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Commit explicit libtorch_python sources (#19607)
Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/19607 Explicit is better than implicit - it's pretty hard to debug where particular file is if it's not greppable. As a follow up step - we should look whether we can just include build_variables.py in CMake directly to share setups of two build systems Reviewed By: ezyang Differential Revision: D15023348 fbshipit-source-id: 600ef2d1871bc28530c6a02681b284f7499904df
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@ -138,37 +138,109 @@ libtorch_cuda_sources = [
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def add_torch_libs():
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r = {}
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# We start torch_python_sources with all cpp files, and exclude some
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# including the files already contained in the torch and cuda bindings
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globbed_sources = (native.glob(
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["torch/csrc/**/*.cpp"],
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exclude=[
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# remove anything that has "generic" in it"s path
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"torch/csrc/**/generic/**/*.cpp",
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# distributed only uses Module.cpp
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# so remove all other files and just include that
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"torch/csrc/distributed/**/*.cpp",
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# top-level hook of extension registration lives in a separate file
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"torch/csrc/stub.cpp",
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# to avoid redefinitions of symbols defined in
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# dynamic_library_unix.cpp
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"torch/csrc/jit/fuser/cpu/dynamic_library_win.cpp",
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# exclude files that are already included in ATen/core
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"torch/csrc/jit/script/function_schema_parser.cpp",
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"torch/csrc/jit/script/schema_type_parser.cpp",
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"torch/csrc/jit/script/lexer.cpp",
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"torch/csrc/jit/script/strtod.cpp",
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],
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) + [
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libtorch_python_sources = [
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":generate-code=THCUNN.cpp",
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":generate-code=THNN.cpp",
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":generate-code=python_functions.cpp",
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":generate-code=python_nn_functions.cpp",
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":generate-code=python_torch_functions.cpp",
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":generate-code=python_variable_methods.cpp",
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"torch/csrc/CudaIPCTypes.cpp",
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"torch/csrc/DataLoader.cpp",
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"torch/csrc/Device.cpp",
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"torch/csrc/Dtype.cpp",
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"torch/csrc/DynamicTypes.cpp",
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"torch/csrc/Generator.cpp",
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"torch/csrc/Layout.cpp",
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"torch/csrc/Module.cpp",
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"torch/csrc/PtrWrapper.cpp",
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"torch/csrc/Size.cpp",
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"torch/csrc/Storage.cpp",
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"torch/csrc/TypeInfo.cpp",
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"torch/csrc/api/src/cuda.cpp",
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"torch/csrc/api/src/data/datasets/mnist.cpp",
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"torch/csrc/api/src/data/samplers/distributed.cpp",
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"torch/csrc/api/src/data/samplers/random.cpp",
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"torch/csrc/api/src/data/samplers/sequential.cpp",
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"torch/csrc/api/src/data/samplers/stream.cpp",
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"torch/csrc/api/src/nn/init.cpp",
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"torch/csrc/api/src/nn/module.cpp",
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"torch/csrc/api/src/nn/modules/batchnorm.cpp",
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"torch/csrc/api/src/nn/modules/conv.cpp",
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"torch/csrc/api/src/nn/modules/dropout.cpp",
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"torch/csrc/api/src/nn/modules/embedding.cpp",
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"torch/csrc/api/src/nn/modules/functional.cpp",
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"torch/csrc/api/src/nn/modules/linear.cpp",
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"torch/csrc/api/src/nn/modules/named_any.cpp",
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"torch/csrc/api/src/nn/modules/rnn.cpp",
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"torch/csrc/api/src/optim/adagrad.cpp",
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"torch/csrc/api/src/optim/adam.cpp",
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"torch/csrc/api/src/optim/lbfgs.cpp",
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"torch/csrc/api/src/optim/optimizer.cpp",
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"torch/csrc/api/src/optim/rmsprop.cpp",
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"torch/csrc/api/src/optim/serialize.cpp",
