[EXPERIMENTAL] turn on `torch._dynamo.config.capture_scalar_outputs` by default #157499

StrongerXi · 2025-07-02T21:30:37Z

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pytorch-bot · 2025-07-02T21:30:41Z

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❌ 54 New Failures, 1 Unrelated Failure

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inductor / cuda12.8-py3.10-gcc9-sm86 / test (inductor_huggingface, 1, 1, linux.g5.4xlarge.nvidia.gpu) (gh)
AllenaiLongformerBase
inductor / cuda12.8-py3.10-gcc9-sm86 / test (inductor_torchbench, 1, 2, linux.g5.4xlarge.nvidia.gpu) (gh)
fastNLP_Bert
inductor / cuda12.8-py3.10-gcc9-sm86 / test (inductor_torchbench, 2, 2, linux.g5.4xlarge.nvidia.gpu) (gh)
moco
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detectron2_maskrcnn_r_50_fpn
inductor / linux-jammy-cpu-py3.9-gcc11-inductor / test (cpu_inductor_torchbench, 2, 2, linux.8xlarge.amx) (gh)
vision_maskrcnn
inductor / linux-jammy-cpu-py3.9-gcc11-inductor / test (dynamic_cpu_inductor_huggingface, 1, 1, linux.8xlarge.amx) (gh)
AllenaiLongformerBase
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hf_Longformer
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vision_maskrcnn
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moco
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inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_item_cuda_float64
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inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_narrow_cuda_bool
inductor / unit-test / cuda12.8-py3.12-gcc9-sm86 / test (inductor, 2, 2, linux.g5.4xlarge.nvidia.gpu) (gh)
test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_gradgrad_map_simple_cuda_float64
inductor / unit-test / cuda12.8-py3.13-gcc9-sm86 / test (inductor, 1, 2, linux.g5.4xlarge.nvidia.gpu) (gh)
test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_gradgrad_map_simple_cuda_float64
inductor / unit-test / cuda12.8-py3.13-gcc9-sm86 / test (inductor, 2, 2, linux.g5.4xlarge.nvidia.gpu) (gh)
inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_item_cuda_float32
inductor / unit-test / linux-jammy-cpu-py3.9-gcc11-inductor / test (inductor_amx, 1, 2, linux.8xlarge.amx) (gh)
inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_narrow_cpu_bool
inductor / unit-test / linux-jammy-cpu-py3.9-gcc11-inductor / test (inductor_amx, 2, 2, linux.8xlarge.amx) (gh)
test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_map_simple_cpu_float64
inductor / unit-test / linux-jammy-cpu-py3.9-gcc11-inductor / test (inductor_avx2, 1, 2, linux.10xlarge.avx2) (gh)
test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_map_simple_cpu_float64
inductor / unit-test / linux-jammy-cpu-py3.9-gcc11-inductor / test (inductor_avx2, 2, 2, linux.10xlarge.avx2) (gh)
inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_narrow_cpu_float32
inductor-rocm / rocm-py3.10-inductor / test (inductor, 1, 2, linux.rocm.gpu.2) (gh)
inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_tensor_split_cuda_int32
inductor-rocm / rocm-py3.10-inductor / test (inductor, 2, 2, linux.rocm.gpu.2) (gh)
test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_gradgrad_map_simple_cuda_float64
pull / linux-jammy-cuda12.8-py3.10-gcc11 / test (default, 1, 5, lf.linux.4xlarge.nvidia.gpu) (gh)
dynamo/test_repros.py::ReproTests::test_do_paste_mask
pull / linux-jammy-cuda12.8-py3.10-gcc11 / test (default, 2, 5, lf.linux.4xlarge.nvidia.gpu) (gh)
dynamo/test_error_messages.py::GraphBreakMessagesTest::test_data_dependent_operator
pull / linux-jammy-cuda12.8-py3.10-gcc11 / test (default, 3, 5, lf.linux.4xlarge.nvidia.gpu) (gh)
dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_do_paste_mask_dynamic_shapes
pull / linux-jammy-cuda12.8-py3.10-gcc11 / test (default, 5, 5, lf.linux.4xlarge.nvidia.gpu) (gh)
dynamo/test_utils.py::TestUtils::test_graph_break_counting
pull / linux-jammy-cuda12.8-py3.10-gcc11-sm89 / test (default, 1, 5, lf.linux.g6.4xlarge.experimental.nvidia.gpu) (gh)
inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_narrow_cuda_bool
pull / linux-jammy-cuda12.8-py3.10-gcc11-sm89 / test (default, 2, 5, lf.linux.g6.4xlarge.experimental.nvidia.gpu) (gh)
inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_tensor_split_cuda_bool
pull / linux-jammy-cuda12.8-py3.10-gcc11-sm89 / test (default, 3, 5, lf.linux.g6.4xlarge.experimental.nvidia.gpu) (gh)
dynamo/test_repros.py::ReproTests::test_do_paste_mask
pull / linux-jammy-cuda12.8-py3.10-gcc11-sm89 / test (default, 4, 5, lf.linux.g6.4xlarge.experimental.nvidia.gpu) (gh)
inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_item_cuda_float64
