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-weightnormkernel-cpp-apply-per-row-backward.html</link>
      <description>Architecture documentation for the apply_per_row_backward class in WeightNormKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-weightnormkernel-cpp-apply-per-row-backward.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>is_reduced_floating_point_v Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-weightnormkernel-cpp-is-reduced-floating-point-v.html</link>
      <description>Architecture documentation for the is_reduced_floating_point_v class in WeightNormKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-weightnormkernel-cpp-is-reduced-floating-point-v.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>sum_norm_per_row Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-weightnormkernel-cpp-sum-norm-per-row.html</link>
      <description>Architecture documentation for the sum_norm_per_row class in WeightNormKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-weightnormkernel-cpp-sum-norm-per-row.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>sum_product_per_row Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-weightnormkernel-cpp-sum-product-per-row.html</link>
      <description>Architecture documentation for the sum_product_per_row class in WeightNormKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-weightnormkernel-cpp-sum-product-per-row.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>weight_norm_backward_first_dim_kernel Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-weightnormkernel-cpp-weight-norm-backward-first-dim-kernel.html</link>
      <description>Architecture documentation for the weight_norm_backward_first_dim_kernel class in WeightNormKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-weightnormkernel-cpp-weight-norm-backward-first-dim-kernel.html</guid>
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      <title>weight_norm_backward_last_dim_kernel Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-weightnormkernel-cpp-weight-norm-backward-last-dim-kernel.html</link>
      <description>Architecture documentation for the weight_norm_backward_last_dim_kernel class in WeightNormKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-weightnormkernel-cpp-weight-norm-backward-last-dim-kernel.html</guid>
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      <title>weight_norm_first_dim_kernel Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-weightnormkernel-cpp-weight-norm-first-dim-kernel.html</link>
      <description>Architecture documentation for the weight_norm_first_dim_kernel class in WeightNormKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-weightnormkernel-cpp-weight-norm-first-dim-kernel.html</guid>
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      <title>weight_norm_last_dim_kernel Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-weightnormkernel-cpp-weight-norm-last-dim-kernel.html</link>
      <description>Architecture documentation for the weight_norm_last_dim_kernel class in WeightNormKernel.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-weightnormkernel-cpp-weight-norm-last-dim-kernel.html</guid>
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      <title>TensorBase Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-weightnormkernel-h-tensorbase.html</link>
      <description>Architecture documentation for the TensorBase class in WeightNormKernel.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-weightnormkernel-h-tensorbase.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>maybe_wrap_dims Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-wrapdimutils-h-maybe-wrap-dims.html</link>
      <description>Architecture documentation for the maybe_wrap_dims class in WrapDimUtils.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-wrapdimutils-h-maybe-wrap-dims.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>args Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-wrapfunctionintofunctor-h-args.html</link>
      <description>Architecture documentation for the args class in WrapFunctionIntoFunctor.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-wrapfunctionintofunctor-h-args.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>FuncPtr Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-wrapfunctionintofunctor-h-funcptr.html</link>
      <description>Architecture documentation for the FuncPtr class in WrapFunctionIntoFunctor.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-wrapfunctionintofunctor-h-funcptr.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>value Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-wrapfunctionintofunctor-h-value.html</link>
      <description>Architecture documentation for the value class in WrapFunctionIntoFunctor.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-wrapfunctionintofunctor-h-value.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>WrapFunctionIntoFunctor_ Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-wrapfunctionintofunctor-h-wrapfunctionintofunctor.html</link>
      <description>Architecture documentation for the WrapFunctionIntoFunctor_ class in WrapFunctionIntoFunctor.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-wrapfunctionintofunctor-h-wrapfunctionintofunctor.html</guid>
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      <title>FuncType Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-wrapfunctionintoruntimefunctor-h-functype.html</link>
      <description>Architecture documentation for the FuncType class in WrapFunctionIntoRuntimeFunctor.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-wrapfunctionintoruntimefunctor-h-functype.html</guid>
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      <title>WrapFunctionIntoRuntimeFunctor_ Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-wrapfunctionintoruntimefunctor-h-wrapfunctionintoruntimefunctor.html</link>
      <description>Architecture documentation for the WrapFunctionIntoRuntimeFunctor_ class in WrapFunctionIntoRuntimeFunctor.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-wrapfunctionintoruntimefunctor-h-wrapfunctionintoruntimefunctor.html</guid>
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      <title>convert_conv_weights_to_channel_last_tensor Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-xnnpackutils-cpp-convert-conv-weights-to-channel-last-tensor.html</link>
      <description>Architecture documentation for the convert_conv_weights_to_channel_last_tensor class in XnnpackUtils.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-xnnpackutils-cpp-convert-conv-weights-to-channel-last-tensor.html</guid>
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      <title>q8_copy_int8_weight_and_add_offset Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-xnnpackutils-cpp-q8-copy-int8-weight-and-add-offset.html</link>
      <description>Architecture documentation for the q8_copy_int8_weight_and_add_offset class in XnnpackUtils.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-xnnpackutils-cpp-q8-copy-int8-weight-and-add-offset.html</guid>
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      <title>kSpatialDim Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-xnnpackutils-h-kspatialdim.html</link>
      <description>Architecture documentation for the kSpatialDim class in XnnpackUtils.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-xnnpackutils-h-kspatialdim.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-xnnpackutils-h-q8-copy-int8-weight-and-add-offset.html</link>
      <description>Architecture documentation for the q8_copy_int8_weight_and_add_offset class in XnnpackUtils.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-xnnpackutils-h-q8-copy-int8-weight-and-add-offset.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-xpu-caching-host-allocator-test-cpp-userdatadeleter.html</link>
      <description>Architecture documentation for the UserDataDeleter class in xpu_caching_host_allocator_test.cpp from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-xpu-caching-host-allocator-test-cpp-userdatadeleter.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-xpuscaledblas-h-convert-int-to-enum.html</link>
      <description>Architecture documentation for the convert_int_to_enum class in XPUScaledBlas.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-xpuscaledblas-h-convert-int-to-enum.html</guid>
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      <title>ZipMicrokernelTester Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-zip-microkernel-tester-h-zipmicrokerneltester.html</link>
      <description>Architecture documentation for the ZipMicrokernelTester class in zip-microkernel-tester.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-zip-microkernel-tester-h-zipmicrokerneltester.html</guid>
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      <title>angle_impl Class — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/class-zmath-h-angle-impl.html</link>
      <description>Architecture documentation for the angle_impl class in zmath.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-zmath-h-angle-impl.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-zmath-h-ceil-impl.html</link>
      <description>Architecture documentation for the ceil_impl class in zmath.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-zmath-h-ceil-impl.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-zmath-h-conj-impl.html</link>
      <description>Architecture documentation for the conj_impl class in zmath.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-zmath-h-conj-impl.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-zmath-h-floor-impl.html</link>
      <description>Architecture documentation for the floor_impl class in zmath.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-zmath-h-floor-impl.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-zmath-h-imag-impl.html</link>
      <description>Architecture documentation for the imag_impl class in zmath.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-zmath-h-imag-impl.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-zmath-h-max-impl.html</link>
      <description>Architecture documentation for the max_impl class in zmath.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-zmath-h-max-impl.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-zmath-h-min-impl.html</link>
      <description>Architecture documentation for the min_impl class in zmath.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-zmath-h-min-impl.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-zmath-h-real-impl.html</link>
      <description>Architecture documentation for the real_impl class in zmath.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-zmath-h-real-impl.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-zmath-h-round-impl.html</link>
      <description>Architecture documentation for the round_impl class in zmath.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-zmath-h-round-impl.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-zmath-h-sgn-impl.html</link>
      <description>Architecture documentation for the sgn_impl class in zmath.h from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/class-zmath-h-sgn-impl.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/class-zmath-h-trunc-impl.html</link>
      <description>Architecture documentation for the trunc_impl class in zmath.h from the pytorch codebase.</description>
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      <title>benchmarks/dynamo/ci_expected_accuracy/rocm/ — pytorch Directory Structure</title>
      <link>https://repos.supermodeltools.com/pytorch/dir-benchmarks-dynamo-ci-expected-accuracy-rocm.html</link>
      <description>Directory listing for benchmarks/dynamo/ci_expected_accuracy/rocm/ in the pytorch codebase. Contains 0 files and 0 subdirectories.</description>
      <guid>https://repos.supermodeltools.com/pytorch/dir-benchmarks-dynamo-ci-expected-accuracy-rocm.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>benchmarks/dynamo/ci_expected_accuracy/ — pytorch Directory Structure</title>
      <link>https://repos.supermodeltools.com/pytorch/dir-benchmarks-dynamo-ci-expected-accuracy.html</link>
      <description>Directory listing for benchmarks/dynamo/ci_expected_accuracy/ in the pytorch codebase. Contains 0 files and 0 subdirectories.</description>
      <guid>https://repos.supermodeltools.com/pytorch/dir-benchmarks-dynamo-ci-expected-accuracy.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>benchmarks/dynamo/genai_layers/ — pytorch Directory Structure</title>
      <link>https://repos.supermodeltools.com/pytorch/dir-benchmarks-dynamo-genai-layers.html</link>
      <description>Directory listing for benchmarks/dynamo/genai_layers/ in the pytorch codebase. Contains 0 files and 0 subdirectories.</description>
      <guid>https://repos.supermodeltools.com/pytorch/dir-benchmarks-dynamo-genai-layers.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>benchmarks/dynamo/microbenchmarks/operator_inp_logs/hf_train/ — pytorch Directory Structure</title>
      <link>https://repos.supermodeltools.com/pytorch/dir-benchmarks-dynamo-microbenchmarks-operator-inp-logs-hf-train.html</link>
      <description>Directory listing for benchmarks/dynamo/microbenchmarks/operator_inp_logs/hf_train/ in the pytorch codebase. Contains 0 files and 0 subdirectories.</description>
      <guid>https://repos.supermodeltools.com/pytorch/dir-benchmarks-dynamo-microbenchmarks-operator-inp-logs-hf-train.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>benchmarks/dynamo/microbenchmarks/operator_inp_logs/timm_train/ — pytorch Directory Structure</title>
      <link>https://repos.supermodeltools.com/pytorch/dir-benchmarks-dynamo-microbenchmarks-operator-inp-logs-timm-train.html</link>
      <description>Directory listing for benchmarks/dynamo/microbenchmarks/operator_inp_logs/timm_train/ in the pytorch codebase. Contains 0 files and 0 subdirectories.</description>
      <guid>https://repos.supermodeltools.com/pytorch/dir-benchmarks-dynamo-microbenchmarks-operator-inp-logs-timm-train.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>benchmarks/dynamo/microbenchmarks/operator_inp_logs/ — pytorch Directory Structure</title>
      <link>https://repos.supermodeltools.com/pytorch/dir-benchmarks-dynamo-microbenchmarks-operator-inp-logs.html</link>
      <description>Directory listing for benchmarks/dynamo/microbenchmarks/operator_inp_logs/ in the pytorch codebase. Contains 0 files and 0 subdirectories.</description>
      <guid>https://repos.supermodeltools.com/pytorch/dir-benchmarks-dynamo-microbenchmarks-operator-inp-logs.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>benchmarks/dynamo/microbenchmarks/ — pytorch Directory Structure</title>
      <link>https://repos.supermodeltools.com/pytorch/dir-benchmarks-dynamo-microbenchmarks.html</link>
      <description>Directory listing for benchmarks/dynamo/microbenchmarks/ in the pytorch codebase. Contains 0 files and 0 subdirectories.</description>
      <guid>https://repos.supermodeltools.com/pytorch/dir-benchmarks-dynamo-microbenchmarks.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>benchmarks/dynamo/ — pytorch Directory Structure</title>
      <link>https://repos.supermodeltools.com/pytorch/dir-benchmarks-dynamo.html</link>
      <description>Directory listing for benchmarks/dynamo/ in the pytorch codebase. Contains 0 files and 0 subdirectories.</description>
      <guid>https://repos.supermodeltools.com/pytorch/dir-benchmarks-dynamo.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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    <item>
      <title>benchmarks/ — pytorch Directory Structure</title>
      <link>https://repos.supermodeltools.com/pytorch/dir-benchmarks.html</link>
      <description>Directory listing for benchmarks/ in the pytorch codebase. Contains 0 files and 0 subdirectories.</description>
      <guid>https://repos.supermodeltools.com/pytorch/dir-benchmarks.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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    <item>
      <title>AndroidRuntime Domain — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/domain-androidruntime.html</link>
      <description>Mobile-specific JNI bridge and Java implementation for running PyTorch models on Android devices. Architectural overview of the AndroidRuntime domain in the pytorch codebase. Contains 9 source files.</description>
      <guid>https://repos.supermodeltools.com/pytorch/domain-androidruntime.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>CoreTensor Domain — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/domain-coretensor.html</link>
      <description>The ATen (A Tensor) library providing the fundamental tensor operations and dispatcher for multi-device support. Architectural overview of the CoreTensor domain in the pytorch codebase. Contains 7 source files.</description>
      <guid>https://repos.supermodeltools.com/pytorch/domain-coretensor.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>DynamoBenchmarks Domain — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/domain-dynamobenchmarks.html</link>
      <description>Python-based performance testing and benchmarking infrastructure for the TorchDynamo compiler and general model performance. Architectural overview of the DynamoBenchmarks domain in the pytorch codebase. Contains 14 source files.</description>
      <guid>https://repos.supermodeltools.com/pytorch/domain-dynamobenchmarks.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>HardwareBackends Domain — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/domain-hardwarebackends.html</link>
      <description>Specific implementations and hooks for various hardware accelerators including CUDA, ROCm, MPS, and Metal. Architectural overview of the HardwareBackends domain in the pytorch codebase. Contains 0 source files.</description>
      <guid>https://repos.supermodeltools.com/pytorch/domain-hardwarebackends.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>QuantizedKernels Domain — pytorch Architecture</title>
      <link>https://repos.supermodeltools.com/pytorch/domain-quantizedkernels.html</link>
      <description>Optimized low-precision operation kernels primarily using the QNNPACK and FBGEMM libraries for efficient CPU execution. Architectural overview of the QuantizedKernels domain in the pytorch codebase. Contains 73 source files.</description>
      <guid>https://repos.supermodeltools.com/pytorch/domain-quantizedkernels.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>generate_test_asset.cpp — pytorch Source File</title>
      <link>https://repos.supermodeltools.com/pytorch/file-android-pytorch-android-generate-test-asset-cpp.html</link>
      <description>Architecture documentation for generate_test_asset.cpp, a cpp file in the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/file-android-pytorch-android-generate-test-asset-cpp.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>generate_test_torchscripts.py — pytorch Source File</title>
      <link>https://repos.supermodeltools.com/pytorch/file-android-pytorch-android-generate-test-torchscripts-py.html</link>
      <description>Architecture documentation for generate_test_torchscripts.py, a python file in the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/file-android-pytorch-android-generate-test-torchscripts-py.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>pytorch_jni_common_test.cpp — pytorch Source File</title>
      <link>https://repos.supermodeltools.com/pytorch/file-android-pytorch-android-src-androidtest-cpp-pytorch-jni-common-test-cpp.html</link>
      <description>Architecture documentation for pytorch_jni_common_test.cpp, a cpp file in the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/file-android-pytorch-android-src-androidtest-cpp-pytorch-jni-common-test-cpp.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>PytorchHostTests.java — pytorch Source File</title>
      <link>https://repos.supermodeltools.com/pytorch/file-android-pytorch-android-src-androidtest-java-org-pytorch-pytorchhosttests-java.html</link>
      <description>Architecture documentation for PytorchHostTests.java, a java file in the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/file-android-pytorch-android-src-androidtest-java-org-pytorch-pytorchhosttests-java.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>PytorchInstrumentedTests.java — pytorch Source File</title>
      <link>https://repos.supermodeltools.com/pytorch/file-android-pytorch-android-src-androidtest-java-org-pytorch-pytorchinstrumentedtests-java.html</link>
      <description>Architecture documentation for PytorchInstrumentedTests.java, a java file in the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/file-android-pytorch-android-src-androidtest-java-org-pytorch-pytorchinstrumentedtests-java.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>PytorchLiteInstrumentedTests.java — pytorch Source File</title>
      <link>https://repos.supermodeltools.com/pytorch/file-android-pytorch-android-src-androidtest-java-org-pytorch-pytorchliteinstrumentedtests-java.html</link>
      <description>Architecture documentation for PytorchLiteInstrumentedTests.java, a java file in the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/file-android-pytorch-android-src-androidtest-java-org-pytorch-pytorchliteinstrumentedtests-java.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>PytorchTestBase.java — pytorch Source File</title>
      <link>https://repos.supermodeltools.com/pytorch/file-android-pytorch-android-src-androidtest-java-org-pytorch-pytorchtestbase-java.html</link>
      <description>Architecture documentation for PytorchTestBase.java, a java file in the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/file-android-pytorch-android-src-androidtest-java-org-pytorch-pytorchtestbase-java.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>PytorchInstrumentedTestSuite.java — pytorch Source File</title>
      <link>https://repos.supermodeltools.com/pytorch/file-android-pytorch-android-src-androidtest-java-org-pytorch-suite-pytorchinstrumentedtestsuite-java.html</link>
      <description>Architecture documentation for PytorchInstrumentedTestSuite.java, a java file in the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/file-android-pytorch-android-src-androidtest-java-org-pytorch-suite-pytorchinstrumentedtestsuite-java.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>PytorchLiteInstrumentedTestSuite.java — pytorch Source File</title>
      <link>https://repos.supermodeltools.com/pytorch/file-android-pytorch-android-src-androidtest-java-org-pytorch-suite-pytorchliteinstrumentedtestsuite-java.html</link>
      <description>Architecture documentation for PytorchLiteInstrumentedTestSuite.java, a java file in the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/file-android-pytorch-android-src-androidtest-java-org-pytorch-suite-pytorchliteinstrumentedtestsuite-java.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>cmake_macros.h — pytorch Source File</title>
      <link>https://repos.supermodeltools.com/pytorch/file-android-pytorch-android-src-main-cpp-cmake-macros-h.html</link>
      <description>Architecture documentation for cmake_macros.h, a c file in the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/file-android-pytorch-android-src-main-cpp-cmake-macros-h.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>pytorch_jni_common.cpp — pytorch Source File</title>
      <link>https://repos.supermodeltools.com/pytorch/file-android-pytorch-android-src-main-cpp-pytorch-jni-common-cpp.html</link>
      <description>Architecture documentation for pytorch_jni_common.cpp, a cpp file in the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/file-android-pytorch-android-src-main-cpp-pytorch-jni-common-cpp.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>pytorch_jni_common.h — pytorch Source File</title>
      <link>https://repos.supermodeltools.com/pytorch/file-android-pytorch-android-src-main-cpp-pytorch-jni-common-h.html</link>
      <description>Architecture documentation for pytorch_jni_common.h, a c file in the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/file-android-pytorch-android-src-main-cpp-pytorch-jni-common-h.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>pytorch_jni_jit.cpp — pytorch Source File</title>
      <link>https://repos.supermodeltools.com/pytorch/file-android-pytorch-android-src-main-cpp-pytorch-jni-jit-cpp.html</link>
      <description>Architecture documentation for pytorch_jni_jit.cpp, a cpp file in the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/file-android-pytorch-android-src-main-cpp-pytorch-jni-jit-cpp.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>pytorch_jni_lite.cpp — pytorch Source File</title>
      <link>https://repos.supermodeltools.com/pytorch/file-android-pytorch-android-src-main-cpp-pytorch-jni-lite-cpp.html</link>
      <description>Architecture documentation for pytorch_jni_lite.cpp, a cpp file in the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/file-android-pytorch-android-src-main-cpp-pytorch-jni-lite-cpp.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>Device.java — pytorch Source File</title>
      <link>https://repos.supermodeltools.com/pytorch/file-android-pytorch-android-src-main-java-org-pytorch-device-java.html</link>
      <description>Architecture documentation for Device.java, a java file in the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/file-android-pytorch-android-src-main-java-org-pytorch-device-java.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>DType.java — pytorch Source File</title>
      <link>https://repos.supermodeltools.com/pytorch/file-android-pytorch-android-src-main-java-org-pytorch-dtype-java.html</link>
      <description>Architecture documentation for DType.java, a java file in the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/file-android-pytorch-android-src-main-java-org-pytorch-dtype-java.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>INativePeer.java — pytorch Source File</title>
      <link>https://repos.supermodeltools.com/pytorch/file-android-pytorch-android-src-main-java-org-pytorch-inativepeer-java.html</link>
      <description>Architecture documentation for INativePeer.java, a java file in the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/file-android-pytorch-android-src-main-java-org-pytorch-inativepeer-java.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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    <item>
      <title>IValue.java — pytorch Source File</title>
      <link>https://repos.supermodeltools.com/pytorch/file-android-pytorch-android-src-main-java-org-pytorch-ivalue-java.html</link>
      <description>Architecture documentation for IValue.java, a java file in the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/file-android-pytorch-android-src-main-java-org-pytorch-ivalue-java.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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    <item>
      <title>LiteModuleLoader.java — pytorch Source File</title>
      <link>https://repos.supermodeltools.com/pytorch/file-android-pytorch-android-src-main-java-org-pytorch-litemoduleloader-java.html</link>
      <description>Architecture documentation for LiteModuleLoader.java, a java file in the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/file-android-pytorch-android-src-main-java-org-pytorch-litemoduleloader-java.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>LiteNativePeer.java — pytorch Source File</title>
      <link>https://repos.supermodeltools.com/pytorch/file-android-pytorch-android-src-main-java-org-pytorch-litenativepeer-java.html</link>
      <description>Architecture documentation for LiteNativePeer.java, a java file in the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/file-android-pytorch-android-src-main-java-org-pytorch-litenativepeer-java.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>MemoryFormat.java — pytorch Source File</title>
      <link>https://repos.supermodeltools.com/pytorch/file-android-pytorch-android-src-main-java-org-pytorch-memoryformat-java.html</link>
      <description>Architecture documentation for MemoryFormat.java, a java file in the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/file-android-pytorch-android-src-main-java-org-pytorch-memoryformat-java.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>Module.java — pytorch Source File</title>
      <link>https://repos.supermodeltools.com/pytorch/file-android-pytorch-android-src-main-java-org-pytorch-module-java.html</link>
      <description>Architecture documentation for Module.java, a java file in the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/file-android-pytorch-android-src-main-java-org-pytorch-module-java.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>NativePeer.java — pytorch Source File</title>
      <link>https://repos.supermodeltools.com/pytorch/file-android-pytorch-android-src-main-java-org-pytorch-nativepeer-java.html</link>
      <description>Architecture documentation for NativePeer.java, a java file in the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/file-android-pytorch-android-src-main-java-org-pytorch-nativepeer-java.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>PyTorchAndroid.java — pytorch Source File</title>
