mirror of
https://github.com/pytorch/pytorch.git
synced 2025-11-18 17:45:09 +08:00
89df22e57b
Summary: light weight implementation of LLVM filecheck utility. Currently only handles string matching - regexes & saving a regex to a variable name can be added as needed. Current intended usage is through FileCheckBuilder python handle, and is shown in the tests. Pull Request resolved: https://github.com/pytorch/pytorch/pull/16858 Differential Revision: D14096244 Pulled By: eellison fbshipit-source-id: c7c8d1457691c105e6ccbb3c1a378d96baac2569
256 lines
8.8 KiB
Python
256 lines
8.8 KiB
Python
# In the open-source build, these are generated into
|
|
# torch/csrc/{autgrad,jit}/generated. In fbcode, this distinction is
|
|
# not currently relevant so they are combined into one list.
|
|
from __future__ import absolute_import, division, print_function, unicode_literals
|
|
load("@bazel_skylib//lib:new_sets.bzl", "sets")
|
|
|
|
|
|
GENERATED_CPP = [
|
|
"Functions.cpp",
|
|
"THCUNN.cpp",
|
|
"THNN.cpp",
|
|
"VariableType_0.cpp",
|
|
"VariableType_1.cpp",
|
|
"VariableType_2.cpp",
|
|
"VariableType_3.cpp",
|
|
"VariableType_4.cpp",
|
|
"register_aten_ops_0.cpp",
|
|
"register_aten_ops_1.cpp",
|
|
"register_aten_ops_2.cpp",
|
|
"python_functions.cpp",
|
|
"python_nn_functions.cpp",
|
|
"python_torch_functions.cpp",
|
|
"python_variable_methods.cpp",
|
|
]
|
|
|
|
# copied from https://github.com/pytorch/pytorch/blob/master/tools/cpp_build/torch/CMakeLists.txt
|
|
libtorch_sources = [
|
|
":generate-code=Functions.cpp",
|
|
":generate-code=register_aten_ops_0.cpp",
|
|
":generate-code=register_aten_ops_1.cpp",
|
|
":generate-code=register_aten_ops_2.cpp",
|
|
":generate-code=VariableType_0.cpp",
|
|
":generate-code=VariableType_1.cpp",
|
|
":generate-code=VariableType_2.cpp",
|
|
":generate-code=VariableType_3.cpp",
|
|
":generate-code=VariableType_4.cpp",
|
|
"torch/csrc/autograd/VariableTypeManual.cpp",
|
|
"torch/csrc/autograd/anomaly_mode.cpp",
|
|
"torch/csrc/autograd/engine.cpp",
|
|
"torch/csrc/autograd/function.cpp",
|
|
"torch/csrc/autograd/functions/accumulate_grad.cpp",
|
|
"torch/csrc/autograd/functions/basic_ops.cpp",
|
|
"torch/csrc/autograd/functions/tensor.cpp",
|
|
"torch/csrc/autograd/functions/utils.cpp",
|
|
"torch/csrc/autograd/grad_mode.cpp",
|
|
"torch/csrc/autograd/input_buffer.cpp",
|
|
"torch/csrc/autograd/profiler.cpp",
|
|
"torch/csrc/autograd/saved_variable.cpp",
|
|
"torch/csrc/autograd/variable.cpp",
|
|
"torch/csrc/Exceptions.cpp",
|
|
"torch/csrc/jit/autodiff.cpp",
|
|
"torch/csrc/jit/attributes.cpp",
|
|
"torch/csrc/jit/constants.cpp",
|
|
"torch/csrc/jit/node_hashing.cpp",
|
|
"torch/csrc/jit/export.cpp",
|
|
"torch/csrc/jit/graph_executor.cpp",
|
|
"torch/csrc/jit/import.cpp",
|
|
"torch/csrc/jit/interpreter.cpp",
|
|
"torch/csrc/jit/ir.cpp",
|
|
"torch/csrc/jit/irparser.cpp",
|
|
"torch/csrc/jit/netdef_converter.cpp",
|
|
"torch/csrc/jit/caffe2_operator.cpp",
|
|
"torch/csrc/jit/register_caffe2_ops.cpp",
|
|
"torch/csrc/jit/register_c10_ops.cpp",
