76 lines
3.5 KiB
CMake
76 lines
3.5 KiB
CMake
cmake_minimum_required(VERSION 3.20)
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if (NOT DEFINED CMAKE_CXX_COMPILER_LAUNCHER AND CMAKE_BUILD_TYPE STREQUAL "Debug")
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find_program(CCACHE_EXECUTABLE "ccache")
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if (CCACHE_EXECUTABLE)
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message(STATUS "Using ccache")
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set(CMAKE_CXX_COMPILER_LAUNCHER "${CCACHE_EXECUTABLE}" CACHE PATH "Path to ccache" FORCE)
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endif ()
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endif ()
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if (CMAKE_VERSION VERSION_GREATER_EQUAL "3.24.0")
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cmake_policy(SET CMP0135 NEW)
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endif ()
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project(tgi-trtllm-backend VERSION 1.0.0)
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set(CMAKE_CXX_STANDARD 20)
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include(FetchContent)
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include(ExternalProject)
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option(TGI_TRTLLM_BACKEND_BUILD_TESTS "Enable building the unittests suite" OFF)
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option(TGI_TRTLLM_BACKEND_BUILD_EXAMPLES "Enable building the examples suite" OFF)
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set(TGI_TRTLLM_BACKEND_TARGET_CUDA_ARCH_LIST "89-real" CACHE STRING "List of CUDA architectures to support")
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set(TGI_TRTLLM_BACKEND_TRT_ROOT "/usr/local/tensorrt" CACHE STRING "Path where TensorRT libraries and headers are located")
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set(TGI_TRTLLM_BACKEND_TRT_INCLUDE_DIR "${TGI_TRTLLM_BACKEND_TRT_ROOT}/include" CACHE STRING "Path where TensorRT headers are located")
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set(TGI_TRTLLM_BACKEND_TRT_LIB_DIR "${TGI_TRTLLM_BACKEND_TRT_ROOT}/lib" CACHE STRING "Path where TensorRT libraries are located")
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# We are using nvidia-ml to query at runtime device information to enable some architecture-specific features
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find_package(CUDAToolkit 12.6 REQUIRED COMPONENTS CUDA::cudart CUDA::nvml)
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#### External dependencies ####
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include(cmake/fmt.cmake)
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include(cmake/json.cmake)
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include(cmake/spdlog.cmake)
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include(cmake/trtllm.cmake)
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# Let's build TRTLLM as part of CMake
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add_subdirectory("${trtllm_SOURCE_DIR}/cpp" "${trtllm_SOURCE_DIR}/..")
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# Tell CMake to need try to override the RPATH for executorWorker as it has not information on how to do so
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set_target_properties(executorWorker PROPERTIES SKIP_BUILD_RPATH TRUE)
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# TGI TRTLLM Backend definition
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add_library(tgi_trtllm_backend_impl STATIC include/backend.h lib/backend.cpp include/hardware.h)
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include_directories(${TGI_TRTLLM_BACKEND_TRT_INCLUDE_DIR})
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target_include_directories(tgi_trtllm_backend_impl PRIVATE
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$<BUILD_INTERFACE:${CMAKE_CURRENT_SOURCE_DIR}/include>
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$<INSTALL_INTERFACE:include>
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)
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target_include_directories(tgi_trtllm_backend_impl PUBLIC "${trtllm_SOURCE_DIR}/cpp/include")
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target_link_libraries(tgi_trtllm_backend_impl PRIVATE tensorrt_llm nvinfer_plugin_tensorrt_llm tensorrt_llm_nvrtc_wrapper CUDA::cudart CUDA::nvml)
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target_link_libraries(tgi_trtllm_backend_impl PUBLIC nlohmann_json::nlohmann_json spdlog::spdlog fmt::fmt)
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# This install all the artifacts in CMAKE_INSTALL_PREFIX under include/ lib/ bin/ to make easy to link / find it back
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install(TARGETS tgi_trtllm_backend_impl tensorrt_llm nvinfer_plugin_tensorrt_llm decoder_attention executorWorker)
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install(FILES ${TRTLLM_NVRTC_WRAPPER_LIBRARY_PATH} ${TRTLLM_EXECUTOR_STATIC_LIBRARY_PATH} TYPE LIB)
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#### Unit Tests ####
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if (${TGI_TRTLLM_BACKEND_BUILD_TESTS})
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message(STATUS "Building tests")
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FetchContent_Declare(
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Catch2
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GIT_REPOSITORY https://github.com/catchorg/Catch2
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GIT_TAG v3.6.0
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)
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FetchContent_MakeAvailable(Catch2)
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# add_executable(tgi_trtllm_backend_tests tests/infer_test.cpp)
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# target_link_libraries(tgi_trtllm_backend_tests PRIVATE tgi_trtllm_backend_impl Catch2::Catch2WithMain nlohmann_json::nlohmann_json spdlog::spdlog fmt::fmt CUDA::cudart CUDA::nvml)
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list(APPEND CMAKE_MODULE_PATH ${catch2_SOURCE_DIR}/extras)
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include(CTest)
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include(Catch)
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# catch_discover_tests(tgi_trtllm_backend_tests)
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endif ()
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