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# Description:
# TensorFlow is a computational framework, primarily for use in machine
# learning applications.
#
# Public targets:
#
# ":protos_all" - exports all core TensorFlow protos
# ":protos_all_py" - py_proto_library version (Google-internal)
# ":lib" - exports the public non-test headers for:
# platform/: Platform-specific code and external dependencies
# lib/: Low-level libraries that are not TensorFlow-specific
# ":test" - test equivalent of ":lib".
# This is currently public, but may be made internal in the
# future. Try to avoid depending on it.
# ":framework" - exports the public non-test headers for:
# util/: General low-level TensorFlow-specific libraries
# framework/: Support for adding new ops & kernels
# example/: Wrappers to simplify access to Example proto
# ":ops" - defines TensorFlow ops, but no implementations / kernels
# ops/: Standard ops
# user_ops/: User-supplied ops
# This aggregates a number of smaller op libraries (":*_op_lib")
# ":core_cpu" - exports the public non-test headers for:
# graph/: Support for graphs made up of ops
# common_runtime/: Common code for execution of graphs
# public/: Public APIs for running graphs
# ":core" - The code for ":core_cpu" plus a GPU runtime
# ":all_kernels" - The cpu-specific kernels, plus gpu kernels if
# built with Cuda
# ":tensorflow_opensource" - The complete open-source package, including
# ":all_kernels", ":core", and a Session implementation.
# ":tensorflow" - "tensorflow_opensource" plus some Google-internal libraries.
# ":testlib" - TensorFlow-specific test support, e.g. utilities for testing
# kernels.
# ":direct_session" - An implementation of the Session interface that
# directly runs Graphs via the internal TensorFlow executor.
# "framework_lite" - Intended to be used by operator implementations
# (kernels) that can also be run outside the tensorflow runtime. This
# contains a small set of headers and utilities that can be used for core
# kernels, without bringing in libraries that can bloat code size (e.g.,
# logging is not included because using it will bring in a large amount of
# ostream code).
#
# ":example_parser_configuration" -- A library for extracting the
# tensorflow.Example proto configuration from a Graph.
#
# Public Android targets:
#
# filegroup ":android_proto_srcs" - Protos
# filegroup ":android_srcs" - Core sources
# cc_library ":android_tensorflow_lib" - Native library
# cc_library ":android_tensorflow_lib_selective_registration" - Native library
# supporting SELECTIVE_REGISTRATION feature.
# portable_proto_library ":android_proto_lib" (Google-internal)
package(default_visibility = [
"//tensorflow:internal",
"//tensorflow_models:__subpackages__",
])
licenses(["notice"]) # Apache 2.0
load(
"//tensorflow:tensorflow.bzl",
"full_path",
"if_android",
"if_ios",
"if_x86",
"if_not_mobile",
"if_not_windows",
"tf_copts",
"tf_cc_test",
"tf_cc_tests",
"tf_cuda_library",
"tf_gen_op_libs",
"tf_generate_proto_text_sources",
"tf_genrule_cmd_append_to_srcs",
"tf_opts_nortti_if_android",
"cc_header_only_library",
)
load("//tensorflow:tensorflow.bzl", "tf_cc_test_mkl")
load("//tensorflow:tensorflow.bzl", "tf_cc_test_gpu")
load("//tensorflow:tensorflow.bzl", "tf_cc_tests_gpu")
load("//tensorflow:tensorflow.bzl", "tf_version_info_genrule")
load("//tensorflow:tensorflow.bzl", "tf_cuda_only_cc_test")
# For platform specific build config
load(
"//tensorflow/core:platform/default/build_config.bzl",
"tf_proto_library",
"tf_proto_library_cc",
"tf_additional_core_deps",
"tf_additional_lib_defines",
"tf_additional_lib_deps",
"tf_additional_lib_hdrs",
"tf_additional_lib_srcs",
"tf_additional_minimal_lib_srcs",
"tf_additional_proto_hdrs",
"tf_additional_proto_srcs",
"tf_additional_stream_executor_srcs",
"tf_additional_cupti_wrapper_deps",
"tf_additional_libdevice_data",
"tf_additional_libdevice_deps",
"tf_additional_libdevice_srcs",
"tf_additional_test_deps",
"tf_additional_test_srcs",
"tf_env_time_hdrs",
"tf_env_time_srcs",
"tf_kernel_tests_linkstatic",
"tf_additional_cloud_op_deps",
"tf_additional_cloud_kernel_deps",
"tf_lib_proto_parsing_deps",
"tf_additional_verbs_lib_defines",
"tf_additional_mpi_lib_defines",
)
load(
"//tensorflow/core:platform/default/build_config_root.bzl",
"tf_cuda_tests_tags",
)
load(
"//third_party/mkl:build_defs.bzl",
"if_mkl",
)
