TensorRT-LLMs/cpp/CMakeLists.txt
tburt-nv c0dd6cbce0
infra: move nvrtc_wrapper to conan (#3282)
* add pip scripts dir to path
* move nvrtc_wrapper to conan
* support building nvrtc wrapper from source

---------

Signed-off-by: Tyler Burt <195370667+tburt-nv@users.noreply.github.com>
2025-04-15 05:31:01 +08:00

756 lines
26 KiB
CMake

#
# SPDX-FileCopyrightText: Copyright (c) 1993-2022 NVIDIA CORPORATION &
# AFFILIATES. All rights reserved. SPDX-License-Identifier: Apache-2.0
#
# 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.
#
cmake_minimum_required(VERSION 3.27 FATAL_ERROR)
set(CMAKE_EXPORT_COMPILE_COMMANDS ON)
include(CheckLanguage)
include(cmake/modules/set_ifndef.cmake)
include(cmake/modules/find_library_create_target.cmake)
include(cmake/modules/resolve_dirs.cmake)
include(cmake/modules/parse_make_options.cmake)
project(tensorrt_llm LANGUAGES CXX)
# Build options
option(BUILD_PYT "Build in PyTorch TorchScript class mode" ON)
option(BUILD_PYBIND "Build Python bindings for C++ runtime and batch manager"
ON)
option(BUILD_TESTS "Build Google tests" ON)
option(BUILD_BENCHMARKS "Build benchmarks" ON)
option(BUILD_MICRO_BENCHMARKS "Build C++ micro benchmarks" OFF)
option(NVTX_DISABLE "Disable all NVTX features" ON)
option(WARNING_IS_ERROR "Treat all warnings as errors" OFF)
option(FAST_BUILD "Skip compiling some kernels to accelerate compiling" OFF)
option(FAST_MATH "Compiling in fast math mode" OFF)
option(INDEX_RANGE_CHECK "Compiling with index range checks" OFF)
option(COMPRESS_FATBIN "Compress everything in fatbin" ON)
option(ENABLE_MULTI_DEVICE
"Enable building with multi device support (requires NCCL, MPI,...)" ON)
option(ENABLE_UCX "Enable building with UCX (Uniform Communication X) support"
ON)
# Always use static NVRTC for IP protection reasons.
set(USE_SHARED_NVRTC OFF)
if(NVTX_DISABLE)
add_compile_definitions("NVTX_DISABLE")
message(STATUS "NVTX is disabled")
else()
message(STATUS "NVTX is enabled")
endif()
if(EXISTS
"${CMAKE_CURRENT_SOURCE_DIR}/tensorrt_llm/kernels/decoderMaskedMultiheadAttention/decoderXQAImplJIT/nvrtcWrapper/CMakeLists.txt"
)
set(BUILD_NVRTC_WRAPPER_DEFAULT ON)
else()
set(BUILD_NVRTC_WRAPPER_DEFAULT OFF)
endif()
option(BUILD_NVRTC_WRAPPER "Build nvrtc wrapper from source"
${BUILD_NVRTC_WRAPPER_DEFAULT})
if(BUILD_NVRTC_WRAPPER)
message(STATUS "Building nvrtc wrapper")
else()
message(STATUS "Importing nvrtc wrapper")
endif()
if(EXISTS
"${CMAKE_CURRENT_SOURCE_DIR}/tensorrt_llm/kernels/internal_cutlass_kernels/CMakeLists.txt"
)
set(BUILD_INTERNAL_CUTLASS_KERNELS_DEFAULT ON)
else()
set(BUILD_INTERNAL_CUTLASS_KERNELS_DEFAULT OFF)
endif()
option(BUILD_INTERNAL_CUTLASS_KERNELS
"Build internal cutlass kernels from source"
${BUILD_INTERNAL_CUTLASS_KERNELS_DEFAULT})
if(BUILD_INTERNAL_CUTLASS_KERNELS)
message(STATUS "Building internal cutlass kernels")
else()
message(STATUS "Importing internal cutlass kernels")
endif()
if(BUILD_PYT)