pull / linux-jammy-cuda12.8-py3.10-gcc11-sm89 / test (default, 5, 5, lf.linux.g6.4xlarge.experimental.nvidia.gpu) (gh)
dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_do_paste_mask_dynamic_shapes
pull / linux-jammy-py3.10-clang18-asan / test (default, 2, 6, lf.linux.4xlarge) (gh)
dynamo/test_repros.py::ReproTests::test_do_paste_mask
pull / linux-jammy-py3.10-clang18-asan / test (default, 3, 6, lf.linux.4xlarge) (gh)
dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_do_paste_mask_dynamic_shapes
pull / linux-jammy-py3.10-clang18-asan / test (default, 6, 6, lf.linux.4xlarge) (gh)
dynamo/test_error_messages.py::GraphBreakMessagesTest::test_data_dependent_operator
pull / linux-jammy-py3.13-clang12 / test (default, 2, 5, lf.linux.4xlarge) (gh)
dynamo/test_repros.py::ReproTests::test_do_paste_mask
pull / linux-jammy-py3.13-clang12 / test (default, 3, 5, lf.linux.4xlarge) (gh)
dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_do_paste_mask_dynamic_shapes
pull / linux-jammy-py3.13-clang12 / test (default, 4, 5, lf.linux.4xlarge) (gh)
inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_item_cpu_float64
pull / linux-jammy-py3.13-clang12 / test (default, 5, 5, lf.linux.4xlarge) (gh)
inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tensor_split_cpu_int64
pull / linux-jammy-py3.13-clang12 / test (dynamo_wrapped, 1, 3, lf.linux.2xlarge) (gh)
torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis_none_func0
pull / linux-jammy-py3.13-clang12 / test (dynamo_wrapped, 2, 3, lf.linux.2xlarge) (gh)
test_fake_tensor.py::FakeTensorConstHandling::test_fake_tensor_in_intlist_repro
pull / linux-jammy-py3.13-clang12 / test (dynamo_wrapped, 3, 3, lf.linux.2xlarge) (gh)
test_autograd.py::TestAutogradDeviceTypeCPU::test_pyscalar_conversions_cpu
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inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_narrow_cpu_bool
pull / linux-jammy-py3.9-clang12 / test (default, 2, 5, lf.linux.4xlarge) (gh)
inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_item_cpu_float64
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dynamo/test_repros.py::ReproTests::test_do_paste_mask
pull / linux-jammy-py3.9-clang12 / test (default, 4, 5, lf.linux.4xlarge) (gh)
inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tensor_split_cpu_float16
pull / linux-jammy-py3.9-clang12 / test (default, 5, 5, lf.linux.4xlarge) (gh)
dynamo/test_utils.py::TestUtils::test_graph_break_counting
pull / linux-jammy-py3.9-clang12 / test (dynamo_wrapped, 1, 3, lf.linux.2xlarge) (gh)
test_sort_and_select.py::TestSortAndSelectCPU::test_kthvalue_cpu_float64
pull / linux-jammy-py3.9-clang12 / test (dynamo_wrapped, 2, 3, lf.linux.2xlarge) (gh)
test_fake_tensor.py::FakeTensorConstHandling::test_fake_tensor_in_intlist_repro
pull / linux-jammy-py3.9-clang12 / test (dynamo_wrapped, 3, 3, lf.linux.2xlarge) (gh)
test_autograd.py::TestAutogradDeviceTypeCPU::test_pyscalar_conversions_cpu
pull / linux-jammy-py3.9-gcc11 / test (default, 1, 5, lf.linux.2xlarge) (gh)
inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_item_cpu_float16
pull / linux-jammy-py3.9-gcc11 / test (default, 2, 5, lf.linux.2xlarge) (gh)
inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_narrow_cpu_float32
pull / linux-jammy-py3.9-gcc11 / test (default, 3, 5, lf.linux.2xlarge) (gh)
dynamo/test_repros.py::ReproTests::test_do_paste_mask
pull / linux-jammy-py3.9-gcc11 / test (default, 4, 5, lf.linux.2xlarge) (gh)
inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_item_cpu_float32
pull / linux-jammy-py3.9-gcc11 / test (default, 5, 5, lf.linux.2xlarge) (gh)
dynamo/test_utils.py::TestUtils::test_graph_break_counting

UNSTABLE - The following job is marked as unstable, possibly due to flakiness on trunk:

pull / cuda12.8-py3.10-gcc9-sm75 / test (pr_time_benchmarks, 1, 1, linux.g4dn.metal.nvidia.gpu, unstable) (gh) (#153987)
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github-actions · 2025-07-02T21:31:20Z

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…by default ghstack-source-id: 840b2a1 Pull Request resolved: pytorch/pytorch#157499

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pytorch-bot bot added ciflow/inductor module: dynamo labels Jul 2, 2025

This was referenced Jun 26, 2025

[EXPERIMENTAL][dynamo] Avoid potential graph breaks by relaxing handle_traced_output checks #157013

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[EXPERIMENTAL] turn on torch._dynamo.config.capture_dynamic_output_shape_ops by default #157500

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[EXPERIMENTAL] turn on torch._dynamo.config.capture_scalar_outputs …

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