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+cmake_minimum_required(VERSION 3.8)
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+project (CudaOnlyExportPTX CUDA)
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+
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+#Goal for this example:
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+# How to generate PTX files instead of OBJECT files
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+# How to reference PTX files for custom commands
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+# How to install PTX files
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+
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+add_library(CudaPTX OBJECT kernelA.cu kernelB.cu)
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+set_property(TARGET CudaPTX PROPERTY CUDA_PTX_COMPILATION ON)
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+
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+#Test ObjectFiles with file(GENERATE)
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+file(GENERATE
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+ OUTPUT ${CMAKE_CURRENT_BINARY_DIR}/gen_$<LOWER_CASE:$<CONFIG>/>path_to_objs.h
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+ CONTENT [[
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+
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+#include <vector>
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+#include <string>
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+
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+#ifndef path_to_objs
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+#define path_to_objs
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+
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+static std::string ptx_paths = "$<TARGET_OBJECTS:CudaPTX>";
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+
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+#endif
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+
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+]]
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+)
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+#We are going to need a wrapper around bin2c for multiple reasons
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+# 1. bin2c only converts a single file at a time
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+# 2. bin2c has only standard out support, so we have to manually
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+# redirect to a cmake buffer
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+# 3. We want to pack everything into a single output file, so we
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+# need to also pass the --name option
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+set(output_file ${CMAKE_CURRENT_BINARY_DIR}/embedded_objs.h)
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+
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+get_filename_component(cuda_compiler_bin "${CMAKE_CUDA_COMPILER}" DIRECTORY)
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+find_program(bin_to_c
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+ NAMES bin2c
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+ PATHS ${cuda_compiler_bin}
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+ )
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+if(NOT bin_to_c)
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+ message(FATAL_ERROR
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+ "bin2c not found:\n"
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+ " CMAKE_CUDA_COMPILER='${CMAKE_CUDA_COMPILER}'\n"
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+ " cuda_compiler_bin='${cuda_compiler_bin}'\n"
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+ )
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+endif()
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+
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+add_custom_command(
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+ OUTPUT "${output_file}"
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+ COMMAND ${CMAKE_COMMAND}
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+ "-DBIN_TO_C_COMMAND=${bin_to_c}"
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+ "-DOBJECTS=$<TARGET_OBJECTS:CudaPTX>"
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+ "-DOUTPUT=${output_file}"
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+ -P ${CMAKE_CURRENT_SOURCE_DIR}/bin2c_wrapper.cmake
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+ VERBATIM
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+ DEPENDS $<TARGET_OBJECTS:CudaPTX>
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+ COMMENT "Converting Object files to a C header"
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+ )
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+
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+add_executable(CudaOnlyExportPTX main.cu ${output_file})
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+add_dependencies(CudaOnlyExportPTX CudaPTX)
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+target_include_directories(CudaOnlyExportPTX PRIVATE
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+ ${CMAKE_CURRENT_BINARY_DIR} )
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+target_compile_definitions(CudaOnlyExportPTX PRIVATE
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+ "CONFIG_TYPE=gen_$<LOWER_CASE:$<CONFIG>>")
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+
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+if(APPLE)
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+ # We need to add the default path to the driver (libcuda.dylib) as an rpath, so that
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+ # the static cuda runtime can find it at runtime.
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+ target_link_libraries(CudaOnlyExportPTX PRIVATE -Wl,-rpath,/usr/local/cuda/lib)
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+endif()
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+
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+#Verify that we can install object targets properly
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+install(TARGETS CudaPTX CudaOnlyExportPTX
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+ EXPORT cudaPTX
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+ RUNTIME DESTINATION bin
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+ LIBRARY DESTINATION lib
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+ OBJECTS DESTINATION objs
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+ )
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+install(EXPORT cudaPTX DESTINATION lib/cudaPTX)
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