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android / platform / external / tensorflow / f75c3ecbf9e / . / tensorflow / core / BUILD
blob: 5c1fb122c4402cab9aaab1c517e1d21ccdfa223a [file] [log] [blame]
# 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:
# //third_party/tensorflow/core/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
# //third_party/tensorflow/lite/kernels/shim: Template for writing ops supporting TF & TF Lite.
# ":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 mobile targets, e.g. for Android:
#
# cc_library ":portable_tensorflow_lib" - Native library
# cc_library ":portable_tensorflow_lib_lite" - Native library, without ops,
# supporting SELECTIVE_REGISTRATION feature.
#
# Note that :framework and :lib have incomplete transitive dependencies (they
# declare but do not define some symbols) if framework_shared_object=True
# (meaning there is an explicit framework shared object). Missing symbols are
# included in //tensorflow:libtensorflow_framework.so. This split supports
# custom op registration; see comments on
# //tensorflow:libtensorflow_framework.so. It does mean that TensorFlow cc_test
# and cc_binary rules will not build. Using tf_cc_test and tf_cc_binary (from
# //tensorflow/tensorflow.bzl) will include the necessary symbols in binary
# build targets.
load(
"//tensorflow:tensorflow.bzl",
"if_android",
"if_cuda_or_rocm",
"if_google",
"if_ios",
"if_libtpu",
"if_mobile",
"tf_cc_test",
"tf_cc_test_mkl",
"tf_cc_tests",
"tf_copts",
"tf_cuda_library",
"tf_defines_nortti_if_lite_protos",
"tf_features_nomodules_if_mobile",
"tf_opts_nortti_if_lite_protos",
"transitive_hdrs",
)
# buildifier: disable=same-origin-load
load("//tensorflow:tensorflow.bzl", "cc_header_only_library")
# buildifier: disable=same-origin-load
load("//tensorflow:tensorflow.bzl", "if_nccl")
# buildifier: disable=same-origin-load
load("//tensorflow:tensorflow.bzl", "tensorflow_opensource_extra_deps")
# buildifier: disable=same-origin-load
# buildifier: disable=same-origin-load
load("//tensorflow:tensorflow.bzl", "tf_monitoring_framework_deps")
# buildifier: disable=same-origin-load
load("//tensorflow:tensorflow.bzl", "filegroup")
# For platform specific build config
load(
"//tensorflow/core/platform:build_config.bzl",
"tf_additional_lib_deps",
"tf_additional_test_deps",
"tf_jspb_proto_library",
"tf_kernel_tests_linkstatic",
"tf_lib_proto_parsing_deps",
"tf_portable_deps_no_runtime",
"tf_portable_proto_lib",
"tf_proto_library",
"tf_protos_all_impl",
"tf_protos_grappler_impl",
"tf_protos_profiler_impl",
"tf_tpu_dependencies",
)
load(
"//tensorflow/core/platform:rules_cc.bzl",
"cc_library",
)
load(
"//tensorflow/core/platform:build_config_root.bzl",
"if_dynamic_kernels",
"if_static",
)
load("@local_config_cuda//cuda:build_defs.bzl", "if_cuda")
load("@local_config_tensorrt//:build_defs.bzl", "if_tensorrt")
load(
"//third_party/mkl:build_defs.bzl",
"if_mkl",
)
package(
default_visibility = [
":dependency_whitelist",
"//tensorflow:internal",
"//tensorflow_models:__subpackages__",
],
licenses = ["notice"],
)
package_group(
name = "dependency_whitelist",
packages = [
"//learning/freud/topic_models/tensorflow/...",
"//perftools/accelerators/xprof/api/...",
"//quality/webanswers/brain/tokenization/custom_tf_ops/kernels/...",
"//smartass/brain/server/...",
],
)
# Export the BUILD file so automated tooling can check licenses
exports_files([
"BUILD",
])
# Authorized users go here.
package_group(
name = "friends",
packages = if_google([
"//learning/brain/...",
"//tensorflow/...",
"@tf_runtime//...",
"//third_party/tf_runtime_google/...",
]),
)
# -----------------------------------------------------------------------------
# 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.
COMMON_PROTO_SRCS = [
"//tensorflow/core/protobuf:bfc_memory_map.proto",
"//tensorflow/core/protobuf:config.proto",
"//tensorflow/core/protobuf:cluster.proto",
"//tensorflow/core/protobuf:debug.proto",
"//tensorflow/core/protobuf:device_filters.proto",
"//tensorflow/core/protobuf:device_properties.proto",
"//tensorflow/core/protobuf:graph_debug_info.proto",
"//tensorflow/core/protobuf:queue_runner.proto",
"//tensorflow/core/protobuf:rewriter_config.proto",
"//tensorflow/core/protobuf:tensor_bundle.proto",
"//tensorflow/core/protobuf:saver.proto",
"//tensorflow/core/protobuf:status.proto",
"//tensorflow/core/protobuf:verifier_config.proto",
]
EXAMPLE_PROTO_SRCS = [
"//tensorflow/core/example:example.proto",
"//tensorflow/core/example:feature.proto",
]
UTIL_PROTO_SRCS = [
"//tensorflow/core/util:event.proto",
"//tensorflow/core/util:memmapped_file_system.proto",
"//tensorflow/core/util:saved_tensor_slice.proto",
]
FRAMEWORK_PROTO_SRCS = [
"//tensorflow/core/framework:allocation_description.proto",
"//tensorflow/core/framework:api_def.proto",
"//tensorflow/core/framework:attr_value.proto",
"//tensorflow/core/framework:cost_graph.proto",
"//tensorflow/core/framework:device_attributes.proto",
"//tensorflow/core/framework:function.proto",
"//tensorflow/core/framework:graph.proto",
"//tensorflow/core/framework:graph_transfer_info.proto",
"//tensorflow/core/framework:kernel_def.proto",
"//tensorflow/core/framework:log_memory.proto",
"//tensorflow/core/framework:model.proto",
"//tensorflow/core/framework:node_def.proto",
"//tensorflow/core/framework:op_def.proto",
"//tensorflow/core/framework:dataset_metadata.proto",
"//tensorflow/core/framework:dataset_options.proto",
"//tensorflow/core/framework:reader_base.proto",
"//tensorflow/core/framework:resource_handle.proto",
"//tensorflow/core/framework:step_stats.proto",
"//tensorflow/core/framework:summary.proto",
"//tensorflow/core/framework:tensor.proto",
"//tensorflow/core/framework:tensor_description.proto",
"//tensorflow/core/framework:tensor_shape.proto",
"//tensorflow/core/framework:tensor_slice.proto",
"//tensorflow/core/framework:types.proto",
"//tensorflow/core/framework:variable.proto",
"//tensorflow/core/framework:versions.proto",
]
PROFILER_PROTO_SRCS = [
"//tensorflow/core/profiler/protobuf:xplane.proto",
"//tensorflow/core/profiler:profiler_options.proto",
]
ERROR_CODES_PROTO_SRCS = [
"//tensorflow/core/protobuf:error_codes.proto",
"//tensorflow/core/lib/core:error_codes.proto",
]
CORE_PROTO_SRCS = COMMON_PROTO_SRCS + EXAMPLE_PROTO_SRCS + FRAMEWORK_PROTO_SRCS + UTIL_PROTO_SRCS + PROFILER_PROTO_SRCS + ERROR_CODES_PROTO_SRCS
tf_proto_library(
name = "protos_all",
srcs = [],
cc_api_version = 2,
create_go_proto = False,
make_default_target_header_only = True,
protodeps = [
"//tensorflow/core/example:protos_all",
"//tensorflow/core/framework:protos_all",
"//tensorflow/core/lib/core:error_codes_proto",
"//tensorflow/core/profiler/protobuf:xplane_proto",
"//tensorflow/core/profiler:profiler_options_proto",
"//tensorflow/core/protobuf:error_codes_proto_impl",
"//tensorflow/core/protobuf:for_core_protos",
"//tensorflow/core/util:protos_all",
"//tensorflow/core/util:test_log_proto_impl",
"//tensorflow/core/grappler/costs:op_performance_data",
],
visibility = ["//visibility:public"],
)
tf_jspb_proto_library(
name = "protos_all_jspb_proto",
visibility = ["//visibility:public"],
deps = [":protos_all"],
)
alias(
name = "example_protos",
actual = "//tensorflow/core/example:example_protos",
visibility = ["//visibility:public"],
)
java_proto_library(
name = "example_java_proto",
visibility = ["//visibility:public"],
deps = [":example_protos"],
)
cc_library(
name = "platform_base",
hdrs = ["//tensorflow/core/platform:base_hdrs"],
copts = tf_copts(),
tags = ["avoid_dep"],
deps = [
"//tensorflow/core/platform",
"//tensorflow/core/platform:byte_order",
"//tensorflow/core/platform:cord",
"//tensorflow/core/platform:env_time",
"//tensorflow/core/platform:logging",
"//tensorflow/core/platform:macros",
"//tensorflow/core/platform:threadpool_interface",
"//tensorflow/core/platform:threadpool_options",
"//tensorflow/core/platform:types",
"@com_google_absl//absl/base",
"@com_google_absl//absl/strings",
],
)
# Minimal lib so that tools used for mobile compilation
# don't have to depend on lib/platformlib.
cc_library(
name = "lib_proto_parsing",
hdrs = [
"//tensorflow/core/lib/core:legacy_lib_proto_parsing_headers",
"//tensorflow/core/lib/strings:legacy_lib_proto_parsing_headers",
"//tensorflow/core/platform:lib_proto_parsing_hdrs",
],
copts = tf_copts(),
deps = tf_lib_proto_parsing_deps() + [
":platform_base",
"@com_google_absl//absl/strings",
"@double_conversion//:double-conversion",
"//tensorflow/core/lib/core:errors",
"//tensorflow/core/lib/core:stringpiece",
"//tensorflow/core/lib/core:status",
"//tensorflow/core/lib/strings:numbers",
"//tensorflow/core/lib/strings:strcat",
"//tensorflow/core/platform:platform_port",
"//tensorflow/core/platform:logging",
"//tensorflow/core/platform:macros",
"//tensorflow/core/platform:protobuf",
"//tensorflow/core/platform",
"//tensorflow/core/platform:status",
"//tensorflow/core/platform:stringpiece",
"//tensorflow/core/platform:tstring",
"//tensorflow/core/platform:types",
],
)