      <link>https://repos.supermodeltools.com/pytorch/file-android-pytorch-android-src-main-java-org-pytorch-pytorchandroid-java.html</link>
      <description>Architecture documentation for PyTorchAndroid.java, a java file in the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/file-android-pytorch-android-src-main-java-org-pytorch-pytorchandroid-java.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>PyTorchCodegenLoader.java — pytorch Source File</title>
      <link>https://repos.supermodeltools.com/pytorch/file-android-pytorch-android-src-main-java-org-pytorch-pytorchcodegenloader-java.html</link>
      <description>Architecture documentation for PyTorchCodegenLoader.java, a java file in the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/file-android-pytorch-android-src-main-java-org-pytorch-pytorchcodegenloader-java.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>Tensor.java — pytorch Source File</title>
      <link>https://repos.supermodeltools.com/pytorch/file-android-pytorch-android-src-main-java-org-pytorch-tensor-java.html</link>
      <description>Architecture documentation for Tensor.java, a java file in the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/file-android-pytorch-android-src-main-java-org-pytorch-tensor-java.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>TorchVisionInstrumentedTestSuite.java — pytorch Source File</title>
      <link>https://repos.supermodeltools.com/pytorch/file-android-pytorch-android-torchvision-src-androidtest-java-org-pytorch-torchvision-suite-torchvisioninstrumentedtestsuite-java.html</link>
      <description>Architecture documentation for TorchVisionInstrumentedTestSuite.java, a java file in the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/file-android-pytorch-android-torchvision-src-androidtest-java-org-pytorch-torchvision-suite-torchvisioninstrumentedtestsuite-java.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>TorchVisionInstrumentedTests.java — pytorch Source File</title>
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      <description>Architecture documentation for tensor_add.cpp, a cpp file in the pytorch codebase.</description>
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      <description>Architecture documentation for kernel_function_legacy_test.cpp, a cpp file in the pytorch codebase.</description>
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      <description>Architecture documentation for kernel_function_test.cpp, a cpp file in the pytorch codebase.</description>
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      <description>Architecture documentation for kernel_lambda_legacy_test.cpp, a cpp file in the pytorch codebase.</description>
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      <description>Architecture documentation for kernel_lambda_test.cpp, a cpp file in the pytorch codebase.</description>
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      <description>Architecture documentation for test_helpers.h, a c file in the pytorch codebase.</description>
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      <description>Architecture documentation for List_test.cpp, a cpp file in the pytorch codebase.</description>
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      <description>Architecture documentation for infer_schema.cpp, a cpp file in the pytorch codebase.</description>
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      <description>Architecture documentation for infer_schema.h, a c file in the pytorch codebase.</description>
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      <description>Architecture documentation for op_allowlist_test.cpp, a cpp file in the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/file-aten-src-aten-core-op-registration-op-registration-cpp.html</link>
      <description>Architecture documentation for op_registration.cpp, a cpp file in the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/file-aten-src-aten-core-op-registration-op-registration-h.html</link>
      <description>Architecture documentation for op_registration.h, a c file in the pytorch codebase.</description>
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      <title>op_registration_test.cpp — pytorch Source File</title>
      <link>https://repos.supermodeltools.com/pytorch/file-aten-src-aten-core-op-registration-op-registration-test-cpp.html</link>
      <description>Architecture documentation for op_registration_test.cpp, a cpp file in the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/file-aten-src-aten-core-op-registration-op-registration-test-cpp.html</guid>
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      <description>Architecture documentation for operator_name.cpp, a cpp file in the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/file-aten-src-aten-core-philoxrngengine-h.html</link>
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      <description>Architecture documentation for PythonFallbackKernel.cpp, a cpp file in the pytorch codebase.</description>
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      <description>Architecture documentation for tensor_type.cpp, a cpp file in the pytorch codebase.</description>
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      <description>Architecture documentation for TensorBase.h, a c file in the pytorch codebase.</description>
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      <description>Architecture documentation for TorchDispatchUtils.cpp, a cpp file in the pytorch codebase.</description>
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      <title>TorchDispatchUtils.h — pytorch Source File</title>
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      <description>Architecture documentation for TorchDispatchUtils.h, a c file in the pytorch codebase.</description>
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      <description>Architecture documentation for TransformationHelper.h, a c file in the pytorch codebase.</description>
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      <description>Architecture documentation for type.cpp, a cpp file in the pytorch codebase.</description>
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      <title>type_factory.cpp — pytorch Source File</title>
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      <description>Architecture documentation for type_factory.cpp, a cpp file in the pytorch codebase.</description>
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      <title>type_factory.h — pytorch Source File</title>
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      <description>Architecture documentation for type_factory.h, a c file in the pytorch codebase.</description>
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      <description>Architecture documentation for VariableHooksInterface.cpp, a cpp file in the pytorch codebase.</description>
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      <description>Architecture documentation for Variadic.h, a c file in the pytorch codebase.</description>
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      <description>Architecture documentation for Vitals.cpp, a cpp file in the pytorch codebase.</description>
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      <description>Architecture documentation for FlushDenormal.cpp, a cpp file in the pytorch codebase.</description>
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      <description>Architecture documentation for Utils.cpp, a cpp file in the pytorch codebase.</description>
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      <description>Architecture documentation for functional_base.h, a c file in the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/file-aten-src-aten-cpu-vec-functional-bfloat16-h.html</link>
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      <link>https://repos.supermodeltools.com/pytorch/file-aten-src-aten-cpu-vec-functional-h.html</link>
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      <link>https://repos.supermodeltools.com/pytorch/file-aten-src-aten-cpu-vec-intrinsics-h.html</link>
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      <link>https://repos.supermodeltools.com/pytorch/file-aten-src-aten-cpu-vec-sve-vec-bfloat16-h.html</link>
      <description>Architecture documentation for vec_bfloat16.h, a c file in the pytorch codebase.</description>
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      <description>Architecture documentation for vec_float.h, a c file in the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/file-aten-src-aten-cpu-vec-sve-vec-int-h.html</link>
      <description>Architecture documentation for vec_int.h, a c file in the pytorch codebase.</description>
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      <description>Architecture documentation for vec_convert.h, a c file in the pytorch codebase.</description>
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      <description>Architecture documentation for vec_half.h, a c file in the pytorch codebase.</description>
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      <description>Architecture documentation for vec_mask.h, a c file in the pytorch codebase.</description>
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      <description>Architecture documentation for vec128_convert.h, a c file in the pytorch codebase.</description>
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      <description>Architecture documentation for Tunable.cpp, a cpp file in the pytorch codebase.</description>
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      <description>Architecture documentation for LegacyBatchingRegistrations.cpp, a cpp file in the pytorch codebase.</description>
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      <description>Architecture documentation for Descriptors.cpp, a cpp file in the pytorch codebase.</description>
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      <title>FunctionOfAMatrixUtilsKernel.cpp — pytorch Source File</title>
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      <title>FusedAdagradKernel.cpp — pytorch Source File</title>
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      <title>Gelu.h — pytorch Source File</title>
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      <title>GridSamplerKernel.cpp — pytorch Source File</title>
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      <title>GridSamplerKernel.h — pytorch Source File</title>
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      <title>group_norm_kernel.cpp — pytorch Source File</title>
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      <description>Architecture documentation for group_norm_kernel.cpp, a cpp file in the pytorch codebase.</description>
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      <title>HistogramKernel.cpp — pytorch Source File</title>
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      <description>Architecture documentation for HistogramKernel.cpp, a cpp file in the pytorch codebase.</description>
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      <title>IndexKernel.cpp — pytorch Source File</title>
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      <title>IndexKernelUtils.h — pytorch Source File</title>
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      <title>int_mm_kernel.h — pytorch Source File</title>
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      <title>int4mm_kernel.cpp — pytorch Source File</title>
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      <title>int8mm_kernel.cpp — pytorch Source File</title>
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      <title>Intrinsics.h — pytorch Source File</title>
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      <title>layer_norm_kernel.cpp — pytorch Source File</title>
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      <title>LerpKernel.cpp — pytorch Source File</title>
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      <title>LogAddExp.h — pytorch Source File</title>
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      <title>PixelShuffleKernel.cpp — pytorch Source File</title>
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      <title>PixelShuffleKernel.h — pytorch Source File</title>
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      <title>RangeFactoriesKernel.cpp — pytorch Source File</title>
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      <title>Fill.cpp — pytorch Source File</title>
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      <title>FractionalMaxPool2d.cpp — pytorch Source File</title>
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      <title>FractionalMaxPool3d.cpp — pytorch Source File</title>
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      <title>FractionalMaxPooling.h — pytorch Source File</title>
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      <description>Architecture documentation for FractionalMaxPooling.h, a c file in the pytorch codebase.</description>
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      <title>FunctionOfAMatrixUtils.cpp — pytorch Source File</title>
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      <description>Architecture documentation for FunctionOfAMatrixUtils.cpp, a cpp file in the pytorch codebase.</description>
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      <title>FunctionOfAMatrixUtils.h — pytorch Source File</title>
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      <description>Architecture documentation for FunctionOfAMatrixUtils.h, a c file in the pytorch codebase.</description>
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      <title>FusedAdagrad.cpp — pytorch Source File</title>
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      <title>FusedAdagrad.h — pytorch Source File</title>
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      <title>FusedAdam.cpp — pytorch Source File</title>
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      <description>Architecture documentation for FusedAdam.cpp, a cpp file in the pytorch codebase.</description>
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      <title>FusedAdam.h — pytorch Source File</title>
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      <title>FusedSGD.cpp — pytorch Source File</title>
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      <title>FusedSGD.h — pytorch Source File</title>
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      <description>Architecture documentation for FusedSGD.h, a c file in the pytorch codebase.</description>
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      <title>GatedLinearUnit.cpp — pytorch Source File</title>
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      <description>Architecture documentation for GatedLinearUnit.cpp, a cpp file in the pytorch codebase.</description>
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      <title>Gelu.h — pytorch Source File</title>
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      <title>GridSampler.cpp — pytorch Source File</title>
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      <description>Architecture documentation for GridSampler.cpp, a cpp file in the pytorch codebase.</description>
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      <title>GridSampler.h — pytorch Source File</title>
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      <description>Architecture documentation for GridSampler.h, a c file in the pytorch codebase.</description>
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      <title>GridSamplerUtils.h — pytorch Source File</title>
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      <description>Architecture documentation for GridSamplerUtils.h, a c file in the pytorch codebase.</description>
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      <title>group_norm.cpp — pytorch Source File</title>
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      <title>group_norm.h — pytorch Source File</title>
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      <title>bgemm_kernel_collection.h — pytorch Source File</title>
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      <title>bgemm_kernel_template.h — pytorch Source File</title>
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      <title>ck_gemm.h — pytorch Source File</title>
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      <title>ck_gemm_template.h — pytorch Source File</title>
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      <title>Im2Col.cpp — pytorch Source File</title>
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      <title>im2col.h — pytorch Source File</title>
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      <title>im2col_shape_check.h — pytorch Source File</title>
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      <title>IndexingUtils.cpp — pytorch Source File</title>
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      <description>Architecture documentation for IndexingUtils.cpp, a cpp file in the pytorch codebase.</description>
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      <title>IndexingUtils.h — pytorch Source File</title>
      <link>https://repos.supermodeltools.com/pytorch/file-aten-src-aten-native-indexingutils-h.html</link>
      <description>Architecture documentation for IndexingUtils.h, a c file in the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/file-aten-src-aten-native-indexkernel-h.html</link>
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      <title>Integration.cpp — pytorch Source File</title>
      <link>https://repos.supermodeltools.com/pytorch/file-aten-src-aten-native-integration-cpp.html</link>
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      <link>https://repos.supermodeltools.com/pytorch/file-aten-src-aten-native-itertools-cpp.html</link>
      <description>Architecture documentation for Itertools.cpp, a cpp file in the pytorch codebase.</description>
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      <description>Architecture documentation for kai_kernels.cpp, a cpp file in the pytorch codebase.</description>
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      <title>kai_kernels.h — pytorch Source File</title>
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      <description>Architecture documentation for kai_kernels.h, a c file in the pytorch codebase.</description>
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      <title>Attention.cpp — pytorch Source File</title>
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      <description>Architecture documentation for Conv.cpp, a cpp file in the pytorch codebase.</description>
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      <title>Deconv.cpp — pytorch Source File</title>
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      <title>DnnlExt.h — pytorch Source File</title>
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      <title>LRUCache.h — pytorch Source File</title>
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      <description>Architecture documentation for qgelu.cpp, a cpp file in the pytorch codebase.</description>
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      <description>Architecture documentation for qhardsigmoid.cpp, a cpp file in the pytorch codebase.</description>
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      <description>Architecture documentation for qhardswish.cpp, a cpp file in the pytorch codebase.</description>
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      <title>qlinear.cpp — pytorch Source File</title>
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      <description>Architecture documentation for qlinear.cpp, a cpp file in the pytorch codebase.</description>
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      <description>Architecture documentation for qlinear_dynamic.cpp, a cpp file in the pytorch codebase.</description>
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      <description>Architecture documentation for qlinear.h, a c file in the pytorch codebase.</description>
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      <title>qlinear_prepack.cpp — pytorch Source File</title>
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      <description>Architecture documentation for qlinear_prepack.cpp, a cpp file in the pytorch codebase.</description>
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      <title>qmatmul.cpp — pytorch Source File</title>
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      <description>Architecture documentation for qmatmul.cpp, a cpp file in the pytorch codebase.</description>
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      <title>qmul.cpp — pytorch Source File</title>
      <link>https://repos.supermodeltools.com/pytorch/file-aten-src-aten-native-quantized-cpu-qmul-cpp.html</link>
      <description>Architecture documentation for qmul.cpp, a cpp file in the pytorch codebase.</description>
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      <title>add.cc — pytorch Source File</title>
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      <description>Architecture documentation for add.cc, a cpp file in the pytorch codebase.</description>
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      <title>average-pooling.cc — pytorch Source File</title>
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      <description>Architecture documentation for average-pooling.cc, a cpp file in the pytorch codebase.</description>
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      <title>channel-shuffle.cc — pytorch Source File</title>
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      <description>Architecture documentation for channel-shuffle.cc, a cpp file in the pytorch codebase.</description>
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      <title>convolution.cc — pytorch Source File</title>
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      <description>Architecture documentation for convolution.cc, a cpp file in the pytorch codebase.</description>
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      <title>global-average-pooling.cc — pytorch Source File</title>
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      <title>hardsigmoid.cc — pytorch Source File</title>
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      <description>Architecture documentation for hardsigmoid.cc, a cpp file in the pytorch codebase.</description>
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      <title>hardswish.cc — pytorch Source File</title>
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      <description>Architecture documentation for hardswish.cc, a cpp file in the pytorch codebase.</description>
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      <title>hgemm.cc — pytorch Source File</title>
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      <title>max-pooling.cc — pytorch Source File</title>
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      <description>Architecture documentation for max-pooling.cc, a cpp file in the pytorch codebase.</description>
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      <title>q8gemm.cc — pytorch Source File</title>
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      <title>sgemm.cc — pytorch Source File</title>
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      <title>sigmoid.cc — pytorch Source File</title>
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      <title>configure.py — pytorch Source File</title>
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      <title>configure.py — pytorch Source File</title>
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      <title>clog.h — pytorch Source File</title>
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      <title>clog.c — pytorch Source File</title>
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      <title>clog.cc — pytorch Source File</title>
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      <title>generate-wrapper.py — pytorch Source File</title>
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      <title>pack_block_sparse.h — pytorch Source File</title>
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      <title>pytorch_qnnpack.h — pytorch Source File</title>
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      <title>qnnpack_func.h — pytorch Source File</title>
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      <description>Architecture documentation for qnnpack_func.h, a c file in the pytorch codebase.</description>
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      <title>add.c — pytorch Source File</title>
      <link>https://repos.supermodeltools.com/pytorch/file-aten-src-aten-native-quantized-cpu-qnnpack-src-add-c.html</link>
      <description>Architecture documentation for add.c, a c file in the pytorch codebase.</description>
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      <title>average-pooling.c — pytorch Source File</title>
      <link>https://repos.supermodeltools.com/pytorch/file-aten-src-aten-native-quantized-cpu-qnnpack-src-average-pooling-c.html</link>
      <description>Architecture documentation for average-pooling.c, a c file in the pytorch codebase.</description>
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      <title>channel-shuffle.c — pytorch Source File</title>
      <link>https://repos.supermodeltools.com/pytorch/file-aten-src-aten-native-quantized-cpu-qnnpack-src-channel-shuffle-c.html</link>
      <description>Architecture documentation for channel-shuffle.c, a c file in the pytorch codebase.</description>
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      <title>clamp.c — pytorch Source File</title>
      <link>https://repos.supermodeltools.com/pytorch/file-aten-src-aten-native-quantized-cpu-qnnpack-src-clamp-c.html</link>
      <description>Architecture documentation for clamp.c, a c file in the pytorch codebase.</description>
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      <title>conv-prepack.cc — pytorch Source File</title>
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      <description>Architecture documentation for conv-prepack.cc, a cpp file in the pytorch codebase.</description>
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      <title>conv-run.cc — pytorch Source File</title>
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      <title>convolution.c — pytorch Source File</title>
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      <description>Architecture documentation for convolution.c, a c file in the pytorch codebase.</description>
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      <title>q31-ssse3.c — pytorch Source File</title>
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      <description>Architecture documentation for neon.c, a c file in the pytorch codebase.</description>
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      <title>neon.c — pytorch Source File</title>
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      <description>Architecture documentation for neon.c, a c file in the pytorch codebase.</description>
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      <description>Architecture documentation for sse2.c, a c file in the pytorch codebase.</description>
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      <description>Architecture documentation for x3-neon.c, a c file in the pytorch codebase.</description>
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      <description>Architecture documentation for x4-neon.c, a c file in the pytorch codebase.</description>
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      <title>clamp-operator-tester.h — pytorch Source File</title>
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      <description>Architecture documentation for fully-connected-sparse-operator-tester.h, a c file in the pytorch codebase.</description>
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      <description>Architecture documentation for gavgpool-microkernel-tester.h, a c file in the pytorch codebase.</description>
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      <description>Architecture documentation for gemm-block-sparse-microkernel-tester.h, a c file in the pytorch codebase.</description>
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      <title>gemm-microkernel-tester.h — pytorch Source File</title>
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      <title>global-average-pooling.cc — pytorch Source File</title>
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      <description>Architecture documentation for global-average-pooling.cc, a cpp file in the pytorch codebase.</description>
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      <title>global-average-pooling-operator-tester.h — pytorch Source File</title>
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      <description>Architecture documentation for global-average-pooling-operator-tester.h, a c file in the pytorch codebase.</description>
