cuda.cmake 9.1 KB
Newer Older
X
xiexionghang 已提交
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220
if(NOT WITH_GPU)
    return()
endif()

set(paddle_known_gpu_archs "30 35 50 52 60 61 70")
set(paddle_known_gpu_archs7 "30 35 50 52")
set(paddle_known_gpu_archs8 "30 35 50 52 60 61")
set(paddle_known_gpu_archs9 "30 35 50 52 60 61 70")
set(paddle_known_gpu_archs10 "30 35 50 52 60 61 70 75")

######################################################################################
# A function for automatic detection of GPUs installed  (if autodetection is enabled)
# Usage:
#   detect_installed_gpus(out_variable)
function(detect_installed_gpus out_variable)
  if(NOT CUDA_gpu_detect_output)
    set(cufile ${PROJECT_BINARY_DIR}/detect_cuda_archs.cu)

    file(WRITE ${cufile} ""
      "#include <cstdio>\n"
      "int main() {\n"
      "  int count = 0;\n"
      "  if (cudaSuccess != cudaGetDeviceCount(&count)) return -1;\n"
      "  if (count == 0) return -1;\n"
      "  for (int device = 0; device < count; ++device) {\n"
      "    cudaDeviceProp prop;\n"
      "    if (cudaSuccess == cudaGetDeviceProperties(&prop, device))\n"
      "      std::printf(\"%d.%d \", prop.major, prop.minor);\n"
      "  }\n"
      "  return 0;\n"
      "}\n")

    execute_process(COMMAND "${CUDA_NVCC_EXECUTABLE}" "-ccbin=${CUDA_HOST_COMPILER}"
                    "--run" "${cufile}"
                    WORKING_DIRECTORY "${PROJECT_BINARY_DIR}/CMakeFiles/"
                    RESULT_VARIABLE nvcc_res OUTPUT_VARIABLE nvcc_out
                    ERROR_QUIET OUTPUT_STRIP_TRAILING_WHITESPACE)

    if(nvcc_res EQUAL 0)
      # only keep the last line of nvcc_out
      STRING(REGEX REPLACE ";" "\\\\;" nvcc_out "${nvcc_out}")
      STRING(REGEX REPLACE "\n" ";" nvcc_out "${nvcc_out}")
      list(GET nvcc_out -1 nvcc_out)
      string(REPLACE "2.1" "2.1(2.0)" nvcc_out "${nvcc_out}")
      set(CUDA_gpu_detect_output ${nvcc_out} CACHE INTERNAL "Returned GPU architetures from detect_installed_gpus tool" FORCE)
    endif()
  endif()

  if(NOT CUDA_gpu_detect_output)
    message(STATUS "Automatic GPU detection failed. Building for all known architectures.")
    set(${out_variable} ${paddle_known_gpu_archs} PARENT_SCOPE)
  else()
    set(${out_variable} ${CUDA_gpu_detect_output} PARENT_SCOPE)
  endif()
endfunction()


########################################################################
# Function for selecting GPU arch flags for nvcc based on CUDA_ARCH_NAME
# Usage:
#   select_nvcc_arch_flags(out_variable)
function(select_nvcc_arch_flags out_variable)
  # List of arch names
  set(archs_names "Kepler" "Maxwell" "Pascal" "Volta" "Turing" "All" "Manual")
  set(archs_name_default "All")
  list(APPEND archs_names "Auto")

  # set CUDA_ARCH_NAME strings (so it will be seen as dropbox in CMake-Gui)
  set(CUDA_ARCH_NAME ${archs_name_default} CACHE STRING "Select target NVIDIA GPU achitecture.")
  set_property( CACHE CUDA_ARCH_NAME PROPERTY STRINGS "" ${archs_names} )
  mark_as_advanced(CUDA_ARCH_NAME)

  # verify CUDA_ARCH_NAME value
  if(NOT ";${archs_names};" MATCHES ";${CUDA_ARCH_NAME};")
    string(REPLACE ";" ", " archs_names "${archs_names}")
    message(FATAL_ERROR "Only ${archs_names} architeture names are supported.")
  endif()

  if(${CUDA_ARCH_NAME} STREQUAL "Manual")
    set(CUDA_ARCH_BIN ${paddle_known_gpu_archs} CACHE STRING "Specify 'real' GPU architectures to build binaries for, BIN(PTX) format is supported")
    set(CUDA_ARCH_PTX "50"                     CACHE STRING "Specify 'virtual' PTX architectures to build PTX intermediate code for")
    mark_as_advanced(CUDA_ARCH_BIN CUDA_ARCH_PTX)
  else()
    unset(CUDA_ARCH_BIN CACHE)
    unset(CUDA_ARCH_PTX CACHE)
  endif()

