deep-learning-with-pytorch/p3ch15/CMakeLists.txt

cmake_minimum_required(VERSION 3.0 FATAL_ERROR)
project(cyclegan-jit)

find_package(Torch REQUIRED)

# Explicitly dealing with OpenMP seems to be needed with some C++
# nightlies in March 2020. Probably a bug.
find_package(OpenMP)
if(OPENMP_FOUND)
    set(CMAKE_C_FLAGS "${CMAKE_C_FLAGS} ${OpenMP_C_FLAGS}")
    set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} ${OpenMP_CXX_FLAGS}")
endif()

set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} ${TORCH_CXX_FLAGS}")

add_executable(cyclegan-jit cyclegan_jit.cpp)
target_link_libraries(cyclegan-jit pthread jpeg X11)
target_link_libraries(cyclegan-jit "${TORCH_LIBRARIES}")
set_property(TARGET cyclegan-jit PROPERTY CXX_STANDARD 14)

add_executable(cyclegan-cpp-api cyclegan_cpp_api.cpp)
target_link_libraries(cyclegan-cpp-api pthread jpeg X11)
target_link_libraries(cyclegan-cpp-api "${TORCH_LIBRARIES}")
set_property(TARGET cyclegan-cpp-api PROPERTY CXX_STANDARD 14)

# The following code block is suggested to be used on Windows.
# According to https://github.com/pytorch/pytorch/issues/25457,
# the DLLs need to be copied to avoid memory errors.
if (MSVC)
  file(GLOB TORCH_DLLS "${TORCH_INSTALL_PREFIX}/lib/*.dll")
  add_custom_command(TARGET cyclegan-jit
                     POST_BUILD
                     COMMAND ${CMAKE_COMMAND} -E copy_if_different
                     ${TORCH_DLLS}
                     $<TARGET_FILE_DIR:example-app>)
endif (MSVC)