# -----------------------------------------------------------------------------
# Public targets
# Protos which are needed for core tensorflow, including on mobile builds.
#
# Note that some protos are in neither additional_core_proto_srcs nor this
# filegroup; e.g. ones with individual proto_library targets.
CORE_PROTO_SRCS = [
"example/example.proto",
"example/feature.proto",
"framework/allocation_description.proto",
"framework/attr_value.proto",
"framework/cost_graph.proto",
"framework/device_attributes.proto",
"framework/function.proto",
"framework/graph.proto",
"framework/graph_transfer_info.proto",
"framework/kernel_def.proto",
"framework/log_memory.proto",
"framework/node_def.proto",
"framework/op_def.proto",
"framework/reader_base.proto",
"framework/remote_fused_graph_execute_info.proto",
"framework/resource_handle.proto",
"framework/step_stats.proto",
"framework/summary.proto",
"framework/tensor.proto",
"framework/tensor_description.proto",
"framework/tensor_shape.proto",
"framework/tensor_slice.proto",
"framework/types.proto",
"framework/variable.proto",
"framework/versions.proto",
"lib/core/error_codes.proto",
"protobuf/config.proto",
"protobuf/cluster.proto",
"protobuf/debug.proto",
"protobuf/device_properties.proto",
"protobuf/queue_runner.proto",
"protobuf/rewriter_config.proto",
"protobuf/tensor_bundle.proto",
"protobuf/saver.proto",
"util/memmapped_file_system.proto",
"util/saved_tensor_slice.proto",
]
# Protos which are not needed on mobile builds, but should be included in
# protos_all.
#
# Note that some protos are in neither core_proto_srcs nor this filegroup; e.g.
# ones with individual proto_library targets.
ADDITIONAL_CORE_PROTO_SRCS = [
"example/example_parser_configuration.proto",
"protobuf/control_flow.proto",
"protobuf/meta_graph.proto",
"protobuf/named_tensor.proto",
"protobuf/saved_model.proto",
"protobuf/tensorflow_server.proto",
"util/event.proto",
"util/test_log.proto",
]
tf_proto_library(
name = "protos_all",
srcs = CORE_PROTO_SRCS + ADDITIONAL_CORE_PROTO_SRCS,
cc_api_version = 2,
go_api_version = 2,
j2objc_api_version = 1,
java_api_version = 2,
js_api_version = 2,
js_codegen = "jspb",
visibility = ["//visibility:public"],
)
exports_files([
"framework/types.proto",
])
tf_proto_library(
name = "protos_test",
srcs = ["util/example_proto_fast_parsing_test.proto"],
cc_api_version = 2,
protodeps = [":protos_all"],
visibility = ["//visibility:public"],
)
