5c7f9e316d
Splits out a shared object (//tensorflow/libtensorflow_framework.so) with core TensorFlow functionality but neither ops nor kernels. This object does include registries for ops, kernels, filesystems, etc. The expectation is that shared objects containing custom ops will have a runtime dependency on this framework shared object: TensorFlow will load the custom op shared object, and the custom op shared object will use the symbols from the framework shared object to register its ops/kernels/etc. rather than (as before this change) relying on those symbols being in the global symbol table. In this mode, TensorFlow artifacts (_pywrap_tensorflow.so for Python, libtensorflow.so for the C API; currently excluding Android artifacts) will depend on the framework shared object, which will be packaged with the Python pip package and other language distributions. This means that custom ops targeting the framework shared object will work in any language (C++, Java, Go; previously custom ops in these languages required custom Bazel builds). Adds a config option which reproduces the old behavior (--config=monolithic), which for Python means building a monolithic pywrap_tensorflow shared object and loading its symbols into the global symbol table (with RTLD_GLOBAL). As before, there will be no extra-Bazel custom op support for other languages when compiling in this mode. Does not change behavior on Windows; the cmake build is still monolithic. Requires using tf_cc_binary, tf_cc_test, and (rarely) tf_cc_shared_object rules to link in the framework shared object when adding new TensorFlow build rules. PiperOrigin-RevId: 169572746
187 lines
6.6 KiB
Python
187 lines
6.6 KiB
Python
# Description:
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# Tools for building the TensorFlow pip package.
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package(default_visibility = ["//visibility:private"])
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load(
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"//tensorflow:tensorflow.bzl",
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"if_not_windows",
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"transitive_hdrs",
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)
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load("//third_party/mkl:build_defs.bzl", "if_mkl")
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load("//tensorflow/core:platform/default/build_config_root.bzl", "tf_additional_license_deps")
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# This returns a list of headers of all public header libraries (e.g.,
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# framework, lib), and all of the transitive dependencies of those
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# public headers. Not all of the headers returned by the filegroup
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# are public (e.g., internal headers that are included by public
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# headers), but the internal headers need to be packaged in the
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# pip_package for the public headers to be properly included.
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#
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# Public headers are therefore defined by those that are both:
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#
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# 1) "publicly visible" as defined by bazel
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# 2) Have documentation.
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#
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# This matches the policy of "public" for our python API.
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transitive_hdrs(
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name = "included_headers",
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deps = [
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"//tensorflow/core:core_cpu",
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"//tensorflow/core:framework",
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"//tensorflow/core:lib",
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"//tensorflow/core:protos_all_cc",
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"//tensorflow/core:stream_executor",
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"//third_party/eigen3",
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],
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)
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py_binary(
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name = "simple_console",
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srcs = ["simple_console.py"],
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srcs_version = "PY2AND3",
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deps = ["//tensorflow:tensorflow_py"],
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)
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py_test(
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name = "pip_smoke_test",
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srcs = ["pip_smoke_test.py"],
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data = [
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"//tensorflow:all_opensource_files",
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],
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tags = [
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"manual",
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"notap",
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],
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)
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py_binary(
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name = "check_load_py_test",
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srcs = ["check_load_py_test.py"],
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data = [
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"//tensorflow:all_opensource_files",
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],
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srcs_version = "PY2AND3",
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)
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# On Windows, python binary is a zip file of runfiles tree.
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# Add everything to its data dependency for generating a runfiles tree
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# for building the pip package on Windows.
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py_binary(
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name = "simple_console_for_windows",
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srcs = ["simple_console_for_windows.py"],
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data = [
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"MANIFEST.in",
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"README",
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"setup.py",
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":included_headers",
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"//tensorflow/contrib/nn:nn_py",
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"//tensorflow/contrib/session_bundle:session_bundle_pip",
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"//tensorflow/contrib/signal:signal_py",
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"//tensorflow/contrib/slim/python/slim/data:data_pip",
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"//tensorflow/python:util_example_parser_configuration",
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"//tensorflow/python/debug:debug_pip",
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"//tensorflow/python/saved_model",
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"//tensorflow/python:spectral_ops_test_util",
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"//tensorflow/python/tools:tools_pip",
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"//tensorflow/python/eager:eager_pip",
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# These targets don't build on Windows yet. Exclude them for now.
