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# Copyright 2017 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# ==============================================================================
if(WIN32)
# Windows: build a static library with the same objects as tensorflow.dll.
# This can be used to build for a standalone exe and also helps us to
# find all symbols that need to be exported from the dll which is needed
# to provide the tensorflow c/c++ api in tensorflow.dll.
# From the static library we create the def file with all symbols that need to
# be exported from tensorflow.dll. Because there is a limit of 64K sybmols
# that can be exported, we filter the symbols with a python script to the namespaces
# we need.
#
add_library(tensorflow_static STATIC
$<TARGET_OBJECTS:tf_c>
$<TARGET_OBJECTS:tf_cc>
$<TARGET_OBJECTS:tf_cc_framework>
$<TARGET_OBJECTS:tf_cc_ops>
$<TARGET_OBJECTS:tf_core_lib>
$<TARGET_OBJECTS:tf_core_cpu>
$<TARGET_OBJECTS:tf_core_framework>
$<TARGET_OBJECTS:tf_core_ops>
$<TARGET_OBJECTS:tf_core_direct_session>
$<TARGET_OBJECTS:tf_tools_transform_graph_lib>
$<$<BOOL:${tensorflow_ENABLE_GRPC_SUPPORT}>:$<TARGET_OBJECTS:tf_core_distributed_runtime>>
$<TARGET_OBJECTS:tf_core_kernels>
$<$<BOOL:${tensorflow_ENABLE_GPU}>:$<TARGET_OBJECTS:tf_core_kernels_cpu_only>>
$<$<BOOL:${tensorflow_ENABLE_GPU}>:$<TARGET_OBJECTS:tf_stream_executor>>
)
add_dependencies(tensorflow_static tf_protos_cc)
set(tensorflow_static_dependencies
$<TARGET_FILE:tensorflow_static>
$<TARGET_FILE:tf_protos_cc>
)
set(tensorflow_deffile "${CMAKE_CURRENT_BINARY_DIR}/${CMAKE_BUILD_TYPE}/tensorflow.def")
set_source_files_properties(${tensorflow_deffile} PROPERTIES GENERATED TRUE)
add_custom_command(TARGET tensorflow_static POST_BUILD
COMMAND ${PYTHON_EXECUTABLE} ${CMAKE_CURRENT_SOURCE_DIR}/tools/create_def_file.py
--input "${tensorflow_static_dependencies}"
--output "${tensorflow_deffile}"
--target tensorflow.dll
)
endif(WIN32)
# tensorflow is a shared library containing all of the
# TensorFlow runtime and the standard ops and kernels.
add_library(tensorflow SHARED
$<TARGET_OBJECTS:tf_c>
$<TARGET_OBJECTS:tf_cc>
$<TARGET_OBJECTS:tf_cc_framework>
$<TARGET_OBJECTS:tf_cc_ops>
$<TARGET_OBJECTS:tf_core_lib>
$<TARGET_OBJECTS:tf_core_cpu>
$<TARGET_OBJECTS:tf_core_framework>
$<TARGET_OBJECTS:tf_core_ops>
$<TARGET_OBJECTS:tf_core_direct_session>
$<TARGET_OBJECTS:tf_tools_transform_graph_lib>
$<$<BOOL:${tensorflow_ENABLE_GRPC_SUPPORT}>:$<TARGET_OBJECTS:tf_core_distributed_runtime>>
$<TARGET_OBJECTS:tf_core_kernels>
$<$<BOOL:${tensorflow_ENABLE_GPU}>:$<TARGET_OBJECTS:tf_core_kernels_cpu_only>>
$<$<BOOL:${tensorflow_ENABLE_GPU}>:$<TARGET_OBJECTS:tf_stream_executor>>
${tensorflow_deffile}
)
target_link_libraries(tensorflow PRIVATE
${tf_core_gpu_kernels_lib}
${tensorflow_EXTERNAL_LIBRARIES}
tf_protos_cc
)
# There is a bug in GCC 5 resulting in undefined reference to a __cpu_model function when
# linking to the tensorflow library. Adding the following libraries fixes it.
# See issue on github: https://github.com/tensorflow/tensorflow/issues/9593
if(CMAKE_COMPILER_IS_GNUCC AND CMAKE_CXX_COMPILER_VERSION VERSION_GREATER 5.0)
target_link_libraries(tensorflow PRIVATE gcc_s gcc)
endif()
if(WIN32)
add_dependencies(tensorflow tensorflow_static)
endif(WIN32)
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