# Minimal lib so that tools used for mobile compilation
# don't have to depend on lib/platformlib.
cc_library(
name = "lib_proto_parsing",
srcs = glob(tf_additional_proto_srcs()) + tf_env_time_srcs(),
hdrs = [
"lib/core/errors.h",
"lib/core/status.h",
"lib/core/stringpiece.h",
"lib/strings/numbers.h",
"lib/strings/strcat.h",
"platform/init_main.h",
"platform/logging.h",
"platform/macros.h",
"platform/platform.h",
"platform/protobuf.h",
"platform/types.h",
] + glob(tf_additional_proto_hdrs()) + glob(tf_env_time_hdrs()),
copts = tf_copts(),
deps = tf_lib_proto_parsing_deps(),
)
cc_library(
name = "lib",
hdrs = [
"lib/core/arena.h",
"lib/core/bitmap.h",
"lib/core/bits.h",
"lib/core/casts.h",
"lib/core/coding.h",
"lib/core/errors.h",
"lib/core/notification.h",
"lib/core/raw_coding.h",
"lib/core/status.h",
"lib/core/stringpiece.h",
"lib/core/threadpool.h",
"lib/gtl/array_slice.h",
"lib/gtl/cleanup.h",
"lib/gtl/flatmap.h",
"lib/gtl/flatset.h",
"lib/gtl/inlined_vector.h",
"lib/gtl/optional.h",
"lib/gtl/priority_queue_util.h",
"lib/hash/crc32c.h",
"lib/histogram/histogram.h",
"lib/io/buffered_inputstream.h",
"lib/io/compression.h",
"lib/io/inputstream_interface.h",
"lib/io/path.h",
"lib/io/proto_encode_helper.h",
"lib/io/random_inputstream.h",
"lib/io/record_reader.h",
"lib/io/record_writer.h",
"lib/io/table.h",
"lib/io/table_builder.h",
"lib/io/table_options.h",
"lib/math/math_util.h",
"lib/monitoring/counter.h",
"lib/monitoring/sampler.h",
"lib/random/distribution_sampler.h",
"lib/random/philox_random.h",
"lib/random/random_distributions.h",
"lib/random/simple_philox.h",
"lib/strings/numbers.h",
"lib/strings/str_util.h",
"lib/strings/strcat.h",
"lib/strings/stringprintf.h",
"platform/cpu_feature_guard.h",
"platform/cpu_info.h",
"platform/dynamic_annotations.h",
"platform/env.h",
"platform/env_time.h",
"platform/file_system.h",
"platform/fingerprint.h",
"platform/init_main.h",
"platform/logging.h",
"platform/macros.h",
"platform/mem.h",
"platform/mutex.h",
"platform/net.h",
"platform/notification.h",
"platform/prefetch.h",
"platform/profile_utils/clock_cycle_profiler.h",
"platform/profile_utils/cpu_utils.h",
"platform/protobuf.h",
"platform/stacktrace.h",
"platform/strong_hash.h",
"platform/subprocess.h",
"platform/thread_annotations.h",
"platform/types.h",
"platform/windows/cpu_info.h",
],
visibility = ["//visibility:public"],
deps = [
":lib_internal",
],
)
# Test support library needed for all tests
# This is currently public, but may be made internal in the
# future. Try to avoid depending on it.
cc_library(
name = "test",
testonly = 1,
srcs = [
"platform/test.cc",
"util/reporter.cc",
] + tf_additional_test_srcs(),
hdrs = [
"lib/core/status_test_util.h",
"platform/test.h",
"platform/test_benchmark.h",
"util/reporter.h",
],
copts = tf_copts(),
linkopts = ["-lm"],
visibility = ["//visibility:public"],
deps = [
":lib",
":lib_internal",
":protos_all_cc",
"//tensorflow/core/platform/default/build_config:gtest",
] + tf_additional_test_deps(),
)
tf_cuda_library(
name = "framework",
hdrs = [
"example/feature_util.h",
"framework/allocator.h",
"framework/allocator_registry.h",
"framework/attr_value_util.h",
"framework/bfloat16.h",
"framework/cancellation.h",
"framework/common_shape_fns.h",
"framework/control_flow.h", # TODO(josh11b): Make internal?