# This build rule (along with :lib_internal, :framework, and
# :framework_internal) purposefully omits the definitions of many declared
# symbols, which are included in //tensorflow:libtensorflow_framework.so. Using
# tf_cc_test and tf_cc_binary will include the necessary symbols.
cc_library(
name = "lib",
hdrs = [
# TODO(rmlarsen): Remove bfloat16.h once dependency in third_party/swift is updated.
"//tensorflow/core/lib/bfloat16:bfloat16.h",
"//tensorflow/core/lib/core:legacy_lib_core_headers",
"//tensorflow/core/lib/gtl:legacy_lib_gtl_headers",
"//tensorflow/core/lib/hash:legacy_lib_hash_all_headers",
"//tensorflow/core/lib/histogram:legacy_lib_histogram_all_headers",
"//tensorflow/core/lib/io:legacy_lib_io_headers",
"//tensorflow/core/lib/math:math_util.h",
"//tensorflow/core/lib/monitoring:legacy_lib_monitoring_lib_headers",
"//tensorflow/core/lib/random:legacy_lib_random_headers",
"//tensorflow/core/lib/strings:legacy_lib_string_headers",
"//tensorflow/core/platform:lib_hdrs",
"//tensorflow/core/util:lib_hdrs",
],
visibility = ["//visibility:public"],
deps = [
":lib_internal",
"@com_google_absl//absl/container:inlined_vector",
"@com_google_absl//absl/strings",
"@com_google_absl//absl/strings:cord",
"@com_google_absl//absl/types:optional",
],
)
alias(
name = "feature_util",
actual = "//tensorflow/core/example:feature_util",
visibility = ["//visibility:public"],
)
# DEPRECATED: use platform:stringpiece instead.
cc_library(
name = "core_stringpiece",
hdrs = ["//tensorflow/core/lib/core:legacy_lib_core_stringpiece_header"],
copts = tf_copts(),
deps = [
"//tensorflow/core/platform:stringpiece",
],
)
# 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 = [
"//tensorflow/core/platform:legacy_test_srcs",
],
hdrs = [
"//tensorflow/core/lib/core:legacy_lib_core_status_test_util_header",
"//tensorflow/core/platform:test_hdrs",
"//tensorflow/core/util:test_hdrs",
],
copts = tf_copts(),
linkopts = select({
"//tensorflow:windows": [],
"//conditions:default": ["-lm"],
}),
visibility = ["//visibility:public"],
deps = [
":function_ops_op_lib",
":functional_ops_op_lib",
":lib",
":lib_internal",
":protos_all_cc",
"//tensorflow/core/platform/default/build_config:gtest",
"//tensorflow/core/kernels:required",
"@com_google_benchmark//:benchmark",
"@com_google_googletest//:gtest",
] + tf_additional_test_deps(),
)
# This build rule (along with :framework_internal, :lib, and :lib_internal)
# purposefully omits the definitions of many declared symbols, which are
# included in //tensorflow:libtensorflow_framework.so. Using tf_cc_test and tf_cc_binary
# will include the necessary symbols.
tf_cuda_library(
name = "framework",
hdrs = [
"//tensorflow/core/example:feature_util.h",
"//tensorflow/core/framework:allocator.h",
"//tensorflow/core/framework:allocator_registry.h",
"//tensorflow/core/framework:attr_value_util.h",
"//tensorflow/core/framework:bfloat16.h",
"//tensorflow/core/framework:bounds_check.h",
"//tensorflow/core/framework:cancellation.h",
"//tensorflow/core/framework:collective.h",
"//tensorflow/core/framework:common_shape_fns.h",
"//tensorflow/core/framework:control_flow.h", # TODO(josh11b): Make internal?
"//tensorflow/core/framework:dataset.h",
"//tensorflow/core/framework:dataset_stateful_op_allowlist.h",
"//tensorflow/core/framework:device.h",
"//tensorflow/core/framework:device_base.h",
"//tensorflow/core/framework:device_factory.h",
"//tensorflow/core/framework:function.h",
"//tensorflow/core/framework:function_handle_cache.h",
"//tensorflow/core/framework:graph_def_util.h",
"//tensorflow/core/framework:graph_to_functiondef.h",
"//tensorflow/core/framework:kernel_def_builder.h",
"//tensorflow/core/framework:kernel_def_util.h",
"//tensorflow/core/framework:kernel_shape_util.h",
"//tensorflow/core/framework:log_memory.h",
"//tensorflow/core/framework:logging.h",
"//tensorflow/core/framework:lookup_interface.h",
"//tensorflow/core/framework:memory_types.h",
"//tensorflow/core/framework:metrics.h",
"//tensorflow/core/framework:node_def_builder.h",
"//tensorflow/core/framework:node_def_util.h",
"//tensorflow/core/framework:node_properties.h",
"//tensorflow/core/framework:numeric_op.h",
"//tensorflow/core/framework:numeric_types.h",
"//tensorflow/core/framework:op.h",
"//tensorflow/core/framework:op_def_builder.h",
"//tensorflow/core/framework:op_def_util.h",
"//tensorflow/core/framework:op_kernel.h",
"//tensorflow/core/framework:op_requires.h",
"//tensorflow/core/framework:ops_util.h",
"//tensorflow/core/framework:partial_tensor_shape.h",
"//tensorflow/core/framework:queue_interface.h",
"//tensorflow/core/framework:reader_interface.h",
"//tensorflow/core/framework:reader_op_kernel.h",
"//tensorflow/core/framework:register_types.h",
"//tensorflow/core/framework:register_types_traits.h",
"//tensorflow/core/framework/registration:options.h",
"//tensorflow/core/framework:resource_mgr.h",
"//tensorflow/core/framework:resource_handle.h",
"//tensorflow/core/framework:resource_op_kernel.h",
"//tensorflow/core/framework:rng_alg.h",
"//tensorflow/core/framework/registration:registration.h",
"//tensorflow/core/framework:session_state.h",
"//tensorflow/core/framework:shape_inference.h",
"//tensorflow/core/framework:shared_ptr_variant.h",
"//tensorflow/core/framework:stats_aggregator.h",
"//tensorflow/core/framework:tensor.h",
"//tensorflow/core/framework:tensor_shape.h",
"//tensorflow/core/framework:tensor_slice.h",
"//tensorflow/core/framework:tensor_types.h",
"//tensorflow/core/framework:tensor_util.h",
"//tensorflow/core/framework:thread_factory.h",
"//tensorflow/core/framework:tracking_allocator.h",
"//tensorflow/core/framework:type_index.h",
"//tensorflow/core/framework:type_traits.h",
"//tensorflow/core/framework:typed_allocator.h",
"//tensorflow/core/framework:types.h",
"//tensorflow/core/framework:variant.h",
"//tensorflow/core/framework:variant_encode_decode.h",
"//tensorflow/core/framework:variant_op_registry.h",
"//tensorflow/core/framework:variant_tensor_data.h",
"//tensorflow/core/util/sparse:framework_group",
"//tensorflow/core/util:framework_srcs",
"//tensorflow/core/util:memmapped_file_system_hdrs",
"//tensorflow/core/util:determinism_hdr",
"//tensorflow/core/public:version.h",
"//tensorflow/lite/kernels/shim:tf_headers",
] + if_mkl([
"//tensorflow/core/util:mkl_util_hdrs",
]),
visibility = ["//visibility:public"],
deps = [
":framework_internal",
"@com_google_absl//absl/base",
],
)
alias(
name = "ptr_util",
actual = "//tensorflow/core/util:ptr_util",
)
# TODO(gonnet): Remove this alias once all users have been moved to the actual target.
alias(
name = "reader_base",
actual = "//tensorflow/core/framework:reader_base",
visibility = ["//visibility:public"],
)
# TODO(gonnet): Remove this alias once all users have been moved to the actual target.
alias(
name = "op_gen_lib",
actual = "//tensorflow/core/framework:op_gen_lib",
visibility = ["//visibility:public"],
)
cc_library(
name = "session_options",
hdrs = ["//tensorflow/core/public:session_options.h"],
visibility = ["//visibility:public"],
deps = [
":lib",
":protos_all_cc",
],
)
cc_library(
name = "framework_lite",
hdrs = [
"//tensorflow/core/framework:numeric_types.h",
"//tensorflow/core/framework:tensor_types.h",
"//tensorflow/core/framework:type_traits.h",
"//tensorflow/core/platform:framework_lite_hdrs",
"//tensorflow/core/platform/default:integral_types.h",
"//tensorflow/core/platform/default:logging.h",
],
visibility = ["//visibility:public"],
deps =
# copybara:uncomment_begin
# if_mobile(["@nsync//:nsync_cpp"]) +
# copybara:uncomment_end_uncomment_begin
# ["@nsync//:nsync_cpp"] +
# copybara:comment_end
[
"//third_party/eigen3",
"//tensorflow/core/platform:dynamic_annotations",
"//tensorflow/core/platform:platform_port",
"//tensorflow/core/platform:thread_annotations",
"//tensorflow/core/platform:mutex",
"//tensorflow/core/platform/default/build_config:minimal",
"//tensorflow/core/platform:types",
],
)
# One target for all user ops.
alias(
name = "user_ops_op_lib",
actual = "//tensorflow/core/user_ops:user_ops_op_lib",
visibility = ["//visibility:public"],
)
