Fix build when nvtools is missing (#3698)
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@ -70,10 +70,11 @@ find_package(Torch REQUIRED)
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# config is used for standalone C++ binaries that link against torch).
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# config is used for standalone C++ binaries that link against torch).
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# The `libtorch_python.so` library defines some of the glue code between
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# The `libtorch_python.so` library defines some of the glue code between
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# torch/python via pybind and is required by VLLM extensions for this
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# torch/python via pybind and is required by VLLM extensions for this
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# reason. So, add it by manually using `append_torchlib_if_found` from
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# reason. So, add it by manually with `find_library` using torch's
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# torch's cmake setup.
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# installed library path.
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#
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#
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append_torchlib_if_found(torch_python)
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find_library(torch_python_LIBRARY torch_python PATHS
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"${TORCH_INSTALL_PREFIX}/lib")
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#
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#
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# Set up GPU language and check the torch version and warn if it isn't
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# Set up GPU language and check the torch version and warn if it isn't
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@ -281,7 +281,7 @@ endmacro()
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# not provided.
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# not provided.
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# COMPILE_FLAGS <flags> - Extra compiler flags passed to NVCC/hip.
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# COMPILE_FLAGS <flags> - Extra compiler flags passed to NVCC/hip.
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# INCLUDE_DIRECTORIES <dirs> - Extra include directories.
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# INCLUDE_DIRECTORIES <dirs> - Extra include directories.
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# LINK_LIBRARIES <libraries> - Extra link libraries.
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# LIBRARIES <libraries> - Extra link libraries.
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# WITH_SOABI - Generate library with python SOABI suffix name.
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# WITH_SOABI - Generate library with python SOABI suffix name.
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#
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#
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# Note: optimization level/debug info is set via cmake build type.
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# Note: optimization level/debug info is set via cmake build type.
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@ -327,8 +327,17 @@ function (define_gpu_extension_target GPU_MOD_NAME)
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target_include_directories(${GPU_MOD_NAME} PRIVATE csrc
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target_include_directories(${GPU_MOD_NAME} PRIVATE csrc
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${GPU_INCLUDE_DIRECTORIES})
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${GPU_INCLUDE_DIRECTORIES})
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target_link_libraries(${GPU_MOD_NAME} PRIVATE ${TORCH_LIBRARIES}
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target_link_libraries(${GPU_MOD_NAME} PRIVATE torch ${torch_python_LIBRARY}
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${GPU_LIBRARIES})
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${GPU_LIBRARIES})
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# Don't use `TORCH_LIBRARIES` for CUDA since it pulls in a bunch of
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# dependencies that are not necessary and may not be installed.
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if (GPU_LANGUAGE STREQUAL "CUDA")
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target_link_libraries(${GPU_MOD_NAME} PRIVATE ${CUDA_CUDA_LIB}
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${CUDA_LIBRARIES})
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else()
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target_link_libraries(${GPU_MOD_NAME} PRIVATE ${TORCH_LIBRARIES})
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endif()
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install(TARGETS ${GPU_MOD_NAME} LIBRARY DESTINATION ${GPU_DESTINATION})
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install(TARGETS ${GPU_MOD_NAME} LIBRARY DESTINATION ${GPU_DESTINATION})
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endfunction()
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endfunction()
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