WORKSPACE - platform/external/pytorch - Git at Google

 workspace(name = "pytorch")

 load("@bazel_tools//tools/build_defs/repo:http.bzl", "http_archive")
 load("//tools/rules:workspace.bzl", "new_patched_local_repository")

 http_archive(
     name = "rules_cc",
     patches = [
         "//:tools/rules_cc/cuda_support.patch",
     ],
     strip_prefix = "rules_cc-40548a2974f1aea06215272d9c2b47a14a24e556",
     urls = [
         "https://mirror.bazel.build/github.com/bazelbuild/rules_cc/archive/40548a2974f1aea06215272d9c2b47a14a24e556.tar.gz",
         "https://github.com/bazelbuild/rules_cc/archive/40548a2974f1aea06215272d9c2b47a14a24e556.tar.gz",
     ],
 )

 http_archive(
     name = "rules_cuda",
     strip_prefix = "runtime-b1c7cce21ba4661c17ac72421c6a0e2015e7bef3/third_party/rules_cuda",
     urls = ["https://github.com/tensorflow/runtime/archive/b1c7cce21ba4661c17ac72421c6a0e2015e7bef3.tar.gz"],
 )

 load("@rules_cuda//cuda:dependencies.bzl", "rules_cuda_dependencies")

 rules_cuda_dependencies(with_rules_cc = False)

 load("@rules_cc//cc:repositories.bzl", "rules_cc_toolchains")

 rules_cc_toolchains()

 http_archive(
     name = "bazel_skylib",
     urls = [
         "https://github.com/bazelbuild/bazel-skylib/releases/download/1.0.2/bazel-skylib-1.0.2.tar.gz",
     ],
 )

 http_archive(
     name = "pybind11_bazel",
     strip_prefix = "pybind11_bazel-b162c7c88a253e3f6b673df0c621aca27596ce6b",
     urls = ["https://github.com/pybind/pybind11_bazel/archive/b162c7c88a253e3f6b673df0c621aca27596ce6b.zip"],
 )

 new_local_repository(
     name = "pybind11",
     build_file = "@pybind11_bazel//:pybind11.BUILD",
     path = "third_party/pybind11",
 )

 http_archive(
     name = "com_github_glog",
     build_file_content = """
 licenses(['notice'])

 load(':bazel/glog.bzl', 'glog_library')
 # TODO: figure out why enabling gflags leads to SIGSEV on the logging init
 glog_library(with_gflags=0)
     """,
     strip_prefix = "glog-0.4.0",
     urls = [
         "https://github.com/google/glog/archive/v0.4.0.tar.gz",
     ],
 )

 http_archive(
     name = "com_github_gflags_gflags",
     strip_prefix = "gflags-2.2.2",
     urls = [
         "https://github.com/gflags/gflags/archive/v2.2.2.tar.gz",
     ],
 )

 http_archive(
     name = "com_github_opentelemetry-cpp",
     urls = [
         "https://github.com/open-telemetry/opentelemetry-cpp/archive/refs/tags/v1.14.2.tar.gz",
     ],
 )

 new_local_repository(
     name = "gloo",
     build_file = "//third_party:gloo.BUILD",
     path = "third_party/gloo",
 )

 new_local_repository(
     name = "onnx",
     build_file = "//third_party:onnx.BUILD",
     path = "third_party/onnx",
 )

 new_local_repository(
     name = "foxi",
     build_file = "//third_party:foxi.BUILD",
     path = "third_party/foxi",
 )

 local_repository(
     name = "com_google_protobuf",
     path = "third_party/protobuf",
 )

 new_local_repository(
     name = "eigen",
     build_file = "//third_party:eigen.BUILD",
     path = "third_party/eigen",
 )

 new_local_repository(
     name = "cutlass",
     build_file = "//third_party:cutlass.BUILD",
     path = "third_party/cutlass",
 )

 new_local_repository(
     name = "fbgemm",
     build_file = "//third_party:fbgemm/BUILD.bazel",
     path = "third_party/fbgemm",
     repo_mapping = {"@cpuinfo": "@org_pytorch_cpuinfo"},
 )

 new_local_repository(
     name = "ideep",
     build_file = "//third_party:ideep.BUILD",
     path = "third_party/ideep",
 )

 new_local_repository(
     name = "mkl_dnn",
     build_file = "//third_party:mkl-dnn.BUILD",
     path = "third_party/ideep/mkl-dnn",
 )