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      <title>hardsigmoid.cc — pytorch Source File</title>
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      <description>Architecture documentation for hardsigmoid.cc, a cpp file in the pytorch codebase.</description>
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      <title>hardsigmoid-operator-tester.h — pytorch Source File</title>
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      <description>Architecture documentation for hardsigmoid-operator-tester.h, a c file in the pytorch codebase.</description>
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      <title>hardswish.cc — pytorch Source File</title>
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      <title>hardswish-operator-tester.h — pytorch Source File</title>
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      <title>hgemm.cc — pytorch Source File</title>
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      <description>Architecture documentation for hgemm.cc, a cpp file in the pytorch codebase.</description>
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      <title>leaky-relu.cc — pytorch Source File</title>
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      <description>Architecture documentation for leaky-relu.cc, a cpp file in the pytorch codebase.</description>
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      <title>leaky-relu-operator-tester.h — pytorch Source File</title>
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      <description>Architecture documentation for leaky-relu-operator-tester.h, a c file in the pytorch codebase.</description>
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      <title>lut-microkernel-tester.h — pytorch Source File</title>
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      <title>lut-norm-microkernel-tester.h — pytorch Source File</title>
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      <title>max-pooling.cc — pytorch Source File</title>
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      <description>Architecture documentation for max-pooling.cc, a cpp file in the pytorch codebase.</description>
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      <title>max-pooling-operator-tester.h — pytorch Source File</title>
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      <description>Architecture documentation for max-pooling-operator-tester.h, a c file in the pytorch codebase.</description>
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      <title>maxpool-microkernel-tester.h — pytorch Source File</title>
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      <description>Architecture documentation for maxpool-microkernel-tester.h, a c file in the pytorch codebase.</description>
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      <title>q8avgpool.cc — pytorch Source File</title>
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      <description>Architecture documentation for sigmoid.cc, a cpp file in the pytorch codebase.</description>
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      <description>Architecture documentation for TensorDimApply.h, a c file in the pytorch codebase.</description>
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      <description>Architecture documentation for TensorFactories.cpp, a cpp file in the pytorch codebase.</description>
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      <description>Architecture documentation for TensorIterator.h, a c file in the pytorch codebase.</description>
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      <description>Architecture documentation for TensorIteratorDynamicCasting.h, a c file in the pytorch codebase.</description>
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      <title>TensorIteratorReduce.cpp — pytorch Source File</title>
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      <description>Architecture documentation for TensorIteratorReduce.cpp, a cpp file in the pytorch codebase.</description>
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      <description>Architecture documentation for TensorProperties.cpp, a cpp file in the pytorch codebase.</description>
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      <description>Architecture documentation for TensorProperties.h, a c file in the pytorch codebase.</description>
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      <title>TensorShape.cpp — pytorch Source File</title>
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      <description>Architecture documentation for TensorShape.cpp, a cpp file in the pytorch codebase.</description>
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      <title>TensorShape.h — pytorch Source File</title>
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      <description>Architecture documentation for TensorShape.h, a c file in the pytorch codebase.</description>
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      <description>Architecture documentation for TensorTransformations.cpp, a cpp file in the pytorch codebase.</description>
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      <title>TensorTransformations.h — pytorch Source File</title>
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      <description>Architecture documentation for TensorTransformations.h, a c file in the pytorch codebase.</description>
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      <description>Architecture documentation for TestOps.cpp, a cpp file in the pytorch codebase.</description>
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      <title>attention.cpp — pytorch Source File</title>
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      <description>Architecture documentation for attention.cpp, a cpp file in the pytorch codebase.</description>
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      <description>Architecture documentation for flash_api.cpp, a cpp file in the pytorch codebase.</description>
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      <description>Architecture documentation for flash_api.h, a c file in the pytorch codebase.</description>
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      <title>debug_utils.h — pytorch Source File</title>
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      <description>Architecture documentation for epilogue_pipelined.h, a c file in the pytorch codebase.</description>
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      <description>Architecture documentation for epilogue_rescale_output.h, a c file in the pytorch codebase.</description>
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      <description>Architecture documentation for custom_mma_pipelined.h, a c file in the pytorch codebase.</description>
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      <description>Architecture documentation for mma_accum_lambda_iterator.h, a c file in the pytorch codebase.</description>
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      <description>Architecture documentation for mma_from_smem.h, a c file in the pytorch codebase.</description>
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      <title>predicated_tile_iterator_residual_last.h — pytorch Source File</title>
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      <description>Architecture documentation for predicated_tile_iterator_residual_last.h, a c file in the pytorch codebase.</description>
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      <description>Architecture documentation for warp_iterator_from_smem.h, a c file in the pytorch codebase.</description>
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      <title>kernel_backward.h — pytorch Source File</title>
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      <description>Architecture documentation for kernel_forward.h, a c file in the pytorch codebase.</description>
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      <description>Architecture documentation for sdp_utils.cpp, a cpp file in the pytorch codebase.</description>
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      <title>sdp_utils.h — pytorch Source File</title>
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      <description>Architecture documentation for sdp_utils.h, a c file in the pytorch codebase.</description>
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      <title>flash_common_hip.hpp — pytorch Source File</title>
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      <title>gemm_kernel_utils.h — pytorch Source File</title>
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      <title>sdp_utils_cpp.h — pytorch Source File</title>
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      <title>sdp_utils.h — pytorch Source File</title>
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      <description>Architecture documentation for sdp_utils.cpp, a cpp file in the pytorch codebase.</description>
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      <title>sdp_utils.h — pytorch Source File</title>
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      <title>Unfold3d.h — pytorch Source File</title>
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      <title>UnfoldBackward.cpp — pytorch Source File</title>
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      <title>UnfoldBackward.h — pytorch Source File</title>
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      <description>Architecture documentation for UnfoldBackward.h, a c file in the pytorch codebase.</description>
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      <title>UpSampleBilinear2d.cpp — pytorch Source File</title>
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      <description>Architecture documentation for UpSampleNearest3d.cpp, a cpp file in the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/file-aten-src-aten-native-upsamplenearest3d-cpp.html</guid>
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      <description>Architecture documentation for UpSampleTrilinear3d.cpp, a cpp file in the pytorch codebase.</description>
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      <description>Architecture documentation for Factory.cpp, a cpp file in the pytorch codebase.</description>
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      <description>Architecture documentation for Factory.h, a c file in the pytorch codebase.</description>
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      <title>ParamsHash.h — pytorch Source File</title>
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      <description>Architecture documentation for ParamsHash.h, a c file in the pytorch codebase.</description>
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      <title>ParamUtils.h — pytorch Source File</title>
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      <description>Architecture documentation for ParamUtils.h, a c file in the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/file-aten-src-aten-native-utils-paramutils-h.html</guid>
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      <title>VariableMethodStubs.cpp — pytorch Source File</title>
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      <description>Architecture documentation for VariableMethodStubs.cpp, a cpp file in the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/file-aten-src-aten-native-variablemethodstubs-cpp.html</guid>
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      <title>verbose_wrapper.cpp — pytorch Source File</title>
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      <description>Architecture documentation for verbose_wrapper.cpp, a cpp file in the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/file-aten-src-aten-native-verbose-wrapper-cpp.html</guid>
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      <title>verbose_wrapper.h — pytorch Source File</title>
      <link>https://repos.supermodeltools.com/pytorch/file-aten-src-aten-native-verbose-wrapper-h.html</link>
      <description>Architecture documentation for verbose_wrapper.h, a c file in the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/file-aten-src-aten-native-verbose-wrapper-h.html</guid>
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      <title>vol2col.h — pytorch Source File</title>
      <link>https://repos.supermodeltools.com/pytorch/file-aten-src-aten-native-vol2col-h.html</link>
      <description>Architecture documentation for vol2col.h, a c file in the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/file-aten-src-aten-native-vol2col-h.html</guid>
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    <item>
      <title>Adapter.cpp — pytorch Source File</title>
      <link>https://repos.supermodeltools.com/pytorch/file-aten-src-aten-native-vulkan-api-adapter-cpp.html</link>
      <description>Architecture documentation for Adapter.cpp, a cpp file in the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/file-aten-src-aten-native-vulkan-api-adapter-cpp.html</guid>
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      <title>Adapter.h — pytorch Source File</title>
      <link>https://repos.supermodeltools.com/pytorch/file-aten-src-aten-native-vulkan-api-adapter-h.html</link>
      <description>Architecture documentation for Adapter.h, a c file in the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/file-aten-src-aten-native-vulkan-api-adapter-h.html</guid>
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      <title>Allocator.cpp — pytorch Source File</title>
      <link>https://repos.supermodeltools.com/pytorch/file-aten-src-aten-native-vulkan-api-allocator-cpp.html</link>
      <description>Architecture documentation for Allocator.cpp, a cpp file in the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/file-aten-src-aten-native-vulkan-api-allocator-cpp.html</guid>
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    <item>
      <title>Allocator.h — pytorch Source File</title>
      <link>https://repos.supermodeltools.com/pytorch/file-aten-src-aten-native-vulkan-api-allocator-h.html</link>
      <description>Architecture documentation for Allocator.h, a c file in the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/file-aten-src-aten-native-vulkan-api-allocator-h.html</guid>
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      <title>api.h — pytorch Source File</title>
      <link>https://repos.supermodeltools.com/pytorch/file-aten-src-aten-native-vulkan-api-api-h.html</link>
      <description>Architecture documentation for api.h, a c file in the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/file-aten-src-aten-native-vulkan-api-api-h.html</guid>
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      <title>Command.cpp — pytorch Source File</title>
      <link>https://repos.supermodeltools.com/pytorch/file-aten-src-aten-native-vulkan-api-command-cpp.html</link>
      <description>Architecture documentation for Command.cpp, a cpp file in the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/file-aten-src-aten-native-vulkan-api-command-cpp.html</guid>
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      <title>Command.h — pytorch Source File</title>
      <link>https://repos.supermodeltools.com/pytorch/file-aten-src-aten-native-vulkan-api-command-h.html</link>
      <description>Architecture documentation for Command.h, a c file in the pytorch codebase.</description>
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    <item>
      <title>Context.cpp — pytorch Source File</title>
      <link>https://repos.supermodeltools.com/pytorch/file-aten-src-aten-native-vulkan-api-context-cpp.html</link>
      <description>Architecture documentation for Context.cpp, a cpp file in the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/file-aten-src-aten-native-vulkan-api-context-cpp.html</guid>
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      <title>Context.h — pytorch Source File</title>
      <link>https://repos.supermodeltools.com/pytorch/file-aten-src-aten-native-vulkan-api-context-h.html</link>
      <description>Architecture documentation for Context.h, a c file in the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/file-aten-src-aten-native-vulkan-api-context-h.html</guid>
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      <title>Descriptor.cpp — pytorch Source File</title>
      <link>https://repos.supermodeltools.com/pytorch/file-aten-src-aten-native-vulkan-api-descriptor-cpp.html</link>
      <description>Architecture documentation for Descriptor.cpp, a cpp file in the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/file-aten-src-aten-native-vulkan-api-descriptor-cpp.html</guid>
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    <item>
      <title>Descriptor.h — pytorch Source File</title>
      <link>https://repos.supermodeltools.com/pytorch/file-aten-src-aten-native-vulkan-api-descriptor-h.html</link>
      <description>Architecture documentation for Descriptor.h, a c file in the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/file-aten-src-aten-native-vulkan-api-descriptor-h.html</guid>
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    <item>
      <title>Exception.cpp — pytorch Source File</title>
      <link>https://repos.supermodeltools.com/pytorch/file-aten-src-aten-native-vulkan-api-exception-cpp.html</link>
      <description>Architecture documentation for Exception.cpp, a cpp file in the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/file-aten-src-aten-native-vulkan-api-exception-cpp.html</guid>
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    <item>
      <title>Exception.h — pytorch Source File</title>
      <link>https://repos.supermodeltools.com/pytorch/file-aten-src-aten-native-vulkan-api-exception-h.html</link>
      <description>Architecture documentation for Exception.h, a c file in the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/file-aten-src-aten-native-vulkan-api-exception-h.html</guid>
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      <title>Pipeline.cpp — pytorch Source File</title>
      <link>https://repos.supermodeltools.com/pytorch/file-aten-src-aten-native-vulkan-api-pipeline-cpp.html</link>
      <description>Architecture documentation for Pipeline.cpp, a cpp file in the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/file-aten-src-aten-native-vulkan-api-pipeline-cpp.html</guid>
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    <item>
      <title>Pipeline.h — pytorch Source File</title>
      <link>https://repos.supermodeltools.com/pytorch/file-aten-src-aten-native-vulkan-api-pipeline-h.html</link>
      <description>Architecture documentation for Pipeline.h, a c file in the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/file-aten-src-aten-native-vulkan-api-pipeline-h.html</guid>
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      <title>QueryPool.cpp — pytorch Source File</title>
      <link>https://repos.supermodeltools.com/pytorch/file-aten-src-aten-native-vulkan-api-querypool-cpp.html</link>
      <description>Architecture documentation for QueryPool.cpp, a cpp file in the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/file-aten-src-aten-native-vulkan-api-querypool-cpp.html</guid>
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      <title>QueryPool.h — pytorch Source File</title>
      <link>https://repos.supermodeltools.com/pytorch/file-aten-src-aten-native-vulkan-api-querypool-h.html</link>
      <description>Architecture documentation for QueryPool.h, a c file in the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/file-aten-src-aten-native-vulkan-api-querypool-h.html</guid>
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      <title>Resource.cpp — pytorch Source File</title>
      <link>https://repos.supermodeltools.com/pytorch/file-aten-src-aten-native-vulkan-api-resource-cpp.html</link>
      <description>Architecture documentation for Resource.cpp, a cpp file in the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/file-aten-src-aten-native-vulkan-api-resource-cpp.html</guid>
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      <title>Resource.h — pytorch Source File</title>
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      <description>Architecture documentation for Resource.h, a c file in the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/file-aten-src-aten-native-vulkan-api-resource-h.html</guid>
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      <title>Runtime.cpp — pytorch Source File</title>
      <link>https://repos.supermodeltools.com/pytorch/file-aten-src-aten-native-vulkan-api-runtime-cpp.html</link>
      <description>Architecture documentation for Runtime.cpp, a cpp file in the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/file-aten-src-aten-native-vulkan-api-runtime-cpp.html</guid>
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      <title>Runtime.h — pytorch Source File</title>
      <link>https://repos.supermodeltools.com/pytorch/file-aten-src-aten-native-vulkan-api-runtime-h.html</link>
      <description>Architecture documentation for Runtime.h, a c file in the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/file-aten-src-aten-native-vulkan-api-runtime-h.html</guid>
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      <title>Shader.cpp — pytorch Source File</title>
      <link>https://repos.supermodeltools.com/pytorch/file-aten-src-aten-native-vulkan-api-shader-cpp.html</link>
      <description>Architecture documentation for Shader.cpp, a cpp file in the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/file-aten-src-aten-native-vulkan-api-shader-cpp.html</guid>
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      <title>Shader.h — pytorch Source File</title>
      <link>https://repos.supermodeltools.com/pytorch/file-aten-src-aten-native-vulkan-api-shader-h.html</link>
      <description>Architecture documentation for Shader.h, a c file in the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/file-aten-src-aten-native-vulkan-api-shader-h.html</guid>
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      <title>ShaderRegistry.cpp — pytorch Source File</title>
      <link>https://repos.supermodeltools.com/pytorch/file-aten-src-aten-native-vulkan-api-shaderregistry-cpp.html</link>
      <description>Architecture documentation for ShaderRegistry.cpp, a cpp file in the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/file-aten-src-aten-native-vulkan-api-shaderregistry-cpp.html</guid>
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      <title>ShaderRegistry.h — pytorch Source File</title>
      <link>https://repos.supermodeltools.com/pytorch/file-aten-src-aten-native-vulkan-api-shaderregistry-h.html</link>
      <description>Architecture documentation for ShaderRegistry.h, a c file in the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/file-aten-src-aten-native-vulkan-api-shaderregistry-h.html</guid>
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      <title>StringUtil.h — pytorch Source File</title>
      <link>https://repos.supermodeltools.com/pytorch/file-aten-src-aten-native-vulkan-api-stringutil-h.html</link>
      <description>Architecture documentation for StringUtil.h, a c file in the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/file-aten-src-aten-native-vulkan-api-stringutil-h.html</guid>
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      <title>Tensor.cpp — pytorch Source File</title>
      <link>https://repos.supermodeltools.com/pytorch/file-aten-src-aten-native-vulkan-api-tensor-cpp.html</link>
      <description>Architecture documentation for Tensor.cpp, a cpp file in the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/file-aten-src-aten-native-vulkan-api-tensor-cpp.html</guid>
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      <title>Tensor.h — pytorch Source File</title>
      <link>https://repos.supermodeltools.com/pytorch/file-aten-src-aten-native-vulkan-api-tensor-h.html</link>
      <description>Architecture documentation for Tensor.h, a c file in the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/file-aten-src-aten-native-vulkan-api-tensor-h.html</guid>
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      <title>Types.h — pytorch Source File</title>
      <link>https://repos.supermodeltools.com/pytorch/file-aten-src-aten-native-vulkan-api-types-h.html</link>
      <description>Architecture documentation for Types.h, a c file in the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/file-aten-src-aten-native-vulkan-api-types-h.html</guid>
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      <title>Utils.h — pytorch Source File</title>
      <link>https://repos.supermodeltools.com/pytorch/file-aten-src-aten-native-vulkan-api-utils-h.html</link>
      <description>Architecture documentation for Utils.h, a c file in the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/file-aten-src-aten-native-vulkan-api-utils-h.html</guid>
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      <title>vk_api.h — pytorch Source File</title>
      <link>https://repos.supermodeltools.com/pytorch/file-aten-src-aten-native-vulkan-api-vk-api-h.html</link>
      <description>Architecture documentation for vk_api.h, a c file in the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/file-aten-src-aten-native-vulkan-api-vk-api-h.html</guid>
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      <title>indexing.h — pytorch Source File</title>
      <link>https://repos.supermodeltools.com/pytorch/file-aten-src-aten-native-vulkan-glsl-indexing-h.html</link>
      <description>Architecture documentation for indexing.h, a c file in the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/file-aten-src-aten-native-vulkan-glsl-indexing-h.html</guid>
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      <title>random.h — pytorch Source File</title>
      <link>https://repos.supermodeltools.com/pytorch/file-aten-src-aten-native-vulkan-glsl-random-h.html</link>
      <description>Architecture documentation for random.h, a c file in the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/file-aten-src-aten-native-vulkan-glsl-random-h.html</guid>
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      <title>texel_access.h — pytorch Source File</title>
      <link>https://repos.supermodeltools.com/pytorch/file-aten-src-aten-native-vulkan-glsl-texel-access-h.html</link>
      <description>Architecture documentation for texel_access.h, a c file in the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/file-aten-src-aten-native-vulkan-glsl-texel-access-h.html</guid>
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      <title>Arithmetic.cpp — pytorch Source File</title>
      <link>https://repos.supermodeltools.com/pytorch/file-aten-src-aten-native-vulkan-impl-arithmetic-cpp.html</link>
      <description>Architecture documentation for Arithmetic.cpp, a cpp file in the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/file-aten-src-aten-native-vulkan-impl-arithmetic-cpp.html</guid>
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      <title>Arithmetic.h — pytorch Source File</title>
      <link>https://repos.supermodeltools.com/pytorch/file-aten-src-aten-native-vulkan-impl-arithmetic-h.html</link>
      <description>Architecture documentation for Arithmetic.h, a c file in the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/file-aten-src-aten-native-vulkan-impl-arithmetic-h.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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    <item>
      <title>Common.cpp — pytorch Source File</title>
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      <description>Architecture documentation for Common.h, a c file in the pytorch codebase.</description>
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      <description>Architecture documentation for Packing.cpp, a cpp file in the pytorch codebase.</description>
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      <title>Packing.h — pytorch Source File</title>
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      <description>Architecture documentation for Packing.h, a c file in the pytorch codebase.</description>
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      <description>Architecture documentation for Batchnorm.cpp, a cpp file in the pytorch codebase.</description>
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      <title>Batchnorm.h — pytorch Source File</title>
      <link>https://repos.supermodeltools.com/pytorch/file-aten-src-aten-native-vulkan-ops-batchnorm-h.html</link>
      <description>Architecture documentation for Batchnorm.h, a c file in the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/file-aten-src-aten-native-vulkan-ops-batchnorm-h.html</guid>
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      <title>BinaryOp.cpp — pytorch Source File</title>
      <link>https://repos.supermodeltools.com/pytorch/file-aten-src-aten-native-vulkan-ops-binaryop-cpp.html</link>
      <description>Architecture documentation for BinaryOp.cpp, a cpp file in the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/file-aten-src-aten-native-vulkan-ops-binaryop-cpp.html</guid>
