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build.bzl
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load(
":ufunc_defs.bzl",
"aten_ufunc_generated_cpu_kernel_sources",
"aten_ufunc_generated_cpu_sources",
"aten_ufunc_generated_cuda_sources",
)
def define_targets(rules):
rules.cc_library(
name = "caffe2_core_macros",
hdrs = [":caffe2_core_macros_h"],
)
rules.cmake_configure_file(
name = "caffe2_core_macros_h",
src = "caffe2/core/macros.h.in",
out = "caffe2/core/macros.h",
definitions = [
"CAFFE2_BUILD_SHARED_LIBS",
"CAFFE2_PERF_WITH_AVX",
"CAFFE2_PERF_WITH_AVX2",
"CAFFE2_USE_EXCEPTION_PTR",
"CAFFE2_USE_CUDNN",
"USE_MKLDNN",
"CAFFE2_USE_ITT",
"USE_ROCM_KERNEL_ASSERT",
"EIGEN_MPL2_ONLY",
],
)
rules.cc_library(
name = "caffe2_serialize",
srcs = [
"caffe2/serialize/file_adapter.cc",
"caffe2/serialize/inline_container.cc",
"caffe2/serialize/istream_adapter.cc",
],
copts = ["-fexceptions"],
tags = [
"-fbcode",
"supermodule:android/default/pytorch",
"supermodule:ios/default/public.pytorch",
"xplat",
],
visibility = ["//visibility:public"],
deps = [
":caffe2_headers",
"//c10",
"//third_party/miniz-2.1.0:miniz",
"@com_github_glog//:glog",
],
)
#
# ATen generated code
# You need to keep this is sync with the files written out
# by gen.py (in the cmake build system, we track generated files
# via generated_cpp.txt and generated_cpp.txt-cuda
#
# Sure would be nice to use gen.py to create this list dynamically
# instead of hardcoding, no? Well, we can't, as discussed in this
# thread:
# https://fb.facebook.com/groups/askbuck/permalink/1924258337622772/
gen_aten_srcs = [
"aten/src/ATen/native/native_functions.yaml",
"aten/src/ATen/native/tags.yaml",
] + rules.glob(["aten/src/ATen/templates/*"])
gen_aten_cmd = " ".join([
"$(execpath //torchgen:gen)",
"--install_dir=$(RULEDIR)",
"--source-path aten/src/ATen",
"--aoti_install_dir=$(RULEDIR)/torch/csrc/inductor/aoti_torch/generated"
] + (["--static_dispatch_backend CPU"] if rules.is_cpu_static_dispatch_build() else []))
gen_aten_outs_cuda = (
GENERATED_H_CUDA + GENERATED_CPP_CUDA + GENERATED_AOTI_CUDA_CPP +
aten_ufunc_generated_cuda_sources()
)
gen_aten_outs = (
GENERATED_H + GENERATED_H_CORE +
GENERATED_CPP + GENERATED_CPP_CORE +
GENERATED_AOTI_CPP +
aten_ufunc_generated_cpu_sources() +
aten_ufunc_generated_cpu_kernel_sources() + [
"Declarations.yaml",
] + gen_aten_outs_cuda
)
rules.genrule(
name = "gen_aten",
srcs = gen_aten_srcs,
outs = gen_aten_outs,
cmd = gen_aten_cmd,
tools = ["//torchgen:gen"],
)
rules.genrule(
name = "gen_aten_hip",
srcs = gen_aten_srcs,
outs = gen_aten_outs_cuda,
cmd = gen_aten_cmd + " --rocm",
features = ["-create_bazel_outputs"],
tags = ["-bazel"],
tools = ["//torchgen:gen"],
)
rules.genrule(
name = "generate-code",
srcs = [
":DispatchKeyNativeFunctions.cpp",
":DispatchKeyNativeFunctions.h",
":LazyIr.h",
":LazyNonNativeIr.h",
":RegisterDispatchDefinitions.ini",
":RegisterDispatchKey.cpp",
":native_functions.yaml",
":shape_inference.h",
":tags.yaml",
":ts_native_functions.cpp",
":ts_native_functions.yaml",
],
outs = GENERATED_AUTOGRAD_CPP + GENERATED_AUTOGRAD_PYTHON + GENERATED_TESTING_PY,
cmd = "$(execpath //tools/setup_helpers:generate_code) " +
"--gen-dir=$(RULEDIR) " +
"--native-functions-path $(location :native_functions.yaml) " +
"--tags-path=$(location :tags.yaml) " +