cc_library(
name = "ops",
visibility = ["//visibility:public"],
deps = [
":user_ops_op_lib",
"//tensorflow/c/kernels:bitcast_op_lib",
"//tensorflow/c/kernels:histogram_summary_op_lib",
"//tensorflow/c/kernels:merge_summary_op_lib",
"//tensorflow/c/kernels:summary_op_lib",
"//tensorflow/core/ops:ops",
] + select({
# Non-tpu platforms don't need tpu dependency.
"//tensorflow:chromiumos": [],
"//tensorflow:fuchsia": [],
"//conditions:default": ["//tensorflow/core/tpu/ops"],
}) + if_tensorrt([
"//tensorflow/compiler/tf2tensorrt:trt_engine_resource_ops_op_lib",
"//tensorflow/compiler/tf2tensorrt:trt_op_libs",
]) + if_libtpu(
if_false = ["//tensorflow/compiler/mlir/tensorflow:mlir_passthrough_op"],
if_true = [],
),
)
alias(
name = "core_cpu",
actual = "//tensorflow/core/common_runtime:core_cpu",
visibility = ["//visibility:public"],
)
alias(
name = "core",
actual =
"//tensorflow/core/common_runtime:core",
visibility = ["//visibility:public"],
)
# This includes implementations of all kernels built into TensorFlow.
cc_library(
name = "all_kernels_impl",
visibility = [":__subpackages__"],
deps = [
"//tensorflow/c/kernels:bitcast_op",
"//tensorflow/c/kernels:histogram_summary_op",
"//tensorflow/c/kernels:merge_summary_op",
"//tensorflow/c/kernels:summary_op",
"//tensorflow/core/kernels:array",
"//tensorflow/core/kernels:audio",
"//tensorflow/core/kernels:batch_kernels",
"//tensorflow/core/kernels:bincount_op",
"//tensorflow/core/kernels:boosted_trees_ops",
"//tensorflow/core/kernels:candidate_sampler_ops",
"//tensorflow/core/kernels:checkpoint_ops",
"//tensorflow/core/kernels:clustering_ops",
"//tensorflow/core/kernels:collective_ops",
"//tensorflow/core/kernels:constant_op",
"//tensorflow/core/kernels:control_flow_ops",
"//tensorflow/core/kernels:count_ops",
"//tensorflow/core/kernels:ctc_ops",
"//tensorflow/core/kernels:data_flow",
"//tensorflow/core/kernels:decode_proto_op",
"//tensorflow/core/kernels:encode_proto_op",
"//tensorflow/core/kernels:composite_tensor_ops",
"//tensorflow/core/kernels:fact_op",
"//tensorflow/core/kernels:fake_quant_ops",
"//tensorflow/core/kernels:function_ops",
"//tensorflow/core/kernels:functional_ops",
"//tensorflow/core/kernels:grappler",
"//tensorflow/core/kernels:histogram_op",
"//tensorflow/core/kernels:io",
"//tensorflow/core/kernels:isotonic_regression_op",
"//tensorflow/core/kernels:lookup",
"//tensorflow/core/kernels:logging",
"//tensorflow/core/kernels:manip",
"//tensorflow/core/kernels:math",
"//tensorflow/core/kernels:multinomial_op",
"//tensorflow/core/kernels:mutex_ops",
"//tensorflow/core/kernels:nn",
"//tensorflow/core/kernels:parameterized_truncated_normal_op",
"//tensorflow/core/kernels:parsing",
"//tensorflow/core/kernels:partitioned_function_ops",
"//tensorflow/core/kernels:pooling_ops",
"//tensorflow/core/kernels:quantized_ops",
"//tensorflow/core/kernels:ragged_ops",
"//tensorflow/core/kernels:random_ops",
"//tensorflow/core/kernels:stateful_random_ops",
"//tensorflow/core/kernels:random_binomial_op",
"//tensorflow/core/kernels:random_poisson_op",
"//tensorflow/core/kernels:required",
"//tensorflow/core/kernels:resource_variable_ops",
"//tensorflow/core/kernels:rnn_ops",
"//tensorflow/core/kernels:scoped_allocator_ops",
"//tensorflow/core/kernels:sdca_ops",
"//tensorflow/core/kernels:searchsorted_op",
"//tensorflow/core/kernels:set_kernels",
"//tensorflow/core/kernels:sparse",
"//tensorflow/core/kernels:state",
"//tensorflow/core/kernels:stateless_random_ops",
"//tensorflow/core/kernels:stateless_random_gamma_op",
"//tensorflow/core/kernels:string",
"//tensorflow/core/kernels:summary_kernels",
"//tensorflow/core/kernels:training_ops",
"//tensorflow/core/kernels:word2vec_kernels",
"//tensorflow/core/kernels/linalg:linalg",
"//tensorflow/core/kernels/image:image",
"//tensorflow/core/kernels/sparse:kernels",
] + if_mkl([
"//tensorflow/core/kernels/mkl:mkl_aggregate_ops",
"//tensorflow/core/kernels/mkl:mkl_concat_op",
"//tensorflow/core/kernels/mkl:mkl_dequantize_op",
"//tensorflow/core/kernels/mkl:mkl_conv_op",
"//tensorflow/core/kernels/mkl:mkl_cwise_ops_common",
"//tensorflow/core/kernels/mkl:mkl_fused_batch_norm_op",
"//tensorflow/core/kernels/mkl:mkl_identity_op",
"//tensorflow/core/kernels/mkl:mkl_input_conversion_op",
"//tensorflow/core/kernels/mkl:mkl_lrn_op",
"//tensorflow/core/kernels/mkl:mkl_pooling_ops",
"//tensorflow/core/kernels/mkl:mkl_qmatmul_op",
"//tensorflow/core/kernels/mkl:mkl_requantize_ops",
"//tensorflow/core/kernels/mkl:mkl_quantize_op",
"//tensorflow/core/kernels/mkl:mkl_relu_op",
"//tensorflow/core/kernels/mkl:mkl_reshape_op",
"//tensorflow/core/kernels/mkl:mkl_slice_op",
"//tensorflow/core/kernels/mkl:mkl_softmax_op",
"//tensorflow/core/kernels/mkl:mkl_transpose_op",
"//tensorflow/core/kernels/mkl:mkl_batch_matmul_op",
"//tensorflow/core/kernels/mkl:mkl_einsum_op",
"//tensorflow/core/kernels/mkl:mkl_matmul_op",
"//tensorflow/core/kernels/mkl:mkl_tfconv_op",
"//tensorflow/core/kernels/mkl:mkl_tmp_bf16_ops",
]) + if_cuda_or_rocm([
"//tensorflow/core/kernels:cudnn_rnn_kernels",
]) + if_cuda([
"//tensorflow/core/grappler/optimizers:gpu_swapping_kernels",
"//tensorflow/core/grappler/optimizers:gpu_swapping_ops",
]) + if_nccl([
"//tensorflow/core/kernels:nccl_kernels",
]) + if_tensorrt([
"//tensorflow/compiler/tf2tensorrt:trt_engine_resource_op_kernels",
"//tensorflow/compiler/tf2tensorrt:trt_op_kernels",
]) + tf_tpu_dependencies(),
)
cc_library(
name = "dynamic_kernels_impl",
visibility = [":__subpackages__"],
deps = [
"//tensorflow/core/kernels:sobol_op",
],
)
cc_library(
name = "all_kernels",
visibility = ["//visibility:public"],
deps = if_dynamic_kernels(
[],
otherwise = [":dynamic_kernels_impl"],
) + [
# TODO(gunan): Split this up and load the resulting kernels dynamically once
# the dependency issues are resolved.
":all_kernels_impl",
# TODO(gunan): Work on the API between these and rest of TF and make
# these also dynamically loading.
"//tensorflow/core/kernels:dataset_ops", # Depends on grappler
"//tensorflow/core/kernels:list_kernels", # Depends on variant_op_registry.h
"//tensorflow/core/kernels:map_kernels",
"//tensorflow/core/kernels:tensor_map",
],
)
tf_cuda_library(
name = "tensorflow_opensource",
copts = tf_copts(),
visibility = ["//visibility:public"],
deps = [
":all_kernels",
":core",
":direct_session",
":example_parser_configuration",
":gpu_runtime",
":lib",
":ops",
] + tensorflow_opensource_extra_deps(),
)
cc_library(
name = "tensorflow",
visibility = ["//visibility:public"],
deps = [
":tensorflow_opensource",
"//tensorflow/core/platform/default/build_config:tensorflow_platform_specific",
],
)
cc_library(
name = "distributed_tensorflow_dependencies",
visibility = ["//visibility:public"],
deps = [
"//tensorflow/core/distributed_runtime/rpc:grpc_session",
"//tensorflow/core/kernels:data_service_ops",
"//tensorflow/distribute/experimental/rpc/kernels:rpc_ops",
],
)
cc_library(
name = "testlib_kernels_impl",
deps = [
"//tensorflow/core/kernels:aggregate_ops",
"//tensorflow/core/kernels:bcast_ops",
"//tensorflow/core/kernels:cast_op",
"//tensorflow/core/kernels:constant_op",
"//tensorflow/core/kernels:host_constant_op",
"//tensorflow/core/kernels:identity_op",
"//tensorflow/core/kernels:random_ops",
"//tensorflow/core/kernels:reduction_ops",
"//tensorflow/core/kernels:reshape_op",
],
)