 new_local_repository(
     name = "org_pytorch_cpuinfo",
     build_file = "//third_party:cpuinfo/BUILD.bazel",
     path = "third_party/cpuinfo",
 )

 new_local_repository(
     name = "asmjit",
     build_file = "//third_party:fbgemm/third_party/asmjit.BUILD",
     path = "third_party/fbgemm/third_party/asmjit",
 )

 new_local_repository(
     name = "sleef",
     build_file = "//third_party:sleef.BUILD",
     path = "third_party/sleef",
 )

 new_local_repository(
     name = "fmt",
     build_file = "//third_party:fmt.BUILD",
     path = "third_party/fmt",
 )

 new_local_repository(
     name = "kineto",
     build_file = "//third_party:kineto.BUILD",
     path = "third_party/kineto",
 )

 new_local_repository(
     name = "opentelemetry-cpp",
     build_file = "//third_party::opentelemetry-cpp.BUILD",
     path = "third_party/opentelemetry-cpp",
 )

 new_patched_local_repository(
     name = "tbb",
     build_file = "//third_party:tbb.BUILD",
     patch_strip = 1,
     patches = [
         "@//third_party:tbb.patch",
     ],
     path = "third_party/tbb",
 )

 new_local_repository(
     name = "tensorpipe",
     build_file = "//third_party:tensorpipe.BUILD",
     path = "third_party/tensorpipe",
 )

 http_archive(
     name = "mkl",
     build_file = "//third_party:mkl.BUILD",
     sha256 = "59154b30dd74561e90d547f9a3af26c75b6f4546210888f09c9d4db8f4bf9d4c",
     strip_prefix = "lib",
     urls = [
         "https://anaconda.org/anaconda/mkl/2020.0/download/linux-64/mkl-2020.0-166.tar.bz2",
     ],
 )

 http_archive(
     name = "mkl_headers",
     build_file = "//third_party:mkl_headers.BUILD",
     sha256 = "2af3494a4bebe5ddccfdc43bacc80fcd78d14c1954b81d2c8e3d73b55527af90",
     urls = [
         "https://anaconda.org/anaconda/mkl-include/2020.0/download/linux-64/mkl-include-2020.0-166.tar.bz2",
     ],
 )

 http_archive(
     name = "rules_python",
     # TODO Fix bazel linter to support hashes for release tarballs.
     #
     # sha256 = "94750828b18044533e98a129003b6a68001204038dc4749f40b195b24c38f49f",
     strip_prefix = "rules_python-0.21.0",
     url = "https://github.com/bazelbuild/rules_python/releases/download/0.21.0/rules_python-0.21.0.tar.gz",
 )

 load("@rules_python//python:repositories.bzl", "py_repositories")

 py_repositories()

 load("@rules_python//python:repositories.bzl", "python_register_toolchains")

 python_register_toolchains(
     name = "python3_10",
     python_version = "3.10",
 )

 load("@python3_10//:defs.bzl", "interpreter")
 load("@rules_python//python:pip.bzl", "pip_parse")

 pip_parse(
     name = "pip_deps",
     python_interpreter_target = interpreter,
     requirements_lock = "//:tools/build/bazel/requirements.txt",
 )

 load("@pip_deps//:requirements.bzl", "install_deps")

 install_deps()

 load("@pybind11_bazel//:python_configure.bzl", "python_configure")

 python_configure(
     name = "local_config_python",
     python_interpreter_target = interpreter,
 )

 load("@com_google_protobuf//:protobuf_deps.bzl", "protobuf_deps")

 protobuf_deps()

 new_local_repository(
     name = "cuda",
     build_file = "@//third_party:cuda.BUILD",
     path = "/usr/local/cuda",
 )

 new_local_repository(
     name = "cudnn",
     build_file = "@//third_party:cudnn.BUILD",
     path = "/usr/local/cuda",
 )

 new_local_repository(
     name = "cudnn_frontend",
     build_file = "@//third_party:cudnn_frontend.BUILD",
     path = "third_party/cudnn_frontend/",
 )

 local_repository(
     name = "com_github_google_flatbuffers",
     path = "third_party/flatbuffers",
 )

 local_repository(
     name = "google_benchmark",
     path = "third_party/benchmark",
 )

