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CMakeLists.txt
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CMakeLists.txt
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# Copyright (c) 2019-2021, NVIDIA CORPORATION. All rights reserved.
#
# 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 3.8 FATAL_ERROR) # for PyTorch extensions, version should be greater than 3.13
project(FasterTransformer LANGUAGES CXX CUDA)
find_package(CUDA 10.1 REQUIRED)
option(BUILD_TF "Build in TensorFlow mode" OFF)
option(BUILD_PYT "Build in PyTorch TorchScript class mode" OFF)
option(BUILD_GPT "Build project with gpt" ON) # TODO Set default to OFF
if(BUILD_GPT)
message(STATUS "Add DBUILD_GPT, requires MPI and NCCL")
add_definitions("-DBUILD_GPT")
set(CMAKE_MODULE_PATH ${PROJECT_SOURCE_DIR}/cmake/Modules)
find_package(MPI REQUIRED)
find_package(NCCL REQUIRED)
#if(${NCCL_VERSION} LESS 2.7)
# message(FATAL_ERROR "NCCL_VERSION ${NCCL_VERSION} is less than 2.7")
#endif()
set(CMAKE_MODULE_PATH "") # prevent the bugs for pytorch building
endif()
if(BUILD_PYT)
if(DEFINED ENV{NVIDIA_PYTORCH_VERSION})
if($ENV{NVIDIA_PYTORCH_VERSION} VERSION_LESS "20.03")
message(FATAL_ERROR "NVIDIA PyTorch image is too old for TorchScript mode.")
endif()
if($ENV{NVIDIA_PYTORCH_VERSION} VERSION_EQUAL "20.03")
add_definitions(-DLEGACY_THS=1)
endif()
endif()
endif()
if(BUILD_PYT OR BUILD_GPT)
set(CXX_STD "14" CACHE STRING "C++ standard")
else()
set(CXX_STD "11" CACHE STRING "C++ standard")
endif()
set(CUDA_PATH ${CUDA_TOOLKIT_ROOT_DIR})
set(TF_PATH "" CACHE STRING "TensorFlow path")
if(BUILD_TF AND NOT TF_PATH)
message(FATAL_ERROR "TF_PATH must be set if BUILD_TF(=TensorFlow mode) is on.")
endif()
list(APPEND CMAKE_MODULE_PATH ${CUDA_PATH}/lib64)
if (${CUDA_VERSION} GREATER_EQUAL 11.0)
message(STATUS "Add DCUDA11_MODE")
add_definitions("-DCUDA11_MODE")
endif()
# profiling
option(USE_NVTX "Whether or not to use nvtx" OFF)
if(USE_NVTX)
message(STATUS "NVTX is enabled.")
add_definitions("-DUSE_NVTX")
endif()
# setting compiler flags
set(CMAKE_C_FLAGS "${CMAKE_C_FLAGS}")
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS}")
set(CMAKE_CUDA_FLAGS "${CMAKE_CUDA_FLAGS} -Xcompiler -Wall -ldl")
# if (SM STREQUAL 80 OR
# SM STREQUAL 86 OR
# SM STREQUAL 70 OR
# SM STREQUAL 75 OR
# SM STREQUAL 61 OR
# SM STREQUAL 60)
# #set(CMAKE_CUDA_FLAGS "${CMAKE_CUDA_FLAGS} -gencode=arch=compute_${SM},code=\\\"sm_${SM},compute_${SM}\\\" -rdc=true")
# set(CMAKE_CUDA_FLAGS "${CMAKE_CUDA_FLAGS} -gencode=arch=compute_${SM},code=\\\"sm_${SM},compute_${SM}\\\"")
# if (SM STREQUAL 70 OR SM STREQUAL 75 OR SM STREQUAL 80 OR SM STREQUAL 86)
# set(CMAKE_C_FLAGS "${CMAKE_C_FLAGS} -DWMMA")
# set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -DWMMA")
# set(CMAKE_CUDA_FLAGS "${CMAKE_CUDA_FLAGS} -DWMMA")