"--gen_lazy_ts_backend",
tools = ["//tools/setup_helpers:generate_code"],
)
rules.cc_library(
name = "generated-autograd-headers",
hdrs = [":{}".format(h) for h in _GENERATED_AUTOGRAD_CPP_HEADERS + _GENERATED_AUTOGRAD_PYTHON_HEADERS],
visibility = ["//visibility:public"],
)
rules.genrule(
name = "version_h",
srcs = [
":torch/csrc/api/include/torch/version.h.in",
":version.txt",
],
outs = ["torch/csrc/api/include/torch/version.h"],
cmd = "$(execpath //tools/setup_helpers:gen_version_header) " +
"--template-path $(location :torch/csrc/api/include/torch/version.h.in) " +
"--version-path $(location :version.txt) --output-path $@ ",
tools = ["//tools/setup_helpers:gen_version_header"],
)
#
# ATen generated code
# You need to keep this is sync with the files written out
# by gen.py (in the cmake build system, we track generated files
# via generated_cpp.txt and generated_cpp.txt-cuda
#
# Sure would be nice to use gen.py to create this list dynamically
# instead of hardcoding, no? Well, we can't, as discussed in this
# thread:
# https://fb.facebook.com/groups/askbuck/permalink/1924258337622772/
GENERATED_H = [
"Functions.h",
"NativeFunctions.h",
"NativeMetaFunctions.h",
"FunctionalInverses.h",
"RedispatchFunctions.h",
"RegistrationDeclarations.h",
"VmapGeneratedPlumbing.h",
]
GENERATED_H_CORE = [
"Operators.h",
# CPUFunctions.h (and likely similar headers) need to be part of core because
# of the static dispatch build: TensorBody.h directly includes CPUFunctions.h.
# The disinction looks pretty arbitrary though; maybe will can kill core
# and merge the two?
"CPUFunctions.h",
"CPUFunctions_inl.h",
"CompositeExplicitAutogradFunctions.h",
"CompositeExplicitAutogradFunctions_inl.h",
"CompositeExplicitAutogradNonFunctionalFunctions.h",
"CompositeExplicitAutogradNonFunctionalFunctions_inl.h",
"CompositeImplicitAutogradFunctions.h",
"CompositeImplicitAutogradFunctions_inl.h",
"CompositeImplicitAutogradNestedTensorFunctions.h",
"CompositeImplicitAutogradNestedTensorFunctions_inl.h",
"MetaFunctions.h",
"MetaFunctions_inl.h",
"core/TensorBody.h",
"MethodOperators.h",
"core/aten_interned_strings.h",
"core/enum_tag.h",
]
GENERATED_H_CUDA = [
"CUDAFunctions.h",
"CUDAFunctions_inl.h",
]
GENERATED_CPP_CUDA = [
"RegisterCUDA.cpp",
"RegisterNestedTensorCUDA.cpp",
"RegisterSparseCUDA.cpp",
"RegisterSparseCsrCUDA.cpp",
"RegisterQuantizedCUDA.cpp",
]
GENERATED_CPP = [
"Functions.cpp",
"RegisterBackendSelect.cpp",
"RegisterCPU.cpp",
"RegisterQuantizedCPU.cpp",
"RegisterNestedTensorCPU.cpp",
"RegisterSparseCPU.cpp",
"RegisterSparseCsrCPU.cpp",
"RegisterMkldnnCPU.cpp",
"RegisterCompositeImplicitAutograd.cpp",
"RegisterCompositeImplicitAutogradNestedTensor.cpp",
"RegisterZeroTensor.cpp",
"RegisterMeta.cpp",
"RegisterQuantizedMeta.cpp",
"RegisterNestedTensorMeta.cpp",
"RegisterSparseMeta.cpp",
"RegisterCompositeExplicitAutograd.cpp",
"RegisterCompositeExplicitAutogradNonFunctional.cpp",
"CompositeViewCopyKernels.cpp",
"RegisterSchema.cpp",
"RegisterFunctionalization_0.cpp",
"RegisterFunctionalization_1.cpp",
"RegisterFunctionalization_2.cpp",
"RegisterFunctionalization_3.cpp",
]
GENERATED_CPP_CORE = [
"Operators_0.cpp",
"Operators_1.cpp",
"Operators_2.cpp",
"Operators_3.cpp",
"Operators_4.cpp",
"core/ATenOpList.cpp",
"core/TensorMethods.cpp",
]