 local_repository(
     name = "com_google_googletest",
     path = "third_party/googletest",
 )

 local_repository(
     name = "pthreadpool",
     path = "third_party/pthreadpool",
     repo_mapping = {"@com_google_benchmark": "@google_benchmark"},
 )

 local_repository(
     name = "FXdiv",
     path = "third_party/FXdiv",
     repo_mapping = {"@com_google_benchmark": "@google_benchmark"},
 )

 local_repository(
     name = "XNNPACK",
     path = "third_party/XNNPACK",
     repo_mapping = {"@com_google_benchmark": "@google_benchmark"},
 )

 local_repository(
     name = "gemmlowp",
     path = "third_party/gemmlowp/gemmlowp",
 )

 ### Unused repos start

 # `unused` repos are defined to hide bazel files from submodules of submodules.
 # This allows us to run `bazel build //...` and not worry about the submodules madness.
 # Otherwise everything traverses recursively and a lot of submodules of submodules have
 # they own bazel build files.

 local_repository(
     name = "unused_tensorpipe_googletest",
     path = "third_party/tensorpipe/third_party/googletest",
 )

 local_repository(
     name = "unused_fbgemm",
     path = "third_party/fbgemm",
 )

 local_repository(
     name = "unused_ftm_bazel",
     path = "third_party/fmt/support/bazel",
 )

 local_repository(
     name = "unused_kineto_fmt_bazel",
     path = "third_party/kineto/libkineto/third_party/fmt/support/bazel",
 )

 local_repository(
     name = "unused_kineto_dynolog_googletest",
     path = "third_party/kineto/libkineto/third_party/dynolog/third_party/googletest",
 )

 local_repository(
     name = "unused_kineto_dynolog_gflags",
     path = "third_party/kineto/libkineto/third_party/dynolog/third_party/gflags",
 )

 local_repository(
     name = "unused_kineto_dynolog_glog",
     path = "third_party/kineto/libkineto/third_party/dynolog/third_party/glog",
 )

 local_repository(
     name = "unused_kineto_googletest",
     path = "third_party/kineto/libkineto/third_party/googletest",
 )

 local_repository(
     name = "unused_onnx_benchmark",
     path = "third_party/onnx/third_party/benchmark",
 )

 ### Unused repos end
	workspace(name = "pytorch")

	load("@bazel_tools//tools/build_defs/repo:http.bzl", "http_archive")
	load("//tools/rules:workspace.bzl", "new_patched_local_repository")

	http_archive(
	name = "rules_cc",
	patches = [
	"//:tools/rules_cc/cuda_support.patch",
	],
	strip_prefix = "rules_cc-40548a2974f1aea06215272d9c2b47a14a24e556",
	urls = [
	"https://mirror.bazel.build/github.com/bazelbuild/rules_cc/archive/40548a2974f1aea06215272d9c2b47a14a24e556.tar.gz",
	"https://github.com/bazelbuild/rules_cc/archive/40548a2974f1aea06215272d9c2b47a14a24e556.tar.gz",
	],
	)

	http_archive(
	name = "rules_cuda",
	strip_prefix = "runtime-b1c7cce21ba4661c17ac72421c6a0e2015e7bef3/third_party/rules_cuda",
	urls = ["https://github.com/tensorflow/runtime/archive/b1c7cce21ba4661c17ac72421c6a0e2015e7bef3.tar.gz"],
	)

	load("@rules_cuda//cuda:dependencies.bzl", "rules_cuda_dependencies")

	rules_cuda_dependencies(with_rules_cc = False)

	load("@rules_cc//cc:repositories.bzl", "rules_cc_toolchains")

	rules_cc_toolchains()

	http_archive(
	name = "bazel_skylib",
	urls = [
	"https://github.com/bazelbuild/bazel-skylib/releases/download/1.0.2/bazel-skylib-1.0.2.tar.gz",
	],
	)

	http_archive(
	name = "pybind11_bazel",
	strip_prefix = "pybind11_bazel-b162c7c88a253e3f6b673df0c621aca27596ce6b",
	urls = ["https://github.com/pybind/pybind11_bazel/archive/b162c7c88a253e3f6b673df0c621aca27596ce6b.zip"],
	)

	new_local_repository(
	name = "pybind11",
	build_file = "@pybind11_bazel//:pybind11.BUILD",
	path = "third_party/pybind11",
	)