"framework/device_base.h",
"framework/function.h",
"framework/graph_def_util.h",
"framework/kernel_def_builder.h",
"framework/log_memory.h",
"framework/lookup_interface.h",
"framework/memory_types.h",
"framework/node_def_builder.h",
"framework/node_def_util.h",
"framework/numeric_op.h",
"framework/numeric_types.h",
"framework/op.h",
"framework/op_def_builder.h",
"framework/op_def_util.h",
"framework/op_kernel.h",
"framework/partial_tensor_shape.h",
"framework/queue_interface.h",
"framework/reader_interface.h",
"framework/reader_op_kernel.h",
"framework/register_types.h",
"framework/resource_mgr.h",
"framework/resource_op_kernel.h",
"framework/selective_registration.h",
"framework/session_state.h",
"framework/shape_inference.h",
"framework/tensor.h",
"framework/tensor_shape.h",
"framework/tensor_slice.h",
"framework/tensor_types.h",
"framework/tensor_util.h",
"framework/tracking_allocator.h",
"framework/type_index.h",
"framework/type_traits.h",
"framework/types.h",
"public/version.h",
"util/bcast.h",
"util/cuda_kernel_helper.h",
"util/device_name_utils.h",
"util/env_var.h",
"util/events_writer.h",
"util/example_proto_fast_parsing.h",
"util/example_proto_helper.h",
"util/guarded_philox_random.h",
"util/mirror_pad_mode.h",
"util/padding.h",
"util/port.h",
"util/saved_tensor_slice_util.h",
"util/sparse/group_iterator.h",
"util/sparse/sparse_tensor.h",
"util/stat_summarizer.h",
"util/stream_executor_util.h",
"util/strided_slice_op.h",
"util/tensor_format.h",
"util/tensor_slice_reader.h",
"util/tensor_slice_reader_cache.h",
"util/tensor_slice_writer.h",
"util/use_cudnn.h",
"util/util.h",
"util/work_sharder.h",
] + select({
"//tensorflow:windows": [],
"//tensorflow:windows_msvc": [],
"//conditions:default": [
"util/memmapped_file_system.h",
"util/memmapped_file_system_writer.h",
],
}) + if_mkl([
"util/mkl_util.h",
]),
visibility = ["//visibility:public"],
deps = [":framework_internal"],
)
cc_library(
name = "overflow",
hdrs = ["util/overflow.h"],
deps = [
":framework_lite",
":lib",
],
)
cc_library(
name = "reader_base",
srcs = ["framework/reader_base.cc"],
hdrs = ["framework/reader_base.h"],
visibility = ["//visibility:public"],
deps = [
":framework",
":lib",
":protos_all_cc",
],
)
tf_proto_library_cc(
name = "op_gen_overrides_proto",
srcs = ["framework/op_gen_overrides.proto"],
cc_api_version = 2,
protodeps = [":protos_all"],
visibility = ["//visibility:public"],
)
cc_library(
name = "op_gen_lib",
srcs = ["framework/op_gen_lib.cc"],
hdrs = ["framework/op_gen_lib.h"],
visibility = ["//visibility:public"],
deps = [
":lib",
":op_gen_overrides_proto_cc",
":protos_all_cc",
],
)
cc_library(
name = "session_options",
hdrs = ["public/session_options.h"],
visibility = ["//visibility:public"],
deps = [
":lib",
":protos_all_cc",
],
)
cc_library(
name = "framework_lite",
srcs = tf_additional_minimal_lib_srcs(),
hdrs = [
"framework/numeric_types.h",
"framework/tensor_types.h",
"framework/type_traits.h",
"platform/default/dynamic_annotations.h",
"platform/default/integral_types.h",
"platform/default/logging.h",
"platform/default/mutex.h",
"platform/default/protobuf.h",
"platform/default/thread_annotations.h",
"platform/dynamic_annotations.h",
"platform/macros.h",
"platform/mutex.h",
"platform/platform.h",
"platform/prefetch.h",
"platform/thread_annotations.h",
"platform/types.h",
],
visibility = ["//visibility:public"],
deps =
[
"//tensorflow/core/platform/default/build_config:minimal",
"//third_party/eigen3",
],
)
# Generates library per group of ops.
tf_gen_op_libs(
op_lib_names = [
"bitwise_ops",
"candidate_sampling_ops",
"control_flow_ops",
"ctc_ops",
"data_flow_ops",
