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# Copyright (c) 2016 PaddlePaddle Authors. 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 3.0)
set(CMAKE_MODULE_PATH ${CMAKE_MODULE_PATH} "${CMAKE_CURRENT_SOURCE_DIR}/cmake")
set(PADDLE_SOURCE_DIR ${CMAKE_CURRENT_SOURCE_DIR})
set(PADDLE_BINARY_DIR ${CMAKE_CURRENT_BINARY_DIR})
set(CMAKE_EXPORT_COMPILE_COMMANDS ON)
# c++ standard
if(LITE_WITH_METAL)
set(CMAKE_CXX_STANDARD 14)
else()
set(CMAKE_CXX_STANDARD 11)
endif()
# Host system configurations
include(system)
# Paddlelite functions and macros
include(functions)
# Target os configurations
include(os/common)
# Paddlelite project
project(paddle CXX C)
message(STATUS "CXX compiler: ${CMAKE_CXX_COMPILER}, version: ${CMAKE_CXX_COMPILER_ID} ${CMAKE_CXX_COMPILER_VERSION}")
message(STATUS "C compiler: ${CMAKE_C_COMPILER}, version: ${CMAKE_C_COMPILER_ID} ${CMAKE_C_COMPILER_VERSION}")
message(STATUS "AR tools: ${CMAKE_AR}")
message(STATUS "CMAKE GENERATOR: ${CMAKE_GENERATOR}")
if(WIN32)
include(os/windows)
endif()
################################ Exposed Configurations #######################################
lite_option(WITH_DSO "Compile PaddlePaddle with dynamic linked CUDA" ON)
lite_option(WITH_AVX "Compile PaddlePaddle with AVX intrinsics" ON IF ${AVX_FOUND})
lite_option(WITH_TESTING "Compile PaddlePaddle with unit testing" OFF)
lite_option(WITH_MKL "Compile PaddlePaddle with MKL support." ON IF ${AVX_FOUND})
lite_option(WITH_ARM_DOTPROD "Compile PaddlePaddle with ARM dot production" ON)
lite_option(WITH_SYSTEM_BLAS "Use system blas library" OFF)
# for lite, both server and mobile framework.
lite_option(LITE_WITH_JAVA "Enable Java JNI lib in lite mode" OFF)
lite_option(LITE_WITH_STATIC_LIB "Enable static cplus lib in lite mode" OFF)
lite_option(LITE_WITH_PYTHON "Enable Python api lib in lite mode" OFF)
lite_option(LITE_WITH_CUDA "Enable CUDA in lite mode" OFF)
lite_option(LITE_WITH_X86 "Enable X86 in lite mode" ON)
lite_option(LITE_WITH_ARM "Enable ARM in lite mode" OFF)
lite_option(LITE_WITH_SW "Enable SW in lite mode" OFF)
lite_option(LITE_WITH_NPU "Enable NPU in lite mode" OFF)
lite_option(LITE_WITH_MLU "Enable MLU in lite mode" OFF)
lite_option(LITE_WITH_NNADAPTER "Enable NNAdapter in lite mode" OFF)
lite_option(LITE_WITH_XPU "Enable XPU in lite mode" OFF)
lite_option(LITE_WITH_BM "Enable BM in lite mode" OFF)
lite_option(LITE_WITH_TRAIN "Enable training operators and kernels in lite" OFF)
lite_option(LITE_WITH_OPENMP "Enable OpenMP in lite framework" ON)
lite_option(LITE_WITH_OPENCL "Enable OpenCL support in lite" OFF)
lite_option(LITE_WITH_METAL "Enable Metal support in lite" OFF)
lite_option(LITE_WITH_FPGA "Enable FPGA support in lite" OFF)
lite_option(LITE_WITH_INTEL_FPGA "Enable Intel FPGA support in lite" OFF)
lite_option(LITE_WITH_PROFILE "Enable profile mode in lite framework" OFF)
lite_option(LITE_WITH_PRECISION_PROFILE "Enable precision profile in profile mode ON in lite" OFF)
lite_option(LITE_WITH_LOG "Enable log printing or not." ON)
lite_option(LITE_WITH_EXCEPTION "Enable throwing the exception when error occurs in lite" OFF)
lite_option(LITE_WITH_NVTX "Enable nvtx or not, please enable LITE_WITH_CUDA first." OFF)
lite_option(LITE_ON_TINY_PUBLISH "Publish tiny predictor lib." OFF)
lite_option(LITE_ON_MODEL_OPTIMIZE_TOOL "Build the model optimize tool" OFF)
lite_option(LITE_WITH_BENCHMARK_TEST "Build benchmark test cases" OFF)
lite_option(LITE_THREAD_POOL "Enable thread pool in lite" OFF)
# publish options
lite_option(LITE_BUILD_EXTRA "Enable extra algorithm support in Lite, both kernels and operators" OFF)
lite_option(LITE_BUILD_TAILOR "Enable tailoring library according to model" OFF)
# cv build options
lite_option(LITE_WITH_CV "Enable build cv image in lite" OFF)
lite_option(LITE_WITH_STATIC_CUDA "Statically link cuda libraries." OFF)
lite_option(CUDA_WITH_FP16 "Compile with cuda half support" OFF)
lite_option(LITE_WITH_ARM_CLANG "when arm lang is clang, its ON." OFF)
lite_option(LITE_WITH_XCODE "when debug in xcode, its ON." OFF)
lite_option(LITE_WITH_ARM82_FP16 "when compile with arm v8.2 fp16, it's ON." OFF)
lite_option(LITE_WITH_ARM8_SVE2 "Enable SVE2 instructions in ARMv8." OFF)
lite_option(LITE_WITH_ARM82_INT8_SDOT "when compile with arm v8.2 int8, it's ON." OFF)
lite_option(LITE_WITH_CODE_META_INFO "include git version in the header file." ON)
lite_option(WITH_NODE_RAW_FS "(Only available when compiling by Emscripten) Whether build with NODERAWFS" OFF)
# Thirdparty
set(THIRD_PARTY_PATH "${PADDLE_BINARY_DIR}/third_party" CACHE STRING
"A path setting third party libraries download & build directories.")