# endif()
# message("-- Assign GPU architecture (sm=${SM})")
# else()
# set(CMAKE_CUDA_FLAGS "${CMAKE_CUDA_FLAGS} \
# -gencode=arch=compute_70,code=\\\"sm_70,compute_70\\\" \
# -gencode=arch=compute_75,code=\\\"sm_75,compute_75\\\" \
# ")
# # -rdc=true")
# set(CMAKE_C_FLAGS "${CMAKE_C_FLAGS} -DWMMA")
# set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -DWMMA")
# set(CMAKE_CUDA_FLAGS "${CMAKE_CUDA_FLAGS} -DWMMA")
# message("-- Assign GPU architecture (sm=70,75)")
# endif()
set(SM_SETS 52 60 61 70 75 80)
set(USING_WMMA False)
set(FIND_SM False)
foreach(SM_NUM IN LISTS SM_SETS)
string(FIND "${SM}" "${SM_NUM}" SM_POS)
if(SM_POS GREATER -1)
if(FIND_SM STREQUAL False)
set(ENV{TORCH_CUDA_ARCH_LIST} "")
endif()
set(FIND_SM True)
set(CMAKE_CUDA_FLAGS "${CMAKE_CUDA_FLAGS} -gencode=arch=compute_${SM_NUM},code=\\\"sm_${SM_NUM},compute_${SM_NUM}\\\"")
if (SM_NUM STREQUAL 70 OR SM_NUM STREQUAL 75 OR SM_NUM STREQUAL 80 OR SM_NUM STREQUAL 86)
set(USING_WMMA True)
endif()
if(BUILD_PYT)
string(SUBSTRING ${SM_NUM} 0 1 SM_MAJOR)
string(SUBSTRING ${SM_NUM} 1 1 SM_MINOR)
set(ENV{TORCH_CUDA_ARCH_LIST} "$ENV{TORCH_CUDA_ARCH_LIST}\;${SM_MAJOR}.${SM_MINOR}")
endif()
set(CMAKE_CUDA_ARCHITECTURES ${SM_NUM})
message("-- Assign GPU architecture (sm=${SM_NUM})")
endif()
endforeach()
if(USING_WMMA STREQUAL True)
set(CMAKE_C_FLAGS "${CMAKE_C_FLAGS} -DWMMA")
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -DWMMA")
set(CMAKE_CUDA_FLAGS "${CMAKE_CUDA_FLAGS} -DWMMA")
message("-- Use WMMA")
endif()
if(NOT (FIND_SM STREQUAL True))
set(CMAKE_CUDA_FLAGS "${CMAKE_CUDA_FLAGS} \
-gencode=arch=compute_70,code=\\\"sm_70,compute_70\\\" \
-gencode=arch=compute_75,code=\\\"sm_75,compute_75\\\" \
-gencode=arch=compute_80,code=\\\"sm_80,compute_80\\\" \
")
# -rdc=true")
set(CMAKE_C_FLAGS "${CMAKE_C_FLAGS} -DWMMA")
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -DWMMA")
set(CMAKE_CUDA_FLAGS "${CMAKE_CUDA_FLAGS} -DWMMA")
if(BUILD_PYT)
set(ENV{TORCH_CUDA_ARCH_LIST} "7.0;7.5;8.0")
endif()
set(CMAKE_CUDA_ARCHITECTURES 70 75 80)
message("-- Assign GPU architecture (sm=70,75,80)")
endif()
if(BUILD_PYT)
set(TORCH_CUDA_ARCH_LIST $ENV{TORCH_CUDA_ARCH_LIST})
endif()
set(CMAKE_C_FLAGS_DEBUG "${CMAKE_C_FLAGS_DEBUG} -Wall -O0")
set(CMAKE_CXX_FLAGS_DEBUG "${CMAKE_CXX_FLAGS_DEBUG} -Wall -O0")
# set(CMAKE_CUDA_FLAGS_DEBUG "${CMAKE_CUDA_FLAGS_DEBUG} -O0 -G -Xcompiler -Wall --ptxas-options=-v --resource-usage")
set(CMAKE_CUDA_FLAGS_DEBUG "${CMAKE_CUDA_FLAGS_DEBUG} -O0 -G -Xcompiler -Wall")
set(CMAKE_CXX_STANDARD "${CXX_STD}")
set(CMAKE_CXX_STANDARD_REQUIRED ON)
set(CMAKE_CUDA_FLAGS "${CMAKE_CUDA_FLAGS} --expt-extended-lambda")
set(CMAKE_CUDA_FLAGS "${CMAKE_CUDA_FLAGS} --expt-relaxed-constexpr")
set(CMAKE_CUDA_FLAGS "${CMAKE_CUDA_FLAGS} --std=c++${CXX_STD}")
set(CMAKE_CXX_FLAGS_RELEASE "${CMAKE_CXX_FLAGS_RELEASE} -O3")