# Test support library needed for higher-level (TensorFlow-specific) tests
tf_cuda_library(
name = "testlib",
testonly = 1,
srcs = [
"//tensorflow/core/common_runtime:testlib_srcs",
"//tensorflow/core/graph:testlib_srcs",
],
hdrs = [
"//tensorflow/core/common_runtime:testlib_headers",
"//tensorflow/core/graph:testlib_headers",
# TODO(josh11b): Drop this once users are depending on
# kernels:ops_testutil instead.
"//tensorflow/core/kernels:ops_testutil.h",
# TODO(gonnet): Stop exporting these headers once users depend on
# the tensorflow/core/framework:* targets directly.
"//tensorflow/core/framework:shape_inference_testutil.h",
"//tensorflow/core/framework:tensor_testutil.h",
"//tensorflow/core/framework:fake_input.h",
"//tensorflow/core/framework:function_testlib.h",
],
copts = tf_copts(),
visibility = ["//visibility:public"],
deps = [
":core_cpu",
":core_cpu_internal",
":core_cpu_lib",
":framework",
":framework_internal",
":lib",
":lib_internal",
":ops",
":protos_all_cc",
":test",
# TODO(gunan): resolve dependency issues and load these kernels dynamically.
":testlib_kernels_impl",
"//tensorflow/cc:scope",
"//tensorflow/core/common_runtime:testlib_ops",
"//tensorflow/core/framework:fake_input",
"//tensorflow/core/framework:function_testlib",
"//tensorflow/core/framework:shape_inference_testutil",
"//tensorflow/core/framework:tensor_testutil",
"//tensorflow/core/kernels:ops_testutil",
"//tensorflow/core/kernels:ops_util",
],
)
# 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 = [
"//tensorflow/core/common_runtime:direct_session_internal",
],
alwayslink = 1,
)
# -----------------------------------------------------------------------------
# Public Android targets
# Sources required to build the TensorFlow framework without the runtime on
# mobile platforms. This is essentially the sources required to build
# tensorflow/core/framework:tensor without using granular targets.
filegroup(
name = "mobile_srcs_no_runtime",
srcs = [
"//tensorflow/compiler/jit:mobile_srcs_no_runtime",
"//tensorflow/core/example:mobile_srcs_no_runtime",
"//tensorflow/core/framework:attr_value_proto_text_srcs",
"//tensorflow/core/framework:mobile_srcs_no_runtime",
"//tensorflow/core/lib/core:mobile_srcs_no_runtime",
"//tensorflow/core/lib/gtl:mobile_srcs_no_runtime",
"//tensorflow/core/lib/hash:mobile_srcs_no_runtime",
"//tensorflow/core/lib/strings:mobile_srcs_no_runtime",
"//tensorflow/core/platform:mobile_srcs_no_runtime",
"//tensorflow/core/public:mobile_srcs_no_runtime",
"//tensorflow/core/util:mobile_srcs_no_runtime",
"//tensorflow/core/util/ctc:mobile_srcs",
"//tensorflow/core/profiler:mobile_srcs_no_runtime",
] + glob(
[
"client/**/*.cc",
],
exclude = [
"**/*test.*",
"**/*testutil*",
"**/*testlib*",
"**/*main.cc",
],
),
visibility = ["//visibility:public"],
)
# Sources required to build the TensorFlow framework with runtime on
# mobile platforms without granular targets. It is assumed that the source
# files in tensorflow/core:mobile_srcs_no_runtime have been compiled
# separately and are linked in as a dependency.
filegroup(
name = "mobile_srcs_only_runtime",
srcs = [
# Sources for which we do not yet have granular targets.
"//tensorflow/c/eager:srcs",
# StreamExecutor C API is currently not supported for mobile.
# Including just the header for SP_Stream reference in kernels C API.
"//tensorflow/c/experimental/stream_executor:headers",
"//tensorflow/c:srcs",
"//tensorflow/core/common_runtime:mobile_srcs_only_runtime",
"//tensorflow/core/common_runtime/eager:srcs",
"//tensorflow/core/framework:mobile_srcs_only_runtime",
"//tensorflow/core/graph:mobile_srcs_only_runtime",
"//tensorflow/core/kernels:mobile_srcs",
"//tensorflow/core/lib/io:mobile_srcs_only_runtime",
"//tensorflow/core/nccl:mobile_srcs",
"//tensorflow/core/profiler:mobile_srcs_only_runtime",
"//tensorflow/core/public:mobile_srcs_only_runtime",
"//tensorflow/core/util/sparse:mobile_srcs_only_runtime",
"//tensorflow/core/util/tensor_bundle:mobile_srcs",
"//tensorflow/core/util:mobile_srcs_only_runtime",
# Sources for which we already have granular targets.
"//tensorflow/core/lib/core:mobile_srcs_only_runtime",
"//tensorflow/core/lib/gtl:mobile_srcs_only_runtime",
"//tensorflow/core/lib/hash:mobile_srcs_only_runtime",
"//tensorflow/core/lib/histogram:mobile_srcs_only_runtime",
"//tensorflow/core/lib/math:mobile_srcs_only_runtime",
"//tensorflow/core/lib/monitoring:mobile_srcs_only_runtime",
"//tensorflow/core/lib/random:mobile_srcs_only_runtime",
"//tensorflow/core/lib/strings:mobile_srcs_only_runtime",
"//tensorflow/core/platform:mobile_srcs_only_runtime",
# Wav io files
"//tensorflow/core/lib/wav:wav_io.h",
"//tensorflow/core/lib/wav:wav_io.cc",
],
visibility = ["//visibility:public"],
)
filegroup(
name = "mobile_srcs",
srcs = [
":mobile_srcs_no_runtime",
":mobile_srcs_only_runtime",
],
visibility = ["//visibility:public"],
)
# All the aliases for stuff under ops/
# Once the dependencies move to the real targets, remove the aliases here!
[
alias(
name = "%s" % (name,),
actual = "//tensorflow/core/ops:%s" % (name,),
visibility = ["//visibility:public"],
)
for name in [
"array_grad",
"array_ops_op_lib",
"audio_ops_op_lib",
"batch_ops_op_lib",
"bitwise_ops_op_lib",
"boosted_trees_ops_op_lib",
"candidate_sampling_ops_op_lib",
"checkpoint_ops_op_lib",
"clustering_ops_op_lib",
"collective_ops_op_lib",
"control_flow_ops_op_lib",
"count_ops_op_lib",
"ctc_ops_op_lib",
"cudnn_rnn_ops_op_lib",
"data_flow_ops_op_lib",
"dataset_ops_op_lib",
"debug_ops_op_lib",
"decode_proto_ops_op_lib",
"encode_proto_ops_op_lib",
"experimental_dataset_ops_op_lib",
"function_ops_op_lib",
"functional_grad",
"functional_ops_op_lib",
"image_ops_op_lib",
"io_ops_op_lib",
"linalg_ops_op_lib",
"list_ops_op_lib",
"logging_ops_op_lib",
"lookup_ops_op_lib",
"manip_ops_op_lib",
"map_ops_op_lib",
"math_grad",
"math_ops_op_lib",
"mkl_array_ops_op_lib",
"mkl_nn_ops_op_lib",
"nccl_ops_op_lib",
"nn_grad",
"nn_ops_op_lib",
"no_op_op_lib",
"parsing_ops_op_lib",
"portable_op_registrations_and_gradients",
"ragged_array_ops_op_lib",
"ragged_conversion_ops_op_lib",
"ragged_math_ops_op_lib",
"ragged_ops",
"composite_tensor_ops_op_lib",
"random_grad_op_lib",
"random_ops_op_lib",
"resource_variable_ops_op_lib",
"risc_ops_op_lib",
"rnn_ops_op_lib",
"scoped_allocator_ops_op_lib",
"script_ops_op_lib",
"sdca_ops_op_lib",
"sendrecv_ops_op_lib",
"set_ops_op_lib",
"sparse_csr_matrix_ops_op_lib",
"sparse_ops_op_lib",
"special_math_ops_op_lib",
"spectral_ops_op_lib",
"state_ops_op_lib",
"stateful_random_ops_op_lib",
"stateless_random_ops_op_lib",
"stateless_random_ops_v2_op_lib",
"string_ops_op_lib",
"summary_ops_op_lib",
"tpu_configuration_ops_op_lib",
"tpu_cross_replica_ops_op_lib",
"tpu_embedding_ops_op_lib",
"tpu_embedding_load_retrieve_ops_op_lib",
"tpu_functional_ops_op_lib",
"tpu_heartbeat_ops_op_lib",
"tpu_host_compute_ops_op_lib",
"tpu_infeed_ops_op_lib",
"tpu_outfeed_ops_op_lib",
"tpu_ordinal_selector_ops_op_lib",
"tpu_replication_ops_op_lib",
"tpu_sharding_util_ops_op_lib",
"training_ops_op_lib",
"word2vec_ops",
]
]