message(STATUS "Building PyTorch")
else()
message(STATUS "Not building PyTorch")
endif()
if(BUILD_TESTS)
message(STATUS "Building Google tests")
else()
message(STATUS "Not building Google tests")
endif()
if(BUILD_BENCHMARKS)
message(STATUS "Building benchmarks")
else()
message(STATUS "Not building benchmarks")
endif()
if(BUILD_MICRO_BENCHMARKS)
message(STATUS "Building C++ micro benchmarks")
else()
message(STATUS "Not building C++ micro benchmarks")
endif()
if(FAST_BUILD)
add_compile_definitions("FAST_BUILD")
message(WARNING "Skip some kernels to accelerate compilation")
endif()
if(INDEX_RANGE_CHECK)
add_compile_definitions("INDEX_RANGE_CHECK")
message(WARNING "Check index range to detect OOB accesses")
endif()
# Read the project version
set(TRTLLM_VERSION_DIR ${PROJECT_SOURCE_DIR}/../tensorrt_llm)
set_directory_properties(PROPERTIES CMAKE_CONFIGURE_DEPENDS
${TRTLLM_VERSION_DIR}/version.py)
execute_process(
COMMAND python3 -c "import version; print(version.__version__)"
WORKING_DIRECTORY ${TRTLLM_VERSION_DIR}
OUTPUT_VARIABLE TRTLLM_VERSION
RESULT_VARIABLE TRTLLM_VERSION_RESULT
OUTPUT_STRIP_TRAILING_WHITESPACE)
if(TRTLLM_VERSION_RESULT EQUAL 0)
message(STATUS "TensorRT-LLM version: ${TRTLLM_VERSION}")
else()
message(FATAL_ERROR "Failed to determine Tensorrt-LLM version")
endif()
configure_file(
cmake/templates/version.h
${CMAKE_CURRENT_SOURCE_DIR}/include/tensorrt_llm/executor/version.h)
# Determine CUDA version before enabling the language extension
# check_language(CUDA) clears CMAKE_CUDA_HOST_COMPILER if CMAKE_CUDA_COMPILER is
# not set
if(NOT CMAKE_CUDA_COMPILER AND CMAKE_CUDA_HOST_COMPILER)
set(CMAKE_CUDA_HOST_COMPILER_BACKUP ${CMAKE_CUDA_HOST_COMPILER})
endif()
check_language(CUDA)
if(CMAKE_CUDA_HOST_COMPILER_BACKUP)
set(CMAKE_CUDA_HOST_COMPILER ${CMAKE_CUDA_HOST_COMPILER_BACKUP})
check_language(CUDA)
endif()
if(CMAKE_CUDA_COMPILER)
message(STATUS "CUDA compiler: ${CMAKE_CUDA_COMPILER}")
if(NOT WIN32) # Linux
execute_process(
COMMAND
"bash" "-c"
"${CMAKE_CUDA_COMPILER} --version | egrep -o 'V[0-9]+.[0-9]+.[0-9]+' | cut -c2-"
RESULT_VARIABLE _BASH_SUCCESS
OUTPUT_VARIABLE CMAKE_CUDA_COMPILER_VERSION
OUTPUT_STRIP_TRAILING_WHITESPACE)
if(NOT _BASH_SUCCESS EQUAL 0)
message(FATAL_ERROR "Failed to determine CUDA version")
endif()
else() # Windows
execute_process(
COMMAND ${CMAKE_CUDA_COMPILER} --version
OUTPUT_VARIABLE versionString
RESULT_VARIABLE versionResult)
if(versionResult EQUAL 0 AND versionString MATCHES
"V[0-9]+\\.[0-9]+\\.[0-9]+")
string(REGEX REPLACE "V" "" version ${CMAKE_MATCH_0})
set(CMAKE_CUDA_COMPILER_VERSION "${version}")
else()
message(FATAL_ERROR "Failed to determine CUDA version")
endif()
endif()
else()
message(FATAL_ERROR "No CUDA compiler found")
endif()
set(CUDA_REQUIRED_VERSION "11.2")
if(CMAKE_CUDA_COMPILER_VERSION VERSION_LESS CUDA_REQUIRED_VERSION)
message(
FATAL_ERROR
"CUDA version ${CMAKE_CUDA_COMPILER_VERSION} must be at least ${CUDA_REQUIRED_VERSION}"
)
endif()
