| # Description: |
| # Tools for building the TensorFlow pip package. |
| |
| load("//tensorflow:tensorflow.bzl", "filegroup_as_file", "if_windows", "transitive_hdrs") |
| load("//third_party/mkl:build_defs.bzl", "if_mkl", "if_mkl_ml") |
| load("@local_config_cuda//cuda:build_defs.bzl", "if_cuda") |
| load("@local_config_syslibs//:build_defs.bzl", "if_not_system_lib") |
| load("//tensorflow/core/platform:build_config_root.bzl", "tf_additional_license_deps") |
| load("//third_party/ngraph:build_defs.bzl", "if_ngraph") |
| |
| package(default_visibility = ["//visibility:private"]) |
| |
| # This returns a list of headers of all public header libraries (e.g., |
| # framework, lib), and all of the transitive dependencies of those |
| # public headers. Not all of the headers returned by the filegroup |
| # are public (e.g., internal headers that are included by public |
| # headers), but the internal headers need to be packaged in the |
| # pip_package for the public headers to be properly included. |
| # |
| # Public headers are therefore defined by those that are both: |
| # |
| # 1) "publicly visible" as defined by bazel |
| # 2) Have documentation. |
| # |
| # This matches the policy of "public" for our python API. |
| transitive_hdrs( |
| name = "included_headers", |
| deps = [ |
| "//tensorflow/c/experimental:network", |
| "//tensorflow/compiler/tf2xla:xla_compiled_cpu_function", |
| "//tensorflow/core:core_cpu", |
| "//tensorflow/core:framework", |
| "//tensorflow/core:lib", |
| "//tensorflow/core:protos_all_cc", |
| "//tensorflow/core:stream_executor", |
| "//tensorflow/cc/saved_model:loader", |
| "//tensorflow/cc/saved_model:reader", |
| "//tensorflow/cc/saved_model:bundle_v2", |
| # WARNING: None of the C/C++ code under python/ has any API guarantees, and TF team |
| # reserves the right to change APIs and other header-level interfaces. If your custom |
| # op uses these headers, it may break when users upgrade their version of tensorflow. |
| # NOTE(ebrevdo): None of the python symbols are exported by libtensorflow_framework.so. |
| # Code that relies on these headers should dynamically link to |
| # _pywrap_tensorflow_internal.so as well. |
| "//tensorflow/python:model_analyzer_lib", |
| "//tensorflow/python:py_exception_registry", |
| "//tensorflow/python:pybind11_absl", |
| "//tensorflow/python:pybind11_lib", |
| "//tensorflow/python:pybind11_status", |
| "//tensorflow/python:pybind11_proto", |
| "//tensorflow/python:kernel_registry", |
| "//tensorflow/python:cpp_python_util", |
| "//tensorflow/python:py_func_lib", |
| "//tensorflow/python:py_seq_tensor", |
| "//tensorflow/python:py_util", |
| "//tensorflow/python:py_record_reader_lib", |
| "//tensorflow/python:python_op_gen", |
| "//tensorflow/python:tf_session_helper", |
| "//third_party/eigen3", |
| ] + if_cuda([ |
| "@local_config_cuda//cuda:cuda_headers", |
| ]), |
| ) |
| |
| py_binary( |
| name = "simple_console", |
| srcs = ["simple_console.py"], |
| srcs_version = "PY2AND3", |
| deps = ["//tensorflow:tensorflow_py"], |
| ) |
| |
| filegroup_as_file( |
| name = "xla_compiled_cpu_runtime_srcs.txt", |
| dep = "//tensorflow/compiler/tf2xla:xla_compiled_cpu_runtime_srcs", |
| ) |
| |
| filegroup( |
| name = "xla_cmake", |
| srcs = ["xla_build/CMakeLists.txt"], |
| ) |
| |
| # Add dynamic kernel dso files here. |
| DYNAMIC_LOADED_KERNELS = [ |
| "//tensorflow/core/kernels:libtfkernel_sobol_op.so", |
| ] |
| |
| COMMON_PIP_DEPS = [ |
| ":licenses", |
| "MANIFEST.in", |
| "README", |
| "setup.py", |
| ":included_headers", |
| ":xla_compiled_cpu_runtime_srcs.txt_file", |
| ":xla_cmake", |
| "//tensorflow:tensorflow_py", |
| "//tensorflow/compiler/tf2xla:xla_compiled_cpu_runtime_hdrs", |
| "//tensorflow/compiler/tf2xla:xla_compiled_cpu_runtime_srcs", |
| "//tensorflow/core:protos_all_proto_srcs", |
| "//tensorflow/examples/saved_model/integration_tests:mnist_util", |