# Native library support for mobile applications. Does not contain
# operators, use :portable_tensorflow_lib if you want full operator
# support.
#
# If you just need TensorFlow types, e.g. Tensors, use
# :portable_tensorflow_lib_lite_no_runtime.
#
# These targets link against either full or lite protos depending
# on the bazel define TENSORFLOW_PROTOS=full/lite respectively.
#
# Compiles to a trivial library on non-mobile to prevent irrelevant
# build errors. If not building this e.g. as part of an android_binary,
# a command such as the following must be used:
# bazel build -c opt tensorflow/core:portable_tensorflow_lib \
# --define=TENSORFLOW_PROTOS=lite \
# --crosstool_top=//external:android/crosstool \
# --cpu=armeabi-v7a \
# --host_crosstool_top=@bazel_tools//tools/cpp:toolchain
cc_library(
name = "portable_tensorflow_lib_lite",
srcs = if_mobile([":mobile_srcs"]),
copts = tf_copts(android_optimization_level_override = None) + tf_opts_nortti_if_lite_protos() + if_ios(["-Os"]),
defines = ["SUPPORT_SELECTIVE_REGISTRATION"] +
select({
"//tensorflow:chromiumos": ["IS_MOBILE_PLATFORM"],
"//tensorflow:fuchsia": ["IS_MOBILE_PLATFORM"],
"//conditions:default": [],
}) +
tf_defines_nortti_if_lite_protos(),
# Using private headers from other libraries violates layering check.
features = ["-layering_check"],
linkopts = if_android(["-lz"]) + if_ios(["-lz"]),
tags = [
"manual",
"notap",
],
visibility = ["//visibility:public"],
deps = [
"//tensorflow/core/util:stats_calculator_portable",
"//tensorflow/core:mobile_additional_lib_deps",
] + tf_portable_proto_lib() + tf_portable_deps_no_runtime(),
alwayslink = 1,
)
# copybara:uncomment_begin(google-only)
# cc_library(
# name = "portable_tensorflow_lib_lite_no_runtime",
# srcs = if_mobile([":mobile_srcs_no_runtime"]),
# copts = tf_copts(android_optimization_level_override = None) + tf_opts_nortti_if_lite_protos() + if_ios(["-Os"]),
# defines = ["SUPPORT_SELECTIVE_REGISTRATION"] + select({
# "//tensorflow:chromiumos": ["IS_MOBILE_PLATFORM"],
# "//tensorflow:fuchsia": ["IS_MOBILE_PLATFORM"],
# "//conditions:default": [],
# }) + tf_defines_nortti_if_lite_protos() + select({
# "//tensorflow:android": ["TF_USE_SNAPPY"],
# "//conditions:default": [],
# }),
# features = ["-layering_check"],
# tags = [
# "manual",
# "notap",
# ],
# visibility = ["//visibility:public"],
# deps = [
# "@com_google_absl//absl/algorithm:container",
# "@com_google_absl//absl/base",
# "@com_google_absl//absl/meta:type_traits",
# "@com_google_absl//absl/strings",
# "@com_google_absl//absl/types:optional",
# "//tensorflow/core/util:managed_stack_trace",
# "//tensorflow/core/util:stats_calculator_portable",
# "//tensorflow/core:mobile_additional_lib_deps",
# ] + tf_portable_proto_lib() + tf_portable_deps_no_runtime(),
# alwayslink = 1,
# )
# copybara:uncomment_end
cc_library(
name = "mobile_additional_lib_deps",
deps = tf_additional_lib_deps() + [
":platform_base",
"@com_google_absl//absl/container:btree",
"@com_google_absl//absl/container:flat_hash_map",
"@com_google_absl//absl/container:flat_hash_set",
"@com_google_absl//absl/strings",
],
)
cc_library(
name = "portable_tensorflow_lib",
srcs = if_mobile([":portable_op_registrations_and_gradients"]),
copts = tf_copts() + tf_opts_nortti_if_lite_protos() + if_ios(["-Os"]),
# Using private headers from other libraries violates layering check.
features = tf_features_nomodules_if_mobile() + ["-layering_check"],
tags = [
"manual",
"notap",
],
visibility = ["//visibility:public"],
deps = [
":portable_tensorflow_lib_lite",
":protos_all_cc_impl",
"//tensorflow/core/kernels:portable_tensorflow_kernels",
"//third_party/eigen3",
"@com_google_protobuf//:protobuf",
],
alwayslink = 1,
)
# This is like android_test_srcs, minus the things that are already in mobile_srcs.
filegroup(
name = "android_test_srcs_no_core",
testonly = 1,
srcs = [
"//tensorflow/core/framework:android_test_hdrs",
"//tensorflow/core/framework:android_test_srcs_no_core",
"//tensorflow/core/platform:android_test_srcs",
"//tensorflow/core/util:android_test_srcs",
],
visibility = ["//visibility:public"],
)
# Portable library providing testing functionality for TensorFlow.
cc_library(
name = "portable_tensorflow_test_lib",
testonly = 1,
srcs = if_mobile([
":android_test_srcs_no_core",
]),
hdrs = [
"//tensorflow/core/framework:android_test_hdrs",
"//tensorflow/core/util:android_test_hdrs",
],
copts = tf_copts(android_optimization_level_override = None) + if_ios(["-Os"]),
features = tf_features_nomodules_if_mobile() + tf_opts_nortti_if_lite_protos(),
tags = [
"manual",
"notap",
],
visibility = ["//visibility:public"],
deps = [
":portable_tensorflow_lib",
"//tensorflow/core/kernels:portable_tensorflow_kernels",
"//tensorflow/core/platform/default/build_config:gtest",
"//third_party/eigen3",
],
)
# -----------------------------------------------------------------------------
# Libraries with GPU facilities that are useful for writing kernels.
alias(
name = "gpu_lib",
actual =
"//tensorflow/core/common_runtime/gpu:gpu_lib",
visibility = ["//visibility:public"],
)
alias(
name = "gpu_headers_lib",
actual =
"//tensorflow/core/common_runtime/gpu:gpu_headers_lib",
visibility = ["//visibility:public"],
)
alias(
name = "cuda",
actual = "//tensorflow/core/common_runtime/gpu:cuda",
visibility = ["//visibility:public"],
)
# -----------------------------------------------------------------------------
# Clif-related proto libraries.
# The following targets will be moved to core/example. The aliases are only temporary
# since moving existing users will require several CLs over several projects.
[
[
alias(
name = "example_%s_pyclif%s" % (proto_name, target_suffix),
actual = "//tensorflow/core/example:%s_pyclif%s" % (proto_name, target_suffix),
visibility = ["//visibility:public"],
)
for target_suffix in [
"",
"_pb2",
]
]
for proto_name in [
"example",
"feature",
]
]
# -----------------------------------------------------------------------------
# Internal targets
filegroup(
name = "lib_internal_private_headers",
srcs = [
"//tensorflow/core/platform:legacy_lib_internal_headers",
"//tensorflow/core/platform:lib_internal_private_hdrs",
"//tensorflow/core/lib/core:legacy_lib_core_all_headers",
"//tensorflow/core/lib/gtl:legacy_lib_gtl_all_headers",
"//tensorflow/core/lib/histogram:legacy_lib_histogram_all_headers",
"//tensorflow/core/lib/hash:legacy_lib_hash_all_headers",
"//tensorflow/core/lib/monitoring:legacy_lib_monitoring_all_headers",
"//tensorflow/core/lib/io:legacy_lib_io_all_headers",
"//tensorflow/core/lib/random:legacy_lib_random_all_headers",
"//tensorflow/core/lib/strings:legacy_lib_strings_all_headers",
"//tensorflow/core/lib/math:math_util.h",
] + glob(
[
"lib/**/*.h",
],
exclude = [
"**/*test*",
"lib/gif/**/*",
"lib/jpeg/**/*",
"lib/png/**/*",
],
),
visibility = ["//visibility:private"],
)
filegroup(
name = "lib_internal_public_headers",
srcs = [
"//tensorflow/core/lib/core:legacy_lib_internal_core_headers",
"//tensorflow/core/lib/gtl:legacy_lib_internal_public_gtl_headers",
"//tensorflow/core/lib/hash:legacy_lib_internal_public_headers",
"//tensorflow/core/lib/io:legacy_lib_internal_public_headers",
"//tensorflow/core/lib/llvm_rtti:legacy_lib_core_all_headers",
"//tensorflow/core/lib/random:legacy_lib_internal_public_random_headers",
"//tensorflow/core/lib/strings:legacy_lib_internal_public_string_headers",
"//tensorflow/core/lib/wav:wav_io.h",
"//tensorflow/core/platform:legacy_platform_lib_hdrs",
"//tensorflow/core/platform:lib_internal_public_hdrs",
"//tensorflow/core/util:lib_internal_public_hdrs",
],
visibility = ["//visibility:private"],
)
cc_library(
name = "lib_internal",
srcs = [":lib_internal_private_headers"],
hdrs = [":lib_internal_public_headers"],
copts = tf_copts(),
linkopts = select({
"//tensorflow:freebsd": [],
"//tensorflow:windows": [],
"//tensorflow:android": [],
"//conditions:default": [
"-ldl",
"-lpthread",
],
}),
deps = tf_additional_lib_deps() + [
"@com_google_absl//absl/meta:type_traits",
"@com_google_absl//absl/strings",
"//third_party/eigen3",
"@com_google_absl//absl/base:core_headers",
"//tensorflow/core/platform/default/build_config:platformlib",
] + if_static([":lib_internal_impl"]),
)