"dataset_ops",
"function_ops",
"functional_ops",
"image_ops",
"io_ops",
"linalg_ops",
"lookup_ops",
"logging_ops",
"math_ops",
"nn_ops",
"no_op",
"parsing_ops",
"random_ops",
"remote_fused_graph_ops",
"resource_variable_ops",
"sdca_ops",
"set_ops",
"script_ops",
"sendrecv_ops",
"sparse_ops",
"spectral_ops",
"state_ops",
"stateless_random_ops",
"string_ops",
"training_ops",
],
)
tf_gen_op_libs(
op_lib_names = [
"array_ops",
],
deps = [":protos_all_cc"],
)
tf_gen_op_libs(
op_lib_names = [
"audio_ops",
],
deps = [":lib"],
)
cc_library(
name = "debug_ops_op_lib",
srcs = ["ops/debug_ops.cc"],
copts = tf_copts(),
linkstatic = 1,
visibility = ["//tensorflow:internal"],
deps = [
":framework",
"//tensorflow/core/kernels:debug_ops",
],
alwayslink = 1,
)
# And one for all user ops
cc_library(
name = "user_ops_op_lib",
srcs = glob(["user_ops/**/*.cc"]),
copts = tf_copts(),
linkstatic = 1,
visibility = ["//visibility:public"],
deps = [":framework"],
alwayslink = 1,
)
cc_library(
name = "word2vec_ops",
srcs = ["ops/word2vec_ops.cc"],
linkstatic = 1,
visibility = ["//tensorflow:internal"],
deps = ["//tensorflow/core:framework"],
alwayslink = 1,
)
cc_library(
name = "ops",
visibility = ["//visibility:public"],
deps = [
":array_ops_op_lib",
":audio_ops_op_lib",
":bitwise_ops_op_lib",
":candidate_sampling_ops_op_lib",
":control_flow_ops_op_lib",
":ctc_ops_op_lib",
":data_flow_ops_op_lib",
":dataset_ops_op_lib",
":function_ops_op_lib",
":functional_ops_op_lib",
":image_ops_op_lib",
":io_ops_op_lib",
":linalg_ops_op_lib",
":lookup_ops_op_lib",
":logging_ops_op_lib",
":math_ops_op_lib",
":nn_ops_op_lib",
":no_op_op_lib",
":parsing_ops_op_lib",
":random_ops_op_lib",
":remote_fused_graph_ops_op_lib",
":script_ops_op_lib",
":sdca_ops_op_lib",
":sendrecv_ops_op_lib",
":set_ops_op_lib",
":sparse_ops_op_lib",
":spectral_ops_op_lib",
":state_ops_op_lib",
":stateless_random_ops_op_lib",
":string_ops_op_lib",
":training_ops_op_lib",
":user_ops_op_lib",
":word2vec_ops",
] + tf_additional_cloud_op_deps(),
alwayslink = 1,
)
cc_library(
name = "array_grad",
srcs = ["ops/array_grad.cc"],
linkstatic = 1, # Needed since alwayslink is broken in bazel b/27630669
visibility = ["//visibility:public"],
deps = [
":array_ops_op_lib",
":framework",
":lib",
],
alwayslink = 1,
)
cc_library(
name = "functional_grad",
srcs = ["ops/functional_grad.cc"],
linkstatic = 1, # Needed since alwayslink is broken in bazel b/27630669
visibility = ["//visibility:public"],
deps = [
":framework",
":functional_ops_op_lib",
":lib",
],
alwayslink = 1,
)
cc_library(
name = "math_grad",
srcs = [
"ops/math_grad.cc",
"ops/random_grad.cc",
],
linkstatic = 1, # Needed since alwayslink is broken in bazel b/27630669
visibility = ["//visibility:public"],
deps = [
":framework",
":lib",
":math_ops_op_lib",
],
alwayslink = 1,
)
cc_library(
name = "nn_grad",
srcs = ["ops/nn_grad.cc"],
linkstatic = 1, # Needed since alwayslink is broken in bazel b/27630669
visibility = ["//visibility:public"],
deps = [
":framework",
":lib",
":nn_ops_op_lib",
],
alwayslink = 1,
)
tf_cuda_library(
name = "core_cpu",
hdrs = [
"common_runtime/device.h",
"common_runtime/optimization_registry.h",
"common_runtime/shape_refiner.h",
"graph/algorithm.h",
"graph/default_device.h",
"graph/gradients.h",
"graph/graph.h",
"graph/graph_constructor.h",
"graph/graph_def_builder.h",
"graph/node_builder.h",
"graph/validate.h",
"public/session.h",
"public/session_options.h",
],
visibility = ["//visibility:public"],
deps = [
":core_cpu_internal",
],
)
cc_library(
name = "core",
visibility = ["//visibility:public"],
deps = [
":core_cpu",
":gpu_runtime",
":sycl_runtime",
],
)
