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build_wheel_common.sh 7.6 kB

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  1. #!/bin/bash
  2. set -e
  3. CWD=$(dirname $0)
  4. BASEDIR=$(readlink -f ${CWD}/../../..)
  5. OUTPUTDIR=$(readlink -f ${CWD}/output)
  6. USERID=$(id -u)
  7. TMPFS_ARGS="--tmpfs /tmp:exec"
  8. local_path=$(dirname $(readlink -f $0))
  9. CUDNN_LIB_DIR="/opt/cudnn/lib64/"
  10. CUDA_LIB_DIR="/usr/local/cuda/lib64/"
  11. CUDA_SDK="unknown"
  12. function usage() {
  13. echo "use '-sdk cu111' to specify cuda toolkit config, also support cu101, cu112"
  14. }
  15. while [ "$1" != "" ]; do
  16. case $1 in
  17. -sdk)
  18. shift
  19. CUDA_SDK=$1
  20. shift
  21. ;;
  22. *)
  23. usage
  24. exit 1
  25. esac
  26. done
  27. echo "Build with ${CUDA_SDK}"
  28. if [ $CUDA_SDK == "cu101" ];then
  29. COPY_LIB_LIST="${CUDA_LIB_DIR}/libnvrtc.so.10.1"
  30. EXTRA_CMAKE_FLAG=" -DMGE_WITH_CUDNN_SHARED=OFF"
  31. OUT_DIR="cu101"
  32. BUILD_GCC8="ON"
  33. REQUIR_CUDA_VERSION="10010"
  34. REQUIR_CUDNN_VERSION="7.6.3"
  35. REQUIR_TENSORRT_VERSION="6.0.1.5"
  36. elif [ $CUDA_SDK == "cu111" ];then
  37. COPY_LIB_LIST="\
  38. ${CUDA_LIB_DIR}/libnvrtc.so.11.1:\
  39. ${CUDA_LIB_DIR}/libcublasLt.so.11:\
  40. ${CUDA_LIB_DIR}/libcublas.so.11:\
  41. ${CUDNN_LIB_DIR}/libcudnn_adv_infer.so.8:\
  42. ${CUDNN_LIB_DIR}/libcudnn_adv_train.so.8:\
  43. ${CUDNN_LIB_DIR}/libcudnn_cnn_infer.so.8:\
  44. ${CUDNN_LIB_DIR}/libcudnn_cnn_train.so.8:\
  45. ${CUDNN_LIB_DIR}/libcudnn_ops_infer.so.8:\
  46. ${CUDNN_LIB_DIR}/libcudnn_ops_train.so.8:\
  47. ${CUDNN_LIB_DIR}/libcudnn.so.8"
  48. EXTRA_CMAKE_FLAG=" -DMGE_WITH_CUDNN_SHARED=ON\
  49. -gencode arch=compute_61,code=sm_61 \
  50. arch=compute_70,code=sm_70 \
  51. arch=compute_75,code=sm_75 \
  52. arch=compute_80,code=sm_80 \
  53. arch=compute_86,code=sm_86 \
  54. arch=compute_86,code=compute_86"
  55. OUT_DIR="cu111"
  56. REQUIR_CUDA_VERSION="11010"
  57. REQUIR_CUDNN_VERSION="8.0.5"
  58. REQUIR_TENSORRT_VERSION="7.2.2.3"
  59. elif [ $CUDA_SDK == "cu112" ];then
  60. COPY_LIB_LIST="\
  61. ${CUDA_LIB_DIR}/libnvrtc.so.11.2:\
  62. ${CUDA_LIB_DIR}/libcublasLt.so.11:\
  63. ${CUDA_LIB_DIR}/libcublas.so.11:\
  64. ${CUDNN_LIB_DIR}/libcudnn_adv_infer.so.8:\
  65. ${CUDNN_LIB_DIR}/libcudnn_adv_train.so.8:\
  66. ${CUDNN_LIB_DIR}/libcudnn_cnn_infer.so.8:\
  67. ${CUDNN_LIB_DIR}/libcudnn_cnn_train.so.8:\
  68. ${CUDNN_LIB_DIR}/libcudnn_ops_infer.so.8:\
  69. ${CUDNN_LIB_DIR}/libcudnn_ops_train.so.8:\
  70. ${CUDNN_LIB_DIR}/libcudnn.so.8"
  71. EXTRA_CMAKE_FLAG=" -DMGE_WITH_CUDNN_SHARED=ON \
  72. -gencode arch=compute_61,code=sm_61 \
  73. arch=compute_70,code=sm_70 \
  74. arch=compute_75,code=sm_75 \
  75. arch=compute_80,code=sm_80 \
  76. arch=compute_86,code=sm_86 \
  77. arch=compute_86,code=compute_86"
  78. OUT_DIR="cu112"
  79. REQUIR_CUDA_VERSION="11020"
  80. REQUIR_CUDNN_VERSION="8.0.5"
  81. REQUIR_TENSORRT_VERSION="7.2.2.3"
  82. else
  83. echo "no support sdk ${CUDA_SDK}, please set by '-sdk cu111'"
  84. exit -1
  85. fi
  86. BUILD_WHL_CPU_ONLY=${BUILD_WHL_CPU_ONLY}
  87. if [[ -z ${BUILD_WHL_CPU_ONLY} ]]
  88. then
  89. BUILD_WHL_CPU_ONLY="OFF"
  90. fi
  91. echo ${BASEDIR}
  92. pushd ${BASEDIR}/third_party >/dev/null
  93. ./prepare.sh
  94. popd >/dev/null
  95. cd ${CWD}
  96. mkdir -p ${OUTPUTDIR}
  97. if [ ${BUILD_WHL_CPU_ONLY} = "OFF" ]; then
  98. if [[ -z ${CUDA_ROOT_DIR} ]]; then
  99. echo "Environment variable CUDA_ROOT_DIR not set."
