mirror of
https://github.com/saymrwulf/pytorch.git
synced 2026-05-14 20:57:59 +00:00
40ccb7a86d
Summary: This prepares us for the next PR in the stack, where we introduce pre-compiled per-device header files to save compilation time. Reland https://github.com/pytorch/pytorch/pull/143909 after merge conflicts. Co-authored-by: Benjamin Glass <[bglass@quansight.com](mailto:bglass@quansight.com)> Differential Revision: D68656960 Pulled By: benjaminglass1 Pull Request resolved: https://github.com/pytorch/pytorch/pull/145932 Approved by: https://github.com/yushangdi, https://github.com/benjaminglass1 Co-authored-by: bglass@quansight.com <bglass@quansight.com>
114 lines
2.9 KiB
YAML
114 lines
2.9 KiB
YAML
"module: dynamo":
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- torch/_dynamo/**
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- torch/csrc/dynamo/**
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- benchmarks/dynamo/**
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- test/dynamo/**
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"module: inductor":
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- torch/_inductor/**
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- test/inductor/**
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"ciflow/inductor":
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- torch/_decomp/**
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- torch/_dynamo/**
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- torch/_export/**
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- torch/_inductor/**
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- benchmarks/dynamo/**
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- torch/_subclasses/fake_tensor.py
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- torch/_subclasses/fake_utils.py
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- torch/_subclasses/meta_utils.py
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- test/distributed/test_dynamo_distributed.py
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- test/distributed/test_inductor_collectives.py
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- torch/_functorch/_aot_autograd/**
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- torch/_functorch/aot_autograd.py
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- torch/_functorch/partitioners.py
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- .ci/docker/ci_commit_pins/**
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- .github/ci_commit_pins/**
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- c10/core/Sym*
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- torch/fx/experimental/symbolic_shapes.py
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- torch/fx/experimental/recording.py
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- torch/fx/experimental/sym_node.py
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- torch/fx/experimental/validator.py
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- torch/fx/experimental/proxy_tensor.py
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- test/distributed/tensor/test_dtensor_compile.py
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- test/distributed/tensor/parallel/test_fsdp_2d_parallel.py
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- torch/distributed/tensor/**
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- torch/distributed/fsdp/**
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- torch/csrc/inductor/**
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- torch/csrc/dynamo/**
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- test/cpp/aoti_abi_check/**
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- test/cpp/aoti_inference/**
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- test/inductor/**
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- test/dynamo/**
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"module: cpu":
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- aten/src/ATen/cpu/**
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- aten/src/ATen/native/cpu/**
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- aten/src/ATen/native/quantized/cpu/**
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- aten/src/ATen/native/Convolution*.cpp
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- aten/src/ATen/native/mkldnn/**
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- torch/cpu/**
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- torch/utils/mkldnn.py
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- torch/utils/_sympy/**
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- test/test_mkldnn.py
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"module: mkldnn":
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- third_party/ideep
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- caffe2/ideep/**
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- caffe2/python/ideep/**
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- cmake/Modules/FindMKLDNN.cmake
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- third_party/mkl-dnn.BUILD
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- torch/csrc/jit/codegen/onednn/**
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- test/test_jit_llga_fuser.py
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- test/test_mkldnn.py
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"ciflow/linux-aarch64":
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- third_party/ideep
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- caffe2/ideep/**
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- caffe2/python/ideep/**
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- cmake/Modules/FindMKLDNN.cmake
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- third_party/mkl-dnn.BUILD
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- torch/csrc/jit/codegen/onednn/**
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- test/test_jit_llga_fuser.py
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- test/test_mkldnn.py
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"module: amp (automated mixed precision)":
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- torch/amp/**
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- aten/src/ATen/autocast_mode.*
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- torch/csrc/jit/passes/autocast.cpp
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- test/test_autocast.py
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"NNC":
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- torch/csrc/jit/tensorexpr/**
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"release notes: quantization":
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- torch/ao/quantization/**
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- torch/quantization/**
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- aten/src/ATen/quantized/**
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- aten/src/ATen/native/quantized/cpu/**
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- test/quantization/**
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"ciflow/trunk":
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- .ci/docker/ci_commit_pins/triton.txt
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"oncall: distributed":
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- torch/csrc/distributed/**
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- torch/distributed/**
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- torch/nn/parallel/**
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- test/distributed/**
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- torch/testing/_internal/distributed/**
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"module: distributed_checkpoint":
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- torch/distributed/checkpoint/**
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- test/distributed/checkpoint/**
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"module: compiled autograd":
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- torch/csrc/dynamo/python_compiled_autograd.cpp
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- torch/csrc/dynamo/compiled_autograd.h
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- torch/_dynamo/compiled_autograd.py
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- torch/inductor/test_compiled_autograd.py
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"ciflow/xpu":
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- torch/csrc/inductor/aoti_include/xpu.h
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- torch/csrc/inductor/cpp_wrapper/device_internal/xpu.h
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- torch/csrc/inductor/cpp_wrapper/xpu.h
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