Configuration — pytorch Architecture
Managing CI environments and benchmark settings
Entity Profile
Relationship Graph
Domain
Functions
- AssertionError()
- INTERNAL_CI_SKIP_DYNAMIC_BATCH_ONLY()
- RuntimeError()
- __init__()
- __init__()
- __init__()
- __init__()
- __str__()
- _config()
- _dynamo()
- _get_model_cls_and_config()
- _run_benchmark()
- _skip()
- add_relu_softmax()
- alarm_handler()
- aot_precompile()
- aot_summary()
- apply_fsdp()
- apply_lints()
- baselines()
- bench()
- bench()
- benchmark()
- benchmark()
- benchmark()
- benchmark()
- benchmark()
- benchmark()
- benchmark()
- benchmark()
- benchmark()
- benchmark_kernel_in_milliseconds()
- benchmark_single_shape()
- cast_to()
- cast_to_fp16()
- cast_to_fp32()
- check_accuracy()
- check_accuracy()
- check_perf_csv()
- cleanup()
- clone_inputs()
- cls()
- collections()
- common()
- compiled()
- compiled()
- compiled()
- compute_rstd()
- compute_speedups()
- decay_batch_exp()
- deepcopy_and_maybe_parallelize()
- deepcopy_model()
- download_artifacts_and_extract_csvs()
- download_retry_decorator()
- download_single_artifact()
- eager()
- eager()
- eager()
- eager()
- eager()
- eager()
- equal_nan()
- export_aot_inductor()
- failing_torchinductor_models()
- forward()
- forward()
- forward()
- forward()
- forward_and_backward_pass()
- forward_pass()
- fp32_only_models()
- get_accuracy_check_runs()
- get_artifacts_urls()
- get_backend_colors()
- get_benchmark_indices()
- get_dynamo_stats()
- get_excess_memory()
- get_memory_bytes()
- get_memory_bytes()
- get_memory_bytes()
- get_memory_bytes()
- get_model()
- get_model_and_inputs()
- get_model_and_inputs()
- get_model_and_inputs()
- get_module_cls_by_model_name()
- get_peak_memory()
- get_shapes()
- get_shapes()
- get_shapes()
- get_shapes()
- get_shapes()
- get_tolerance_and_cosine_flag()
- get_tolerance_and_cosine_flag()
- guard_on_nn_module_models()
- helion()
- huge_graph()
- huggingface_main()
- inductor_aten_bmm()
- inductor_mm()
- inductor_triton_mm()
- latency_experiment()
- layernorm_ref()
- layernorm_ref()
- liger()
- liger()
- liger()
- liger()
- liger()
- lines()
- list_benchmarks()
- load()
- load_model()
- lst()
- main()
- main()
- main()
- main()
- main()
- make_fn()
- maybe_fresh_cache()
- maybe_snapshot_memory()
- minify_model()
- mm()
- mm_relu()
- mod()
- model_specified_by_path()
- normalize_suite_filename()
- optimizer_step()
- output_json()
- output_signpost()
- parse_job_name()
- parse_log_file()
- parse_test_str()
- parser()
- parser()
- patch_torch_manual_seed()
- pick_grad()
- pip_install()
- print_fx()
- print_summary()
- process_caching_precompile()
- profile_model()
- quack()
- quack()
- quack()
- quack()
- query_job_sha()
- rand_int_tensor()
- randomize_input()
- refresh_model_names_and_batch_sizes()
- reset_counters()
- run_all_benchmarks()
- run_benchmark()
- run_n_iterations()
- run_one_model()
- run_performance_test_non_alternate()
- scale()
- setup_amp()
- shapes()
- shapes()
- should_diff_branch()
- show_environment_info()
- sides()
- skip_accuracy_checks_large_models_dashboard()
- skip_accuracy_checks_large_models_dashboard()
- skip_models()
- skip_models()
- skip_models_due_to_control_flow()
- skip_models_due_to_export_not_supported()
- skip_multiprocess_models()
- speedup_experiment()
- speedup_experiment_fx2trt()
- synchronize()
- tensor_is_on_xla()
- test()
- test_GPU_time()
- time_with_torch_timer()
- torch_bmm()
- torch_mm()
- torch_scatter_add()
- torchbench()
- trace_handler()
- transformers()
- triton_mm()
- try_script()
- validate_model()
- very_slow_models()
- view()
- visualize()
- write_csv_when_exception()
- write_filtered_csvs()
- write_outputs()
Frequently Asked Questions
What is the Configuration subdomain?
Configuration is a subdomain in the pytorch codebase, part of the DynamoBenchmarks domain. Managing CI environments and benchmark settings It contains 0 source files.
Which domain does Configuration belong to?
Configuration belongs to the DynamoBenchmarks domain.
What functions are in Configuration?
The Configuration subdomain contains 193 function(s): AssertionError, INTERNAL_CI_SKIP_DYNAMIC_BATCH_ONLY, RuntimeError, __init__, __init__, __init__, __init__, __str__, and 185 more.
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