	http_archive(
	name = "com_github_glog",
	build_file_content = """
	licenses(['notice'])

	load(':bazel/glog.bzl', 'glog_library')
	# TODO: figure out why enabling gflags leads to SIGSEV on the logging init
	glog_library(with_gflags=0)
	""",
	strip_prefix = "glog-0.4.0",
	urls = [
	"https://github.com/google/glog/archive/v0.4.0.tar.gz",
	],
	)

	http_archive(
	name = "com_github_gflags_gflags",
	strip_prefix = "gflags-2.2.2",
	urls = [
	"https://github.com/gflags/gflags/archive/v2.2.2.tar.gz",
	],
	)

	http_archive(
	name = "com_github_opentelemetry-cpp",
	urls = [
	"https://github.com/open-telemetry/opentelemetry-cpp/archive/refs/tags/v1.14.2.tar.gz",
	],
	)

	new_local_repository(
	name = "gloo",
	build_file = "//third_party:gloo.BUILD",
	path = "third_party/gloo",
	)

	new_local_repository(
	name = "onnx",
	build_file = "//third_party:onnx.BUILD",
	path = "third_party/onnx",
	)

	new_local_repository(
	name = "foxi",
	build_file = "//third_party:foxi.BUILD",
	path = "third_party/foxi",
	)

	local_repository(
	name = "com_google_protobuf",
	path = "third_party/protobuf",
	)

	new_local_repository(
	name = "eigen",
	build_file = "//third_party:eigen.BUILD",
	path = "third_party/eigen",
	)

	new_local_repository(
	name = "cutlass",
	build_file = "//third_party:cutlass.BUILD",
	path = "third_party/cutlass",
	)

	new_local_repository(
	name = "fbgemm",
	build_file = "//third_party:fbgemm/BUILD.bazel",
	path = "third_party/fbgemm",
	repo_mapping = {"@cpuinfo": "@org_pytorch_cpuinfo"},
	)

	new_local_repository(
	name = "ideep",
	build_file = "//third_party:ideep.BUILD",
	path = "third_party/ideep",
	)

	new_local_repository(
	name = "mkl_dnn",
	build_file = "//third_party:mkl-dnn.BUILD",
	path = "third_party/ideep/mkl-dnn",
	)

	new_local_repository(
	name = "org_pytorch_cpuinfo",
	build_file = "//third_party:cpuinfo/BUILD.bazel",
	path = "third_party/cpuinfo",
	)

	new_local_repository(
	name = "asmjit",
	build_file = "//third_party:fbgemm/third_party/asmjit.BUILD",
	path = "third_party/fbgemm/third_party/asmjit",
	)

	new_local_repository(
	name = "sleef",
	build_file = "//third_party:sleef.BUILD",
	path = "third_party/sleef",
	)

	new_local_repository(
	name = "fmt",
	build_file = "//third_party:fmt.BUILD",
	path = "third_party/fmt",
	)

	new_local_repository(
	name = "kineto",
	build_file = "//third_party:kineto.BUILD",
	path = "third_party/kineto",
	)

	new_local_repository(
	name = "opentelemetry-cpp",
	build_file = "//third_party::opentelemetry-cpp.BUILD",
	path = "third_party/opentelemetry-cpp",
	)

	new_patched_local_repository(
	name = "tbb",
	build_file = "//third_party:tbb.BUILD",
	patch_strip = 1,
	patches = [
	"@//third_party:tbb.patch",
	],
	path = "third_party/tbb",
	)

	new_local_repository(
	name = "tensorpipe",
	build_file = "//third_party:tensorpipe.BUILD",
	path = "third_party/tensorpipe",
	)

	http_archive(
	name = "mkl",
	build_file = "//third_party:mkl.BUILD",
	sha256 = "59154b30dd74561e90d547f9a3af26c75b6f4546210888f09c9d4db8f4bf9d4c",
	strip_prefix = "lib",
	urls = [
	"https://anaconda.org/anaconda/mkl/2020.0/download/linux-64/mkl-2020.0-166.tar.bz2",
	],
	)

	http_archive(
	name = "mkl_headers",
	build_file = "//third_party:mkl_headers.BUILD",
	sha256 = "2af3494a4bebe5ddccfdc43bacc80fcd78d14c1954b81d2c8e3d73b55527af90",
	urls = [
	"https://anaconda.org/anaconda/mkl-include/2020.0/download/linux-64/mkl-include-2020.0-166.tar.bz2",
	],
	)