# cmake-format: off
# Initialize and normalize CMAKE_CUDA_ARCHITECTURES before enabling CUDA.
# Special values:
# * `native` is resolved to HIGHEST available architecture.
# * Fallback to `all` if detection failed.
# * `all`/unset is resolved to a set of architectures we optimized for and compiler supports.
# * `all-major` is unsupported.
# Numerical architectures:
# * PTX is never included in result binary.
# * `*-virtual` architectures are therefore rejected.
# * `-real` suffix is automatically added to exclude PTX.
# * Always use accelerated (`-a` suffix) target for supported architectures.
# cmake-format: on
if(CMAKE_CUDA_ARCHITECTURES STREQUAL "native")
# Detect highest available compute capability
set(OUTPUTFILE ${PROJECT_BINARY_DIR}/detect_cuda_arch)
set(CUDAFILE ${CMAKE_SOURCE_DIR}/cmake/utils/detect_cuda_arch.cu)
execute_process(COMMAND ${CMAKE_CUDA_COMPILER} -lcuda ${CUDAFILE} -o
${OUTPUTFILE})
message(VERBOSE "Detecting native CUDA compute capability")
execute_process(
COMMAND ${OUTPUTFILE}
RESULT_VARIABLE CUDA_RETURN_CODE
OUTPUT_VARIABLE CUDA_ARCH_OUTPUT)
if(NOT ${CUDA_RETURN_CODE} EQUAL 0)
message(WARNING "Detecting native CUDA compute capability - fail")
message(
WARNING
"CUDA compute capability detection failed, compiling for all optimized architectures"
)
unset(CMAKE_CUDA_ARCHITECTURES)
else()
message(STATUS "Detecting native CUDA compute capability - done")
set(CMAKE_CUDA_ARCHITECTURES "${CUDA_ARCH_OUTPUT}")
endif()
elseif(CMAKE_CUDA_ARCHITECTURES STREQUAL "all")
unset(CMAKE_CUDA_ARCHITECTURES)
message(
STATUS
"Setting CMAKE_CUDA_ARCHITECTURES to all enables all architectures TensorRT-LLM optimized for, "
"not all architectures CUDA compiler supports.")
elseif(CMAKE_CUDA_ARCHITECTURES STREQUAL "all-major")
message(
FATAL_ERROR
"Setting CMAKE_CUDA_ARCHITECTURES to all-major does not make sense for TensorRT-LLM. "
"Please enable all architectures you intend to run on, so we can enable optimized kernels for them."
)
else()
unset(CMAKE_CUDA_ARCHITECTURES_CLEAN)
foreach(CUDA_ARCH IN LISTS CMAKE_CUDA_ARCHITECTURES)
if(CUDA_ARCH MATCHES "^([1-9])([0-9])+a?-virtual$")
message(FATAL_ERROR "Including PTX in compiled binary is unsupported.")
elseif(CUDA_ARCH MATCHES "^(([1-9])([0-9])+)a?(-real)?$")
list(APPEND CMAKE_CUDA_ARCHITECTURES_CLEAN ${CMAKE_MATCH_1})
else()
message(FATAL_ERROR "Unrecognized CUDA architecture: ${CUDA_ARCH}")
endif()
endforeach()
list(REMOVE_DUPLICATES CMAKE_CUDA_ARCHITECTURES_CLEAN)
set(CMAKE_CUDA_ARCHITECTURES ${CMAKE_CUDA_ARCHITECTURES_CLEAN})
endif()
if(NOT DEFINED CMAKE_CUDA_ARCHITECTURES)
set(CMAKE_CUDA_ARCHITECTURES "80" "86")
if(CMAKE_CUDA_COMPILER_VERSION VERSION_GREATER_EQUAL "11.8")
list(APPEND CMAKE_CUDA_ARCHITECTURES "89" "90")
endif()
if(CMAKE_CUDA_COMPILER_VERSION VERSION_GREATER_EQUAL "12.7")
list(APPEND CMAKE_CUDA_ARCHITECTURES "100" "120")
endif()
endif()