# Until we can ditch config=monolithic on windows, we have to provide an always
# headers only library for pybind rules to depend on.
cc_library(
name = "lib_headers_for_pybind",
srcs = [":lib_internal_private_headers"],
hdrs = [":lib_internal_public_headers"],
copts = tf_copts(),
linkopts = select({
"//tensorflow:freebsd": [],
"//tensorflow:windows": [],
"//tensorflow:android": [],
"//conditions:default": [
"-ldl",
"-lpthread",
],
}),
visibility = ["//tensorflow/python:__subpackages__"],
deps = tf_additional_lib_deps() + [
"@com_google_absl//absl/meta:type_traits",
"@com_google_absl//absl/strings",
"//third_party/eigen3",
"@com_google_absl//absl/base:core_headers",
"//tensorflow/core/platform/default/build_config:platformlib",
],
)
cc_library(
name = "lib_internal_impl",
srcs = [
":lib_internal_private_headers",
"//tensorflow/core/platform:legacy_lib_internal_srcs",
] + glob(
[
"lib/**/*.cc",
],
exclude = [
"**/*test*",
"framework/variant.cc",
"lib/gif/**/*",
"lib/jpeg/**/*",
"lib/png/**/*",
],
),
hdrs = [":lib_internal_public_headers"],
copts = tf_copts(),
deps = tf_additional_lib_deps() + [
":core_stringpiece",
":lib_proto_parsing",
"@com_google_absl//absl/memory",
"@com_google_absl//absl/strings",
"//third_party/eigen3",
"//tensorflow/core/lib/core:arena",
"//tensorflow/core/lib/core:bitmap",
"//tensorflow/core/lib/core:blocking_counter",
"//tensorflow/core/lib/core:bits",
"//tensorflow/core/lib/core:coding",
"//tensorflow/core/lib/core:errors",
"//tensorflow/core/lib/core:notification",
"//tensorflow/core/lib/core:raw_coding",
"//tensorflow/core/lib/core:refcount",
"//tensorflow/core/lib/core:status",
"//tensorflow/core/lib/core:stringpiece",
"//tensorflow/core/lib/core:threadpool",
"//tensorflow/core/lib/core:threadpool_interface",
"//tensorflow/core/lib/core:threadpool_options",
"//tensorflow/core/lib/gtl:array_slice",
"//tensorflow/core/lib/gtl:cleanup",
"//tensorflow/core/lib/gtl:compactptrset",
"//tensorflow/core/lib/gtl:edit_distance",
"//tensorflow/core/lib/gtl:flatmap",
"//tensorflow/core/lib/gtl:flatrep",
"//tensorflow/core/lib/gtl:flatset",
"//tensorflow/core/lib/gtl:inlined_vector",
"//tensorflow/core/lib/gtl:int_type",
"//tensorflow/core/lib/gtl:iterator_range",
"//tensorflow/core/lib/gtl:manual_constructor",
"//tensorflow/core/lib/gtl:map_util",
"//tensorflow/core/lib/gtl:optional",
"//tensorflow/core/lib/gtl:priority_queue_util",
"//tensorflow/core/lib/gtl:top_n",
"//tensorflow/core/lib/hash:crc32c",
"//tensorflow/core/lib/hash",
"//tensorflow/core/lib/histogram",
"//tensorflow/core/lib/io:block",
"//tensorflow/core/lib/io:buffered_inputstream",
"//tensorflow/core/lib/io:compression",
"//tensorflow/core/lib/io:inputbuffer",
"//tensorflow/core/lib/io:inputstream_interface",
"//tensorflow/core/lib/io:iterator",
"//tensorflow/core/lib/io:path",
"//tensorflow/core/lib/io:proto_encode_helper",
"//tensorflow/core/lib/io:random_inputstream",
"//tensorflow/core/lib/io:record_reader",
"//tensorflow/core/lib/io:record_writer",
"//tensorflow/core/lib/io:snappy_compression_options",
"//tensorflow/core/lib/io:snappy_inputbuffer",
"//tensorflow/core/lib/io:snappy_inputstream",
"//tensorflow/core/lib/io:snappy_outputbuffer",
"//tensorflow/core/lib/io:table",
"//tensorflow/core/lib/io:table_options",
"//tensorflow/core/lib/io:zlib_compression_options",
"//tensorflow/core/lib/io:zlib_inputstream",
"//tensorflow/core/lib/io:zlib_outputbuffer",
"//tensorflow/core/lib/math:math_util",
"//tensorflow/core/lib/wav:wav_io",
"//tensorflow/core/lib/monitoring:collected_metrics",
"//tensorflow/core/lib/monitoring:collection_registry",
"//tensorflow/core/lib/monitoring:counter",
"//tensorflow/core/lib/monitoring:gauge",
"//tensorflow/core/lib/monitoring:metric_def",
"//tensorflow/core/lib/monitoring:percentile_sampler",
"//tensorflow/core/lib/monitoring:sampler",
"//tensorflow/core/lib/monitoring:timed",
"//tensorflow/core/lib/random:exact_uniform_int",
"//tensorflow/core/lib/random:philox",
"//tensorflow/core/lib/random:philox_random",
"//tensorflow/core/lib/random",
"//tensorflow/core/lib/random:weighted_picker",
"//tensorflow/core/lib/strings:base64",
"//tensorflow/core/lib/strings:numbers",
"//tensorflow/core/lib/strings:ordered_code",
"//tensorflow/core/lib/strings:proto_serialization",
"//tensorflow/core/lib/strings:proto_text_util",
"//tensorflow/core/lib/strings:scanner",
"//tensorflow/core/lib/strings:str_util",
"//tensorflow/core/lib/strings:strcat",
"//tensorflow/core/lib/strings:stringprintf",
"//tensorflow/core/platform:abi",
"//tensorflow/core/platform:bfloat16",
"//tensorflow/core/platform:base64",
"//tensorflow/core/platform:blocking_counter",
"//tensorflow/core/platform:casts",
"//tensorflow/core/platform:coding",
"//tensorflow/core/platform:context",
"//tensorflow/core/platform:cord",
"//tensorflow/core/platform:cpu_feature_guard",
"//tensorflow/core/platform:denormal",
"//tensorflow/core/platform:dynamic_annotations",
"//tensorflow/core/platform:env",
"//tensorflow/core/platform:env_impl",
"//tensorflow/core/platform:errors",
"//tensorflow/core/platform:file_statistics",
"//tensorflow/core/platform:fingerprint",
"//tensorflow/core/platform:hash",
"//tensorflow/core/platform:load_library",
"//tensorflow/core/platform:logger",
"//tensorflow/core/platform:mutex",
"//tensorflow/core/platform:notification",
"//tensorflow/core/platform:net",
"//tensorflow/core/platform:null_file_system",
"//tensorflow/core/platform:numbers",
"//tensorflow/core/platform:path",
"//tensorflow/core/platform:platform_port",
"//tensorflow/core/platform:platform_strings",
"//tensorflow/core/platform:prefetch",
"//tensorflow/core/platform:profile_utils_cpu_utils",
"//tensorflow/core/platform:protobuf_internal",
"//tensorflow/core/platform:regexp",
"//tensorflow/core/platform:resource",
"//tensorflow/core/platform:scanner",
"//tensorflow/core/platform:setround",
"//tensorflow/core/platform:stacktrace",
"//tensorflow/core/platform:stacktrace_handler",
"//tensorflow/core/platform:status",
"//tensorflow/core/platform:strcat",
"//tensorflow/core/platform:stringpiece",
"//tensorflow/core/platform:stringprintf",
"//tensorflow/core/platform:strong_hash",
"//tensorflow/core/platform:str_util",
"//tensorflow/core/platform:tensor_coding",
"//tensorflow/core/platform:thread_annotations",
"//tensorflow/core/platform:threadpool_interface",
"//tensorflow/core/platform:threadpool_options",
"//tensorflow/core/platform:tracing",
"//tensorflow/core/platform:tstring",
"//tensorflow/core/platform:unbounded_work_queue",
"//tensorflow/core/platform/default/build_config:platformlib",
"//tensorflow/core/util:env_var",
"//tensorflow/core/util:reporter", # TODO(gunan): REMOVE as soon as cc_shared_library is supported.
"@snappy",
"@zlib",
"@double_conversion//:double-conversion",
"@com_google_protobuf//:protobuf",
] + select({
"//tensorflow:fuchsia": [],
"//conditions:default": ["//tensorflow/core/platform:subprocess"],
}) + tf_protos_all_impl() + tf_protos_grappler_impl() + tf_protos_profiler_impl() + tf_monitoring_framework_deps(),