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      <title>Clamp.cpp — pytorch Source File</title>
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      <description>Architecture documentation for Clamp.cpp, a cpp file in the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/file-aten-src-aten-native-vulkan-ops-clamp-cpp.html</guid>
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      <title>Clone.cpp — pytorch Source File</title>
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      <description>Architecture documentation for Clone.cpp, a cpp file in the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/file-aten-src-aten-native-vulkan-ops-clone-cpp.html</guid>
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      <title>Common.h — pytorch Source File</title>
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      <description>Architecture documentation for Common.h, a c file in the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/file-aten-src-aten-native-vulkan-ops-common-h.html</guid>
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    <item>
      <title>Concat.cpp — pytorch Source File</title>
      <link>https://repos.supermodeltools.com/pytorch/file-aten-src-aten-native-vulkan-ops-concat-cpp.html</link>
      <description>Architecture documentation for Concat.cpp, a cpp file in the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/file-aten-src-aten-native-vulkan-ops-concat-cpp.html</guid>
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      <title>Convert.h — pytorch Source File</title>
      <link>https://repos.supermodeltools.com/pytorch/file-aten-src-aten-native-vulkan-ops-convert-h.html</link>
      <description>Architecture documentation for Convert.h, a c file in the pytorch codebase.</description>
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      <title>Convolution.cpp — pytorch Source File</title>
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      <description>Architecture documentation for Convolution.cpp, a cpp file in the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/file-aten-src-aten-native-vulkan-ops-convolution-cpp.html</guid>
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    <item>
      <title>Convolution.h — pytorch Source File</title>
      <link>https://repos.supermodeltools.com/pytorch/file-aten-src-aten-native-vulkan-ops-convolution-h.html</link>
      <description>Architecture documentation for Convolution.h, a c file in the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/file-aten-src-aten-native-vulkan-ops-convolution-h.html</guid>
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    <item>
      <title>Copy.cpp — pytorch Source File</title>
      <link>https://repos.supermodeltools.com/pytorch/file-aten-src-aten-native-vulkan-ops-copy-cpp.html</link>
      <description>Architecture documentation for Copy.cpp, a cpp file in the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/file-aten-src-aten-native-vulkan-ops-copy-cpp.html</guid>
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      <title>Copy.h — pytorch Source File</title>
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      <description>Architecture documentation for Copy.h, a c file in the pytorch codebase.</description>
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      <title>cumsum.cpp — pytorch Source File</title>
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      <description>Architecture documentation for cumsum.cpp, a cpp file in the pytorch codebase.</description>
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      <title>Expand.cpp — pytorch Source File</title>
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      <description>Architecture documentation for Expand.cpp, a cpp file in the pytorch codebase.</description>
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      <title>Factory.cpp — pytorch Source File</title>
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      <description>Architecture documentation for Factory.cpp, a cpp file in the pytorch codebase.</description>
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      <title>Factory.h — pytorch Source File</title>
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      <description>Architecture documentation for Factory.h, a c file in the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/file-aten-src-aten-native-vulkan-ops-factory-h.html</guid>
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      <title>Flip.cpp — pytorch Source File</title>
      <link>https://repos.supermodeltools.com/pytorch/file-aten-src-aten-native-vulkan-ops-flip-cpp.html</link>
      <description>Architecture documentation for Flip.cpp, a cpp file in the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/file-aten-src-aten-native-vulkan-ops-flip-cpp.html</guid>
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      <title>Glu.cpp — pytorch Source File</title>
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      <description>Architecture documentation for Glu.cpp, a cpp file in the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/file-aten-src-aten-native-vulkan-ops-glu-cpp.html</guid>
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      <title>Gru.cpp — pytorch Source File</title>
      <link>https://repos.supermodeltools.com/pytorch/file-aten-src-aten-native-vulkan-ops-gru-cpp.html</link>
      <description>Architecture documentation for Gru.cpp, a cpp file in the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/file-aten-src-aten-native-vulkan-ops-gru-cpp.html</guid>
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      <title>Gru.h — pytorch Source File</title>
      <link>https://repos.supermodeltools.com/pytorch/file-aten-src-aten-native-vulkan-ops-gru-h.html</link>
      <description>Architecture documentation for Gru.h, a c file in the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/file-aten-src-aten-native-vulkan-ops-gru-h.html</guid>
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      <title>Layernorm.cpp — pytorch Source File</title>
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      <description>Architecture documentation for Layernorm.cpp, a cpp file in the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/file-aten-src-aten-native-vulkan-ops-layernorm-cpp.html</guid>
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      <title>Layernorm.h — pytorch Source File</title>
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      <description>Architecture documentation for Layernorm.h, a c file in the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/file-aten-src-aten-native-vulkan-ops-layernorm-h.html</guid>
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      <title>Lerp.cpp — pytorch Source File</title>
      <link>https://repos.supermodeltools.com/pytorch/file-aten-src-aten-native-vulkan-ops-lerp-cpp.html</link>
      <description>Architecture documentation for Lerp.cpp, a cpp file in the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/file-aten-src-aten-native-vulkan-ops-lerp-cpp.html</guid>
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      <title>Lstm.cpp — pytorch Source File</title>
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      <description>Architecture documentation for Lstm.cpp, a cpp file in the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/file-aten-src-aten-native-vulkan-ops-lstm-cpp.html</guid>
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      <title>Lstm.h — pytorch Source File</title>
      <link>https://repos.supermodeltools.com/pytorch/file-aten-src-aten-native-vulkan-ops-lstm-h.html</link>
      <description>Architecture documentation for Lstm.h, a c file in the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/file-aten-src-aten-native-vulkan-ops-lstm-h.html</guid>
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      <title>MaskedFill.cpp — pytorch Source File</title>
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      <description>Architecture documentation for MaskedFill.cpp, a cpp file in the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/file-aten-src-aten-native-vulkan-ops-maskedfill-cpp.html</guid>
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      <title>Mean.cpp — pytorch Source File</title>
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      <description>Architecture documentation for Mean.cpp, a cpp file in the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/file-aten-src-aten-native-vulkan-ops-mean-cpp.html</guid>
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      <title>Mm.cpp — pytorch Source File</title>
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      <description>Architecture documentation for Mm.cpp, a cpp file in the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/file-aten-src-aten-native-vulkan-ops-mm-cpp.html</guid>
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      <title>Mm.h — pytorch Source File</title>
      <link>https://repos.supermodeltools.com/pytorch/file-aten-src-aten-native-vulkan-ops-mm-h.html</link>
      <description>Architecture documentation for Mm.h, a c file in the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/file-aten-src-aten-native-vulkan-ops-mm-h.html</guid>
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      <title>NativeLayerNorm.cpp — pytorch Source File</title>
      <link>https://repos.supermodeltools.com/pytorch/file-aten-src-aten-native-vulkan-ops-nativelayernorm-cpp.html</link>
      <description>Architecture documentation for NativeLayerNorm.cpp, a cpp file in the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/file-aten-src-aten-native-vulkan-ops-nativelayernorm-cpp.html</guid>
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      <title>Padding.cpp — pytorch Source File</title>
      <link>https://repos.supermodeltools.com/pytorch/file-aten-src-aten-native-vulkan-ops-padding-cpp.html</link>
      <description>Architecture documentation for Padding.cpp, a cpp file in the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/file-aten-src-aten-native-vulkan-ops-padding-cpp.html</guid>
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      <title>Permute.cpp — pytorch Source File</title>
      <link>https://repos.supermodeltools.com/pytorch/file-aten-src-aten-native-vulkan-ops-permute-cpp.html</link>
      <description>Architecture documentation for Permute.cpp, a cpp file in the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/file-aten-src-aten-native-vulkan-ops-permute-cpp.html</guid>
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      <title>Pool.cpp — pytorch Source File</title>
      <link>https://repos.supermodeltools.com/pytorch/file-aten-src-aten-native-vulkan-ops-pool-cpp.html</link>
      <description>Architecture documentation for Pool.cpp, a cpp file in the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/file-aten-src-aten-native-vulkan-ops-pool-cpp.html</guid>
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      <title>QuantizedFunctions.h — pytorch Source File</title>
      <link>https://repos.supermodeltools.com/pytorch/file-aten-src-aten-native-vulkan-ops-quantizedfunctions-h.html</link>
      <description>Architecture documentation for QuantizedFunctions.h, a c file in the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/file-aten-src-aten-native-vulkan-ops-quantizedfunctions-h.html</guid>
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      <title>QuantizedTensor.cpp — pytorch Source File</title>
      <link>https://repos.supermodeltools.com/pytorch/file-aten-src-aten-native-vulkan-ops-quantizedtensor-cpp.html</link>
      <description>Architecture documentation for QuantizedTensor.cpp, a cpp file in the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/file-aten-src-aten-native-vulkan-ops-quantizedtensor-cpp.html</guid>
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      <title>Random.cpp — pytorch Source File</title>
      <link>https://repos.supermodeltools.com/pytorch/file-aten-src-aten-native-vulkan-ops-random-cpp.html</link>
      <description>Architecture documentation for Random.cpp, a cpp file in the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/file-aten-src-aten-native-vulkan-ops-random-cpp.html</guid>
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      <title>Register.cpp — pytorch Source File</title>
      <link>https://repos.supermodeltools.com/pytorch/file-aten-src-aten-native-vulkan-ops-register-cpp.html</link>
      <description>Architecture documentation for Register.cpp, a cpp file in the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/file-aten-src-aten-native-vulkan-ops-register-cpp.html</guid>
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      <title>Register.h — pytorch Source File</title>
      <link>https://repos.supermodeltools.com/pytorch/file-aten-src-aten-native-vulkan-ops-register-h.html</link>
      <description>Architecture documentation for Register.h, a c file in the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/file-aten-src-aten-native-vulkan-ops-register-h.html</guid>
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      <title>Repeat.cpp — pytorch Source File</title>
      <link>https://repos.supermodeltools.com/pytorch/file-aten-src-aten-native-vulkan-ops-repeat-cpp.html</link>
      <description>Architecture documentation for Repeat.cpp, a cpp file in the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/file-aten-src-aten-native-vulkan-ops-repeat-cpp.html</guid>
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      <title>Scalar.cpp — pytorch Source File</title>
      <link>https://repos.supermodeltools.com/pytorch/file-aten-src-aten-native-vulkan-ops-scalar-cpp.html</link>
      <description>Architecture documentation for Scalar.cpp, a cpp file in the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/file-aten-src-aten-native-vulkan-ops-scalar-cpp.html</guid>
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      <title>Select.cpp — pytorch Source File</title>
      <link>https://repos.supermodeltools.com/pytorch/file-aten-src-aten-native-vulkan-ops-select-cpp.html</link>
      <description>Architecture documentation for Select.cpp, a cpp file in the pytorch codebase.</description>
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      <title>Shape.cpp — pytorch Source File</title>
      <link>https://repos.supermodeltools.com/pytorch/file-aten-src-aten-native-vulkan-ops-shape-cpp.html</link>
      <description>Architecture documentation for Shape.cpp, a cpp file in the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/file-aten-src-aten-native-vulkan-ops-shape-cpp.html</guid>
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      <description>Architecture documentation for Softmax.cpp, a cpp file in the pytorch codebase.</description>
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      <description>Architecture documentation for Sum.cpp, a cpp file in the pytorch codebase.</description>
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      <description>Architecture documentation for Tile.cpp, a cpp file in the pytorch codebase.</description>
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      <description>Architecture documentation for Transpose.cpp, a cpp file in the pytorch codebase.</description>
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      <description>Architecture documentation for UnaryOp.cpp, a cpp file in the pytorch codebase.</description>
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      <title>Unsqueeze.cpp — pytorch Source File</title>
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      <description>Architecture documentation for Unsqueeze.cpp, a cpp file in the pytorch codebase.</description>
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      <description>Architecture documentation for Upsample.cpp, a cpp file in the pytorch codebase.</description>
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      <description>Architecture documentation for Utils.cpp, a cpp file in the pytorch codebase.</description>
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      <description>Architecture documentation for Utils.h, a c file in the pytorch codebase.</description>
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      <description>Architecture documentation for Var.cpp, a cpp file in the pytorch codebase.</description>
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      <title>VulkanPackedContext.h — pytorch Source File</title>
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      <description>Architecture documentation for VulkanPackedContext.h, a c file in the pytorch codebase.</description>
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      <title>Zero.cpp — pytorch Source File</title>
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      <description>Architecture documentation for Zero.cpp, a cpp file in the pytorch codebase.</description>
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      <title>VulkanGuardImpl.cpp — pytorch Source File</title>
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      <description>Architecture documentation for VulkanGuardImpl.cpp, a cpp file in the pytorch codebase.</description>
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      <title>VulkanOpaqueTensorImpl.h — pytorch Source File</title>
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      <description>Architecture documentation for VulkanOpaqueTensorImpl.h, a c file in the pytorch codebase.</description>
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      <title>WeightNorm.cpp — pytorch Source File</title>
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      <description>Architecture documentation for WeightNorm.cpp, a cpp file in the pytorch codebase.</description>
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      <title>AveragePooling.cpp — pytorch Source File</title>
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      <description>Architecture documentation for AveragePooling.cpp, a cpp file in the pytorch codebase.</description>
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      <title>ChannelShuffle.cpp — pytorch Source File</title>
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      <description>Architecture documentation for ChannelShuffle.cpp, a cpp file in the pytorch codebase.</description>
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      <title>Convolution.cpp — pytorch Source File</title>
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      <description>Architecture documentation for Convolution.h, a c file in the pytorch codebase.</description>
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      <description>Architecture documentation for Linear.cpp, a cpp file in the pytorch codebase.</description>
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      <title>MaxPooling.cpp — pytorch Source File</title>
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      <description>Architecture documentation for MaxPooling.cpp, a cpp file in the pytorch codebase.</description>
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      <title>RegisterOpContextClass.cpp — pytorch Source File</title>
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      <description>Architecture documentation for nnapi_bind.h, a c file in the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/file-aten-src-aten-nnapi-nnapi-model-loader-cpp.html</link>
      <description>Architecture documentation for nnapi_model_loader.cpp, a cpp file in the pytorch codebase.</description>
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      <description>Architecture documentation for nnapi_model_loader.h, a c file in the pytorch codebase.</description>
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      <description>Architecture documentation for nnapi_register.cpp, a cpp file in the pytorch codebase.</description>
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      <description>Architecture documentation for nnapi_wrapper.cpp, a cpp file in the pytorch codebase.</description>
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      <description>Architecture documentation for OpaqueTensorImpl.h, a c file in the pytorch codebase.</description>
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      <description>Architecture documentation for quantized_test.cpp, a cpp file in the pytorch codebase.</description>
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      <description>Architecture documentation for reduce_ops_test.cpp, a cpp file in the pytorch codebase.</description>
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      <description>Architecture documentation for scalar_tensor_test.cpp, a cpp file in the pytorch codebase.</description>
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      <description>Architecture documentation for tensor_interop_test.cpp, a cpp file in the pytorch codebase.</description>
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      <description>Architecture documentation for vec_test_all_types.cpp, a cpp file in the pytorch codebase.</description>
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      <description>Architecture documentation for XPUContext.cpp, a cpp file in the pytorch codebase.</description>
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      <description>Architecture documentation for XPUContext.h, a c file in the pytorch codebase.</description>
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      <description>Architecture documentation for XPUEvent.h, a c file in the pytorch codebase.</description>
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      <description>Architecture documentation for ZeroTensorFallback.cpp, a cpp file in the pytorch codebase.</description>
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      <description>Architecture documentation for check_accuracy.py, a python file in the pytorch codebase.</description>
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      <description>Architecture documentation for combine_csv.py, a python file in the pytorch codebase.</description>
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      <description>Architecture documentation for analyze_templates.py, a python file in the pytorch codebase.</description>
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      <description>Architecture documentation for bench_mm_fusion.py, a python file in the pytorch codebase.</description>
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      <description>Architecture documentation for benchmark_helper.py, a python file in the pytorch codebase.</description>
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      <description>Architecture documentation for __init__.py, a python file in the pytorch codebase.</description>
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      <description>Architecture documentation for matmul_relu.py, a python file in the pytorch codebase.</description>
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      <description>Architecture documentation for microbench.py, a python file in the pytorch codebase.</description>
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      <description>Architecture documentation for model.py, a python file in the pytorch codebase.</description>
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      <description>Architecture documentation for the optimize_templates() function in analyze_templates.py from the pytorch codebase.</description>
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      <description>Architecture documentation for the bench() function in bench_mm_fusion.py from the pytorch codebase.</description>
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      <description>Architecture documentation for the fusion_type() function in bench_mm_fusion.py from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/fn-bench-mm-fusion-py-mm-add-relu.html</link>
      <description>Architecture documentation for the mm_add_relu() function in bench_mm_fusion.py from the pytorch codebase.</description>
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      <description>Architecture documentation for the mm_add() function in bench_mm_fusion.py from the pytorch codebase.</description>
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      <description>Architecture documentation for the mm_relu() function in bench_mm_fusion.py from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/fn-bench-mm-fusion-py-mm.html</link>
      <description>Architecture documentation for the mm() function in bench_mm_fusion.py from the pytorch codebase.</description>
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      <description>Architecture documentation for the _benchmark_tile_reduce_single() function in bench_nvshmem_tile_reduce.py from the pytorch codebase.</description>
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      <description>Architecture documentation for the device() function in bench_nvshmem_tile_reduce.py from the pytorch codebase.</description>
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      <description>Architecture documentation for the _init_device() function in bench_nvshmem_tile_reduce.py from the pytorch codebase.</description>
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      <title>requires_nvshmem() — pytorch Function Reference</title>
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      <description>Architecture documentation for the requires_nvshmem() function in bench_nvshmem_tile_reduce.py from the pytorch codebase.</description>
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      <description>Architecture documentation for the torch() function in bench_nvshmem_tile_reduce.py from the pytorch codebase.</description>
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      <description>Architecture documentation for the allequal() function in benchmark.py from the pytorch codebase.</description>
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      <description>Architecture documentation for the allgather_object() function in benchmark.py from the pytorch codebase.</description>
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      <title>allgather_run() — pytorch Function Reference</title>
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      <description>Architecture documentation for the allgather_run() function in benchmark.py from the pytorch codebase.</description>
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      <description>Architecture documentation for the create_model() function in benchmark.py from the pytorch codebase.</description>
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      <description>Architecture documentation for the create_model() function in benchmark.py from the pytorch codebase.</description>
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      <description>Architecture documentation for the generate_inputs() function in benchmark.py from the pytorch codebase.</description>
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      <title>generate_inputs() — pytorch Function Reference</title>
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      <description>Architecture documentation for the generate_inputs() function in benchmark.py from the pytorch codebase.</description>
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      <description>Architecture documentation for the generate_target() function in benchmark.py from the pytorch codebase.</description>
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      <title>generate_target() — pytorch Function Reference</title>
      <link>https://repos.supermodeltools.com/pytorch/fn-benchmark-py-generate-target.html</link>
      <description>Architecture documentation for the generate_target() function in benchmark.py from the pytorch codebase.</description>
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      <description>Architecture documentation for the __init__() function in benchmark.py from the pytorch codebase.</description>
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      <title>__init__() — pytorch Function Reference</title>
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      <description>Architecture documentation for the __init__() function in benchmark.py from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/fn-benchmark-py-list-benchmarks.html</link>
      <description>Architecture documentation for the list_benchmarks() function in benchmark.py from the pytorch codebase.</description>
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      <description>Architecture documentation for the main() function in benchmark.py from the pytorch codebase.</description>
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      <title>main() — pytorch Function Reference</title>
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      <description>Architecture documentation for the main() function in benchmark.py from the pytorch codebase.</description>
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      <description>Architecture documentation for the run_all_benchmarks() function in benchmark.py from the pytorch codebase.</description>
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      <description>Architecture documentation for the _run_benchmark() function in benchmark.py from the pytorch codebase.</description>