# CMAKE_CUDA_ARCHITECTURES_ORIG contains all architectures enabled, without
# automatically added -real or -a suffix.
set(CMAKE_CUDA_ARCHITECTURES_ORIG "${CMAKE_CUDA_ARCHITECTURES}")
message(STATUS "GPU architectures: ${CMAKE_CUDA_ARCHITECTURES_ORIG}")
set(ARCHITECTURES_WITH_KERNELS "80" "86" "89" "90" "100" "120")
foreach(CUDA_ARCH IN LISTS ARCHITECTURES_WITH_KERNELS)
if(NOT "${CUDA_ARCH}" IN_LIST CMAKE_CUDA_ARCHITECTURES_ORIG)
add_definitions("-DEXCLUDE_SM_${CUDA_ARCH}")
message(STATUS "Excluding SM ${CUDA_ARCH}")
endif()
endforeach()
set(ARCHITECTURES_WITH_ACCEL "90" "100" "101" "120")
unset(CMAKE_CUDA_ARCHITECTURES_NORMALIZED)
foreach(CUDA_ARCH IN LISTS CMAKE_CUDA_ARCHITECTURES)
if("${CUDA_ARCH}" IN_LIST ARCHITECTURES_WITH_ACCEL)
list(APPEND CMAKE_CUDA_ARCHITECTURES_NORMALIZED "${CUDA_ARCH}a-real")
else()
list(APPEND CMAKE_CUDA_ARCHITECTURES_NORMALIZED "${CUDA_ARCH}-real")
endif()
endforeach()
set(CMAKE_CUDA_ARCHITECTURES ${CMAKE_CUDA_ARCHITECTURES_NORMALIZED})
enable_language(C CXX CUDA)
find_package(CUDAToolkit REQUIRED)
resolve_dirs(CUDAToolkit_INCLUDE_DIRS "${CUDAToolkit_INCLUDE_DIRS}")
message(STATUS "CUDA library status:")
message(STATUS " version: ${CUDAToolkit_VERSION}")
message(STATUS " libraries: ${CUDAToolkit_LIBRARY_DIR}")
message(STATUS " include path: ${CUDAToolkit_INCLUDE_DIRS}")
# Prevent CMake from creating a response file for CUDA compiler, so clangd can
# pick up on the includes
set(CMAKE_CUDA_USE_RESPONSE_FILE_FOR_INCLUDES 0)
if(USE_SHARED_NVRTC)
if(WIN32)
message(FATAL_ERROR "Cannot use NVRTC shared library on Windows.")
else()
find_library(
NVRTC_LIB nvrtc
HINTS ${CUDAToolkit_LIBRARY_DIR}
PATH_SUFFIXES lib64 lib lib/x64)
find_library(
NVRTC_BUILTINS_LIB nvrtc-builtins
HINTS ${CUDAToolkit_LIBRARY_DIR}
PATH_SUFFIXES lib64 lib lib/x64)
endif()
else()
if(WIN32)
find_library(
NVRTC_LIB nvrtc
HINTS ${CUDAToolkit_LIBRARY_DIR}
PATH_SUFFIXES lib64 lib lib/x64)
else()
find_library(
NVRTC_LIB nvrtc_static
HINTS ${CUDAToolkit_LIBRARY_DIR}
PATH_SUFFIXES lib64 lib lib/x64)
find_library(
NVRTC_BUILTINS_LIB nvrtc-builtins_static
HINTS ${CUDAToolkit_LIBRARY_DIR}
PATH_SUFFIXES lib64 lib lib/x64)
find_library(
NVPTXCOMPILER_LIB nvptxcompiler_static
HINTS ${CUDAToolkit_LIBRARY_DIR}
PATH_SUFFIXES lib64 lib lib/x64)
endif()
endif()
set(CUBLAS_LIB CUDA::cublas)
set(CUBLASLT_LIB CUDA::cublasLt)
set(CUDA_DRV_LIB CUDA::cuda_driver)
set(CUDA_NVML_LIB CUDA::nvml)
set(CUDA_RT_LIB CUDA::cudart_static)
set(CMAKE_CUDA_RUNTIME_LIBRARY Static)
find_library(RT_LIB rt)
if(ENABLE_MULTI_DEVICE)
# NCCL dependencies
set_ifndef(NCCL_LIB_DIR /usr/lib/${CMAKE_SYSTEM_PROCESSOR}-linux-gnu/)
set_ifndef(NCCL_INCLUDE_DIR /usr/include/)
find_library(NCCL_LIB nccl HINTS ${NCCL_LIB_DIR})
endif()
find_package(tensorrt_llm_nvrtc_wrapper REQUIRED)
get_filename_component(TRT_LLM_ROOT_DIR ${CMAKE_CURRENT_SOURCE_DIR} PATH)
set(3RDPARTY_DIR ${TRT_LLM_ROOT_DIR}/3rdparty)
add_subdirectory(${3RDPARTY_DIR}/pybind11 ${CMAKE_CURRENT_BINARY_DIR}/pybind11)
# include as system to suppress warnings
include_directories(
SYSTEM
${CUDAToolkit_INCLUDE_DIRS}
${CUDNN_ROOT_DIR}/include
${NCCL_INCLUDE_DIR}
${tensorrt_llm_nvrtc_wrapper_INCLUDE_DIRS}
${3RDPARTY_DIR}/cutlass/include
${3RDPARTY_DIR}/cutlass/tools/util/include
${3RDPARTY_DIR}/NVTX/include
${3RDPARTY_DIR}/json/include
${3RDPARTY_DIR}/pybind11/include)
# TRT dependencies
set_ifndef(TRT_LIB_DIR ${CMAKE_BINARY_DIR})
set_ifndef(TRT_INCLUDE_DIR /usr/include/${CMAKE_SYSTEM_PROCESSOR}-linux-gnu)
set(TRT_LIB nvinfer)