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# "//tensorflow/contrib/ndlstm",
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# "//tensorflow/contrib/slim",
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# "//tensorflow/contrib/slim/python/slim/nets:nets_pip",
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# "//tensorflow/contrib/specs",
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# "//tensorflow/contrib/tensor_forest:init_py",
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# "//tensorflow/contrib/tensor_forest/hybrid:hybrid_pip",
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# "//tensorflow/examples/tutorials/mnist:package",
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],
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srcs_version = "PY2AND3",
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deps = ["//tensorflow:tensorflow_py"],
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)
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filegroup(
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name = "licenses",
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data = [
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"//third_party/eigen3:LICENSE",
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"//third_party/fft2d:LICENSE",
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"//third_party/hadoop:LICENSE.txt",
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"@boringssl//:LICENSE",
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"@com_googlesource_code_re2//:LICENSE",
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"@cub_archive//:LICENSE.TXT",
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"@curl//:COPYING",
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"@eigen_archive//:COPYING.MPL2",
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"@farmhash_archive//:COPYING",
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"@fft2d//:fft/readme.txt",
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"@gemmlowp//:LICENSE",
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"@gif_archive//:COPYING",
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"@grpc//:LICENSE",
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"@highwayhash//:LICENSE",
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"@jemalloc//:COPYING",
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"@jpeg//:LICENSE.md",
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"@libxsmm_archive//:LICENSE",
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"@lmdb//:LICENSE",
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"@local_config_sycl//sycl:LICENSE.text",
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"@grpc//third_party/nanopb:LICENSE.txt",
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"@nsync//:LICENSE",
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"@png_archive//:LICENSE",
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"@protobuf_archive//:LICENSE",
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"@six_archive//:LICENSE",
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"@snappy//:COPYING",
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"@zlib_archive//:zlib.h",
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"@org_python_pypi_backports_weakref//:LICENSE",
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] + if_mkl([
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"//third_party/mkl:LICENSE",
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"@mkl//:LICENSE",
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]) + if_not_windows([
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"@nccl_archive//:LICENSE.txt",
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]) + tf_additional_license_deps(),
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)
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sh_binary(
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name = "build_pip_package",
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srcs = ["build_pip_package.sh"],
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data = select({
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"//tensorflow:windows": [":simple_console_for_windows"],
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"//tensorflow:windows_msvc": [":simple_console_for_windows"],
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"//conditions:default": [
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":licenses",
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"MANIFEST.in",
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"README",
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"setup.py",
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":included_headers",
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":simple_console",
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"//tensorflow:tensorflow_py",
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"//tensorflow/contrib/boosted_trees:boosted_trees_pip",
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"//tensorflow/contrib/cluster_resolver:cluster_resolver_pip",
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"//tensorflow/contrib/gan:gan",
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"//tensorflow/contrib/graph_editor:graph_editor_pip",
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"//tensorflow/contrib/keras:keras",
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"//tensorflow/contrib/labeled_tensor:labeled_tensor_pip",
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"//tensorflow/contrib/ndlstm:ndlstm",
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"//tensorflow/contrib/nn:nn_py",
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"//tensorflow/contrib/predictor:predictor_pip",
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"//tensorflow/contrib/receptive_field:receptive_field_pip",
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"//tensorflow/contrib/session_bundle:session_bundle_pip",
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"//tensorflow/contrib/signal:signal_py",
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"//tensorflow/contrib/slim:slim",
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"//tensorflow/contrib/slim/python/slim/data:data_pip",
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"//tensorflow/contrib/slim/python/slim/nets:nets_pip",
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"//tensorflow/contrib/specs:specs",
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"//tensorflow/contrib/tensor_forest:init_py",
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"//tensorflow/contrib/tensor_forest/hybrid:hybrid_pip",
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"//tensorflow/contrib/timeseries:timeseries_pip",
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"//tensorflow/contrib/tpu",
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"//tensorflow/examples/tutorials/mnist:package",
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"//tensorflow/python:distributed_framework_test_lib",
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"//tensorflow/python:meta_graph_testdata",
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"//tensorflow/python:spectral_ops_test_util",
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"//tensorflow/python:util_example_parser_configuration",
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"//tensorflow/python/debug:debug_pip",
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"//tensorflow/python/eager:eager_pip",
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"//tensorflow/python/saved_model:saved_model",
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"//tensorflow/python/tools:tools_pip",
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"//tensorflow/python:test_ops",
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"//tensorflow/tools/dist_test/server:grpc_tensorflow_server",
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],
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}) + if_mkl(["//third_party/mkl:intel_binary_blob"]),
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)
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