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pytorch / pytorch Public

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[compiled autograd][aot] Trim runtime refs for list inputs from dynam…

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linux-focal-cuda12.1-py3-gcc9-slow-gradcheck / test (default, 4, 6, linux.g5.4xlarge.nvidia.gpu)

linux-focal-cuda12.1-py3-gcc9-slow-gradcheck / test (default, 5, 6, linux.g5.4xlarge.nvidia.gpu)

linux-focal-cuda12.1-py3-gcc9-slow-gradcheck / test (default, 6, 6, linux.g5.4xlarge.nvidia.gpu)

linux-focal-cuda12.1-py3.10-gcc9-sm86 / test (slow, 1, 2, linux.g5.4xlarge.nvidia.gpu)

linux-focal-cuda12.1-py3.10-gcc9-sm86 / test (slow, 2, 2, linux.g5.4xlarge.nvidia.gpu)

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win-vs2019-cuda11.8-py3 / test (default, 4, 4, windows.g5.4xlarge.nvidia.gpu)

win-vs2019-cuda11.8-py3 / test (force_on_cpu, 1, 1, windows.4xlarge.nonephemeral)

linux-focal-rocm6.0-py3.8 / test (distributed, 1, 2, linux.rocm.gpu)

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cuda12.1-py3.10-gcc9-sm86-periodic-dynamo-benchmarks / test (aot_eager_torchbench, 1, 2, linux.g5.4xlarge.nvidia.gpu)

cuda12.1-py3.10-gcc9-sm86-periodic-dynamo-benchmarks / test (aot_eager_torchbench, 2, 2, linux.g5.4xlarge.nvidia.gpu)

cuda12.1-py3.10-gcc9-sm86-periodic-dynamo-benchmarks / test (aot_eager_huggingface, 1, 1, linux.g5.4xlarge.nvidia.gpu)

cuda12.1-py3.10-gcc9-sm86-periodic-dynamo-benchmarks / test (aot_eager_timm, 1, 2, linux.g5.4xlarge.nvidia.gpu)

cuda12.1-py3.10-gcc9-sm86-periodic-dynamo-benchmarks / test (aot_eager_timm, 2, 2, linux.g5.4xlarge.nvidia.gpu)

cuda12.1-py3.10-gcc9-sm86-periodic-dynamo-benchmarks / test (dynamic_aot_eager_torchbench, 1, 2, linux.g5.4xlarge.nvidia.gpu)

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cuda12.1-py3.10-gcc9-sm86-periodic-dynamo-benchmarks / test (dynamic_aot_eager_huggingface, 1, 1, linux.g5.4xlarge.nvidia.gpu)

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