# On Windows major version is appended to nvinfer libs.
if(WIN32)
set(TRT_LIB_NAME nvinfer_10)
else()
set(TRT_LIB_NAME nvinfer)
endif()
find_library_create_target(${TRT_LIB} ${TRT_LIB_NAME} SHARED ${TRT_LIB_DIR})
if(${CUDAToolkit_VERSION} VERSION_GREATER_EQUAL "11")
add_definitions("-DENABLE_BF16")
message(
STATUS
"CUDAToolkit_VERSION ${CUDAToolkit_VERSION_MAJOR}.${CUDAToolkit_VERSION_MINOR} is greater or equal than 11.0, enable -DENABLE_BF16 flag"
)
endif()
if(${CUDAToolkit_VERSION} VERSION_GREATER_EQUAL "11.8")
add_definitions("-DENABLE_FP8")
message(
STATUS
"CUDAToolkit_VERSION ${CUDAToolkit_VERSION_MAJOR}.${CUDAToolkit_VERSION_MINOR} is greater or equal than 11.8, enable -DENABLE_FP8 flag"
)
endif()
if(${CUDAToolkit_VERSION} VERSION_GREATER_EQUAL "12.8")
add_definitions("-DENABLE_FP4")
message(
STATUS
"CUDAToolkit_VERSION ${CUDAToolkit_VERSION_MAJOR}.${CUDAToolkit_VERSION_MINOR} is greater or equal than 12.8, enable -DENABLE_FP4 flag"
)
endif()
if(ENABLE_MULTI_DEVICE)
# MPI MPI isn't used until tensorrt_llm/CMakeLists.txt is invoked. However, if
# it's not called before "CMAKE_CXX_FLAGS" is set, it breaks on Windows for
# some reason, so we just call it here as a workaround.
find_package(MPI REQUIRED)
add_definitions("-DOMPI_SKIP_MPICXX")
endif()
# C++17
set(CMAKE_CXX_STANDARD 17)
set(CMAKE_CXX_STANDARD_REQUIRED ON)
set(CMAKE_CXX_EXTENSIONS OFF)
set(CMAKE_CUDA_STANDARD ${CMAKE_CXX_STANDARD})
if(UNIX)
set(CMAKE_CXX_FLAGS_DEBUG "${CMAKE_CXX_FLAGS_DEBUG} -g -O0 -fno-inline")
endif()
# Note: The following are desirable settings that should be enabled if we
# decrease shared library size. See e.g.
# https://github.com/rapidsai/cudf/pull/6134 for a similar issue in another
# project.
# set(CMAKE_CUDA_FLAGS_RELWITHDEBINFO "${CMAKE_CUDA_FLAGS_RELWITHDEBINFO}
# --generate-line-info")
# set(CMAKE_CUDA_FLAGS_DEBUG "${CMAKE_CUDA_FLAGS_DEBUG} -G")
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -DBUILD_SYSTEM=cmake_oss ")
# note: cmake expr generation $<BOOL:${ENABLE_MULTI_DEVICE}> is a build time
# evaluation so hard to debug at cmake time
if(ENABLE_MULTI_DEVICE)
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -DENABLE_MULTI_DEVICE=1")
else()
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -DENABLE_MULTI_DEVICE=0")
endif()
# Fix linking issue with TRT 10, the detailed description about `--mcmodel` can
# be found in
# https://gcc.gnu.org/onlinedocs/gcc/x86-Options.html#index-mcmodel_003dmedium-1
if(CMAKE_SYSTEM_PROCESSOR STREQUAL x86_64)
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -mcmodel=medium")
set(CMAKE_SHARED_LINKER_FLAGS "${CMAKE_SHARED_LINKER_FLAGS} -Wl,--no-relax")
set(CMAKE_EXE_LINKER_FLAGS "${CMAKE_EXE_LINKER_FLAGS} -Wl,--no-relax")
endif()
# Disable deprecated declarations warnings
if(NOT WIN32)
set(CMAKE_CXX_FLAGS "-Wno-deprecated-declarations ${CMAKE_CXX_FLAGS}")
else()
# /wd4996 is the Windows equivalent to turn off warnings for deprecated
# declarations
# /wd4505
# https://learn.microsoft.com/en-us/cpp/overview/cpp-conformance-improvements-2019?view=msvc-170#warning-for-unused-internal-linkage-functions
# "warning C4505: <>: unreferenced function with internal linkage has been
# removed"
# /wd4100
# https://learn.microsoft.com/en-us/cpp/error-messages/compiler-warnings/compiler-warning-level-4-c4100?view=msvc-170
# warning C4100: 'c': unreferenced formal parameter
set(CMAKE_CXX_FLAGS "/wd4996 /wd4505 /wd4100 ${CMAKE_CXX_FLAGS}")
endif()