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      <description>Architecture documentation for the run_benchmark() function in benchmark.py from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/fn-benchmark-py-run-benchmark.html</link>
      <description>Architecture documentation for the run_benchmark() function in benchmark.py from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/fn-benchmark-py-show-environment-info.html</link>
      <description>Architecture documentation for the show_environment_info() function in benchmark.py from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/fn-benchmark-py-str-2.html</link>
      <description>Architecture documentation for the __str__() function in benchmark.py from the pytorch codebase.</description>
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      <title>__str__() — pytorch Function Reference</title>
      <link>https://repos.supermodeltools.com/pytorch/fn-benchmark-py-str.html</link>
      <description>Architecture documentation for the __str__() function in benchmark.py from the pytorch codebase.</description>
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      <title>sweep() — pytorch Function Reference</title>
      <link>https://repos.supermodeltools.com/pytorch/fn-benchmark-py-sweep.html</link>
      <description>Architecture documentation for the sweep() function in benchmark.py from the pytorch codebase.</description>
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      <title>args() — pytorch Function Reference</title>
      <link>https://repos.supermodeltools.com/pytorch/fn-benchmarks-py-args.html</link>
      <description>Architecture documentation for the args() function in benchmarks.py from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/fn-benchmarks-py-assertionerror.html</link>
      <description>Architecture documentation for the AssertionError() function in benchmarks.py from the pytorch codebase.</description>
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      <title>model_names() — pytorch Function Reference</title>
      <link>https://repos.supermodeltools.com/pytorch/fn-benchmarks-py-model-names.html</link>
      <description>Architecture documentation for the model_names() function in benchmarks.py from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/fn-benchmarks-py-parse-args.html</link>
      <description>Architecture documentation for the parse_args() function in benchmarks.py from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/fn-cache-debug-microbenchmarks-py-huge-graph.html</link>
      <description>Architecture documentation for the huge_graph() function in cache_debug_microbenchmarks.py from the pytorch codebase.</description>
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      <description>Architecture documentation for the main() function in cache_debug_microbenchmarks.py from the pytorch codebase.</description>
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      <description>Architecture documentation for the huge_graph() function in cache_hit_microbenchmarks.py from the pytorch codebase.</description>
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      <description>Architecture documentation for the main() function in cache_hit_microbenchmarks.py from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/fn-cachebench-py-get-compile-time.html</link>
      <description>Architecture documentation for the get_compile_time() function in cachebench.py from the pytorch codebase.</description>
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      <description>Architecture documentation for the main() function in cachebench.py from the pytorch codebase.</description>
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      <description>Architecture documentation for the parse_cmd_args() function in cachebench.py from the pytorch codebase.</description>
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      <description>Architecture documentation for the _run_torchbench_from_args() function in cachebench.py from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/fn-cachebench-py-run-torchbench-model.html</link>
      <description>Architecture documentation for the _run_torchbench_model() function in cachebench.py from the pytorch codebase.</description>
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      <description>Architecture documentation for the _write_results_to_json() function in cachebench.py from the pytorch codebase.</description>
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      <description>Architecture documentation for the check_accuracy() function in check_accuracy.py from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/fn-check-accuracy-py-get-field.html</link>
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      <link>https://repos.supermodeltools.com/pytorch/fn-check-accuracy-py-main.html</link>
      <description>Architecture documentation for the main() function in check_accuracy.py from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/fn-check-csv-py-parser.html</link>
      <description>Architecture documentation for the parser() function in check_csv.py from the pytorch codebase.</description>
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      <description>Architecture documentation for the check_perf_csv() function in check_perf_csv.py from the pytorch codebase.</description>
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      <description>Architecture documentation for the parser() function in check_perf_csv.py from the pytorch codebase.</description>
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      <description>Architecture documentation for the AssertionError() function in combine_csv.py from the pytorch codebase.</description>
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      <description>Architecture documentation for the aot_summary() function in common.py from the pytorch codebase.</description>
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      <title>args() — pytorch Function Reference</title>
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      <description>Architecture documentation for the args() function in common.py from the pytorch codebase.</description>
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      <title>baselines() — pytorch Function Reference</title>
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      <description>Architecture documentation for the baselines() function in common.py from the pytorch codebase.</description>
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      <description>Architecture documentation for the batch_size_finder() function in common.py from the pytorch codebase.</description>
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      <description>Architecture documentation for the cast_based_on_args() function in common.py from the pytorch codebase.</description>
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      <description>Architecture documentation for the cast_to_bf16() function in common.py from the pytorch codebase.</description>
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      <description>Architecture documentation for the cast_to_fp16() function in common.py from the pytorch codebase.</description>
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      <description>Architecture documentation for the cast_to_fp32() function in common.py from the pytorch codebase.</description>
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      <description>Architecture documentation for the cast_to_fp64() function in common.py from the pytorch codebase.</description>
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      <title>cast_to() — pytorch Function Reference</title>
      <link>https://repos.supermodeltools.com/pytorch/fn-common-py-cast-to.html</link>
      <description>Architecture documentation for the cast_to() function in common.py from the pytorch codebase.</description>
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      <title>check_accuracy() — pytorch Function Reference</title>
      <link>https://repos.supermodeltools.com/pytorch/fn-common-py-check-accuracy.html</link>
      <description>Architecture documentation for the check_accuracy() function in common.py from the pytorch codebase.</description>
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      <title>check_tolerance() — pytorch Function Reference</title>
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      <title>collections() — pytorch Function Reference</title>
      <link>https://repos.supermodeltools.com/pytorch/fn-common-py-collections.html</link>
      <description>Architecture documentation for the collections() function in common.py from the pytorch codebase.</description>
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      <title>coverage_experiment() — pytorch Function Reference</title>
      <link>https://repos.supermodeltools.com/pytorch/fn-common-py-coverage-experiment.html</link>
      <description>Architecture documentation for the coverage_experiment() function in common.py from the pytorch codebase.</description>
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      <title>decay_batch_exp() — pytorch Function Reference</title>
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      <description>Architecture documentation for the decay_batch_exp() function in common.py from the pytorch codebase.</description>
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      <description>Architecture documentation for the deepcopy_and_maybe_parallelize() function in common.py from the pytorch codebase.</description>
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      <title>deepcopy_model() — pytorch Function Reference</title>
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      <description>Architecture documentation for the deepcopy_model() function in common.py from the pytorch codebase.</description>
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      <description>Architecture documentation for the disable_cudagraph_models() function in common.py from the pytorch codebase.</description>
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      <description>Architecture documentation for the download_retry_decorator() function in common.py from the pytorch codebase.</description>
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      <title>_dynamo() — pytorch Function Reference</title>
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      <description>Architecture documentation for the _dynamo() function in common.py from the pytorch codebase.</description>
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      <title>empty_gpu_cache() — pytorch Function Reference</title>
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      <description>Architecture documentation for the empty_gpu_cache() function in common.py from the pytorch codebase.</description>
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      <description>Architecture documentation for the equal_nan() function in common.py from the pytorch codebase.</description>
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      <description>Architecture documentation for the exit_after() function in common.py from the pytorch codebase.</description>
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      <description>Architecture documentation for the export_aot_inductor() function in common.py from the pytorch codebase.</description>
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      <description>Architecture documentation for the export_nativert() function in common.py from the pytorch codebase.</description>
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      <title>export() — pytorch Function Reference</title>
      <link>https://repos.supermodeltools.com/pytorch/fn-common-py-export.html</link>
      <description>Architecture documentation for the export() function in common.py from the pytorch codebase.</description>
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      <description>Architecture documentation for the failing_fx2trt_models() function in common.py from the pytorch codebase.</description>
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      <description>Architecture documentation for the failing_torchinductor_models() function in common.py from the pytorch codebase.</description>
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      <title>fb() — pytorch Function Reference</title>
      <link>https://repos.supermodeltools.com/pytorch/fn-common-py-fb.html</link>
      <description>Architecture documentation for the fb() function in common.py from the pytorch codebase.</description>
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      <description>Architecture documentation for the force_amp_for_fp16_bf16_models() function in common.py from the pytorch codebase.</description>
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      <description>Architecture documentation for the force_fp16_for_bf16_models() function in common.py from the pytorch codebase.</description>
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      <description>Architecture documentation for the fp32_only_models() function in common.py from the pytorch codebase.</description>
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      <description>Architecture documentation for the get_accuracy_check_runs() function in common.py from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/fn-common-py-get-benchmark-indices.html</link>
      <description>Architecture documentation for the get_benchmark_indices() function in common.py from the pytorch codebase.</description>
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      <description>Architecture documentation for the get_dynamo_stats() function in common.py from the pytorch codebase.</description>
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      <description>Architecture documentation for the get_excess_memory() function in common.py from the pytorch codebase.</description>
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      <description>Architecture documentation for the get_fsdp_auto_wrap_policy() function in common.py from the pytorch codebase.</description>
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      <title>get_iou_threshold() — pytorch Function Reference</title>
      <link>https://repos.supermodeltools.com/pytorch/fn-common-py-get-iou-threshold.html</link>
      <description>Architecture documentation for the get_iou_threshold() function in common.py from the pytorch codebase.</description>
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      <title>get_peak_memory() — pytorch Function Reference</title>
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      <description>Architecture documentation for the get_peak_memory() function in common.py from the pytorch codebase.</description>
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      <title>get_suite_from_model_iter_fn() — pytorch Function Reference</title>
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      <description>Architecture documentation for the get_suite_from_model_iter_fn() function in common.py from the pytorch codebase.</description>
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      <description>Architecture documentation for the get_tolerance_and_cosine_flag() function in common.py from the pytorch codebase.</description>
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      <description>Architecture documentation for the guard_on_nn_module_models() function in common.py from the pytorch codebase.</description>
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      <title>help() — pytorch Function Reference</title>
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      <description>Architecture documentation for the init_optimizer() function in common.py from the pytorch codebase.</description>
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      <description>Architecture documentation for the __init__() function in common.py from the pytorch codebase.</description>
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      <description>Architecture documentation for the inline_inbuilt_nn_modules_models() function in common.py from the pytorch codebase.</description>
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      <title>INTERNAL_CI_SKIP_DYNAMIC_BATCH_ONLY() — pytorch Function Reference</title>
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      <description>Architecture documentation for the INTERNAL_CI_SKIP_DYNAMIC_BATCH_ONLY() function in common.py from the pytorch codebase.</description>
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      <title>iter_models() — pytorch Function Reference</title>
      <link>https://repos.supermodeltools.com/pytorch/fn-common-py-iter-models.html</link>
      <description>Architecture documentation for the iter_models() function in common.py from the pytorch codebase.</description>
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      <title>latency_experiment_summary() — pytorch Function Reference</title>
      <link>https://repos.supermodeltools.com/pytorch/fn-common-py-latency-experiment-summary.html</link>
      <description>Architecture documentation for the latency_experiment_summary() function in common.py from the pytorch codebase.</description>
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      <title>latency_experiment() — pytorch Function Reference</title>
      <link>https://repos.supermodeltools.com/pytorch/fn-common-py-latency-experiment.html</link>
      <description>Architecture documentation for the latency_experiment() function in common.py from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/fn-common-py-latency-experiment.html</guid>
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      <title>load() — pytorch Function Reference</title>
      <link>https://repos.supermodeltools.com/pytorch/fn-common-py-load-2.html</link>
      <description>Architecture documentation for the load() function in common.py from the pytorch codebase.</description>
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      <title>load() — pytorch Function Reference</title>
      <link>https://repos.supermodeltools.com/pytorch/fn-common-py-load-3.html</link>
      <description>Architecture documentation for the load() function in common.py from the pytorch codebase.</description>
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      <title>load_model_from_path() — pytorch Function Reference</title>
      <link>https://repos.supermodeltools.com/pytorch/fn-common-py-load-model-from-path.html</link>
      <description>Architecture documentation for the load_model_from_path() function in common.py from the pytorch codebase.</description>
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      <title>load_yaml_file() — pytorch Function Reference</title>
      <link>https://repos.supermodeltools.com/pytorch/fn-common-py-load-yaml-file.html</link>
      <description>Architecture documentation for the load_yaml_file() function in common.py from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/fn-common-py-load-yaml-file.html</guid>
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      <title>load() — pytorch Function Reference</title>
      <link>https://repos.supermodeltools.com/pytorch/fn-common-py-load.html</link>
      <description>Architecture documentation for the load() function in common.py from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/fn-common-py-load.html</guid>
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      <title>log_operator_inputs() — pytorch Function Reference</title>
      <link>https://repos.supermodeltools.com/pytorch/fn-common-py-log-operator-inputs.html</link>
      <description>Architecture documentation for the log_operator_inputs() function in common.py from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/fn-common-py-log-operator-inputs.html</guid>
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      <title>main() — pytorch Function Reference</title>
      <link>https://repos.supermodeltools.com/pytorch/fn-common-py-main.html</link>
      <description>Architecture documentation for the main() function in common.py from the pytorch codebase.</description>
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      <title>maybe_cast() — pytorch Function Reference</title>
      <link>https://repos.supermodeltools.com/pytorch/fn-common-py-maybe-cast.html</link>
      <description>Architecture documentation for the maybe_cast() function in common.py from the pytorch codebase.</description>
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      <title>maybe_fresh_cache() — pytorch Function Reference</title>
      <link>https://repos.supermodeltools.com/pytorch/fn-common-py-maybe-fresh-cache.html</link>
      <description>Architecture documentation for the maybe_fresh_cache() function in common.py from the pytorch codebase.</description>
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      <title>maybe_init_distributed() — pytorch Function Reference</title>
      <link>https://repos.supermodeltools.com/pytorch/fn-common-py-maybe-init-distributed.html</link>
      <description>Architecture documentation for the maybe_init_distributed() function in common.py from the pytorch codebase.</description>
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      <title>maybe_mark_step() — pytorch Function Reference</title>
      <link>https://repos.supermodeltools.com/pytorch/fn-common-py-maybe-mark-step.html</link>
      <description>Architecture documentation for the maybe_mark_step() function in common.py from the pytorch codebase.</description>
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      <title>maybe_preserve_compile_debug() — pytorch Function Reference</title>
      <link>https://repos.supermodeltools.com/pytorch/fn-common-py-maybe-preserve-compile-debug.html</link>
      <description>Architecture documentation for the maybe_preserve_compile_debug() function in common.py from the pytorch codebase.</description>
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      <title>maybe_snapshot_memory() — pytorch Function Reference</title>
      <link>https://repos.supermodeltools.com/pytorch/fn-common-py-maybe-snapshot-memory.html</link>
      <description>Architecture documentation for the maybe_snapshot_memory() function in common.py from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/fn-common-py-maybe-snapshot-memory.html</guid>
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      <title>minify_model() — pytorch Function Reference</title>
      <link>https://repos.supermodeltools.com/pytorch/fn-common-py-minify-model.html</link>
      <description>Architecture documentation for the minify_model() function in common.py from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/fn-common-py-minify-model.html</guid>
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      <title>model_specified_by_path() — pytorch Function Reference</title>
      <link>https://repos.supermodeltools.com/pytorch/fn-common-py-model-specified-by-path.html</link>
      <description>Architecture documentation for the model_specified_by_path() function in common.py from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/fn-common-py-model-specified-by-path.html</guid>
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      <title>non_deterministic_models() — pytorch Function Reference</title>
      <link>https://repos.supermodeltools.com/pytorch/fn-common-py-non-deterministic-models.html</link>
      <description>Architecture documentation for the non_deterministic_models() function in common.py from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/fn-common-py-non-deterministic-models.html</guid>
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      <title>_normalize_bench_inputs() — pytorch Function Reference</title>
      <link>https://repos.supermodeltools.com/pytorch/fn-common-py-normalize-bench-inputs.html</link>
      <description>Architecture documentation for the _normalize_bench_inputs() function in common.py from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/fn-common-py-normalize-bench-inputs.html</guid>
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      <title>nothing() — pytorch Function Reference</title>
      <link>https://repos.supermodeltools.com/pytorch/fn-common-py-nothing.html</link>
      <description>Architecture documentation for the nothing() function in common.py from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/fn-common-py-nothing.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>null_experiment() — pytorch Function Reference</title>
      <link>https://repos.supermodeltools.com/pytorch/fn-common-py-null-experiment.html</link>
      <description>Architecture documentation for the null_experiment() function in common.py from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/fn-common-py-null-experiment.html</guid>
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      <title>optimizer_step() — pytorch Function Reference</title>
      <link>https://repos.supermodeltools.com/pytorch/fn-common-py-optimizer-step.html</link>
      <description>Architecture documentation for the optimizer_step() function in common.py from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/fn-common-py-optimizer-step.html</guid>
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      <title>optimizer_zero_grad() — pytorch Function Reference</title>
      <link>https://repos.supermodeltools.com/pytorch/fn-common-py-optimizer-zero-grad.html</link>
      <description>Architecture documentation for the optimizer_zero_grad() function in common.py from the pytorch codebase.</description>
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      <title>output_csv() — pytorch Function Reference</title>
      <link>https://repos.supermodeltools.com/pytorch/fn-common-py-output-csv.html</link>
      <description>Architecture documentation for the output_csv() function in common.py from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/fn-common-py-output-csv.html</guid>
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      <title>output_json() — pytorch Function Reference</title>
      <link>https://repos.supermodeltools.com/pytorch/fn-common-py-output-json.html</link>
      <description>Architecture documentation for the output_json() function in common.py from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/fn-common-py-output-json.html</guid>
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      <title>output_signpost() — pytorch Function Reference</title>
      <link>https://repos.supermodeltools.com/pytorch/fn-common-py-output-signpost.html</link>
      <description>Architecture documentation for the output_signpost() function in common.py from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/fn-common-py-output-signpost.html</guid>
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      <title>overhead_experiment() — pytorch Function Reference</title>
      <link>https://repos.supermodeltools.com/pytorch/fn-common-py-overhead-experiment.html</link>
      <description>Architecture documentation for the overhead_experiment() function in common.py from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/fn-common-py-overhead-experiment.html</guid>
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      <title>parse_args() — pytorch Function Reference</title>
      <link>https://repos.supermodeltools.com/pytorch/fn-common-py-parse-args.html</link>
      <description>Architecture documentation for the parse_args() function in common.py from the pytorch codebase.</description>
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      <title>patch_torch_manual_seed() — pytorch Function Reference</title>
      <link>https://repos.supermodeltools.com/pytorch/fn-common-py-patch-torch-manual-seed.html</link>
      <description>Architecture documentation for the patch_torch_manual_seed() function in common.py from the pytorch codebase.</description>
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      <title>print_aten_ops() — pytorch Function Reference</title>
      <link>https://repos.supermodeltools.com/pytorch/fn-common-py-print-aten-ops.html</link>
      <description>Architecture documentation for the print_aten_ops() function in common.py from the pytorch codebase.</description>
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      <title>print_fx() — pytorch Function Reference</title>
      <link>https://repos.supermodeltools.com/pytorch/fn-common-py-print-fx.html</link>
      <description>Architecture documentation for the print_fx() function in common.py from the pytorch codebase.</description>
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      <title>print_summary() — pytorch Function Reference</title>
      <link>https://repos.supermodeltools.com/pytorch/fn-common-py-print-summary-2.html</link>
      <description>Architecture documentation for the print_summary() function in common.py from the pytorch codebase.</description>
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      <title>print_summary_table() — pytorch Function Reference</title>