  if(${CUDA_ARCH_NAME} STREQUAL "Kepler")
    set(cuda_arch_bin "30 35")
  elseif(${CUDA_ARCH_NAME} STREQUAL "Maxwell")
    set(cuda_arch_bin "50")
  elseif(${CUDA_ARCH_NAME} STREQUAL "Pascal")
    set(cuda_arch_bin "60 61")
  elseif(${CUDA_ARCH_NAME} STREQUAL "Volta")
    set(cuda_arch_bin "70")
  elseif(${CUDA_ARCH_NAME} STREQUAL "Turing")
    set(cuda_arch_bin "75")
  elseif(${CUDA_ARCH_NAME} STREQUAL "All")
    set(cuda_arch_bin ${paddle_known_gpu_archs})
  elseif(${CUDA_ARCH_NAME} STREQUAL "Auto")
    detect_installed_gpus(cuda_arch_bin)
  else()  # (${CUDA_ARCH_NAME} STREQUAL "Manual")
    set(cuda_arch_bin ${CUDA_ARCH_BIN})
  endif()

  # remove dots and convert to lists
  string(REGEX REPLACE "\\." "" cuda_arch_bin "${cuda_arch_bin}")
  string(REGEX REPLACE "\\." "" cuda_arch_ptx "${CUDA_ARCH_PTX}")
  string(REGEX MATCHALL "[0-9()]+" cuda_arch_bin "${cuda_arch_bin}")
  string(REGEX MATCHALL "[0-9]+"   cuda_arch_ptx "${cuda_arch_ptx}")
  list(REMOVE_DUPLICATES cuda_arch_bin)
  list(REMOVE_DUPLICATES cuda_arch_ptx)

  set(nvcc_flags "")
  set(nvcc_archs_readable "")

  # Tell NVCC to add binaries for the specified GPUs
  foreach(arch ${cuda_arch_bin})
    if(arch MATCHES "([0-9]+)\\(([0-9]+)\\)")
      # User explicitly specified PTX for the concrete BIN
      list(APPEND nvcc_flags -gencode arch=compute_${CMAKE_MATCH_2},code=sm_${CMAKE_MATCH_1})
      list(APPEND nvcc_archs_readable sm_${CMAKE_MATCH_1})
    else()
      # User didn't explicitly specify PTX for the concrete BIN, we assume PTX=BIN
      list(APPEND nvcc_flags -gencode arch=compute_${arch},code=sm_${arch})
      list(APPEND nvcc_archs_readable sm_${arch})
    endif()
  endforeach()

  # Tell NVCC to add PTX intermediate code for the specified architectures
  foreach(arch ${cuda_arch_ptx})
    list(APPEND nvcc_flags -gencode arch=compute_${arch},code=compute_${arch})
    list(APPEND nvcc_archs_readable compute_${arch})
  endforeach()

  string(REPLACE ";" " " nvcc_archs_readable "${nvcc_archs_readable}")
  set(${out_variable}          ${nvcc_flags}          PARENT_SCOPE)
  set(${out_variable}_readable ${nvcc_archs_readable} PARENT_SCOPE)
endfunction()

message(STATUS "CUDA detected: " ${CUDA_VERSION})
if (${CUDA_VERSION} LESS 7.0)
  set(paddle_known_gpu_archs ${paddle_known_gpu_archs})
elseif (${CUDA_VERSION} LESS 8.0) # CUDA 7.x
  set(paddle_known_gpu_archs ${paddle_known_gpu_archs7})
  list(APPEND CUDA_NVCC_FLAGS "-D_MWAITXINTRIN_H_INCLUDED")
  list(APPEND CUDA_NVCC_FLAGS "-D__STRICT_ANSI__")
elseif (${CUDA_VERSION} LESS 9.0) # CUDA 8.x
  set(paddle_known_gpu_archs ${paddle_known_gpu_archs8})
  list(APPEND CUDA_NVCC_FLAGS "-D_MWAITXINTRIN_H_INCLUDED")
  list(APPEND CUDA_NVCC_FLAGS "-D__STRICT_ANSI__")
  # CUDA 8 may complain that sm_20 is no longer supported. Suppress the
  # warning for now.
  list(APPEND CUDA_NVCC_FLAGS "-Wno-deprecated-gpu-targets")
elseif (${CUDA_VERSION} LESS 10.0) # CUDA 9.x
  set(paddle_known_gpu_archs ${paddle_known_gpu_archs9})
  list(APPEND CUDA_NVCC_FLAGS "-D_MWAITXINTRIN_H_INCLUDED")
  list(APPEND CUDA_NVCC_FLAGS "-D__STRICT_ANSI__")
elseif (${CUDA_VERSION} LESS 11.0) # CUDA 10.x
  set(paddle_known_gpu_archs ${paddle_known_gpu_archs10})
  list(APPEND CUDA_NVCC_FLAGS "-D_MWAITXINTRIN_H_INCLUDED")
  list(APPEND CUDA_NVCC_FLAGS "-D__STRICT_ANSI__")
endif()
add_definitions("-DPADDLE_CUDA_BINVER=\"${CUDA_VERSION_MAJOR}${CUDA_VERSION_MINOR}\"")