# A Windows header file defines max() and min() macros, which break our macro
# declarations.
if(WIN32)
set(CMAKE_CXX_FLAGS "/DNOMINMAX ${CMAKE_CXX_FLAGS}")
endif()
if((WIN32))
if((MSVC_VERSION GREATER_EQUAL 1914))
# MSVC does not apply the correct __cplusplus version per the C++ standard
# by default. This is required for compiling CUTLASS 3.0 kernels on windows
# with C++-17 constexpr enabled. The 2017 15.7 MSVC adds /Zc:__cplusplus to
# set __cplusplus to 201703 with std=c++17. See
# https://learn.microsoft.com/en-us/cpp/build/reference/zc-cplusplus for
# more info.
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} /Zc:__cplusplus")
set(CMAKE_CUDA_FLAGS "${CMAKE_CUDA_FLAGS} -Xcompiler /Zc:__cplusplus")
else()
message(
FATAL_ERROR
"Build is only supported with Visual Studio 2017 version 15.7 or higher"
)
endif()
endif()
if(SANITIZE)
if(WIN32)
message(FATAL_ERROR "Sanitizing support is unimplemented on Windows.")
endif()
macro(add_clang_rt_lib lib_name)
if(CMAKE_CXX_COMPILER_ID MATCHES "Clang")
execute_process(
COMMAND
${CMAKE_CXX_COMPILER}
"-print-file-name=libclang_rt.${lib_name}-${CMAKE_SYSTEM_PROCESSOR}.so"
OUTPUT_VARIABLE CLANG_SAN_LIBRARY_PATH OUTPUT_STRIP_TRAILING_WHITESPACE)
link_libraries(${CLANG_SAN_LIBRARY_PATH})
endif()
endmacro()
string(TOLOWER ${SANITIZE} SANITIZE)
if("undefined" IN_LIST SANITIZE)
message(STATUS "Enabling extra sub-sanitizers for UBSan")
list(APPEND SANITIZE "float-divide-by-zero")
if(CMAKE_CXX_COMPILER_ID MATCHES "Clang")
list(APPEND SANITIZE "unsigned-integer-overflow" "implicit-conversion"
"local-bounds")
endif()
add_clang_rt_lib("ubsan_standalone")
add_compile_definitions("SANITIZE_UNDEFINED")
endif()
if("address" IN_LIST SANITIZE)
message(STATUS "Enabling extra sub-sanitizers for ASan")
list(APPEND SANITIZE "pointer-compare" "pointer-subtract")
add_compile_options("-fno-omit-frame-pointer;-fno-optimize-sibling-calls")
if(CMAKE_CXX_COMPILER_ID MATCHES "Clang")
add_compile_options("-fsanitize-address-use-after-return=always")
add_link_options("-fsanitize-address-use-after-return=always")
endif()
add_clang_rt_lib("asan")
endif()
if("thread" IN_LIST SANITIZE)
add_compile_options("-ftls-model=local-dynamic")
add_clang_rt_lib("tsan")
endif()
list(REMOVE_DUPLICATES SANITIZE)
message(STATUS "Enabled sanitizers: ${SANITIZE}")
foreach(SANITIZER IN LISTS SANITIZE)
add_compile_options("-fsanitize=${SANITIZER}")
add_link_options("-fsanitize=${SANITIZER}")
endforeach()
endif()
set(CMAKE_CUDA_FLAGS "${CMAKE_CUDA_FLAGS} --expt-extended-lambda")
set(CMAKE_CUDA_FLAGS "${CMAKE_CUDA_FLAGS} --expt-relaxed-constexpr")
if(FAST_MATH)
set(CMAKE_CUDA_FLAGS "${CMAKE_CUDA_FLAGS} --use_fast_math")
endif()
if(COMPRESS_FATBIN)
set(CMAKE_CUDA_FLAGS "${CMAKE_CUDA_FLAGS} --fatbin-options -compress-all")
endif()
message("CMAKE_CUDA_FLAGS: ${CMAKE_CUDA_FLAGS}")
set(COMMON_HEADER_DIRS ${PROJECT_SOURCE_DIR} ${CUDAToolkit_INCLUDE_DIR})
message(STATUS "COMMON_HEADER_DIRS: ${COMMON_HEADER_DIRS}")
if(NOT WIN32 AND NOT DEFINED USE_CXX11_ABI)
find_package(Python3 COMPONENTS Interpreter Development REQUIRED)
execute_process(
COMMAND ${Python3_EXECUTABLE} "-c"
"import torch; print(torch.compiled_with_cxx11_abi(),end='');"
RESULT_VARIABLE _PYTHON_SUCCESS
OUTPUT_VARIABLE USE_CXX11_ABI)