# This includes implementations of all kernels built into TensorFlow.
cc_library(
name = "all_kernels",
visibility = ["//visibility:public"],
deps = [
"//tensorflow/core/kernels:array",
"//tensorflow/core/kernels:audio",
"//tensorflow/core/kernels:bincount_op",
"//tensorflow/core/kernels:candidate_sampler_ops",
"//tensorflow/core/kernels:control_flow_ops",
"//tensorflow/core/kernels:ctc_ops",
"//tensorflow/core/kernels:data_flow",
"//tensorflow/core/kernels:dataset_ops",
"//tensorflow/core/kernels:fake_quant_ops",
"//tensorflow/core/kernels:function_ops",
"//tensorflow/core/kernels:image",
"//tensorflow/core/kernels:io",
"//tensorflow/core/kernels:linalg",
"//tensorflow/core/kernels:lookup",
"//tensorflow/core/kernels:logging",
"//tensorflow/core/kernels:math",
"//tensorflow/core/kernels:multinomial_op",
"//tensorflow/core/kernels:nn",
"//tensorflow/core/kernels:parameterized_truncated_normal_op",
"//tensorflow/core/kernels:parsing",
"//tensorflow/core/kernels:random_ops",
"//tensorflow/core/kernels:random_poisson_op",
"//tensorflow/core/kernels:remote_fused_graph_ops",
"//tensorflow/core/kernels:required",
"//tensorflow/core/kernels:resource_variable_ops",
"//tensorflow/core/kernels:sdca_ops",
"//tensorflow/core/kernels:set_kernels",
"//tensorflow/core/kernels:sparse",
"//tensorflow/core/kernels:state",
"//tensorflow/core/kernels:stateless_random_ops",
"//tensorflow/core/kernels:string",
"//tensorflow/core/kernels:training_ops",
"//tensorflow/core/kernels:word2vec_kernels",
] + tf_additional_cloud_kernel_deps() + if_not_windows([
"//tensorflow/core/kernels:fact_op",
"//tensorflow/core/kernels:array_not_windows",
"//tensorflow/core/kernels:math_not_windows",
"//tensorflow/core/kernels:quantized_ops",
"//tensorflow/core/kernels/neon:neon_depthwise_conv_op",
]) + if_mkl([
"//tensorflow/core/kernels:mkl_concat_op",
"//tensorflow/core/kernels:mkl_conv_op",
"//tensorflow/core/kernels:mkl_fused_batch_norm_op",
"//tensorflow/core/kernels:mkl_identity_op",
"//tensorflow/core/kernels:mkl_lrn_op",
"//tensorflow/core/kernels:mkl_pooling_ops",
"//tensorflow/core/kernels:mkl_relu_op",
"//tensorflow/core/kernels:mkl_reshape_op",
"//tensorflow/core/kernels:mkl_tfconv_op",
]),
)
tf_cuda_library(
name = "tensorflow_opensource",
copts = tf_copts(),
visibility = ["//visibility:public"],
deps = [
":all_kernels",
":core",
":direct_session",
":example_parser_configuration",
":gpu_runtime",
":lib",
],
)
cc_library(
name = "tensorflow",
visibility = ["//visibility:public"],
deps = [
":tensorflow_opensource",
"//tensorflow/core/platform/default/build_config:tensorflow_platform_specific",
],
)
# Test support library needed for higher-level (TensorFlow-specific) tests
cc_library(
name = "testlib",
testonly = 1,
srcs = [
"common_runtime/kernel_benchmark_testlib.cc",
"framework/fake_input.cc",
"framework/function_testlib.cc",
"graph/testlib.cc",
],
hdrs = [
"common_runtime/kernel_benchmark_testlib.h",
"framework/fake_input.h",
"framework/function_testlib.h",
"framework/shape_inference_testutil.h",
"framework/tensor_testutil.h",
"graph/testlib.h",
# TODO(josh11b): Drop this once users are depending on
# kernels:ops_testutil instead.
"//tensorflow/core/kernels:ops_testutil.h",
],
copts = tf_copts(),
visibility = ["//visibility:public"],
deps = [
":core_cpu",
":core_cpu_internal",
":framework",
":framework_internal",
":lib",
":lib_internal",
":protos_all_cc",
":shape_inference_testutil",
":tensor_testutil",
":test",
"//tensorflow/core/kernels:constant_op",
"//tensorflow/core/kernels:ops_util",
"//tensorflow/core/platform/default/build_config:gtest",
],
)
# This is a link-only library to provide a DirectSession
# implementation of the Session interface.
tf_cuda_library(
name = "direct_session",
copts = tf_copts(),
linkstatic = 1,
visibility = ["//visibility:public"],
deps = [
":direct_session_internal",
],
alwayslink = 1,
)
# -----------------------------------------------------------------------------
# Public Android targets
# Android-specific BUILD targets
load(
"//tensorflow:tensorflow.bzl",
"tf_android_core_proto_headers",
"tf_android_core_proto_sources",
)
# List of protos we want on android
filegroup(
name = "android_proto_srcs",
srcs = tf_android_core_proto_sources(CORE_PROTO_SRCS),
visibility = ["//visibility:public"],
)