include_directories(${CUDA_INCLUDE_DIRS})
if(NOT WITH_DSO)
    if(WIN32)
      set_property(GLOBAL PROPERTY CUDA_MODULES ${CUDNN_LIBRARY} ${CUDA_CUBLAS_LIBRARIES} ${CUDA_curand_LIBRARY})
    endif(WIN32)
endif(NOT WITH_DSO)

# setting nvcc arch flags
select_nvcc_arch_flags(NVCC_FLAGS_EXTRA)
list(APPEND CUDA_NVCC_FLAGS ${NVCC_FLAGS_EXTRA})
message(STATUS "Added CUDA NVCC flags for: ${NVCC_FLAGS_EXTRA_readable}")

# Set C++11 support
set(CUDA_PROPAGATE_HOST_FLAGS OFF)

# Release/Debug flags set by cmake. Such as -O3 -g -DNDEBUG etc.
# So, don't set these flags here.
if (NOT WIN32) # windows msvc2015 support c++11 natively. 
# -std=c++11 -fPIC not recoginize by msvc, -Xcompiler will be added by cmake.
list(APPEND CUDA_NVCC_FLAGS "-std=c++11")
list(APPEND CUDA_NVCC_FLAGS "-Xcompiler -fPIC")
endif(NOT WIN32)

# in cuda9, suppress cuda warning on eigen 
list(APPEND CUDA_NVCC_FLAGS "-w")
# Set :expt-relaxed-constexpr to suppress Eigen warnings
list(APPEND CUDA_NVCC_FLAGS "--expt-relaxed-constexpr")

if (NOT WIN32)
  if(CMAKE_BUILD_TYPE  STREQUAL "Debug")
      list(APPEND CUDA_NVCC_FLAGS  ${CMAKE_CXX_FLAGS_DEBUG})
  elseif(CMAKE_BUILD_TYPE  STREQUAL "Release")
      list(APPEND CUDA_NVCC_FLAGS  ${CMAKE_CXX_FLAGS_RELEASE})
  elseif(CMAKE_BUILD_TYPE  STREQUAL "RelWithDebInfo")
      list(APPEND CUDA_NVCC_FLAGS  ${CMAKE_CXX_FLAGS_RELWITHDEBINFO})
  elseif(CMAKE_BUILD_TYPE  STREQUAL "MinSizeRel")
      # nvcc 9 does not support -Os. Use Release flags instead
      list(APPEND CUDA_NVCC_FLAGS  ${CMAKE_CXX_FLAGS_RELEASE})
  endif()
else(NOT WIN32)
  list(APPEND CUDA_NVCC_FLAGS  "-Xcompiler \"/wd 4244 /wd 4267 /wd 4819\"")
  list(APPEND CUDA_NVCC_FLAGS  "--compiler-options;/bigobj")
  if(CMAKE_BUILD_TYPE  STREQUAL "Debug")
    list(APPEND CUDA_NVCC_FLAGS  "-g -G")
    # match the cl's _ITERATOR_DEBUG_LEVEL
    list(APPEND CUDA_NVCC_FLAGS  "-D_DEBUG")
  elseif(CMAKE_BUILD_TYPE STREQUAL "Release")
    list(APPEND CUDA_NVCC_FLAGS "-O3 -DNDEBUG")
  else()
  message(FATAL "Windows only support Release or Debug build now. Please set visual studio build type to Release/Debug, x64 build.")
endif()
endif(NOT WIN32)

mark_as_advanced(CUDA_BUILD_CUBIN CUDA_BUILD_EMULATION CUDA_VERBOSE_BUILD)
mark_as_advanced(CUDA_SDK_ROOT_DIR CUDA_SEPARABLE_COMPILATION)