# Convert the bool variable to integer.
if(USE_CXX11_ABI)
set(USE_CXX11_ABI 1)
else()
set(USE_CXX11_ABI 0)
endif()
message(STATUS "USE_CXX11_ABI is set by python Torch to ${USE_CXX11_ABI}")
endif()
if(BUILD_PYT)
# Build TORCH_CUDA_ARCH_LIST
set(TORCH_CUDA_ARCH_LIST "")
foreach(CUDA_ARCH IN LISTS CMAKE_CUDA_ARCHITECTURES)
string(REGEX REPLACE "^([1-9][0-9]*)([0-9]a?)-real$" "\\1.\\2" TORCH_ARCH
${CUDA_ARCH})
list(APPEND TORCH_CUDA_ARCH_LIST ${TORCH_ARCH})
endforeach()
message(STATUS "TORCH_CUDA_ARCH_LIST: ${TORCH_CUDA_ARCH_LIST}")
# ignore values passed from the environment
if(DEFINED ENV{TORCH_CUDA_ARCH_LIST})
message(
WARNING
"Ignoring environment variable TORCH_CUDA_ARCH_LIST=$ENV{TORCH_CUDA_ARCH_LIST}"
)
endif()
unset(ENV{TORCH_CUDA_ARCH_LIST})
find_package(Python3 COMPONENTS Interpreter Development REQUIRED)
message(STATUS "Found Python executable at ${Python3_EXECUTABLE}")
message(STATUS "Found Python libraries at ${Python3_LIBRARY_DIRS}")
link_directories("${Python3_LIBRARY_DIRS}")
list(APPEND COMMON_HEADER_DIRS ${Python3_INCLUDE_DIRS})
execute_process(
COMMAND
${Python3_EXECUTABLE} "-c"
"from __future__ import print_function; import torch; print(torch.__version__,end='');"
RESULT_VARIABLE _PYTHON_SUCCESS
OUTPUT_VARIABLE TORCH_VERSION)
if(TORCH_VERSION VERSION_LESS "1.5.0")
message(FATAL_ERROR "PyTorch >= 1.5.0 is needed for TorchScript mode.")
endif()
execute_process(
COMMAND ${Python3_EXECUTABLE} "-c"
"from __future__ import print_function; import os; import torch;
print(os.path.dirname(torch.__file__),end='');"
RESULT_VARIABLE _PYTHON_SUCCESS
OUTPUT_VARIABLE TORCH_DIR)
if(NOT _PYTHON_SUCCESS MATCHES 0)
message(FATAL_ERROR "Torch config Error.")
endif()
list(APPEND CMAKE_PREFIX_PATH ${TORCH_DIR})
find_package(Torch REQUIRED)
message(STATUS "TORCH_CXX_FLAGS: ${TORCH_CXX_FLAGS}")
add_compile_options(${TORCH_CXX_FLAGS})
add_compile_definitions(TORCH_CUDA=1)
if(DEFINED USE_CXX11_ABI)
parse_make_options(${TORCH_CXX_FLAGS} "TORCH_CXX_FLAGS")
if(DEFINED TORCH_CXX_FLAGS__GLIBCXX_USE_CXX11_ABI
AND NOT ${TORCH_CXX_FLAGS__GLIBCXX_USE_CXX11_ABI} EQUAL ${USE_CXX11_ABI})
message(
WARNING
"The libtorch compilation options _GLIBCXX_USE_CXX11_ABI=${TORCH_CXX_FLAGS__GLIBCXX_USE_CXX11_ABI} "
"found by CMake conflict with the project setting USE_CXX11_ABI=${USE_CXX11_ABI}, and the project "
"setting will be discarded.")