|
|
"torch/csrc/jit/symbolic_script.cpp",
|
|
"torch/csrc/jit/operator.cpp",
|
|
"torch/csrc/jit/passes/alias_analysis.cpp",
|
|
"torch/csrc/jit/passes/batch_mm.cpp",
|
|
"torch/csrc/jit/passes/canonicalize_ops.cpp",
|
|
"torch/csrc/jit/passes/canonicalize.cpp",
|
|
"torch/csrc/jit/passes/common_subexpression_elimination.cpp",
|
|
"torch/csrc/jit/passes/constant_propagation.cpp",
|
|
"torch/csrc/jit/passes/constant_pooling.cpp",
|
|
"torch/csrc/jit/passes/create_autodiff_subgraphs.cpp",
|
|
"torch/csrc/jit/passes/dead_code_elimination.cpp",
|
|
"torch/csrc/jit/passes/erase_number_types.cpp",
|
|
"torch/csrc/jit/passes/graph_fuser.cpp",
|
|
"torch/csrc/jit/passes/inline_autodiff_subgraphs.cpp",
|
|
"torch/csrc/jit/passes/inplace_check.cpp",
|
|
"torch/csrc/jit/passes/loop_unrolling.cpp",
|
|
"torch/csrc/jit/passes/lower_grad_of.cpp",
|
|
"torch/csrc/jit/passes/lower_tuples.cpp",
|
|
"torch/csrc/jit/passes/peephole.cpp",
|
|
"torch/csrc/jit/passes/python_print.cpp",
|
|
"torch/csrc/jit/passes/remove_expands.cpp",
|
|
"torch/csrc/jit/passes/requires_grad_analysis.cpp",
|
|
"torch/csrc/jit/passes/shape_analysis.cpp",
|
|
"torch/csrc/jit/passes/specialize_undef.cpp",
|
|
"torch/csrc/jit/passes/utils/subgraph_utils.cpp",
|
|
"torch/csrc/jit/passes/utils/alias_tracker.cpp",
|
|
"torch/csrc/jit/register_prim_ops.cpp",
|
|
"torch/csrc/jit/register_special_ops.cpp",
|
|
"torch/csrc/jit/scope.cpp",
|
|
"torch/csrc/jit/script/compiler.cpp",
|
|
"torch/csrc/jit/script/edit_distance.cpp",
|
|
"torch/csrc/jit/script/final_returns.cpp",
|
|
"torch/csrc/jit/script/type_parser.cpp",
|
|
"torch/csrc/jit/script/sugared_value.cpp",
|
|
"torch/csrc/jit/script/schema_matching.cpp",
|
|
"torch/csrc/jit/script/parser.cpp",
|
|
"torch/csrc/jit/testing/file_check.cpp",
|
|
"torch/csrc/jit/import_method.cpp",
|
|
"torch/csrc/jit/hooks_for_testing.cpp",
|
|
"torch/csrc/jit/script/builtin_functions.cpp",
|
|
"torch/csrc/jit/script/lexer.cpp",
|
|
"torch/csrc/jit/script/module.cpp",
|
|
"torch/csrc/jit/tracer.cpp",
|
|
"torch/csrc/utils/tensor_flatten.cpp",
|
|
"torch/csrc/utils/variadic.cpp",
|
|
"torch/csrc/jit/fuser/kernel_cache.cpp",
|
|
"torch/csrc/jit/fuser/compiler.cpp",
|
|
"torch/csrc/jit/fuser/executor.cpp",
|
|
"torch/csrc/jit/fuser/codegen.cpp",
|
|
"torch/csrc/jit/fuser/fallback.cpp",
|
|
"torch/csrc/jit/fuser/cpu/fused_kernel.cpp",
|
|
"torch/csrc/jit/fuser/cpu/dynamic_library_unix.cpp",
|
|
"torch/csrc/jit/fuser/interface.cpp",
|
|
]
|
|
|
|
libtorch_cuda_sources = [
|
|
"torch/csrc/cuda/comm.cpp",
|
|
"torch/csrc/cuda/nccl.cpp",
|
|
"torch/csrc/jit/fuser/cuda/fused_kernel.cpp",
|
|
"torch/csrc/autograd/profiler_cuda.cpp",
|
|
"torch/csrc/autograd/functions/comm.cpp"
|
|
]
|
|
|
|
|
|
def add_torch_libs():
|
|
r = {}
|
|
# We start torch_python_sources with all cpp files, and exclude some
|
|
# including the files already contained in the torch and cuda bindings
|
|
globbed_sources = (native.glob(
|
|
["torch/csrc/**/*.cpp"],
|
|
exclude=[
|
|