      <link>https://repos.supermodeltools.com/pytorch/fn-common-py-print-summary-table.html</link>
      <description>Architecture documentation for the print_summary_table() function in common.py from the pytorch codebase.</description>
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      <title>print_summary() — pytorch Function Reference</title>
      <link>https://repos.supermodeltools.com/pytorch/fn-common-py-print-summary.html</link>
      <description>Architecture documentation for the print_summary() function in common.py from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/fn-common-py-print-summary.html</guid>
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      <title>process_caching_precompile() — pytorch Function Reference</title>
      <link>https://repos.supermodeltools.com/pytorch/fn-common-py-process-caching-precompile.html</link>
      <description>Architecture documentation for the process_caching_precompile() function in common.py from the pytorch codebase.</description>
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      <title>process_entry() — pytorch Function Reference</title>
      <link>https://repos.supermodeltools.com/pytorch/fn-common-py-process-entry.html</link>
      <description>Architecture documentation for the process_entry() function in common.py from the pytorch codebase.</description>
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      <title>_produce_dynamic_shapes_for_export() — pytorch Function Reference</title>
      <link>https://repos.supermodeltools.com/pytorch/fn-common-py-produce-dynamic-shapes-for-export.html</link>
      <description>Architecture documentation for the _produce_dynamic_shapes_for_export() function in common.py from the pytorch codebase.</description>
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      <title>pytorch() — pytorch Function Reference</title>
      <link>https://repos.supermodeltools.com/pytorch/fn-common-py-pytorch.html</link>
      <description>Architecture documentation for the pytorch() function in common.py from the pytorch codebase.</description>
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      <title>randomize_input() — pytorch Function Reference</title>
      <link>https://repos.supermodeltools.com/pytorch/fn-common-py-randomize-input.html</link>
      <description>Architecture documentation for the randomize_input() function in common.py from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/fn-common-py-randomize-input.html</guid>
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      <title>read_batch_size_from_file() — pytorch Function Reference</title>
      <link>https://repos.supermodeltools.com/pytorch/fn-common-py-read-batch-size-from-file.html</link>
      <description>Architecture documentation for the read_batch_size_from_file() function in common.py from the pytorch codebase.</description>
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      <title>recompile_profiler_experiment() — pytorch Function Reference</title>
      <link>https://repos.supermodeltools.com/pytorch/fn-common-py-recompile-profiler-experiment.html</link>
      <description>Architecture documentation for the recompile_profiler_experiment() function in common.py from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/fn-common-py-recompile-profiler-experiment.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/fn-common-py-register-dataclass-output-as-pytree.html</link>
      <description>Architecture documentation for the _register_dataclass_output_as_pytree() function in common.py from the pytorch codebase.</description>
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      <title>reset_counters() — pytorch Function Reference</title>
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      <description>Architecture documentation for the reset_counters() function in common.py from the pytorch codebase.</description>
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      <title>run_n_iterations() — pytorch Function Reference</title>
      <link>https://repos.supermodeltools.com/pytorch/fn-common-py-run-n-iterations.html</link>
      <description>Architecture documentation for the run_n_iterations() function in common.py from the pytorch codebase.</description>
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      <title>run_one_model() — pytorch Function Reference</title>
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      <description>Architecture documentation for the run_one_model() function in common.py from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/fn-common-py-run-performance-test-non-alternate.html</link>
      <description>Architecture documentation for the run_performance_test_non_alternate() function in common.py from the pytorch codebase.</description>
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      <description>Architecture documentation for the run_performance_test() function in common.py from the pytorch codebase.</description>
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      <title>run() — pytorch Function Reference</title>
      <link>https://repos.supermodeltools.com/pytorch/fn-common-py-run.html</link>
      <description>Architecture documentation for the run() function in common.py from the pytorch codebase.</description>
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      <title>RuntimeError() — pytorch Function Reference</title>
      <link>https://repos.supermodeltools.com/pytorch/fn-common-py-runtimeerror.html</link>
      <description>Architecture documentation for the RuntimeError() function in common.py from the pytorch codebase.</description>
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      <title>scale() — pytorch Function Reference</title>
      <link>https://repos.supermodeltools.com/pytorch/fn-common-py-scale.html</link>
      <description>Architecture documentation for the scale() function in common.py from the pytorch codebase.</description>
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      <title>setup_amp() — pytorch Function Reference</title>
      <link>https://repos.supermodeltools.com/pytorch/fn-common-py-setup-amp.html</link>
      <description>Architecture documentation for the setup_amp() function in common.py from the pytorch codebase.</description>
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      <title>setup_determinism_for_accuracy_test() — pytorch Function Reference</title>
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      <description>Architecture documentation for the setup_determinism_for_accuracy_test() function in common.py from the pytorch codebase.</description>
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      <title>should_diff_branch() — pytorch Function Reference</title>
      <link>https://repos.supermodeltools.com/pytorch/fn-common-py-should-diff-branch.html</link>
      <description>Architecture documentation for the should_diff_branch() function in common.py from the pytorch codebase.</description>
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      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>skip_accuracy_check_as_eager_non_deterministic() — pytorch Function Reference</title>
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      <description>Architecture documentation for the skip_accuracy_check_as_eager_non_deterministic() function in common.py from the pytorch codebase.</description>
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      <title>skip_accuracy_checks_large_models_dashboard() — pytorch Function Reference</title>
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      <description>Architecture documentation for the skip_accuracy_checks_large_models_dashboard() function in common.py from the pytorch codebase.</description>
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      <title>skip_models_due_to_control_flow() — pytorch Function Reference</title>
      <link>https://repos.supermodeltools.com/pytorch/fn-common-py-skip-models-due-to-control-flow.html</link>
      <description>Architecture documentation for the skip_models_due_to_control_flow() function in common.py from the pytorch codebase.</description>
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      <title>skip_models_due_to_export_not_supported() — pytorch Function Reference</title>
      <link>https://repos.supermodeltools.com/pytorch/fn-common-py-skip-models-due-to-export-not-supported.html</link>
      <description>Architecture documentation for the skip_models_due_to_export_not_supported() function in common.py from the pytorch codebase.</description>
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      <title>skip_models_for_cpu_aarch64() — pytorch Function Reference</title>
      <link>https://repos.supermodeltools.com/pytorch/fn-common-py-skip-models-for-cpu-aarch64.html</link>
      <description>Architecture documentation for the skip_models_for_cpu_aarch64() function in common.py from the pytorch codebase.</description>
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      <title>skip_models_for_cpu() — pytorch Function Reference</title>
      <link>https://repos.supermodeltools.com/pytorch/fn-common-py-skip-models-for-cpu.html</link>
      <description>Architecture documentation for the skip_models_for_cpu() function in common.py from the pytorch codebase.</description>
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      <title>skip_models_for_cuda() — pytorch Function Reference</title>
      <link>https://repos.supermodeltools.com/pytorch/fn-common-py-skip-models-for-cuda.html</link>
      <description>Architecture documentation for the skip_models_for_cuda() function in common.py from the pytorch codebase.</description>
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      <title>skip_models_for_freezing_cpu() — pytorch Function Reference</title>
      <link>https://repos.supermodeltools.com/pytorch/fn-common-py-skip-models-for-freezing-cpu.html</link>
      <description>Architecture documentation for the skip_models_for_freezing_cpu() function in common.py from the pytorch codebase.</description>
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      <title>skip_models_for_freezing_cuda() — pytorch Function Reference</title>
      <link>https://repos.supermodeltools.com/pytorch/fn-common-py-skip-models-for-freezing-cuda.html</link>
      <description>Architecture documentation for the skip_models_for_freezing_cuda() function in common.py from the pytorch codebase.</description>
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      <title>skip_models_for_xpu() — pytorch Function Reference</title>
      <link>https://repos.supermodeltools.com/pytorch/fn-common-py-skip-models-for-xpu.html</link>
      <description>Architecture documentation for the skip_models_for_xpu() function in common.py from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/fn-common-py-skip-models-for-xpu.html</guid>
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      <title>skip_models() — pytorch Function Reference</title>
      <link>https://repos.supermodeltools.com/pytorch/fn-common-py-skip-models.html</link>
      <description>Architecture documentation for the skip_models() function in common.py from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/fn-common-py-skip-models.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>skip_multiprocess_models() — pytorch Function Reference</title>
      <link>https://repos.supermodeltools.com/pytorch/fn-common-py-skip-multiprocess-models.html</link>
      <description>Architecture documentation for the skip_multiprocess_models() function in common.py from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/fn-common-py-skip-multiprocess-models.html</guid>
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      <title>skip_not_suitable_for_training_models() — pytorch Function Reference</title>
      <link>https://repos.supermodeltools.com/pytorch/fn-common-py-skip-not-suitable-for-training-models.html</link>
      <description>Architecture documentation for the skip_not_suitable_for_training_models() function in common.py from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/fn-common-py-skip-not-suitable-for-training-models.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>slow_models() — pytorch Function Reference</title>
      <link>https://repos.supermodeltools.com/pytorch/fn-common-py-slow-models.html</link>
      <description>Architecture documentation for the slow_models() function in common.py from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/fn-common-py-slow-models.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>speedup_experiment_fx2trt() — pytorch Function Reference</title>
      <link>https://repos.supermodeltools.com/pytorch/fn-common-py-speedup-experiment-fx2trt.html</link>
      <description>Architecture documentation for the speedup_experiment_fx2trt() function in common.py from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/fn-common-py-speedup-experiment-fx2trt.html</guid>
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      <title>speedup_experiment() — pytorch Function Reference</title>
      <link>https://repos.supermodeltools.com/pytorch/fn-common-py-speedup-experiment.html</link>
      <description>Architecture documentation for the speedup_experiment() function in common.py from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/fn-common-py-speedup-experiment.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>summarize_graph_break() — pytorch Function Reference</title>
      <link>https://repos.supermodeltools.com/pytorch/fn-common-py-summarize-graph-break.html</link>
      <description>Architecture documentation for the summarize_graph_break() function in common.py from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/fn-common-py-summarize-graph-break.html</guid>
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      <title>synchronize() — pytorch Function Reference</title>
      <link>https://repos.supermodeltools.com/pytorch/fn-common-py-synchronize.html</link>
      <description>Architecture documentation for the synchronize() function in common.py from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/fn-common-py-synchronize.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>tensor_is_on_xla() — pytorch Function Reference</title>
      <link>https://repos.supermodeltools.com/pytorch/fn-common-py-tensor-is-on-xla.html</link>
      <description>Architecture documentation for the tensor_is_on_xla() function in common.py from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/fn-common-py-tensor-is-on-xla.html</guid>
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      <title>timed() — pytorch Function Reference</title>
      <link>https://repos.supermodeltools.com/pytorch/fn-common-py-timed.html</link>
      <description>Architecture documentation for the timed() function in common.py from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/fn-common-py-timed.html</guid>
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      <title>torch_xla() — pytorch Function Reference</title>
      <link>https://repos.supermodeltools.com/pytorch/fn-common-py-torch-xla.html</link>
      <description>Architecture documentation for the torch_xla() function in common.py from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/fn-common-py-torch-xla.html</guid>
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      <title>torch() — pytorch Function Reference</title>
      <link>https://repos.supermodeltools.com/pytorch/fn-common-py-torch.html</link>
      <description>Architecture documentation for the torch() function in common.py from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/fn-common-py-torch.html</guid>
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      <title>torchscript_jit_trace() — pytorch Function Reference</title>
      <link>https://repos.supermodeltools.com/pytorch/fn-common-py-torchscript-jit-trace.html</link>
      <description>Architecture documentation for the torchscript_jit_trace() function in common.py from the pytorch codebase.</description>
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      <title>trace_handler() — pytorch Function Reference</title>
      <link>https://repos.supermodeltools.com/pytorch/fn-common-py-trace-handler.html</link>
      <description>Architecture documentation for the trace_handler() function in common.py from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/fn-common-py-trace-handler.html</guid>
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      <title>try_script() — pytorch Function Reference</title>
      <link>https://repos.supermodeltools.com/pytorch/fn-common-py-try-script.html</link>
      <description>Architecture documentation for the try_script() function in common.py from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/fn-common-py-try-script.html</guid>
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      <title>use_iou_for_bool_accuracy() — pytorch Function Reference</title>
      <link>https://repos.supermodeltools.com/pytorch/fn-common-py-use-iou-for-bool-accuracy.html</link>
      <description>Architecture documentation for the use_iou_for_bool_accuracy() function in common.py from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/fn-common-py-use-iou-for-bool-accuracy.html</guid>
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      <title>use_larger_multiplier_for_smaller_tensor() — pytorch Function Reference</title>
      <link>https://repos.supermodeltools.com/pytorch/fn-common-py-use-larger-multiplier-for-smaller-tensor.html</link>
      <description>Architecture documentation for the use_larger_multiplier_for_smaller_tensor() function in common.py from the pytorch codebase.</description>
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      <title>validate_model() — pytorch Function Reference</title>
      <link>https://repos.supermodeltools.com/pytorch/fn-common-py-validate-model.html</link>
      <description>Architecture documentation for the validate_model() function in common.py from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/fn-common-py-validate-model.html</guid>
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      <title>very_slow_models() — pytorch Function Reference</title>
      <link>https://repos.supermodeltools.com/pytorch/fn-common-py-very-slow-models.html</link>
      <description>Architecture documentation for the very_slow_models() function in common.py from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/fn-common-py-very-slow-models.html</guid>
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      <title>write_csv_when_exception() — pytorch Function Reference</title>
      <link>https://repos.supermodeltools.com/pytorch/fn-common-py-write-csv-when-exception.html</link>
      <description>Architecture documentation for the write_csv_when_exception() function in common.py from the pytorch codebase.</description>
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      <title>write_outputs() — pytorch Function Reference</title>
      <link>https://repos.supermodeltools.com/pytorch/fn-common-py-write-outputs.html</link>
      <description>Architecture documentation for the write_outputs() function in common.py from the pytorch codebase.</description>
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      <title>xla() — pytorch Function Reference</title>
      <link>https://repos.supermodeltools.com/pytorch/fn-common-py-xla.html</link>
      <description>Architecture documentation for the xla() function in common.py from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/fn-common-py-xla.html</guid>
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      <title>base_times() — pytorch Function Reference</title>
      <link>https://repos.supermodeltools.com/pytorch/fn-compare-fastrnn-results-py-base-times.html</link>
      <description>Architecture documentation for the base_times() function in compare-fastrnn-results.py from the pytorch codebase.</description>
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      <title>construct_name() — pytorch Function Reference</title>
      <link>https://repos.supermodeltools.com/pytorch/fn-compare-fastrnn-results-py-construct-name.html</link>
      <description>Architecture documentation for the construct_name() function in compare-fastrnn-results.py from the pytorch codebase.</description>
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      <title>diff_times() — pytorch Function Reference</title>
      <link>https://repos.supermodeltools.com/pytorch/fn-compare-fastrnn-results-py-diff-times.html</link>
      <description>Architecture documentation for the diff_times() function in compare-fastrnn-results.py from the pytorch codebase.</description>
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      <title>get_times() — pytorch Function Reference</title>
      <link>https://repos.supermodeltools.com/pytorch/fn-compare-fastrnn-results-py-get-times.html</link>
      <description>Architecture documentation for the get_times() function in compare-fastrnn-results.py from the pytorch codebase.</description>
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      <title>header_fmt_str() — pytorch Function Reference</title>
      <link>https://repos.supermodeltools.com/pytorch/fn-compare-fastrnn-results-py-header-fmt-str.html</link>
      <description>Architecture documentation for the header_fmt_str() function in compare-fastrnn-results.py from the pytorch codebase.</description>
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      <title>print() — pytorch Function Reference</title>
      <link>https://repos.supermodeltools.com/pytorch/fn-compare-fastrnn-results-py-print.html</link>
      <description>Architecture documentation for the print() function in compare-fastrnn-results.py from the pytorch codebase.</description>
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      <title>ValueError() — pytorch Function Reference</title>
      <link>https://repos.supermodeltools.com/pytorch/fn-compare-fastrnn-results-py-valueerror.html</link>
      <description>Architecture documentation for the ValueError() function in compare-fastrnn-results.py from the pytorch codebase.</description>
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      <title>main() — pytorch Function Reference</title>
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      <description>Architecture documentation for the main() function in configure.py from the pytorch codebase.</description>
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      <title>main() — pytorch Function Reference</title>
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      <description>Architecture documentation for the main() function in configure.py from the pytorch codebase.</description>
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      <description>Architecture documentation for the sys() function in configure.py from the pytorch codebase.</description>
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      <description>Architecture documentation for the benchmark_dataloader() function in dataloader_benchmark.py from the pytorch codebase.</description>
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      <description>Architecture documentation for the create_model() function in dataloader_benchmark.py from the pytorch codebase.</description>
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      <description>Architecture documentation for the get_memory_usage() function in dataloader_benchmark.py from the pytorch codebase.</description>
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      <description>Architecture documentation for the main() function in dataloader_benchmark.py from the pytorch codebase.</description>
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      <description>Architecture documentation for the print_detailed_memory() function in dataloader_benchmark.py from the pytorch codebase.</description>
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      <description>Architecture documentation for the load() function in diff.py from the pytorch codebase.</description>
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      <description>Architecture documentation for the main() function in diff.py from the pytorch codebase.</description>
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      <description>Architecture documentation for the cleanup() function in dist_util.py from the pytorch codebase.</description>
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      <description>Architecture documentation for the forward() function in dist_util.py from the pytorch codebase.</description>
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      <description>Architecture documentation for the forward() function in dist_util.py from the pytorch codebase.</description>
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      <description>Architecture documentation for the forward() function in dist_util.py from the pytorch codebase.</description>
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      <description>Architecture documentation for the get_model() function in dist_util.py from the pytorch codebase.</description>
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      <description>Architecture documentation for the __init__() function in dist_util.py from the pytorch codebase.</description>
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      <description>Architecture documentation for the __init__() function in dist_util.py from the pytorch codebase.</description>
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      <description>Architecture documentation for the __init__() function in dist_util.py from the pytorch codebase.</description>
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      <description>Architecture documentation for the model_iter_fn() function in dist_util.py from the pytorch codebase.</description>
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      <description>Architecture documentation for the setup() function in dist_util.py from the pytorch codebase.</description>
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      <description>Architecture documentation for the torchbench() function in dist_util.py from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/fn-distributed-py-common.html</link>
      <description>Architecture documentation for the common() function in distributed.py from the pytorch codebase.</description>
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      <description>Architecture documentation for the parser() function in distributed.py from the pytorch codebase.</description>
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      <description>Architecture documentation for the run_model() function in distributed.py from the pytorch codebase.</description>
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      <description>Architecture documentation for the torchviz_model() function in distributed.py from the pytorch codebase.</description>
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      <description>Architecture documentation for the main() function in dynamo_guard_build.py from the pytorch codebase.</description>
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      <description>Architecture documentation for the bench() function in dynamo_guard_eval.py from the pytorch codebase.</description>
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      <description>Architecture documentation for the main() function in dynamo_guard_eval.py from the pytorch codebase.</description>
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      <description>Architecture documentation for the main() function in dynamo_microbenchmarks.py from the pytorch codebase.</description>
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      <description>Architecture documentation for the huge_graph() function in fx_microbenchmarks.py from the pytorch codebase.</description>
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      <description>Architecture documentation for the _aligned_suffix() function in generate_kernels.py from the pytorch codebase.</description>
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      <description>Architecture documentation for the get_all() function in generate_kernels.py from the pytorch codebase.</description>
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      <title>get_all() — pytorch Function Reference</title>
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      <description>Architecture documentation for the get_all() function in generate_kernels.py from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/fn-generate-kernels-py-impl-group-2.html</link>
      <description>Architecture documentation for the impl_group() function in generate_kernels.py from the pytorch codebase.</description>
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      <title>impl_group() — pytorch Function Reference</title>
      <link>https://repos.supermodeltools.com/pytorch/fn-generate-kernels-py-impl-group.html</link>
      <description>Architecture documentation for the impl_group() function in generate_kernels.py from the pytorch codebase.</description>
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      <title>main() — pytorch Function Reference</title>