endif()
endif()
else()
if(NOT WIN32)
if(NOT USE_CXX11_ABI)
add_compile_options("-D_GLIBCXX_USE_CXX11_ABI=0")
endif()
message(STATUS "Build without PyTorch, USE_CXX11_ABI=${USE_CXX11_ABI}")
endif()
endif()
# Defer UCX/UCXX setup until after USE_CXX11_ABI is well defined, as UCXX will
# need to be built to have aligned symbols
if(ENABLE_UCX)
# Only enable UCX related features if the system has UCX library
find_package(ucx)
if(NOT ${ucx_FOUND})
set(ENABLE_UCX 0)
else()
# installing ucxx via add_subdirectory results in strange cudart linking
# error, thus using their installation script to isolate the installation
# process until the issue is understood. And always trigger the build so
# that change in USE_CXX11_ABI will not be ignored.
execute_process(
COMMAND
${CMAKE_COMMAND} -E env LIB_BUILD_DIR=${CMAKE_BINARY_DIR}/ucxx/build
${3RDPARTY_DIR}/ucxx/build.sh libucxx -n
--cmake-args=\"-DBUILD_SHARED_LIBS=OFF
-DCMAKE_CXX_FLAGS=-D_GLIBCXX_USE_CXX11_ABI=${USE_CXX11_ABI}\"
OUTPUT_VARIABLE UCXX_BUILD_OUTPUT
RESULT_VARIABLE UCXX_BUILD_RESULT)
if(UCXX_BUILD_RESULT)
message(${UCXX_BUILD_OUTPUT})
message(FATAL_ERROR "ucxx build failed")
endif()
find_package(ucxx REQUIRED PATHS ${CMAKE_BINARY_DIR}/ucxx/build
NO_DEFAULT_PATH)
endif()
endif()
if(ENABLE_UCX)
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -DENABLE_UCX=1")
else()
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -DENABLE_UCX=0")
endif()
file(STRINGS "${TRT_INCLUDE_DIR}/NvInferVersion.h" VERSION_STRINGS
REGEX "#define NV_TENSORRT_.*")
foreach(TYPE MAJOR MINOR PATCH BUILD)
string(REGEX MATCH "NV_TENSORRT_${TYPE} [0-9]+" TRT_TYPE_STRING
${VERSION_STRINGS})
string(REGEX MATCH "[0-9]+" TRT_${TYPE} ${TRT_TYPE_STRING})
endforeach(TYPE)
set(TRT_VERSION
"${TRT_MAJOR}.${TRT_MINOR}.${TRT_PATCH}"
CACHE STRING "TensorRT project version")
set(TRT_SOVERSION
"${TRT_MAJOR}"
CACHE STRING "TensorRT library so version")
message(
STATUS
"Building for TensorRT version: ${TRT_VERSION}, library version: ${TRT_SOVERSION}"
)
if(${TRT_MAJOR} LESS 10)
message(FATAL_ERROR "TensorRT version must be at least 10.0")
endif()
list(APPEND COMMON_HEADER_DIRS)
include_directories(${COMMON_HEADER_DIRS})
include_directories(SYSTEM ${TORCH_INCLUDE_DIRS} ${TRT_INCLUDE_DIR})
add_subdirectory(tensorrt_llm)
if(BUILD_TESTS)
enable_testing()
add_subdirectory(tests)
endif()
if(BUILD_BENCHMARKS)
add_subdirectory(${TRT_LLM_ROOT_DIR}/benchmarks/cpp
${CMAKE_BINARY_DIR}/benchmarks)
endif()
if(BUILD_MICRO_BENCHMARKS)
add_subdirectory(${TRT_LLM_ROOT_DIR}/cpp/micro_benchmarks
${CMAKE_BINARY_DIR}/micro_benchmarks)
endif()
# Measure the compile time
option(MEASURE_BUILD_TIME "Measure the build time of each module" OFF)
if(MEASURE_BUILD_TIME)
set_property(GLOBAL PROPERTY RULE_LAUNCH_COMPILE "${CMAKE_COMMAND} -E time")
set_property(GLOBAL PROPERTY RULE_LAUNCH_CUSTOM "${CMAKE_COMMAND} -E time")
set_property(GLOBAL PROPERTY RULE_LAUNCH_LINK "${CMAKE_COMMAND} -E time")
endif()
set(BUILD_WHEEL_TARGETS
tensorrt_llm;nvinfer_plugin_tensorrt_llm
CACHE STRING "Targets used to build wheel")
add_custom_target(build_wheel_targets DEPENDS ${BUILD_WHEEL_TARGETS})