# Alwayslink causes a cc_binary to "always link" in the
# srcs for a given cc_library, even if they are unreferenced, see:
# https://docs.bazel.build/versions/master/be/c-cpp.html#cc_library.alwayslink
# tensorflow/core:lib_internal_impl has alwayslink set so that libtensorflow_framework.so
# contains all of the srcs within lib_internal_impl.
# NOTE(bmzhao): As we refactor tensorflow's BUILD files to more granular targets,
# we've removed srcs from core:lib_internal_impl, and have added deps on these
# granular targets instead. Since alwayslink doesn't apply to these deps,
# we will sometimes need to add alwayslink to the granular libraries instead.
# Ideally, this will be resolved once bazel has full cc_shared_library support.
alwayslink = 1,
)
alias(
name = "gif_internal",
actual = "//tensorflow/core/lib/gif:gif_internal",
)
alias(
name = "jpeg_internal",
actual = "//tensorflow/core/lib/jpeg:jpeg_internal",
)
cc_library(
name = "tflite_portable_logging",
hdrs = [
"//tensorflow/core/platform:tflite_portable_logging_hdrs",
"//tensorflow/core/platform/default:integral_types.h",
"//tensorflow/core/platform/default:logging.h",
],
copts = tf_copts(),
linkopts = select({
"//tensorflow:freebsd": [],
"//tensorflow:windows": [],
"//conditions:default": [
"-ldl",
],
}),
visibility = ["//visibility:public"],
deps = [
":platform_base",
"//tensorflow/core/platform:logging",
],
)
alias(
name = "portable_jpeg_internal",
actual = "//tensorflow/core/lib/jpeg:portable_jpeg_internal",
)
alias(
name = "portable_gif_internal",
actual = "//tensorflow/core/lib/gif:portable_gif_internal",
)
alias(
name = "error_codes_proto_impl",
actual = "//tensorflow/core/protobuf:error_codes_proto_impl",
)
alias(
name = "error_codes_proto_impl_cc",
actual = "//tensorflow/core/protobuf:error_codes_proto_impl_cc",
)
# copybara:uncomment_begin(google-only)
# alias(
# name = "error_codes_proto",
# actual = "//tensorflow/core/lib/core:error_codes_proto",
# )
# copybara:uncomment_end
alias(
name = "version_lib",
actual = "//tensorflow/core/util:version_info",
)
filegroup(
name = "framework_internal_private_headers",
srcs = [
"//tensorflow/core/example:feature_util.h",
"//tensorflow/core/framework:framework_internal_private_hdrs",
"//tensorflow/core/graph:framework_internal_private_headers",
"//tensorflow/core/public:session_options.h",
"//tensorflow/core/util:framework_internal_private_hdrs",
"//tensorflow/core/util:memmapped_file_system_hdrs",
"//tensorflow/core/util/sparse:framework_internal_private_headers_group",
],
visibility = ["//visibility:private"],
)
filegroup(
name = "framework_internal_public_headers",
srcs = [
"//tensorflow/core/framework:model.h",
"//tensorflow/core/framework:op_segment.h",
"//tensorflow/core/framework:rendezvous.h", # only needed for tests
"//tensorflow/core/framework:resource_var.h",
"//tensorflow/core/framework:run_handler.h",
"//tensorflow/core/framework:run_handler_util.h",
"//tensorflow/core/framework:shared_ptr_variant.h",
"//tensorflow/core/framework:tensor_reference.h",
"//tensorflow/core/framework:tracking_allocator.h", # only needed for tests
"//tensorflow/core/framework:variant.h",
"//tensorflow/core/util:framework_internal_public_hdrs",
],
visibility = ["//visibility:private"],
)
tf_cuda_library(
name = "framework_internal",
srcs = [":framework_internal_private_headers"],
hdrs = [":framework_internal_public_headers"],
deps = [
":framework_internal_headers_lib",
"//third_party/eigen3",
":lib",
] + if_static(
extra_deps = [
":framework_internal_impl",
"@com_google_protobuf//:protobuf",
],
otherwise = [
"//tensorflow/core/util:managed_stack_trace",
"@com_google_protobuf//:protobuf_headers",
],
),
alwayslink = 1,
)
cc_header_only_library(
name = "framework_internal_headers_lib",
# Fully depend on external repositories, because identifying the headers
# is fragile.
extra_deps = [
"@com_google_absl//absl/strings",
"@com_google_absl//absl/types:span",
],
deps = [
":lib",
":lib_internal",
":version_lib",
"//tensorflow/core/framework:bounds_check",
"//tensorflow/core/platform/default/build_config:platformlib",
],
)
tf_cuda_library(
name = "framework_internal_impl",
srcs = [
":framework_internal_private_headers",
"//tensorflow/core/framework:framework_internal_impl_srcs",
"//tensorflow/core/graph:framework_internal_impl_srcs",
"//tensorflow/core/util:framework_internal_impl_srcs",
"//tensorflow/core/util:memmapped_file_system_srcs",
"//tensorflow/core/util/sparse:framework_internal_impl_group",
] + glob(
[
],
exclude = [
"**/*test*",
"**/*main.cc",
],
),
hdrs = [":framework_internal_public_headers"],
copts = tf_copts(),
linkopts = select({
"//tensorflow:freebsd": ["-lm"],
"//tensorflow:windows": [],
"//conditions:default": [
"-ldl",
"-lm",
],
}),
deps = [
":feature_util",
":lib",
":lib_internal",
":protos_all_cc",
":version_lib",
"@com_google_absl//absl/base",
"@com_google_absl//absl/container:flat_hash_map",
"@com_google_absl//absl/container:flat_hash_set",
"@com_google_absl//absl/memory",
"@com_google_absl//absl/strings",
"@com_google_absl//absl/synchronization",
"@com_google_absl//absl/time",
"//third_party/eigen3",
"//tensorflow/core/example:feature_util",
"//tensorflow/core/framework:allocator",
"//tensorflow/core/framework:allocator_registry_impl",
"//tensorflow/core/framework:attr_value_proto_text",
"//tensorflow/core/framework:attr_value_util",
"//tensorflow/core/framework:bfloat16",
"//tensorflow/core/framework:bounds_check",
"//tensorflow/core/framework:common_shape_fns",
"//tensorflow/core/framework:kernel_shape_util",
"//tensorflow/core/framework:node_def_util",
"//tensorflow/core/framework:node_properties",
"//tensorflow/core/framework:numeric_types",
"//tensorflow/core/framework:op",
"//tensorflow/core/framework:op_def_builder",
"//tensorflow/core/framework:op_def_util",
"//tensorflow/core/framework:resource_handle",
"//tensorflow/core/framework/registration",
"//tensorflow/core/framework:shape_inference",
"//tensorflow/core/framework:tensor",
"//tensorflow/core/framework:tensor_shape",
"//tensorflow/core/platform:env_impl",
"//tensorflow/core/platform:fingerprint",
"//tensorflow/core/platform/default/build_config:platformlib",
"//tensorflow/core/profiler/lib:annotated_traceme",
"//tensorflow/core/profiler/lib:scoped_memory_debug_annotation",
"//tensorflow/core/profiler/lib:traceme",
"//tensorflow/core/util:determinism",
"//tensorflow/core/util:managed_stack_trace",
"//tensorflow/core/util:einsum_op_util",
"//tensorflow/core/util:padding",
"//tensorflow/core/util:port",
"//tensorflow/core/util:stats_calculator_portable",
"//tensorflow/core/util:tensor_format",
"//tensorflow/compiler/jit:common",
"@com_google_absl//absl/container:btree",
] + if_cuda([
"@local_config_cuda//cuda:cudnn_header",
]) + if_static(
extra_deps = ["@com_google_protobuf//:protobuf"],
otherwise = ["@com_google_protobuf//:protobuf_headers"],
),
alwayslink = 1,
)
cc_header_only_library(
name = "framework_headers_lib",
# Fully depend on external repositories, because identifying the headers
# is fragile.
extra_deps = [
"@com_google_absl//absl/strings",
"@com_google_absl//absl/types:span",
],
visibility = ["//visibility:public"],
deps = [
":framework",
"//tensorflow/core/framework:reader_base",
],
)
cc_header_only_library(
name = "stream_executor_headers_lib",
# Fully depend on external repositories, because identifying the headers
# is fragile.
extra_deps = [
"@com_google_absl//absl/strings",
"@com_google_absl//absl/types:span",
],
visibility = ["//visibility:public"],
deps = [
"//tensorflow/core/platform:stream_executor",
],
)
# Like stream_executor library, but compiles without --config=cuda
# and does not include any cuda dependencies.
alias(
name = "stream_executor_no_cuda",
actual = "//tensorflow/core/platform:stream_executor_no_cuda",
visibility = ["//visibility:public"],
)
alias(
name = "cuda_device_functions",
actual = "//tensorflow/core/util:gpu_device_functions",
visibility = ["//visibility:public"],
)