      <link>https://repos.supermodeltools.com/pytorch/fn-generate-kernels-py-main.html</link>
      <description>Architecture documentation for the main() function in generate_kernels.py from the pytorch codebase.</description>
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      <title>name() — pytorch Function Reference</title>
      <link>https://repos.supermodeltools.com/pytorch/fn-generate-kernels-py-name-2.html</link>
      <description>Architecture documentation for the name() function in generate_kernels.py from the pytorch codebase.</description>
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      <title>name() — pytorch Function Reference</title>
      <link>https://repos.supermodeltools.com/pytorch/fn-generate-kernels-py-name.html</link>
      <description>Architecture documentation for the name() function in generate_kernels.py from the pytorch codebase.</description>
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      <title>parser() — pytorch Function Reference</title>
      <link>https://repos.supermodeltools.com/pytorch/fn-generate-kernels-py-parser.html</link>
      <description>Architecture documentation for the parser() function in generate_kernels.py from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/fn-generate-kernels-py-post-init-2.html</link>
      <description>Architecture documentation for the __post_init__() function in generate_kernels.py from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/fn-generate-kernels-py-post-init.html</link>
      <description>Architecture documentation for the __post_init__() function in generate_kernels.py from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/fn-generate-kernels-py-write-decl-impl.html</link>
      <description>Architecture documentation for the write_decl_impl() function in generate_kernels.py from the pytorch codebase.</description>
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      <title>contiguous() — pytorch Function Reference</title>
      <link>https://repos.supermodeltools.com/pytorch/fn-generate-test-torchscripts-py-contiguous.html</link>
      <description>Architecture documentation for the contiguous() function in generate_test_torchscripts.py from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/fn-generate-test-torchscripts-py-contiguous.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/fn-generate-test-torchscripts-py-contiguouschannelslast.html</link>
      <description>Architecture documentation for the contiguousChannelsLast() function in generate_test_torchscripts.py from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/fn-generate-test-torchscripts-py-contiguouschannelslast3d.html</link>
      <description>Architecture documentation for the contiguousChannelsLast3d() function in generate_test_torchscripts.py from the pytorch codebase.</description>
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      <title>conv2d() — pytorch Function Reference</title>
      <link>https://repos.supermodeltools.com/pytorch/fn-generate-test-torchscripts-py-conv2d.html</link>
      <description>Architecture documentation for the conv2d() function in generate_test_torchscripts.py from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/fn-generate-test-torchscripts-py-conv3d.html</link>
      <description>Architecture documentation for the conv3d() function in generate_test_torchscripts.py from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/fn-generate-test-torchscripts-py-eqbool.html</link>
      <description>Architecture documentation for the eqBool() function in generate_test_torchscripts.py from the pytorch codebase.</description>
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      <description>Architecture documentation for the eqDictFloatKeyIntValue() function in generate_test_torchscripts.py from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/fn-generate-test-torchscripts-py-eqdictintkeyintvalue.html</link>
      <description>Architecture documentation for the eqDictIntKeyIntValue() function in generate_test_torchscripts.py from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/fn-generate-test-torchscripts-py-eqdictstrkeyintvalue.html</link>
      <description>Architecture documentation for the eqDictStrKeyIntValue() function in generate_test_torchscripts.py from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/fn-generate-test-torchscripts-py-eqfloat.html</link>
      <description>Architecture documentation for the eqFloat() function in generate_test_torchscripts.py from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/fn-generate-test-torchscripts-py-eqint.html</link>
      <description>Architecture documentation for the eqInt() function in generate_test_torchscripts.py from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/fn-generate-test-torchscripts-py-eqstr.html</link>
      <description>Architecture documentation for the eqStr() function in generate_test_torchscripts.py from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/fn-generate-test-torchscripts-py-eqstr.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/fn-generate-test-torchscripts-py-eqtensor.html</link>
      <description>Architecture documentation for the eqTensor() function in generate_test_torchscripts.py from the pytorch codebase.</description>
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      <title>forward() — pytorch Function Reference</title>
      <link>https://repos.supermodeltools.com/pytorch/fn-generate-test-torchscripts-py-forward.html</link>
      <description>Architecture documentation for the forward() function in generate_test_torchscripts.py from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/fn-generate-test-torchscripts-py-inteq0none.html</link>
      <description>Architecture documentation for the intEq0None() function in generate_test_torchscripts.py from the pytorch codebase.</description>
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      <title>listBoolConjunction() — pytorch Function Reference</title>
      <link>https://repos.supermodeltools.com/pytorch/fn-generate-test-torchscripts-py-listboolconjunction.html</link>
      <description>Architecture documentation for the listBoolConjunction() function in generate_test_torchscripts.py from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/fn-generate-test-torchscripts-py-listbooldisjunction.html</link>
      <description>Architecture documentation for the listBoolDisjunction() function in generate_test_torchscripts.py from the pytorch codebase.</description>
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      <title>listIntSumReturnTuple() — pytorch Function Reference</title>
      <link>https://repos.supermodeltools.com/pytorch/fn-generate-test-torchscripts-py-listintsumreturntuple.html</link>
      <description>Architecture documentation for the listIntSumReturnTuple() function in generate_test_torchscripts.py from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/fn-generate-test-torchscripts-py-newemptyshapewithitem.html</link>
      <description>Architecture documentation for the newEmptyShapeWithItem() function in generate_test_torchscripts.py from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/fn-generate-test-torchscripts-py-optionalintisnone.html</link>
      <description>Architecture documentation for the optionalIntIsNone() function in generate_test_torchscripts.py from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/fn-generate-test-torchscripts-py-scriptandsave.html</link>
      <description>Architecture documentation for the scriptAndSave() function in generate_test_torchscripts.py from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/fn-generate-test-torchscripts-py-str3concat.html</link>
      <description>Architecture documentation for the str3Concat() function in generate_test_torchscripts.py from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/fn-generate-test-torchscripts-py-testaliaswithoffset.html</link>
      <description>Architecture documentation for the testAliasWithOffset() function in generate_test_torchscripts.py from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/fn-generate-test-torchscripts-py-testnoncontiguous.html</link>
      <description>Architecture documentation for the testNonContiguous() function in generate_test_torchscripts.py from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/fn-generate-test-torchscripts-py-tupleintsumreturntuple.html</link>
      <description>Architecture documentation for the tupleIntSumReturnTuple() function in generate_test_torchscripts.py from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/fn-generate-wrapper-py-condition.html</link>
      <description>Architecture documentation for the condition() function in generate-wrapper.py from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/fn-huggingface-llm-models-py-get-model-and-inputs-2.html</link>
      <description>Architecture documentation for the get_model_and_inputs() function in huggingface_llm_models.py from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/fn-huggingface-llm-models-py-get-model-and-inputs-3.html</link>
      <description>Architecture documentation for the get_model_and_inputs() function in huggingface_llm_models.py from the pytorch codebase.</description>
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      <description>Architecture documentation for the get_model_and_inputs() function in huggingface_llm_models.py from the pytorch codebase.</description>
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      <description>Architecture documentation for the pip_install() function in huggingface_llm_models.py from the pytorch codebase.</description>
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      <description>Architecture documentation for the print() function in huggingface_llm_models.py from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/fn-huggingface-llm-models-py-transformers.html</link>
      <description>Architecture documentation for the transformers() function in huggingface_llm_models.py from the pytorch codebase.</description>
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      <description>Architecture documentation for the _accuracy() function in huggingface.py from the pytorch codebase.</description>
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      <description>Architecture documentation for the AssertionError() function in huggingface.py from the pytorch codebase.</description>
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      <description>Architecture documentation for the cls() function in huggingface.py from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/fn-huggingface-py-cls.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>common() — pytorch Function Reference</title>
      <link>https://repos.supermodeltools.com/pytorch/fn-huggingface-py-common.html</link>
      <description>Architecture documentation for the common() function in huggingface.py from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/fn-huggingface-py-common.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>compute_loss() — pytorch Function Reference</title>
      <link>https://repos.supermodeltools.com/pytorch/fn-huggingface-py-compute-loss.html</link>
      <description>Architecture documentation for the compute_loss() function in huggingface.py from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/fn-huggingface-py-compute-loss.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>_config() — pytorch Function Reference</title>
      <link>https://repos.supermodeltools.com/pytorch/fn-huggingface-py-config.html</link>
      <description>Architecture documentation for the _config() function in huggingface.py from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/fn-huggingface-py-config.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>_download_model() — pytorch Function Reference</title>
      <link>https://repos.supermodeltools.com/pytorch/fn-huggingface-py-download-model.html</link>
      <description>Architecture documentation for the _download_model() function in huggingface.py from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/fn-huggingface-py-download-model.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>forward_and_backward_pass() — pytorch Function Reference</title>
      <link>https://repos.supermodeltools.com/pytorch/fn-huggingface-py-forward-and-backward-pass.html</link>
      <description>Architecture documentation for the forward_and_backward_pass() function in huggingface.py from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/fn-huggingface-py-forward-and-backward-pass.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>forward_pass() — pytorch Function Reference</title>
      <link>https://repos.supermodeltools.com/pytorch/fn-huggingface-py-forward-pass.html</link>
      <description>Architecture documentation for the forward_pass() function in huggingface.py from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/fn-huggingface-py-forward-pass.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>fp32_only_models() — pytorch Function Reference</title>
      <link>https://repos.supermodeltools.com/pytorch/fn-huggingface-py-fp32-only-models.html</link>
      <description>Architecture documentation for the fp32_only_models() function in huggingface.py from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/fn-huggingface-py-fp32-only-models.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>generate_inputs_for_model() — pytorch Function Reference</title>
      <link>https://repos.supermodeltools.com/pytorch/fn-huggingface-py-generate-inputs-for-model.html</link>
      <description>Architecture documentation for the generate_inputs_for_model() function in huggingface.py from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/fn-huggingface-py-generate-inputs-for-model.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>_get_model_cls_and_config() — pytorch Function Reference</title>
      <link>https://repos.supermodeltools.com/pytorch/fn-huggingface-py-get-model-cls-and-config.html</link>
      <description>Architecture documentation for the _get_model_cls_and_config() function in huggingface.py from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/fn-huggingface-py-get-model-cls-and-config.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>get_module_cls_by_model_name() — pytorch Function Reference</title>
      <link>https://repos.supermodeltools.com/pytorch/fn-huggingface-py-get-module-cls-by-model-name.html</link>
      <description>Architecture documentation for the get_module_cls_by_model_name() function in huggingface.py from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/fn-huggingface-py-get-module-cls-by-model-name.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>get_output_amp_train_process_func() — pytorch Function Reference</title>
      <link>https://repos.supermodeltools.com/pytorch/fn-huggingface-py-get-output-amp-train-process-func.html</link>
      <description>Architecture documentation for the get_output_amp_train_process_func() function in huggingface.py from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/fn-huggingface-py-get-output-amp-train-process-func.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>get_sequence_length() — pytorch Function Reference</title>
      <link>https://repos.supermodeltools.com/pytorch/fn-huggingface-py-get-sequence-length.html</link>
      <description>Architecture documentation for the get_sequence_length() function in huggingface.py from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/fn-huggingface-py-get-sequence-length.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>get_tolerance_and_cosine_flag() — pytorch Function Reference</title>
      <link>https://repos.supermodeltools.com/pytorch/fn-huggingface-py-get-tolerance-and-cosine-flag.html</link>
      <description>Architecture documentation for the get_tolerance_and_cosine_flag() function in huggingface.py from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/fn-huggingface-py-get-tolerance-and-cosine-flag.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>huggingface_llm_models() — pytorch Function Reference</title>
      <link>https://repos.supermodeltools.com/pytorch/fn-huggingface-py-huggingface-llm-models.html</link>
      <description>Architecture documentation for the huggingface_llm_models() function in huggingface.py from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/fn-huggingface-py-huggingface-llm-models.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>huggingface_main() — pytorch Function Reference</title>
      <link>https://repos.supermodeltools.com/pytorch/fn-huggingface-py-huggingface-main.html</link>
      <description>Architecture documentation for the huggingface_main() function in huggingface.py from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/fn-huggingface-py-huggingface-main.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>__init__() — pytorch Function Reference</title>
      <link>https://repos.supermodeltools.com/pytorch/fn-huggingface-py-init.html</link>
      <description>Architecture documentation for the __init__() function in huggingface.py from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/fn-huggingface-py-init.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>iter_model_names() — pytorch Function Reference</title>
      <link>https://repos.supermodeltools.com/pytorch/fn-huggingface-py-iter-model-names.html</link>
      <description>Architecture documentation for the iter_model_names() function in huggingface.py from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/fn-huggingface-py-iter-model-names.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>lines() — pytorch Function Reference</title>
      <link>https://repos.supermodeltools.com/pytorch/fn-huggingface-py-lines.html</link>
      <description>Architecture documentation for the lines() function in huggingface.py from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/fn-huggingface-py-lines.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>load_model() — pytorch Function Reference</title>
      <link>https://repos.supermodeltools.com/pytorch/fn-huggingface-py-load-model.html</link>
      <description>Architecture documentation for the load_model() function in huggingface.py from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/fn-huggingface-py-load-model.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>mod() — pytorch Function Reference</title>
      <link>https://repos.supermodeltools.com/pytorch/fn-huggingface-py-mod.html</link>
      <description>Architecture documentation for the mod() function in huggingface.py from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/fn-huggingface-py-mod.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>pick_grad() — pytorch Function Reference</title>
      <link>https://repos.supermodeltools.com/pytorch/fn-huggingface-py-pick-grad.html</link>
      <description>Architecture documentation for the pick_grad() function in huggingface.py from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/fn-huggingface-py-pick-grad.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>pip_install() — pytorch Function Reference</title>
      <link>https://repos.supermodeltools.com/pytorch/fn-huggingface-py-pip-install.html</link>
      <description>Architecture documentation for the pip_install() function in huggingface.py from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/fn-huggingface-py-pip-install.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>print() — pytorch Function Reference</title>
      <link>https://repos.supermodeltools.com/pytorch/fn-huggingface-py-print.html</link>
      <description>Architecture documentation for the print() function in huggingface.py from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/fn-huggingface-py-print.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>process_hf_reformer_output() — pytorch Function Reference</title>
      <link>https://repos.supermodeltools.com/pytorch/fn-huggingface-py-process-hf-reformer-output.html</link>
      <description>Architecture documentation for the process_hf_reformer_output() function in huggingface.py from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/fn-huggingface-py-process-hf-reformer-output.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>rand_int_tensor() — pytorch Function Reference</title>
      <link>https://repos.supermodeltools.com/pytorch/fn-huggingface-py-rand-int-tensor.html</link>
      <description>Architecture documentation for the rand_int_tensor() function in huggingface.py from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/fn-huggingface-py-rand-int-tensor.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>refresh_model_names_and_batch_sizes() — pytorch Function Reference</title>
      <link>https://repos.supermodeltools.com/pytorch/fn-huggingface-py-refresh-model-names-and-batch-sizes.html</link>
      <description>Architecture documentation for the refresh_model_names_and_batch_sizes() function in huggingface.py from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/fn-huggingface-py-refresh-model-names-and-batch-sizes.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>skip_accuracy_checks_large_models_dashboard() — pytorch Function Reference</title>
      <link>https://repos.supermodeltools.com/pytorch/fn-huggingface-py-skip-accuracy-checks-large-models-dashboard.html</link>
      <description>Architecture documentation for the skip_accuracy_checks_large_models_dashboard() function in huggingface.py from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/fn-huggingface-py-skip-accuracy-checks-large-models-dashboard.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>skip_models_due_to_control_flow() — pytorch Function Reference</title>
      <link>https://repos.supermodeltools.com/pytorch/fn-huggingface-py-skip-models-due-to-control-flow.html</link>
      <description>Architecture documentation for the skip_models_due_to_control_flow() function in huggingface.py from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/fn-huggingface-py-skip-models-due-to-control-flow.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>skip_models_for_cpu() — pytorch Function Reference</title>
      <link>https://repos.supermodeltools.com/pytorch/fn-huggingface-py-skip-models-for-cpu.html</link>
      <description>Architecture documentation for the skip_models_for_cpu() function in huggingface.py from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/fn-huggingface-py-skip-models-for-cpu.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>skip_models() — pytorch Function Reference</title>
      <link>https://repos.supermodeltools.com/pytorch/fn-huggingface-py-skip-models.html</link>
      <description>Architecture documentation for the skip_models() function in huggingface.py from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/fn-huggingface-py-skip-models.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>_skip() — pytorch Function Reference</title>
      <link>https://repos.supermodeltools.com/pytorch/fn-huggingface-py-skip.html</link>
      <description>Architecture documentation for the _skip() function in huggingface.py from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/fn-huggingface-py-skip.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>torch() — pytorch Function Reference</title>
      <link>https://repos.supermodeltools.com/pytorch/fn-huggingface-py-torch.html</link>
      <description>Architecture documentation for the torch() function in huggingface.py from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/fn-huggingface-py-torch.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>use_larger_multiplier_for_smaller_tensor() — pytorch Function Reference</title>
      <link>https://repos.supermodeltools.com/pytorch/fn-huggingface-py-use-larger-multiplier-for-smaller-tensor.html</link>
      <description>Architecture documentation for the use_larger_multiplier_for_smaller_tensor() function in huggingface.py from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/fn-huggingface-py-use-larger-multiplier-for-smaller-tensor.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>inductor_aten_bmm() — pytorch Function Reference</title>
      <link>https://repos.supermodeltools.com/pytorch/fn-inductor-bmm-py-inductor-aten-bmm.html</link>
      <description>Architecture documentation for the inductor_aten_bmm() function in inductor_bmm.py from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/fn-inductor-bmm-py-inductor-aten-bmm.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>inductor_triton_bmm() — pytorch Function Reference</title>
      <link>https://repos.supermodeltools.com/pytorch/fn-inductor-bmm-py-inductor-triton-bmm.html</link>
      <description>Architecture documentation for the inductor_triton_bmm() function in inductor_bmm.py from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/fn-inductor-bmm-py-inductor-triton-bmm.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>shapes() — pytorch Function Reference</title>
      <link>https://repos.supermodeltools.com/pytorch/fn-inductor-bmm-py-shapes.html</link>
      <description>Architecture documentation for the shapes() function in inductor_bmm.py from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/fn-inductor-bmm-py-shapes.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>test_total_time() — pytorch Function Reference</title>
      <link>https://repos.supermodeltools.com/pytorch/fn-inductor-bmm-py-test-total-time.html</link>
      <description>Architecture documentation for the test_total_time() function in inductor_bmm.py from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/fn-inductor-bmm-py-test-total-time.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>torch_bmm() — pytorch Function Reference</title>
      <link>https://repos.supermodeltools.com/pytorch/fn-inductor-bmm-py-torch-bmm.html</link>
      <description>Architecture documentation for the torch_bmm() function in inductor_bmm.py from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/fn-inductor-bmm-py-torch-bmm.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>inductor_scatter_add() — pytorch Function Reference</title>
      <link>https://repos.supermodeltools.com/pytorch/fn-inductor-cpu-atomic-py-inductor-scatter-add.html</link>
      <description>Architecture documentation for the inductor_scatter_add() function in inductor_cpu_atomic.py from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/fn-inductor-cpu-atomic-py-inductor-scatter-add.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>shapes() — pytorch Function Reference</title>
      <link>https://repos.supermodeltools.com/pytorch/fn-inductor-cpu-atomic-py-shapes.html</link>
      <description>Architecture documentation for the shapes() function in inductor_cpu_atomic.py from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/fn-inductor-cpu-atomic-py-shapes.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>test_total_time() — pytorch Function Reference</title>
      <link>https://repos.supermodeltools.com/pytorch/fn-inductor-cpu-atomic-py-test-total-time.html</link>
      <description>Architecture documentation for the test_total_time() function in inductor_cpu_atomic.py from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/fn-inductor-cpu-atomic-py-test-total-time.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>torch_scatter_add() — pytorch Function Reference</title>
      <link>https://repos.supermodeltools.com/pytorch/fn-inductor-cpu-atomic-py-torch-scatter-add.html</link>
      <description>Architecture documentation for the torch_scatter_add() function in inductor_cpu_atomic.py from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/fn-inductor-cpu-atomic-py-torch-scatter-add.html</guid>
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      <title>inductor_aten_mm() — pytorch Function Reference</title>
      <link>https://repos.supermodeltools.com/pytorch/fn-inductor-mm-py-inductor-aten-mm.html</link>
      <description>Architecture documentation for the inductor_aten_mm() function in inductor_mm.py from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/fn-inductor-mm-py-inductor-aten-mm.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>inductor_triton_mm() — pytorch Function Reference</title>
      <link>https://repos.supermodeltools.com/pytorch/fn-inductor-mm-py-inductor-triton-mm.html</link>
      <description>Architecture documentation for the inductor_triton_mm() function in inductor_mm.py from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/fn-inductor-mm-py-inductor-triton-mm.html</guid>
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      <title>shapes() — pytorch Function Reference</title>
      <link>https://repos.supermodeltools.com/pytorch/fn-inductor-mm-py-shapes.html</link>
      <description>Architecture documentation for the shapes() function in inductor_mm.py from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/fn-inductor-mm-py-shapes.html</guid>
      <pubDate>Thu, 12 Mar 2026 02:16:01 +0000</pubDate>
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      <title>test_GPU_time() — pytorch Function Reference</title>
      <link>https://repos.supermodeltools.com/pytorch/fn-inductor-mm-py-test-gpu-time.html</link>