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"torch/csrc/api/src/optim/sgd.cpp",
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"torch/csrc/api/src/python/init.cpp",
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"torch/csrc/api/src/serialize/input-archive.cpp",
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"torch/csrc/api/src/serialize/output-archive.cpp",
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"torch/csrc/autograd/functions/init.cpp",
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"torch/csrc/autograd/init.cpp",
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"torch/csrc/autograd/python_anomaly_mode.cpp",
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"torch/csrc/autograd/python_cpp_function.cpp",
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"torch/csrc/autograd/python_engine.cpp",
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"torch/csrc/autograd/python_function.cpp",
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"torch/csrc/autograd/python_hook.cpp",
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"torch/csrc/autograd/python_legacy_variable.cpp",
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"torch/csrc/autograd/python_variable.cpp",
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"torch/csrc/autograd/python_variable_indexing.cpp",
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"torch/csrc/byte_order.cpp",
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"torch/csrc/cuda/Event.cpp",
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"torch/csrc/cuda/Module.cpp",
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"torch/csrc/cuda/Storage.cpp",
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"torch/csrc/cuda/Stream.cpp",
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"torch/csrc/cuda/Tensor.cpp",
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"torch/csrc/cuda/python_comm.cpp",
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"torch/csrc/cuda/python_nccl.cpp",
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"torch/csrc/cuda/serialization.cpp",
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"torch/csrc/cuda/utils.cpp",
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"torch/csrc/distributed/Module.cpp",
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"torch/csrc/distributed/c10d/init.cpp",
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"torch/csrc/distributed/c10d/ddp.cpp",
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"torch/csrc/distributed/c10d/init.cpp",
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"torch/csrc/distributed/c10d/reducer.cpp",
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] + [":generate-code=" + x for x in GENERATED_CPP])
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libtorch_python_sources = sets.to_list(sets.difference(
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sets.make(globbed_sources),
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sets.make(libtorch_sources + libtorch_cuda_sources),
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))
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"torch/csrc/jit/init.cpp",
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"torch/csrc/jit/passes/inline_fork_wait.cpp",
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"torch/csrc/jit/passes/onnx.cpp",
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"torch/csrc/jit/passes/onnx/constant_fold.cpp",
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"torch/csrc/jit/passes/onnx/fixup_onnx_loop.cpp",
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"torch/csrc/jit/passes/onnx/peephole.cpp",
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"torch/csrc/jit/passes/onnx/prepare_division_for_onnx.cpp",
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"torch/csrc/jit/passes/remove_inplace_ops.cpp",
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"torch/csrc/jit/passes/utils/check_alias_annotation.cpp",
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"torch/csrc/jit/python_arg_flatten.cpp",
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"torch/csrc/jit/python_interpreter.cpp",
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"torch/csrc/jit/python_ir.cpp",
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"torch/csrc/jit/python_tracer.cpp",
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"torch/csrc/jit/script/init.cpp",
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"torch/csrc/jit/script/python_tree_views.cpp",
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"torch/csrc/multiprocessing/init.cpp",
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"torch/csrc/onnx/init.cpp",
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"torch/csrc/serialization.cpp",
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"torch/csrc/tensor/python_tensor.cpp",
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"torch/csrc/utils.cpp",
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"torch/csrc/utils/cuda_lazy_init.cpp",
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"torch/csrc/utils/invalid_arguments.cpp",
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"torch/csrc/utils/object_ptr.cpp",
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"torch/csrc/utils/python_arg_parser.cpp",
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"torch/csrc/utils/structseq.cpp",
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"torch/csrc/utils/tensor_apply.cpp",
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"torch/csrc/utils/tensor_dtypes.cpp",
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"torch/csrc/utils/tensor_layouts.cpp",
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"torch/csrc/utils/tensor_list.cpp",
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"torch/csrc/utils/tensor_new.cpp",
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"torch/csrc/utils/tensor_numpy.cpp",
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"torch/csrc/utils/tensor_types.cpp",
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"torch/csrc/utils/tuple_parser.cpp",
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]
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common_flags = {
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"compiler_flags": [
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