# set(CMAKE_CUDA_FLAGS_RELEASE "${CMAKE_CUDA_FLAGS_RELEASE} -Xcompiler -O3 --ptxas-options=--verbose")
set(CMAKE_CUDA_FLAGS_RELEASE "${CMAKE_CUDA_FLAGS_RELEASE} -Xcompiler -O3")
set(CMAKE_ARCHIVE_OUTPUT_DIRECTORY ${CMAKE_BINARY_DIR}/lib)
set(CMAKE_LIBRARY_OUTPUT_DIRECTORY ${CMAKE_BINARY_DIR}/lib)
set(CMAKE_RUNTIME_OUTPUT_DIRECTORY ${CMAKE_BINARY_DIR}/bin)
set(COMMON_HEADER_DIRS
${PROJECT_SOURCE_DIR}
${CUDA_PATH}/include
)
set(COMMON_LIB_DIRS
${CUDA_PATH}/lib64
)
if(BUILD_TF)
list(APPEND COMMON_HEADER_DIRS ${TF_PATH}/include)
list(APPEND COMMON_LIB_DIRS ${TF_PATH})
endif()
set(PYTHON_PATH "python" CACHE STRING "Python path")
if(BUILD_PYT)
execute_process(COMMAND ${PYTHON_PATH} "-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 ${PYTHON_PATH} "-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)
execute_process(COMMAND ${PYTHON_PATH} "-c" "from __future__ import print_function; from distutils import sysconfig;
print(sysconfig.get_python_inc());"
RESULT_VARIABLE _PYTHON_SUCCESS
OUTPUT_VARIABLE PY_INCLUDE_DIR)
if (NOT _PYTHON_SUCCESS MATCHES 0)
message(FATAL_ERROR "Python config Error.")
endif()
list(APPEND COMMON_HEADER_DIRS ${PY_INCLUDE_DIR})
endif()
list(APPEND COMMON_HEADER_DIRS ${MPI_INCLUDE_PATH})
include_directories(
${COMMON_HEADER_DIRS}
)
# set path of mpi
list(APPEND COMMON_LIB_DIRS /usr/local/mpi/lib)
link_directories(
${COMMON_LIB_DIRS}
)
add_subdirectory(fastertransformer)
add_subdirectory(tools)
add_subdirectory(sample)
if(BUILD_TF)
add_custom_target(copy ALL COMMENT "Copying tensorflow test scripts")
add_custom_command(TARGET copy
POST_BUILD
COMMAND cp ${PROJECT_SOURCE_DIR}/sample/tensorflow/ ${PROJECT_BINARY_DIR} -r
)
endif()
if(BUILD_PYT)
add_custom_target(copy ALL COMMENT "Copying pytorch test scripts")
add_custom_command(TARGET copy
POST_BUILD
COMMAND cp ${PROJECT_SOURCE_DIR}/sample/pytorch/ ${PROJECT_BINARY_DIR} -r
COMMAND mkdir -p ${PROJECT_BINARY_DIR}/pytorch/translation/data/
COMMAND cp ${PROJECT_SOURCE_DIR}/sample/tensorflow/utils/translation/test.* ${PROJECT_BINARY_DIR}/pytorch/translation/data/
)
endif()
########################################
if(BUILD_GPT)
# Following feature requires cmake 3.15
# TODO Remove this part or modify such that we can run it under cmake 3.10
cmake_minimum_required(VERSION 3.15 FATAL_ERROR)
add_library(transformer-static STATIC
$<TARGET_OBJECTS:encoder>
$<TARGET_OBJECTS:cuda_kernels>
$<TARGET_OBJECTS:transformer_kernels>
$<TARGET_OBJECTS:nvtx_utils>
$<TARGET_OBJECTS:cuda_int8_kernels>
$<TARGET_OBJECTS:attention_kernels>
$<TARGET_OBJECTS:trt_fused_multi_head_attention>
$<TARGET_OBJECTS:encoder_gemm_func>
$<TARGET_OBJECTS:encoder_igemm_func>
$<TARGET_OBJECTS:decoder>
$<TARGET_OBJECTS:decoding>
$<TARGET_OBJECTS:topk>
$<TARGET_OBJECTS:online_softmax_beamsearch>