# These lists are temporarily living in and exported from the shared
# structure so that an internal build that lives under a different
# root can access them. These could technically live in a separate
# file in the same directory but that would require extra work to
# ensure that file is synced to both Meta internal repositories and
# GitHub. This problem will go away when the targets downstream of
# generate-code that use these lists are moved into the shared
# structure as well.
_GENERATED_AUTOGRAD_PYTHON_HEADERS = [
"torch/csrc/autograd/generated/python_functions.h",
"torch/csrc/autograd/generated/python_return_types.h",
]
_GENERATED_AUTOGRAD_CPP_HEADERS = [
"torch/csrc/autograd/generated/Functions.h",
"torch/csrc/autograd/generated/VariableType.h",
"torch/csrc/autograd/generated/ViewFuncs.h",
"torch/csrc/autograd/generated/variable_factories.h",
]
GENERATED_TESTING_PY = [
"torch/testing/_internal/generated/annotated_fn_args.py",
]
GENERATED_LAZY_H = [
"torch/csrc/lazy/generated/LazyIr.h",
"torch/csrc/lazy/generated/LazyNonNativeIr.h",
"torch/csrc/lazy/generated/LazyNativeFunctions.h",
]
_GENERATED_AUTOGRAD_PYTHON_CPP = [
"torch/csrc/autograd/generated/python_functions_0.cpp",
"torch/csrc/autograd/generated/python_functions_1.cpp",
"torch/csrc/autograd/generated/python_functions_2.cpp",
"torch/csrc/autograd/generated/python_functions_3.cpp",
"torch/csrc/autograd/generated/python_functions_4.cpp",
"torch/csrc/autograd/generated/python_nn_functions.cpp",
"torch/csrc/autograd/generated/python_nested_functions.cpp",
"torch/csrc/autograd/generated/python_fft_functions.cpp",
"torch/csrc/autograd/generated/python_linalg_functions.cpp",
"torch/csrc/autograd/generated/python_return_types.cpp",
"torch/csrc/autograd/generated/python_enum_tag.cpp",
"torch/csrc/autograd/generated/python_sparse_functions.cpp",
"torch/csrc/autograd/generated/python_special_functions.cpp",
"torch/csrc/autograd/generated/python_torch_functions_0.cpp",
"torch/csrc/autograd/generated/python_torch_functions_1.cpp",
"torch/csrc/autograd/generated/python_torch_functions_2.cpp",
"torch/csrc/autograd/generated/python_variable_methods.cpp",
]
GENERATED_AUTOGRAD_PYTHON = _GENERATED_AUTOGRAD_PYTHON_HEADERS + _GENERATED_AUTOGRAD_PYTHON_CPP
GENERATED_AUTOGRAD_CPP = [
"torch/csrc/autograd/generated/Functions.cpp",
"torch/csrc/autograd/generated/VariableType_0.cpp",
"torch/csrc/autograd/generated/VariableType_1.cpp",
"torch/csrc/autograd/generated/VariableType_2.cpp",
"torch/csrc/autograd/generated/VariableType_3.cpp",
"torch/csrc/autograd/generated/VariableType_4.cpp",
"torch/csrc/autograd/generated/ViewFuncs.cpp",
"torch/csrc/autograd/generated/TraceType_0.cpp",
"torch/csrc/autograd/generated/TraceType_1.cpp",
"torch/csrc/autograd/generated/TraceType_2.cpp",
"torch/csrc/autograd/generated/TraceType_3.cpp",
"torch/csrc/autograd/generated/TraceType_4.cpp",
"torch/csrc/autograd/generated/ADInplaceOrViewType_0.cpp",
"torch/csrc/autograd/generated/ADInplaceOrViewType_1.cpp",
"torch/csrc/lazy/generated/LazyNativeFunctions.cpp",
"torch/csrc/lazy/generated/RegisterAutogradLazy.cpp",
"torch/csrc/lazy/generated/RegisterLazy.cpp",
] + _GENERATED_AUTOGRAD_CPP_HEADERS + GENERATED_LAZY_H
GENERATED_AOTI_CPP = [
"torch/csrc/inductor/aoti_torch/generated/c_shim_cpu.cpp",
]
GENERATED_AOTI_CUDA_CPP = [
"torch/csrc/inductor/aoti_torch/generated/c_shim_cuda.cpp",
]