if(NOT LITE_WITH_ARM)
find_package(CUDA QUIET)
endif()
find_package(Git REQUIRED)
find_package(Threads REQUIRED)
# Simd configurations
include(simd)
# CMAKE_BUILD_TYPE
if(NOT CMAKE_BUILD_TYPE)
if(WIN32)
set(CMAKE_BUILD_TYPE "Release" CACHE STRING
"Choose the type of build, options are: Debug Release RelWithDebInfo MinSizeRel" FORCE)
else()
set(CMAKE_BUILD_TYPE "RelWithDebInfo" CACHE STRING
"Choose the type of build, options are: Debug Release RelWithDebInfo MinSizeRel" FORCE)
endif()
endif()
message(STATUS "CMAKE_BUILD_TYPE: ${CMAKE_BUILD_TYPE}")
# check options
if(LITE_ON_TINY_PUBLISH)
if(NOT (LITE_WITH_ARM AND NOT WITH_TESTING))#LITE_WITH_JAVA AND
message(FATAL_ERROR "LITE_ON_TINY_PUBLISH=ON must be used with LITE_WITH_ARM=ON LITE_WITH_JAVA=ON WITH_TESTING=OFF")
return()
endif()
endif()
include_directories("${PADDLE_SOURCE_DIR}")
# the generated header files.
set(LITE_GENERATED_INCLUDE_DIR "${PADDLE_BINARY_DIR}")
include_directories("${LITE_GENERATED_INCLUDE_DIR}")
if(LITE_WITH_PYTHON)
include(external/python) # download, build, install python
include(external/pybind11) # download, build, install pybind11
endif()
# flatbuffer module for loading model
if(LITE_UPDATE_FBS_HEAD)
include(external/flatbuffers)
else()
include_directories("${PADDLE_SOURCE_DIR}/third-party/flatbuffers/pre-build")
add_custom_target(fbs_headers ${TARGET}
COMMAND ${CMAKE_COMMAND} -E copy_if_different "${PADDLE_SOURCE_DIR}/third-party/flatbuffers/pre-build/framework_generated.h" "${PADDLE_SOURCE_DIR}/lite/model_parser/flatbuffers/"
COMMAND ${CMAKE_COMMAND} -E copy_if_different "${PADDLE_SOURCE_DIR}/third-party/flatbuffers/pre-build/param_generated.h" "${PADDLE_SOURCE_DIR}/lite/model_parser/flatbuffers/"
COMMAND ${CMAKE_COMMAND} -E copy_if_different "${PADDLE_SOURCE_DIR}/third-party/flatbuffers/pre-build/cache_generated.h" "${PADDLE_SOURCE_DIR}/lite/backends/opencl/utils/"
COMMAND ${CMAKE_COMMAND} -E copy_if_different "${PADDLE_SOURCE_DIR}/third-party/flatbuffers/pre-build/tune_cache_generated.h" "${PADDLE_SOURCE_DIR}/lite/backends/opencl/utils/"
)
endif()
if(LITE_THREAD_POOL)
add_definitions(-DLITE_USE_THREAD_POOL)
endif()
if (LITE_THREAD_POOL OR ((ARM_TARGET_LANG STREQUAL "clang") AND (ARM_TARGET_ARCH_ABI STREQUAL "armv7")))
set(LITE_WITH_OPENMP OFF CACHE STRING "Disable OpenMP when Thread Pool is enabled" FORCE)
endif()
set(WITH_MKLML ${WITH_MKL})
if(NOT DEFINED WITH_MKLDNN)
if(WITH_MKL AND AVX2_FOUND)
set(WITH_MKLDNN ON)
else()
message(STATUS "Do not have AVX2 intrinsics and disabled MKL-DNN")
set(WITH_MKLDNN OFF)
endif()
endif()
include(backends/common)
add_subdirectory(lite)
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