# remove anything that has "generic" in it"s path
|
|
"torch/csrc/**/generic/**/*.cpp",
|
|
# distributed only uses Module.cpp
|
|
# so remove all other files and just include that
|
|
"torch/csrc/distributed/**/*.cpp",
|
|
],
|
|
) + [
|
|
"torch/csrc/distributed/Module.cpp",
|
|
"torch/csrc/distributed/c10d/init.cpp",
|
|
"torch/csrc/distributed/c10d/ddp.cpp",
|
|
] + [":generate-code=" + x for x in GENERATED_CPP])
|
|
libtorch_python_sources = sets.to_list(sets.difference(
|
|
sets.make(globbed_sources),
|
|
sets.make(libtorch_sources + libtorch_cuda_sources),
|
|
))
|
|
|
|
common_flags = {
|
|
"compiler_flags": [
|
|
"-D_THP_CORE",
|
|
"-DUSE_C10D",
|
|
"-DUSE_CUDNN",
|
|
"-DUSE_DISTRIBUTED",
|
|
"-DUSE_NCCL",
|
|
"-DUSE_NUMPY",
|
|
"-DUSE_SCALARS",
|
|
"-DTH_INDEX_BASE=0",
|
|
"-DNO_CUDNN_DESTROY_HANDLE",
|
|
"-DPYTORCH_ONNX_CAFFE2_BUNDLE",
|
|
"-Wno-write-strings",
|
|
"-Wno-format",
|
|
"-Wno-strict-aliasing",
|
|
"-Wno-non-virtual-dtor",
|
|
"-Wno-shadow-compatible-local",
|
|
"-Wno-empty-body",
|
|
],
|
|
"compiler_specific_flags": {
|
|
"clang": [
|
|
"-Wno-absolute-value",
|
|
"-Wno-expansion-to-defined",
|
|
"-Wno-pessimizing-move",
|
|
"-Wno-return-type-c-linkage",
|
|
"-Wno-unknown-pragmas",
|
|
]
|
|
},
|
|
"headers": native.glob(["torch/csrc/**/*.h", "torch/csrc/generic/*.cpp"]),
|
|
"preprocessor_flags": [
|
|
"-Icaffe2",
|
|
"-Icaffe2/torch/csrc/api/include",
|
|
"-Icaffe2/torch/csrc",
|
|
"-Icaffe2/torch/csrc/nn",
|
|
"-Icaffe2/torch/lib",
|
|
],
|
|
}
|
|
|
|
cpp_library(
|
|
name="libtorch",
|
|
srcs=libtorch_sources,
|
|
link_whole=True,
|
|
deps=[
|
|
":generated-autograd-headers",
|
|
":generated-autograd-headers-bare",
|
|
":generated-jit-headers",
|
|
"//caffe2/aten:ATen-cpu",
|
|
"//caffe2/caffe2:caffe2_cpu",
|
|
"//caffe2/torch/lib/libshm:libshm",
|
|
],
|
|
external_deps=[
|
|
("nanopb", None, "protobuf-nanopb"),
|
|
("protobuf", None),
|
|
],
|
|
**common_flags
|
|
)
|
|
|
|
cpp_library(
|
|
name="libtorch_cuda",
|
|
srcs=libtorch_cuda_sources,
|
|
link_whole=True,
|
|
propagated_pp_flags=[
|
|
"-DUSE_CUDA",
|
|
],
|
|
deps=[
|
|
":generated-autograd-headers",
|
|
":generated-autograd-headers-bare",
|
|
":generated-jit-headers",
|
|
":libtorch",
|
|
"//caffe2/aten:ATen",
|
|
"//caffe2/aten:generated-aten-headers-cuda",
|
|
"//caffe2/caffe2:caffe2_cpu",
|
|
"//caffe2/torch/lib/libshm:libshm",
|
|
],
|
|
external_deps=[
|
|
("cudnn", "7.1.2", "cudnn-lazy"),
|
|
("nccl", "2.1.15", "nccl-lazy"),
|
|
("cuda", None, "nvToolsExt-lazy"),
|
|
("cuda", None, "nvrtc-lazy"),
|
|
("cuda", None, "nvrtc-builtins-lazy"),
|
|
],
|
|
**common_flags
|
|
)
|
|
|
|
cpp_python_extension(
|
|
name="_C",
|
|
srcs=libtorch_python_sources,
|
|
base_module="torch",
|
|
deps=[
|
|
":libtorch_cuda",
|
|
":thnn",
|
|
":torch-lib-headers",
|
|
"//caffe2/torch/lib/THD:THD",
|
|
"//caffe2/torch/lib/c10d:c10d",
|
|
"//caffe2/torch/lib/libshm:libshm",
|
|
],
|
|
external_deps=[
|
|
("numpy", None, "cpp"),
|
|
("pybind11", None),
|
|
],
|
|
**common_flags
|
|
)
|
|
|
|
return r
|