# Core sources for Android builds.
filegroup(
name = "mobile_srcs",
srcs = [
":proto_text_srcs_all",
"//tensorflow/core/kernels:android_srcs",
"//tensorflow/core/platform/default/build_config:android_srcs",
"//tensorflow/core/util/ctc:android_srcs",
"//tensorflow/core/util/tensor_bundle:android_srcs",
"common_runtime/gpu/gpu_tracer.cc",
"common_runtime/gpu/gpu_tracer.h",
] + glob(
[
"client/**/*.cc",
"common_runtime/**/*.h",
"common_runtime/**/*.cc",
"framework/**/*.h",
"framework/**/*.cc",
"graph/**/*.h",
"graph/**/*.cc",
"lib/**/*.h",
"lib/**/*.cc",
"platform/**/*.h",
"platform/**/*.cc",
"public/**/*.h",
"util/**/*.h",
"util/**/*.cc",
],
exclude = [
"**/*test.*",
"**/*testutil*",
"**/*testlib*",
"**/*main.cc",
"debug/**/*",
"framework/op_gen_*",
"graph/dot.*",
"lib/jpeg/**/*",
"lib/png/**/*",
"lib/gif/**/*",
"util/events_writer.*",
"util/reporter.*",
"platform/**/cuda_libdevice_path.*",
"platform/default/stream_executor.*",
"platform/default/test_benchmark.*",
"platform/cuda.h",
"platform/google/**/*",
"platform/hadoop/**/*",
"platform/gif.h",
"platform/jpeg.h",
"platform/png.h",
"platform/stream_executor.*",
"platform/windows/**/*",
"user_ops/**/*.cu.cc",
"common_runtime/gpu/**/*",
"common_runtime/gpu_device_factory.*",
],
),
visibility = ["//visibility:public"],
)
# Native library support for Android applications. Does not contain
# operators, use :android_tensorflow_lib if you want full operator
# support.
#
# Compiles to a trivial library on non-Android to prevent irrelevant
# build errors. If not building this as part of an android_binary,
# a command such as the following must be used:
# bazel build -c opt tensorflow/core:android_tensorflow_lib \
# --crosstool_top=https://external:android/crosstool \
# --cpu=armeabi-v7a \
# --host_crosstool_top=@bazel_tools//tools/cpp:toolchain
cc_library(
name = "android_tensorflow_lib_lite",
srcs = if_android(["//tensorflow/core:android_srcs"]),
copts = tf_copts() + [
"-Os",
],
linkopts = ["-lz"],
tags = [
"manual",
"notap",
],
visibility = ["//visibility:public"],
deps = [
":protos_cc",
"//third_party/eigen3",
],
alwayslink = 1,
)
# Native library support for iOS applications.
#
# bazel build --config=ios_x86_64 \
# //third_party/tensorflow/core:ios_tensorflow_lib
cc_library(
name = "ios_tensorflow_lib",
srcs = if_ios([
":android_op_registrations_and_gradients",
"//tensorflow/core:android_srcs",
"//tensorflow/core/kernels:android_core_ops",
"//tensorflow/core/kernels:android_extended_ops",
]),
copts = tf_copts() + ["-Os"] + ["-std=c++11"],
visibility = ["//visibility:public"],
deps = [
":protos_cc",
"//third_party/eigen3",
"@gemmlowp//:gemmlowp",
],
alwayslink = 1,
)
cc_library(
name = "ios_tensorflow_test_lib",
testonly = 1,
srcs = if_ios([":android_test_srcs"]),
copts = tf_copts() + ["-Os"],
tags = [
"manual",
"notap",
],
visibility = ["//visibility:public"],
deps = [
":android_test_proto_lib",
":ios_tensorflow_lib",
"//tensorflow/core/platform/default/build_config:gtest",
"//third_party/eigen3",
],
)
# Full TensorFlow library with operator support. Use this unless reducing
# binary size (by packaging a reduced operator set) is a concern.
cc_library(
name = "android_tensorflow_lib",
srcs = if_android([":android_op_registrations_and_gradients"]),
copts = tf_copts(),
tags = [
"manual",
"notap",