| "//tensorflow/lite/python/testdata:interpreter_test_data", |
| "//tensorflow/lite/python:tflite_convert", |
| "//tensorflow/lite/toco/python:toco_from_protos", |
| "//tensorflow/python/autograph/core:test_lib", |
| "//tensorflow/python/autograph/impl/testing:pybind_for_testing", |
| "//tensorflow/python/autograph/pyct/testing", |
| "//tensorflow/python/autograph/pyct/common_transformers:common_transformers", |
| "//tensorflow/python/compiler:compiler", |
| "//tensorflow/python:cond_v2", |
| "//tensorflow/python/data/service:server_lib", |
| "//tensorflow/python:distributed_framework_test_lib", |
| "//tensorflow/python/distribute:distribute_test_lib_pip", |
| "//tensorflow/python:loss_scale", |
| "//tensorflow/python:loss_scale_optimizer", |
| "//tensorflow/python:memory_checker", |
| "//tensorflow/python:meta_graph_testdata", |
| "//tensorflow/python:util_example_parser_configuration", |
| "//tensorflow/python/data/benchmarks:benchmark_base", |
| "//tensorflow/python/data/experimental/kernel_tests/serialization:dataset_serialization_test_base", |
| "//tensorflow/python/data/experimental/kernel_tests:reader_dataset_ops_test_base", |
| "//tensorflow/python/data/experimental/kernel_tests:stats_dataset_test_base", |
| "//tensorflow/python/data/experimental/ops:testing", |
| "//tensorflow/python/data/kernel_tests:test_base", |
| "//tensorflow/python/debug:debug_pip", |
| "//tensorflow/python/distribute:combinations", |
| "//tensorflow/python/distribute:multi_process_runner", |
| "//tensorflow/python/eager:eager_pip", |
| "//tensorflow/python/keras:combinations", |
| "//tensorflow/python/keras/layers/preprocessing:preprocessing_test_utils", |
| "//tensorflow/python/keras/distribute:distribute_strategy_test_lib", |
| "//tensorflow/python/keras/distribute:multi_worker_testing_utils", |
| "//tensorflow/python/keras/mixed_precision/experimental:test_util", |
| "//tensorflow/python/keras/tests:model_subclassing_test_util", |
| "//tensorflow/python/keras/tests:model_architectures", |
| "//tensorflow/python/kernel_tests:cudnn_deterministic_base", |
| "//tensorflow/python/kernel_tests:bias_op_base", |
| "//tensorflow/python/kernel_tests/random:util", |
| "//tensorflow/python/kernel_tests/signal:test_util", |
| "//tensorflow/python/kernel_tests/testdata:self_adjoint_eig_op_test_files", |
| "//tensorflow/python/profiler:traceme", |
| "//tensorflow/python/saved_model:saved_model", |
| "//tensorflow/python/tools:tools_pip", |
| "//tensorflow/python/tools/api/generator:create_python_api", |
| "//tensorflow/python/tpu", |
| "//tensorflow/python:test_ops", |
| "//tensorflow/python:while_v2", |
| "//tensorflow/tools/common:public_api", |
| "//tensorflow/tools/common:test_module1", |
| "//tensorflow/tools/docs:doc_generator_visitor", |
| "//tensorflow/tools/docs:generate_lib", |
| "//tensorflow/tools/docs:parser", |
| "//tensorflow/tools/docs:py_guide_parser", |
| ] |
| |
| # On Windows, python binary is a zip file of runfiles tree. |
| # Add everything to its data dependency for generating a runfiles tree |
| # for building the pip package on Windows. |
| py_binary( |
| name = "simple_console_for_windows", |
| srcs = ["simple_console_for_windows.py"], |
| data = COMMON_PIP_DEPS + [ |
| "//tensorflow/python:pywrap_tensorflow_import_lib_file", |
| ], |
| srcs_version = "PY2AND3", |
| deps = ["//tensorflow:tensorflow_py"], |
| ) |
| |
| filegroup( |
| name = "licenses", |
| data = [ |
| "//:LICENSE", |
| "//third_party/eigen3:LICENSE", |
| "//third_party/fft2d:LICENSE", |
| "//third_party/hadoop:LICENSE.txt", |
| "//third_party/icu/data:LICENSE", |
| "@ruy//:LICENSE", |
| "@arm_neon_2_x86_sse//:LICENSE", |
| "@astunparse_archive//:LICENSE", |
| "@astor_archive//:LICENSE", |
| "@boringssl//:LICENSE", |
| "@com_google_absl//:LICENSE", |
| "@com_google_protobuf//:LICENSE", |
| "@com_googlesource_code_re2//:LICENSE", |
| "@curl//:COPYING", |
| "@dlpack//:LICENSE", |
