kse-01/tensorflow/third_party/mkl_dnn/mkldnn.BUILD
github-classroom[bot] 1122cdd8b0
Initial commit
2023-10-09 11:37:31 +00:00

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exports_files(["LICENSE"])
load(
"@org_tensorflow//third_party/mkl_dnn:build_defs.bzl",
"if_mkl_open_source_only",
"if_mkl_v1_open_source_only",
)
load(
"@org_tensorflow//third_party:common.bzl",
"template_rule",
)
config_setting(
name = "clang_linux_x86_64",
values = {
"cpu": "k8",
"define": "using_clang=true",
},
)
template_rule(
name = "mkldnn_config_h",
src = "include/mkldnn_config.h.in",
out = "include/mkldnn_config.h",
substitutions = {
"#cmakedefine MKLDNN_CPU_BACKEND MKLDNN_BACKEND_${MKLDNN_CPU_BACKEND}": "#define MKLDNN_CPU_BACKEND MKLDNN_BACKEND_NATIVE",
"#cmakedefine MKLDNN_GPU_BACKEND MKLDNN_BACKEND_${MKLDNN_GPU_BACKEND}": "#define MKLDNN_GPU_BACKEND MKLDNN_BACKEND_NONE",
},
)
# Create the file mkldnn_version.h with MKL-DNN version numbers.
# Currently, the version numbers are hard coded here. If MKL-DNN is upgraded then
# the version numbers have to be updated manually. The version numbers can be
# obtained from the PROJECT_VERSION settings in CMakeLists.txt. The variable is
# set to "version_major.version_minor.version_patch". The git hash version can
# be set to NA.
# TODO(agramesh1) Automatically get the version numbers from CMakeLists.txt.
# TODO(bhavanis): MKL-DNN minor version needs to be updated for MKL-DNN v1.x.
# The current version numbers will work only if MKL-DNN v0.21 is used.
template_rule(
name = "mkldnn_version_h",
src = "include/mkldnn_version.h.in",
out = "include/mkldnn_version.h",
substitutions = {
"@MKLDNN_VERSION_MAJOR@": "0",
"@MKLDNN_VERSION_MINOR@": "21",
"@MKLDNN_VERSION_PATCH@": "3",
"@MKLDNN_VERSION_HASH@": "N/A",
},
)
cc_library(
name = "mkl_dnn",
srcs = glob([
"src/common/*.cpp",
"src/common/*.hpp",
"src/cpu/*.cpp",
"src/cpu/*.hpp",
"src/cpu/**/*.cpp",
"src/cpu/**/*.hpp",
"src/cpu/xbyak/*.h",
]) + if_mkl_v1_open_source_only([
":mkldnn_config_h",
]) + [":mkldnn_version_h"],
hdrs = glob(["include/*"]),
copts = [
"-fexceptions",
"-DUSE_MKL",
"-DUSE_CBLAS",
] + if_mkl_open_source_only([
"-UUSE_MKL",
"-UUSE_CBLAS",
]) + if_mkl_v1_open_source_only([
"-UUSE_MKL",
"-UUSE_CBLAS",
]) + select({
"@org_tensorflow//tensorflow:linux_x86_64": [
"-fopenmp", # only works with gcc
],
# TODO(ibiryukov): enable openmp with clang by including libomp as a
# dependency.
":clang_linux_x86_64": [],
"//conditions:default": [],
}),
includes = [
"include",
"src",
"src/common",
"src/cpu",
"src/cpu/gemm",
"src/cpu/xbyak",
],
visibility = ["//visibility:public"],
deps = select({
"@org_tensorflow//tensorflow:linux_x86_64": [
"@mkl_linux//:mkl_headers",
"@mkl_linux//:mkl_libs_linux",
],
"@org_tensorflow//tensorflow:macos": [
"@mkl_darwin//:mkl_headers",
"@mkl_darwin//:mkl_libs_darwin",
],
"@org_tensorflow//tensorflow:windows": [
"@mkl_windows//:mkl_headers",
"@mkl_windows//:mkl_libs_windows",
],
"//conditions:default": [],
}),
)
cc_library(
name = "mkldnn_single_threaded",
srcs = glob([
"src/common/*.cpp",
"src/common/*.hpp",
"src/cpu/*.cpp",
"src/cpu/*.hpp",
"src/cpu/**/*.cpp",
"src/cpu/**/*.hpp",
"src/cpu/xbyak/*.h",
]) + [":mkldnn_version_h"],
hdrs = glob(["include/*"]),
copts = [
"-fexceptions",
"-DMKLDNN_THR=MKLDNN_THR_SEQ", # Disables threading.
],
includes = [
"include",
"src",
"src/common",
"src/cpu",
"src/cpu/gemm",
"src/cpu/xbyak",
],
visibility = ["//visibility:public"],
)