	http_archive(
	name = "rules_python",
	# TODO Fix bazel linter to support hashes for release tarballs.
	#
	# sha256 = "94750828b18044533e98a129003b6a68001204038dc4749f40b195b24c38f49f",
	strip_prefix = "rules_python-0.21.0",
	url = "https://github.com/bazelbuild/rules_python/releases/download/0.21.0/rules_python-0.21.0.tar.gz",
	)

	load("@rules_python//python:repositories.bzl", "py_repositories")

	py_repositories()

	load("@rules_python//python:repositories.bzl", "python_register_toolchains")

	python_register_toolchains(
	name = "python3_10",
	python_version = "3.10",
	)

	load("@python3_10//:defs.bzl", "interpreter")
	load("@rules_python//python:pip.bzl", "pip_parse")

	pip_parse(
	name = "pip_deps",
	python_interpreter_target = interpreter,
	requirements_lock = "//:tools/build/bazel/requirements.txt",
	)

	load("@pip_deps//:requirements.bzl", "install_deps")

	install_deps()

	load("@pybind11_bazel//:python_configure.bzl", "python_configure")

	python_configure(
	name = "local_config_python",
	python_interpreter_target = interpreter,
	)

	load("@com_google_protobuf//:protobuf_deps.bzl", "protobuf_deps")

	protobuf_deps()

	new_local_repository(
	name = "cuda",
	build_file = "@//third_party:cuda.BUILD",
	path = "/usr/local/cuda",
	)

	new_local_repository(
	name = "cudnn",
	build_file = "@//third_party:cudnn.BUILD",
	path = "/usr/local/cuda",
	)

	new_local_repository(
	name = "cudnn_frontend",
	build_file = "@//third_party:cudnn_frontend.BUILD",
	path = "third_party/cudnn_frontend/",
	)

	local_repository(
	name = "com_github_google_flatbuffers",
	path = "third_party/flatbuffers",
	)

	local_repository(
	name = "google_benchmark",
	path = "third_party/benchmark",
	)

	local_repository(
	name = "com_google_googletest",
	path = "third_party/googletest",
	)

	local_repository(
	name = "pthreadpool",
	path = "third_party/pthreadpool",
	repo_mapping = {"@com_google_benchmark": "@google_benchmark"},
	)

	local_repository(
	name = "FXdiv",
	path = "third_party/FXdiv",
	repo_mapping = {"@com_google_benchmark": "@google_benchmark"},
	)

	local_repository(
	name = "XNNPACK",
	path = "third_party/XNNPACK",
	repo_mapping = {"@com_google_benchmark": "@google_benchmark"},
	)

	local_repository(
	name = "gemmlowp",
	path = "third_party/gemmlowp/gemmlowp",
	)

	### Unused repos start

	# `unused` repos are defined to hide bazel files from submodules of submodules.
	# This allows us to run `bazel build //...` and not worry about the submodules madness.
	# Otherwise everything traverses recursively and a lot of submodules of submodules have
	# they own bazel build files.

	local_repository(
	name = "unused_tensorpipe_googletest",
	path = "third_party/tensorpipe/third_party/googletest",
	)

	local_repository(
	name = "unused_fbgemm",
	path = "third_party/fbgemm",
	)

	local_repository(
	name = "unused_ftm_bazel",
	path = "third_party/fmt/support/bazel",
	)

	local_repository(
	name = "unused_kineto_fmt_bazel",
	path = "third_party/kineto/libkineto/third_party/fmt/support/bazel",
	)

	local_repository(
	name = "unused_kineto_dynolog_googletest",
	path = "third_party/kineto/libkineto/third_party/dynolog/third_party/googletest",
	)

	local_repository(
	name = "unused_kineto_dynolog_gflags",
	path = "third_party/kineto/libkineto/third_party/dynolog/third_party/gflags",
	)

	local_repository(
	name = "unused_kineto_dynolog_glog",
	path = "third_party/kineto/libkineto/third_party/dynolog/third_party/glog",
	)

	local_repository(
	name = "unused_kineto_googletest",
	path = "third_party/kineto/libkineto/third_party/googletest",
	)

	local_repository(
	name = "unused_onnx_benchmark",
	path = "third_party/onnx/third_party/benchmark",
	)

	### Unused repos end