$<TARGET_OBJECTS:nccl_utils>)
set_property(TARGET transformer-static PROPERTY POSITION_INDEPENDENT_CODE ON)
set_property(TARGET transformer-static PROPERTY CUDA_RESOLVE_DEVICE_SYMBOLS ON)
target_link_libraries(transformer-static PUBLIC -lcublas -lcudart -lcurand -lnccl -lmpi nvtx_utils)
add_library(transformer-shared SHARED
$<TARGET_OBJECTS:encoder>
$<TARGET_OBJECTS:cuda_kernels>
$<TARGET_OBJECTS:transformer_kernels>
$<TARGET_OBJECTS:nvtx_utils>
$<TARGET_OBJECTS:cuda_int8_kernels>
$<TARGET_OBJECTS:attention_kernels>
$<TARGET_OBJECTS:trt_fused_multi_head_attention>
$<TARGET_OBJECTS:encoder_gemm_func>
$<TARGET_OBJECTS:encoder_igemm_func>
$<TARGET_OBJECTS:decoder>
$<TARGET_OBJECTS:decoding>
$<TARGET_OBJECTS:topk>
$<TARGET_OBJECTS:online_softmax_beamsearch>
$<TARGET_OBJECTS:nccl_utils>
$<TARGET_OBJECTS:gpt_triton_backend>)
## add_library(transformer-shared SHARED $<TARGET_OBJECTS:encoder>)
set_target_properties(transformer-shared PROPERTIES POSITION_INDEPENDENT_CODE ON)
set_target_properties(transformer-shared PROPERTIES CUDA_RESOLVE_DEVICE_SYMBOLS ON)
set_target_properties(transformer-shared PROPERTIES LINKER_LANGUAGE CXX)
target_link_libraries(transformer-shared PUBLIC ${NCCL_LIBRARIES} ${MPI_LIBRARIES} -lcublas -lcublasLt -lcudart -lcurand )
include(GNUInstallDirs)
set(INSTALL_CONFIGDIR ${CMAKE_INSTALL_LIBDIR}/cmake/FasterTransformer)
include(CMakePackageConfigHelpers)
configure_package_config_file(
${CMAKE_CURRENT_LIST_DIR}/cmake/FasterTransformerConfig.cmake.in
${CMAKE_CURRENT_BINARY_DIR}/FasterTransformerConfig.cmake
INSTALL_DESTINATION ${INSTALL_CONFIGDIR}
)
install(
FILES
${CMAKE_CURRENT_BINARY_DIR}/FasterTransformerConfig.cmake
DESTINATION ${INSTALL_CONFIGDIR}
)
install(
TARGETS
transformer-shared
EXPORT
transformer-shared-targets
LIBRARY DESTINATION ${CMAKE_INSTALL_PREFIX}/lib
ARCHIVE DESTINATION ${CMAKE_INSTALL_PREFIX}/lib
)
install(
EXPORT
transformer-shared-targets
FILE
FasterTransformerTargets.cmake
DESTINATION
${INSTALL_CONFIGDIR}
)
file(GLOB_RECURSE HEADER_FILES "*.h" "*.hpp" "*.cuh")
foreach ( file ${HEADER_FILES} )
file( RELATIVE_PATH rfile ${CMAKE_CURRENT_SOURCE_DIR} ${file} )
get_filename_component( dir ${rfile} DIRECTORY )
install( FILES ${file} DESTINATION ${CMAKE_INSTALL_PREFIX}/include/${dir} )
endforeach()
################################################################################
add_executable(gpt sample/cpp/gpt_sample.cc )
target_link_libraries(gpt PUBLIC -lcublas -lcublasLt -lcudart -lcurand -lnccl -lmpi transformer-static)
# target_link_libraries(gpt PUBLIC -lcublas -lcublasLt -lcudart -lcurand -lnccl -lmpi decoder decoding)
export(
EXPORT
transformer-shared-targets
FILE
${CMAKE_CURRENT_BINARY_DIR}/FasterTransformerTargets.cmake
NAMESPACE
TritonCore::
)
export(PACKAGE FasterTransformer)
endif() # BUILD_GPT