| "@double_conversion//:LICENSE", |
| "@eigen_archive//:COPYING.MPL2", |
| "@enum34_archive//:LICENSE", |
| "@farmhash_archive//:COPYING", |
| "@fft2d//:fft2d/readme2d.txt", |
| "@flatbuffers//:LICENSE.txt", |
| "@functools32_archive//:LICENSE", |
| "@gast_archive//:PKG-INFO", |
| "@gemmlowp//:LICENSE", |
| "@gif//:COPYING", |
| "@highwayhash//:LICENSE", |
| "@icu//:icu4c/LICENSE", |
| "@kissfft//:COPYING", |
| "@libjpeg_turbo//:LICENSE.md", |
| "@llvm-project//llvm:LICENSE.TXT", |
| "@llvm-project//mlir:LICENSE.TXT", |
| "@lmdb//:LICENSE", |
| "@local_config_sycl//sycl:LICENSE.text", |
| "@local_config_tensorrt//:LICENSE", |
| "@nasm//:LICENSE", |
| "@nsync//:LICENSE", |
| "@opt_einsum_archive//:LICENSE", |
| "@org_python_pypi_backports_weakref//:LICENSE", |
| "@pasta//:LICENSE", |
| "@png//:LICENSE", |
| "@six_archive//:LICENSE", |
| "@snappy//:COPYING", |
| "@sobol_data//:LICENSE", |
| "@termcolor_archive//:COPYING.txt", |
| "@zlib//:zlib.h", |
| ] + select({ |
| "//tensorflow:android": [], |
| "//tensorflow:ios": [], |
| "//tensorflow:linux_s390x": [], |
| "//tensorflow:windows": [], |
| "//tensorflow:no_aws_support": [], |
| "//conditions:default": [ |
| "@aws//:LICENSE", |
| "@aws-c-common//:LICENSE", |
| "@aws-c-event-stream//:LICENSE", |
| "@aws-checksums//:LICENSE", |
| ], |
| }) + select({ |
| "//tensorflow:android": [], |
| "//tensorflow:ios": [], |
| "//tensorflow:linux_s390x": [], |
| "//tensorflow:windows": [], |
| "//tensorflow:no_gcp_support": [], |
| "//conditions:default": [ |
| "@com_github_googlecloudplatform_google_cloud_cpp//:LICENSE", |
| ], |
| }) + select({ |
| "//tensorflow/core/kernels:xsmm": [ |
| "@libxsmm_archive//:LICENSE.md", |
| ], |
| "//conditions:default": [], |
| }) + select({ |
| "//tensorflow:with_numa_support": [ |
| "@hwloc//:COPYING", |
| ], |
| "//conditions:default": [], |
| }) + if_cuda([ |
| "@cub_archive//:LICENSE.TXT", |
| "@local_config_nccl//:LICENSE", |
| ]) + if_mkl([ |
| "//third_party/mkl:LICENSE", |
| "//third_party/mkl_dnn:LICENSE", |
| ]) + if_not_system_lib( |
| "absl_py", |
| [ |
| "@absl_py//absl:LICENSE", |
| "@absl_py//absl/logging:LICENSE", |
| "@absl_py//absl/flags:LICENSE", |
| "@absl_py//absl/testing:LICENSE", |
| "@absl_py//absl/third_party/unittest3_backport:LICENSE", |
| ], |
| ) + if_not_system_lib( |
| "com_github_grpc_grpc", |
| [ |
| "@com_github_grpc_grpc//:LICENSE", |
| "@com_github_grpc_grpc//third_party/address_sorting:LICENSE", |
| ], |
| ) + if_ngraph([ |
| "@ngraph//:LICENSE", |
| "@ngraph_tf//:LICENSE", |
| "@nlohmann_json_lib//:LICENSE.MIT", |
| "@tbb//:LICENSE", |
| ]) + tf_additional_license_deps(), |
| ) |
| |
| sh_binary( |
| name = "build_pip_package", |
| srcs = ["build_pip_package.sh"], |
| data = COMMON_PIP_DEPS + |
| select({ |
| "//tensorflow:windows": [ |
| ":simple_console_for_windows", |
| ], |
| "//conditions:default": [ |
| ":simple_console", |
| ], |
| }) + |
| select({ |
| "//tensorflow:dynamic_loaded_kernels": DYNAMIC_LOADED_KERNELS, |
| "//conditions:default": [], |
| }) + if_mkl_ml(["//third_party/mkl:intel_binary_blob"]), |
| ) |
| |
| # A genrule for generating a marker file for the pip package on Windows |
| # |
| # This only works on Windows, because :simple_console_for_windows is a |
| # python zip file containing everything we need for building the pip package. |
| # However, on other platforms, due to https://github.com/bazelbuild/bazel/issues/4223, |
| # when C++ extensions change, this generule doesn't rebuild. |
| genrule( |
| name = "win_pip_package_marker", |
| srcs = if_windows([ |
| ":build_pip_package", |
| ":simple_console_for_windows", |
| ]), |
| outs = ["win_pip_package_marker_file"], |
| cmd = select({ |
| "//conditions:default": "touch $@", |
| "//tensorflow:windows": "md5sum $(locations :build_pip_package) $(locations :simple_console_for_windows) > $@", |
| }), |
| visibility = ["//visibility:public"], |
| ) |
