conv3d() — pytorch Function Reference
Architecture documentation for the conv3d() function in generate_test_torchscripts.py from the pytorch codebase.
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Dependency Diagram
graph TD efb2e7f7_3652_f8c8_a80d_9d8d754ac1a9["conv3d()"] c800a173_9551_2901_c091_d157ae22ae5a["contiguous()"] efb2e7f7_3652_f8c8_a80d_9d8d754ac1a9 -->|calls| c800a173_9551_2901_c091_d157ae22ae5a style efb2e7f7_3652_f8c8_a80d_9d8d754ac1a9 fill:#6366f1,stroke:#818cf8,color:#fff
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Source Code
android/pytorch_android/generate_test_torchscripts.py lines 133–139
def conv3d(self, x: Tensor, w: Tensor, toChannelsLast: bool) -> Tensor:
r = torch.nn.functional.conv3d(x, w)
if toChannelsLast:
r = r.contiguous(memory_format=torch.channels_last_3d)
else:
r = r.contiguous()
return r
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Frequently Asked Questions
What does conv3d() do?
conv3d() is a function in the pytorch codebase.
What does conv3d() call?
conv3d() calls 1 function(s): contiguous.
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