# Library containing all of the graph construction code that is
# independent of the runtime.
tf_cuda_library(
name = "graph",
srcs = ["//tensorflow/core/graph:graph_srcs"],
hdrs = ["//tensorflow/core/graph:graph_headers"],
deps = [
":framework",
":framework_internal",
":lib",
":lib_internal",
":protos_all_cc",
"//third_party/eigen3",
"@com_google_absl//absl/container:flat_hash_map",
"@com_google_absl//absl/container:flat_hash_set",
"@com_google_absl//absl/strings",
],
)
filegroup(
name = "core_cpu_base_headers",
srcs = [
"//tensorflow/core/common_runtime:core_cpu_base_headers",
],
)
tf_cuda_library(
name = "core_cpu_base",
hdrs = [
":core_cpu_base_headers",
"//tensorflow/core/public:session.h",
],
copts = tf_copts(),
deps = ["//tensorflow/core/common_runtime:core_cpu_base_no_ops"] + if_static([
":function_ops_op_lib",
":functional_grad",
":functional_ops_op_lib",
"//tensorflow/core/framework:bounds_check",
"//tensorflow/core/kernels:required",
]),
alwayslink = 1,
)
alias(
name = "core_cpu_lib",
actual =
"//tensorflow/core/common_runtime:core_cpu_lib",
)
alias(
name = "core_cpu_internal",
actual =
"//tensorflow/core/common_runtime:core_cpu_internal",
)
alias(
name = "direct_session_internal",
actual =
"//tensorflow/core/common_runtime:direct_session_internal",
)
alias(
name = "example_parser_configuration",
actual = "//tensorflow/core/example:example_parser_configuration",
visibility = ["//visibility:public"],
)
alias(
name = "gpu_runtime",
actual =
"//tensorflow/core/common_runtime/gpu:gpu_runtime",
)
# -----------------------------------------------------------------------------
# Tests
cc_library(
name = "lib_test_internal",
testonly = 1,
hdrs = [
"//tensorflow/core/lib/gtl:legacy_lib_test_internal_headers",
"//tensorflow/core/lib/io:legacy_lib_test_internal_headers",
"//tensorflow/core/lib/random:legacy_lib_test_internal_headers",
],
deps = [
":lib",
":lib_internal",
],
)
# Main program for tests
alias(
name = "test_main",
actual = "//tensorflow/core/platform:test_main",
visibility = ["//tensorflow:internal"],
)
tf_cc_tests(
name = "low_level_library_tests",
size = "small",
srcs = [
"//tensorflow/core/lib/core:legacy_lib_core_all_tests",
"//tensorflow/core/lib/gtl:legacy_lib_gtl_tests",
"//tensorflow/core/lib/hash:legacy_lib_hash_all_tests",
"//tensorflow/core/lib/histogram:legacy_lib_histogram_all_tests",
"//tensorflow/core/lib/io:legacy_lib_io_all_tests",
"//tensorflow/core/lib/math:math_util_test.cc",
"//tensorflow/core/lib/monitoring:collection_registry_test.cc",
"//tensorflow/core/lib/monitoring:counter_test.cc",
"//tensorflow/core/lib/monitoring:gauge_test.cc",
"//tensorflow/core/lib/monitoring:metric_def_test.cc",
"//tensorflow/core/lib/monitoring:percentile_sampler_test.cc",
"//tensorflow/core/lib/monitoring:sampler_test.cc",
"//tensorflow/core/lib/random:legacy_lib_random_tests",
"//tensorflow/core/lib/strings:legacy_low_level_library_tests",
"//tensorflow/core/lib/wav:wav_io_test.cc",
],
deps = [
":lib",
":lib_internal",
":lib_test_internal",
":protos_all_cc",
":test",
":test_main",
"//tensorflow/core/platform:scanner",
"//tensorflow/core/platform:str_util",
"//tensorflow/core/platform:strcat",
"//tensorflow/core/platform:stringpiece",
"//tensorflow/core/platform:stringprintf",
"//third_party/eigen3",
"@com_google_absl//absl/strings",
"@com_google_absl//absl/synchronization",
"@com_google_absl//absl/types:optional",
"@zlib",
],
)
tf_cc_test(
name = "lib_random_random_distributions_test",
srcs = ["//tensorflow/core/lib/random:legacy_lib_random_random_distributions_test"],
tags = ["optonly"],
deps = [
":lib",
":lib_internal",
":lib_test_internal",
":protos_all_cc",
":test",
":test_main",
"//third_party/eigen3",
],
)
tf_cc_test(
name = "lib_strings_ordered_code_test",
srcs = ["//tensorflow/core/lib/strings:legacy_strings_ordered_code_test"],
extra_copts = ["$(STACK_FRAME_UNLIMITED)"], # Tests initialize large vectors
deps = [
":lib",
":lib_internal",
":test",
":test_main",
],
)
tf_cc_test(
name = "lib_strings_proto_serialization_test",
srcs = ["//tensorflow/core/lib/strings:legacy_strings_proto_serialization_test"],
deps = [
":lib",
":lib_internal",
":lib_test_internal",
":protos_all_cc",
":test",
":test_main",
"@com_google_absl//absl/memory",
],
)
tf_cc_test(
name = "lib_random_weighted_picker_test",
size = "medium",
srcs = ["//tensorflow/core/lib/random:legacy_lib_random_random_weighted_picker_test"],
deps = [
":lib",
":lib_internal",
":test",
":test_main",
],
)
tf_cc_tests(
name = "core_higher_level_tests",
size = "small",
srcs = [
"//tensorflow/core/example:feature_util_test.cc",
"//tensorflow/core/graph:algorithm_test.cc",
"//tensorflow/core/graph:control_flow_test.cc",
"//tensorflow/core/graph:costmodel_test.cc",
"//tensorflow/core/graph:edgeset_test.cc",
"//tensorflow/core/graph:graph_def_builder_test.cc",
"//tensorflow/core/graph:graph_partition_test.cc",
"//tensorflow/core/graph:graph_test.cc",
"//tensorflow/core/graph:node_builder_test.cc",
"//tensorflow/core/graph:optimizer_cse_test.cc",
"//tensorflow/core/graph:subgraph_test.cc",
"//tensorflow/core/graph:tensor_id_test.cc",
"//tensorflow/core/graph:validate_test.cc",
"//tensorflow/core/util/sparse:higher_level_tests_group",
],
linkopts = select({
"//tensorflow:macos": ["-headerpad_max_install_names"],
"//conditions:default": [],
}),
linkstatic = tf_kernel_tests_linkstatic(),
deps = [
":core",
":core_cpu",
":core_cpu_internal",
":direct_session_internal",
":framework",
":framework_internal",
":lib",
":lib_internal",
":ops",
":protos_all_cc",
":test",
":test_main",
":testlib",
"//tensorflow/cc:cc_ops",
"//tensorflow/cc:cc_ops_internal",
"//tensorflow/cc:function_ops",
"//tensorflow/cc:ops",
"//tensorflow/cc:scope",
"//tensorflow/cc:sendrecv_ops",
"//tensorflow/cc:while_loop",
"//tensorflow/core/kernels:ops_util",
"//tensorflow/core/platform:regexp",
"//tensorflow/core/util:protos_test_cc",
"//third_party/eigen3",
"@com_google_absl//absl/base",
"@com_google_absl//absl/memory",
"@com_google_absl//absl/strings",
],
)
tf_cc_test_mkl(
name = "mkl_related_tests",
size = "small",
srcs = [
"//tensorflow/core/util:mkl_util_test_srcs",
],
linkstatic = 1,
deps = [
":core",
":core_cpu",
":core_cpu_internal",
":direct_session_internal",
":framework",
":framework_internal",
":lib",
":lib_internal",
":ops",
":protos_all_cc",
":test",
":test_main",
":testlib",
"//tensorflow/cc:cc_ops",
"//tensorflow/cc:scope",
"//tensorflow/cc:sendrecv_ops",
"//tensorflow/core/kernels:ops_util",
"//third_party/eigen3",
] + if_mkl([
"//tensorflow/core/kernels/mkl:mkl_aggregate_ops",
"//tensorflow/core/kernels/mkl:mkl_batch_matmul_op",
"//tensorflow/core/kernels/mkl:mkl_einsum_op",
"//tensorflow/core/kernels/mkl:mkl_concat_op",
"//tensorflow/core/kernels/mkl:mkl_conv_op",
"//tensorflow/core/kernels/mkl:mkl_cwise_ops_common",
"//tensorflow/core/kernels/mkl:mkl_dequantize_op",
"//tensorflow/core/kernels/mkl:mkl_fused_batch_norm_op",
"//tensorflow/core/kernels/mkl:mkl_identity_op",
"//tensorflow/core/kernels/mkl:mkl_input_conversion_op",
"//tensorflow/core/kernels/mkl:mkl_lrn_op",
"//tensorflow/core/kernels/mkl:mkl_matmul_op",
"//tensorflow/core/kernels/mkl:mkl_pooling_ops",
"//tensorflow/core/kernels/mkl:mkl_qmatmul_op",
"//tensorflow/core/kernels/mkl:mkl_quantize_op",
"//tensorflow/core/kernels/mkl:mkl_relu_op",
"//tensorflow/core/kernels/mkl:mkl_reshape_op",
"//tensorflow/core/kernels/mkl:mkl_slice_op",
"//tensorflow/core/kernels/mkl:mkl_softmax_op",
"//tensorflow/core/kernels/mkl:mkl_tfconv_op",
"//tensorflow/core/kernels/mkl:mkl_transpose_op",
"//tensorflow/core/kernels/mkl:mkl_tmp_bf16_ops",
]),
)
# Test data
filegroup(
name = "image_testdata",
srcs = [
# PNG data
"//tensorflow/core/lib/png:testdata",
"//tensorflow/core/lib/ssim:testdata",
"//tensorflow/core/lib/psnr:testdata",
# JPEG data
"//tensorflow/core/lib/jpeg/testdata",
# GIF data
"//tensorflow/core/lib/gif/testdata:gif_testdata",
# BMP data
"//tensorflow/core/lib/bmp:bmp_testdata",
],
visibility = ["//visibility:public"],
)
transitive_hdrs(
name = "headers",
visibility = ["//tensorflow:__subpackages__"],
deps = [
":core",
":framework",
":lib",
":protos_all_cc",
"//tensorflow/core/platform:platform_strings",
"//tensorflow/core/platform:stream_executor",
],
)
# copybara:uncomment_begin(google-only)
# py_proto_library(
# name = "protos_all_py_pb2",
# has_services = 0,
# api_version = 2,
# visibility = ["//visibility:public"],
# deps = [":protos_all"],
# )
#
# alias(
# name = "worker_service_cc_grpc_proto",
# actual = "//tensorflow/core/protobuf:worker_service_cc_grpc_proto",
# visibility = ["//tensorflow:internal"],
# )
#
# alias(
# name = "master_service_cc_grpc_proto",
# actual = "//tensorflow/core/protobuf:master_service_cc_grpc_proto",
# visibility = ["//tensorflow:internal"],
# )
#
# go_library(
# name = "protos_all_go_proto",
# srcs = ["protos_all_go_proto.go"],
# visibility = ["//visibility:public"],
# deps = [
# "//tensorflow/core/example:example_parser_configuration_go_proto",
# "//tensorflow/core/example:example_protos_go_proto",
# "//tensorflow/core/protobuf:for_core_protos_go_proto",
# "//tensorflow/core/util:event_go_proto",
# "//tensorflow/core/util:memmapped_file_system_go_proto",
# "//tensorflow/core/util:saved_tensor_slice_go_proto",
# ],
# )
# copybara:uncomment_end