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      <description>Architecture documentation for the triton_mm() function in inductor_mm.py from the pytorch codebase.</description>
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      <description>Architecture documentation for the dictLongKeyFrom() function in IValue.java from the pytorch codebase.</description>
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      <description>Architecture documentation for the dictStringKeyFrom() function in IValue.java from the pytorch codebase.</description>
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      <description>Architecture documentation for the from() function in IValue.java from the pytorch codebase.</description>
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      <description>Architecture documentation for the getTypeName() function in IValue.java from the pytorch codebase.</description>
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      <description>Architecture documentation for the isBool() function in IValue.java from the pytorch codebase.</description>
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      <description>Architecture documentation for the isBoolList() function in IValue.java from the pytorch codebase.</description>
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      <description>Architecture documentation for the isDictLongKey() function in IValue.java from the pytorch codebase.</description>
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      <description>Architecture documentation for the isDictStringKey() function in IValue.java from the pytorch codebase.</description>
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      <description>Architecture documentation for the isDouble() function in IValue.java from the pytorch codebase.</description>
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      <description>Architecture documentation for the isDoubleList() function in IValue.java from the pytorch codebase.</description>
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      <description>Architecture documentation for the isList() function in IValue.java from the pytorch codebase.</description>
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      <description>Architecture documentation for the isLong() function in IValue.java from the pytorch codebase.</description>
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      <description>Architecture documentation for the isLongList() function in IValue.java from the pytorch codebase.</description>
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      <description>Architecture documentation for the isNull() function in IValue.java from the pytorch codebase.</description>
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      <description>Architecture documentation for the isString() function in IValue.java from the pytorch codebase.</description>
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      <description>Architecture documentation for the isTensor() function in IValue.java from the pytorch codebase.</description>
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      <description>Architecture documentation for the isTuple() function in IValue.java from the pytorch codebase.</description>
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      <description>Architecture documentation for the IValue() function in IValue.java from the pytorch codebase.</description>
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      <description>Architecture documentation for the listFrom() function in IValue.java from the pytorch codebase.</description>
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      <description>Architecture documentation for the optionalNull() function in IValue.java from the pytorch codebase.</description>
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      <description>Architecture documentation for the preconditionType() function in IValue.java from the pytorch codebase.</description>
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      <description>Architecture documentation for the toBool() function in IValue.java from the pytorch codebase.</description>
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      <description>Architecture documentation for the toBoolList() function in IValue.java from the pytorch codebase.</description>
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      <description>Architecture documentation for the toDictLongKey() function in IValue.java from the pytorch codebase.</description>
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      <description>Architecture documentation for the toDictStringKey() function in IValue.java from the pytorch codebase.</description>
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      <description>Architecture documentation for the toDouble() function in IValue.java from the pytorch codebase.</description>
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      <description>Architecture documentation for the toDoubleList() function in IValue.java from the pytorch codebase.</description>
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      <description>Architecture documentation for the toList() function in IValue.java from the pytorch codebase.</description>
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      <description>Architecture documentation for the toLong() function in IValue.java from the pytorch codebase.</description>
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      <description>Architecture documentation for the toLongList() function in IValue.java from the pytorch codebase.</description>
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      <description>Architecture documentation for the toStr() function in IValue.java from the pytorch codebase.</description>
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      <description>Architecture documentation for the toTensor() function in IValue.java from the pytorch codebase.</description>
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      <description>Architecture documentation for the toTensorList() function in IValue.java from the pytorch codebase.</description>
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      <description>Architecture documentation for the toTuple() function in IValue.java from the pytorch codebase.</description>
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      <description>Architecture documentation for the tupleFrom() function in IValue.java from the pytorch codebase.</description>
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      <description>Architecture documentation for the benchmark() function in kernels.py from the pytorch codebase.</description>
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      <description>Architecture documentation for the benchmark() function in kernels.py from the pytorch codebase.</description>
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      <description>Architecture documentation for the benchmark() function in kernels.py from the pytorch codebase.</description>
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      <description>Architecture documentation for the benchmark() function in kernels.py from the pytorch codebase.</description>
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      <description>Architecture documentation for the benchmark() function in kernels.py from the pytorch codebase.</description>
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      <description>Architecture documentation for the benchmark() function in kernels.py from the pytorch codebase.</description>
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      <description>Architecture documentation for the benchmark() function in kernels.py from the pytorch codebase.</description>
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      <description>Architecture documentation for the check_accuracy() function in kernels.py from the pytorch codebase.</description>
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      <description>Architecture documentation for the quack() function in kernels.py from the pytorch codebase.</description>
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      <title>quack() — pytorch Function Reference</title>
      <link>https://repos.supermodeltools.com/pytorch/fn-kernels-py-quack-3.html</link>
      <description>Architecture documentation for the quack() function in kernels.py from the pytorch codebase.</description>
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      <title>quack() — pytorch Function Reference</title>
      <link>https://repos.supermodeltools.com/pytorch/fn-kernels-py-quack-4.html</link>
      <description>Architecture documentation for the quack() function in kernels.py from the pytorch codebase.</description>
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      <title>quack() — pytorch Function Reference</title>
      <link>https://repos.supermodeltools.com/pytorch/fn-kernels-py-quack-5.html</link>
      <description>Architecture documentation for the quack() function in kernels.py from the pytorch codebase.</description>
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      <title>quack() — pytorch Function Reference</title>
      <link>https://repos.supermodeltools.com/pytorch/fn-kernels-py-quack-6.html</link>
      <description>Architecture documentation for the quack() function in kernels.py from the pytorch codebase.</description>
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      <title>quack() — pytorch Function Reference</title>
      <link>https://repos.supermodeltools.com/pytorch/fn-kernels-py-quack-7.html</link>
      <description>Architecture documentation for the quack() function in kernels.py from the pytorch codebase.</description>
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      <title>quack() — pytorch Function Reference</title>
      <link>https://repos.supermodeltools.com/pytorch/fn-kernels-py-quack.html</link>
      <description>Architecture documentation for the quack() function in kernels.py from the pytorch codebase.</description>
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      <title>rms_norm_ref() — pytorch Function Reference</title>
      <link>https://repos.supermodeltools.com/pytorch/fn-kernels-py-rms-norm-ref-2.html</link>
      <description>Architecture documentation for the rms_norm_ref() function in kernels.py from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/fn-kernels-py-rms-norm-ref-2.html</guid>
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      <title>rms_norm_ref() — pytorch Function Reference</title>
      <link>https://repos.supermodeltools.com/pytorch/fn-kernels-py-rms-norm-ref.html</link>
      <description>Architecture documentation for the rms_norm_ref() function in kernels.py from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/fn-kernels-py-rms-norm-ref.html</guid>
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      <title>load() — pytorch Function Reference</title>
      <link>https://repos.supermodeltools.com/pytorch/fn-litemoduleloader-java-load.html</link>
      <description>Architecture documentation for the load() function in LiteModuleLoader.java from the pytorch codebase.</description>
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      <title>loadModuleFromAsset() — pytorch Function Reference</title>
      <link>https://repos.supermodeltools.com/pytorch/fn-litemoduleloader-java-loadmodulefromasset.html</link>
      <description>Architecture documentation for the loadModuleFromAsset() function in LiteModuleLoader.java from the pytorch codebase.</description>
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      <title>forward() — pytorch Function Reference</title>
      <link>https://repos.supermodeltools.com/pytorch/fn-litenativepeer-java-forward.html</link>
      <description>Architecture documentation for the forward() function in LiteNativePeer.java from the pytorch codebase.</description>
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      <title>initHybrid() — pytorch Function Reference</title>
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      <description>Architecture documentation for the initHybrid() function in LiteNativePeer.java from the pytorch codebase.</description>
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      <title>initHybridAndroidAsset() — pytorch Function Reference</title>
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      <description>Architecture documentation for the initHybridAndroidAsset() function in LiteNativePeer.java from the pytorch codebase.</description>
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      <title>LiteNativePeer() — pytorch Function Reference</title>
      <link>https://repos.supermodeltools.com/pytorch/fn-litenativepeer-java-litenativepeer.html</link>
      <description>Architecture documentation for the LiteNativePeer() function in LiteNativePeer.java from the pytorch codebase.</description>
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      <title>resetNative() — pytorch Function Reference</title>
      <link>https://repos.supermodeltools.com/pytorch/fn-litenativepeer-java-resetnative.html</link>
      <description>Architecture documentation for the resetNative() function in LiteNativePeer.java from the pytorch codebase.</description>
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      <title>runMethod() — pytorch Function Reference</title>
      <link>https://repos.supermodeltools.com/pytorch/fn-litenativepeer-java-runmethod.html</link>
      <description>Architecture documentation for the runMethod() function in LiteNativePeer.java from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/fn-matmul-relu-py-a-shapes.html</link>
      <description>Architecture documentation for the a_shapes() function in matmul_relu.py from the pytorch codebase.</description>
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      <title>inductor_mm() — pytorch Function Reference</title>
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      <description>Architecture documentation for the inductor_mm() function in matmul_relu.py from the pytorch codebase.</description>
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      <title>torch_mm_relu() — pytorch Function Reference</title>
      <link>https://repos.supermodeltools.com/pytorch/fn-matmul-relu-py-torch-mm-relu.html</link>
      <description>Architecture documentation for the torch_mm_relu() function in matmul_relu.py from the pytorch codebase.</description>
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      <title>torch_mm() — pytorch Function Reference</title>
      <link>https://repos.supermodeltools.com/pytorch/fn-matmul-relu-py-torch-mm.html</link>
      <description>Architecture documentation for the torch_mm() function in matmul_relu.py from the pytorch codebase.</description>
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      <title>abs_norm() — pytorch Function Reference</title>
      <link>https://repos.supermodeltools.com/pytorch/fn-microbench-py-abs-norm.html</link>
      <description>Architecture documentation for the abs_norm() function in microbench.py from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/fn-microbench-py-add-relu-softmax.html</link>
      <description>Architecture documentation for the add_relu_softmax() function in microbench.py from the pytorch codebase.</description>
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      <title>add() — pytorch Function Reference</title>
      <link>https://repos.supermodeltools.com/pytorch/fn-microbench-py-add.html</link>
      <description>Architecture documentation for the add() function in microbench.py from the pytorch codebase.</description>
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      <title>compute_speedups() — pytorch Function Reference</title>
      <link>https://repos.supermodeltools.com/pytorch/fn-microbench-py-compute-speedups.html</link>
      <description>Architecture documentation for the compute_speedups() function in microbench.py from the pytorch codebase.</description>
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      <title>forward() — pytorch Function Reference</title>
      <link>https://repos.supermodeltools.com/pytorch/fn-microbench-py-forward-2.html</link>
      <description>Architecture documentation for the forward() function in microbench.py from the pytorch codebase.</description>
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      <title>forward() — pytorch Function Reference</title>
      <link>https://repos.supermodeltools.com/pytorch/fn-microbench-py-forward.html</link>
      <description>Architecture documentation for the forward() function in microbench.py from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/fn-microbench-py-init.html</link>
      <description>Architecture documentation for the __init__() function in microbench.py from the pytorch codebase.</description>
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      <description>Architecture documentation for the main() function in microbench.py from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/fn-microbench-py-microbenchmark.html</link>
      <description>Architecture documentation for the microbenchmark() function in microbench.py from the pytorch codebase.</description>
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      <title>scale() — pytorch Function Reference</title>
      <link>https://repos.supermodeltools.com/pytorch/fn-microbench-py-scale.html</link>
      <description>Architecture documentation for the scale() function in microbench.py from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/fn-microbench-py-sum.html</link>
      <description>Architecture documentation for the sum() function in microbench.py from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/fn-microbench-py-test.html</link>
      <description>Architecture documentation for the test() function in microbench.py from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/fn-microbench-py-tti.html</link>
      <description>Architecture documentation for the tti() function in microbench.py from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/fn-microbench-py-view.html</link>
      <description>Architecture documentation for the view() function in microbench.py from the pytorch codebase.</description>
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      <description>Architecture documentation for the destroy() function in Module.java from the pytorch codebase.</description>
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      <description>Architecture documentation for the forward() function in Module.java from the pytorch codebase.</description>
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      <description>Architecture documentation for the load() function in Module.java from the pytorch codebase.</description>
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      <description>Architecture documentation for the Module() function in Module.java from the pytorch codebase.</description>
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      <description>Architecture documentation for the runMethod() function in Module.java from the pytorch codebase.</description>
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      <description>Architecture documentation for the forward() function in NativePeer.java from the pytorch codebase.</description>
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      <description>Architecture documentation for the initHybrid() function in NativePeer.java from the pytorch codebase.</description>
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      <description>Architecture documentation for the runMethod() function in NativePeer.java from the pytorch codebase.</description>
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      <description>Architecture documentation for the main() function in nested_graph_breaks.py from the pytorch codebase.</description>
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      <description>Architecture documentation for the loadModel() function in PytorchLiteInstrumentedTests.java from the pytorch codebase.</description>
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      <description>Architecture documentation for the assertIValueTensor() function in PytorchTestBase.java from the pytorch codebase.</description>
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      <description>Architecture documentation for the loadModel() function in PytorchTestBase.java from the pytorch codebase.</description>
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      <description>Architecture documentation for the runModel() function in PytorchTestBase.java from the pytorch codebase.</description>
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      <description>Architecture documentation for the testChannelsLastConv3d() function in PytorchTestBase.java from the pytorch codebase.</description>
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      <description>Architecture documentation for the testConvolutionOps() function in PytorchTestBase.java from the pytorch codebase.</description>
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      <description>Architecture documentation for the testDistanceFunctionOps() function in PytorchTestBase.java from the pytorch codebase.</description>
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      <description>Architecture documentation for the testDynamicQuantOps() function in PytorchTestBase.java from the pytorch codebase.</description>
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      <description>Architecture documentation for the testFusedQuantOps() function in PytorchTestBase.java from the pytorch codebase.</description>
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      <description>Architecture documentation for the testLinearOps() function in PytorchTestBase.java from the pytorch codebase.</description>
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      <description>Architecture documentation for the testOtherMathOps() function in PytorchTestBase.java from the pytorch codebase.</description>
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      <description>Architecture documentation for the testPaddingOps() function in PytorchTestBase.java from the pytorch codebase.</description>
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      <description>Architecture documentation for the testPointwiseOps() function in PytorchTestBase.java from the pytorch codebase.</description>
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      <description>Architecture documentation for the testPoolingOps() function in PytorchTestBase.java from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/fn-pytorchtestbase-java-testquantops.html</link>
      <description>Architecture documentation for the testQuantOps() function in PytorchTestBase.java from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/fn-pytorchtestbase-java-testrecurrentops.html</link>
      <description>Architecture documentation for the testRecurrentOps() function in PytorchTestBase.java from the pytorch codebase.</description>
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      <description>Architecture documentation for the testReductionOps() function in PytorchTestBase.java from the pytorch codebase.</description>
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      <description>Architecture documentation for the testRunUndefinedMethod() function in PytorchTestBase.java from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/fn-pytorchtestbase-java-testsamplingops.html</link>
      <description>Architecture documentation for the testSamplingOps() function in PytorchTestBase.java from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/fn-pytorchtestbase-java-testshuffleops.html</link>
      <description>Architecture documentation for the testShuffleOps() function in PytorchTestBase.java from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/fn-pytorchtestbase-java-testsparseops.html</link>
      <description>Architecture documentation for the testSparseOps() function in PytorchTestBase.java from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/fn-pytorchtestbase-java-testspectralops.html</link>
      <description>Architecture documentation for the testSpectralOps() function in PytorchTestBase.java from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/fn-pytorchtestbase-java-teststaticquantops.html</link>
      <description>Architecture documentation for the testStaticQuantOps() function in PytorchTestBase.java from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/fn-pytorchtestbase-java-teststr3concat.html</link>
      <description>Architecture documentation for the testStr3Concat() function in PytorchTestBase.java from the pytorch codebase.</description>
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      <description>Architecture documentation for the testTensorCreationOps() function in PytorchTestBase.java from the pytorch codebase.</description>
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      <description>Architecture documentation for the testTensorIllegalStateOnWrongType() function in PytorchTestBase.java from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/fn-pytorchtestbase-java-testtensorindexingops.html</link>
      <description>Architecture documentation for the testTensorIndexingOps() function in PytorchTestBase.java from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/fn-pytorchtestbase-java-testtensormethods.html</link>
      <description>Architecture documentation for the testTensorMethods() function in PytorchTestBase.java from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/fn-pytorchtestbase-java-testtensorops.html</link>
      <description>Architecture documentation for the testTensorOps() function in PytorchTestBase.java from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/fn-pytorchtestbase-java-testtensortypingops.html</link>
      <description>Architecture documentation for the testTensorTypingOps() function in PytorchTestBase.java from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/fn-pytorchtestbase-java-testtensorviewops.html</link>
      <description>Architecture documentation for the testTensorViewOps() function in PytorchTestBase.java from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/fn-pytorchtestbase-java-testtorchscriptbuiltinquantops.html</link>
      <description>Architecture documentation for the testTorchScriptBuiltinQuantOps() function in PytorchTestBase.java from the pytorch codebase.</description>
      <guid>https://repos.supermodeltools.com/pytorch/fn-pytorchtestbase-java-testtorchscriptbuiltinquantops.html</guid>
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      <link>https://repos.supermodeltools.com/pytorch/fn-pytorchtestbase-java-testtorchscriptcollectionquantops.html</link>
      <description>Architecture documentation for the testTorchScriptCollectionQuantOps() function in PytorchTestBase.java from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/fn-pytorchtestbase-java-testtransformerops.html</link>
      <description>Architecture documentation for the testTransformerOps() function in PytorchTestBase.java from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/fn-pytorchtestbase-java-testvisionfunctionops.html</link>
      <description>Architecture documentation for the testVisionFunctionOps() function in PytorchTestBase.java from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/fn-samplers-benchmark-py-init.html</link>
      <description>Architecture documentation for the __init__() function in samplers_benchmark.py from the pytorch codebase.</description>
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      <description>Architecture documentation for the main() function in samplers_benchmark.py from the pytorch codebase.</description>
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      <description>Architecture documentation for the allocateByteBuffer() function in Tensor.java from the pytorch codebase.</description>
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      <description>Architecture documentation for the allocateFloatBuffer() function in Tensor.java from the pytorch codebase.</description>
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      <link>https://repos.supermodeltools.com/pytorch/fn-tensor-java-allocateintbuffer.html</link>
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      <description>Architecture documentation for the allocateLongBuffer() function in Tensor.java from the pytorch codebase.</description>
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      <description>Architecture documentation for the getRawDataBuffer() function in Tensor.java from the pytorch codebase.</description>
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      <description>Architecture documentation for the getRawDataBuffer() function in Tensor.java from the pytorch codebase.</description>
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      <description>Architecture documentation for the benchmark() function in utils.py from the pytorch codebase.</description>
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