  100. exit -1
  101. fi
  102. if [[ -z ${CUDNN_ROOT_DIR} ]]; then
  103. echo "Environment variable CUDNN_ROOT_DIR not set."
  104. exit -1
  105. fi
  106. if [[ -z ${TENSORRT_ROOT_DIR} ]]; then
  107. echo "Environment variable TENSORRT_ROOT_DIR not set."
  108. exit -1
  109. fi
  110. ## YOU SHOULD MODIFY CUDA VERSION AS BELOW WHEN UPGRADE
  111. CUDA_ROOT_DIR_=${CUDA_ROOT_DIR%*/}
  112. CUDNN_ROOT_DIR_=${CUDNN_ROOT_DIR%*/}
  113. TENSORRT_ROOT_DIR_=${TENSORRT_ROOT_DIR%*/}
  114. CUDA_VERSION_PATH=${CUDA_ROOT_DIR_}/include/cuda.h
  115. if [ "$REQUIR_CUDA_VERSION" -ge "11000" ];then
  116. CUDNN_VERSION_PATH=${CUDNN_ROOT_DIR_}/include/cudnn_version.h
  117. else
  118. CUDNN_VERSION_PATH=${CUDNN_ROOT_DIR_}/include/cudnn.h
  119. fi
  120. TENSORRT_VERSION_PATH=${TENSORRT_ROOT_DIR_}/include/NvInferVersion.h
  121. if [ ! -e $CUDA_VERSION_PATH ] ; then
  122. echo file $CUDA_VERSION_PATH is not exist
  123. echo please check the Environment must use CUDA-$REQUIR_CUDA_VERSION
  124. exit -1
  125. fi
  126. if [ ! -e $CUDNN_VERSION_PATH ] ; then
  127. echo file $CUDNN_VERSION_PATH is not exist
  128. echo please check the Environment must use CUDNN-V$REQUIR_CUDNN_VERSION
  129. exit -1
  130. fi
  131. if [ ! -e $TENSORRT_VERSION_PATH ] ; then
  132. echo file $TENSORRT_VERSION_PATH is not exist
  133. echo please check the Environment must use TensorRT-$REQUIR_TENSORRT_VERSION
  134. exit -1
  135. fi
  136. CUDA_VERSION_CONTEXT=$(head -300 ${CUDA_VERSION_PATH})
  137. CUDNN_VERSION_CONTEXT=$(head -62 ${CUDNN_VERSION_PATH})
  138. TENSORRT_VERSION_CONTEXT=$(tail -12 ${TENSORRT_VERSION_PATH})
  139. if [ "$REQUIR_CUDA_VERSION" -ge "11000" ];then
  140. CUDA_API_VERSION=$(echo $CUDA_VERSION_CONTEXT | grep -Eo "define CUDA_VERSION * +([0-9]+)")
  141. else
  142. CUDA_API_VERSION=$(echo $CUDA_VERSION_CONTEXT | grep -Eo "define __CUDA_API_VERSION * +([0-9]+)")
  143. fi
  144. CUDA_VERSION=${CUDA_API_VERSION:0-5}
  145. echo CUDA_VERSION:$CUDA_VERSION
  146. CUDNN_VERSION_MAJOR=$(echo $CUDNN_VERSION_CONTEXT | grep -Eo "define CUDNN_MAJOR * +([0-9]+)")
  147. CUDNN_VERSION_MINOR=$(echo $CUDNN_VERSION_CONTEXT | grep -Eo "define CUDNN_MINOR * +([0-9]+)")
  148. CUDNN_VERSION_PATCH=$(echo $CUDNN_VERSION_CONTEXT | grep -Eo "define CUDNN_PATCHLEVEL * +([0-9]+)")
  149. CUDNN_VERSION=${CUDNN_VERSION_MAJOR:0-1}.${CUDNN_VERSION_MINOR:0-1}.${CUDNN_VERSION_PATCH:0-1}
  150. echo CUDNN_VERSION:$CUDNN_VERSION
  151. TENSORRT_VERSION_MAJOR=$(echo $TENSORRT_VERSION_CONTEXT | grep -Eo "NV_TENSORRT_MAJOR * +([0-9]+)")
  152. TENSORRT_VERSION_MINOR=$(echo $TENSORRT_VERSION_CONTEXT | grep -Eo "NV_TENSORRT_MINOR * +([0-9]+)")
  153. TENSORRT_VERSION_PATCH=$(echo $TENSORRT_VERSION_CONTEXT | grep -Eo "NV_TENSORRT_PATCH * +([0-9]+)")
  154. TENSORRT_VERSION_BUILD=$(echo $TENSORRT_VERSION_CONTEXT | grep -Eo "NV_TENSORRT_BUILD * +([0-9]+)")
  155. TENSORRT_VERSION=${TENSORRT_VERSION_MAJOR:0-1}.${TENSORRT_VERSION_MINOR:0-1}.${TENSORRT_VERSION_PATCH:0-1}.${TENSORRT_VERSION_BUILD:0-1}
  156. echo TENSORRT_VERSION:$TENSORRT_VERSION
  157. if [ $CUDA_VERSION != $REQUIR_CUDA_VERSION ] ; then
  158. echo please check the Environment must use CUDA-10.1 NO.$REQUIR_CUDA_VERSION
  159. exit -1
  160. fi
  161. if [ $CUDNN_VERSION != $REQUIR_CUDNN_VERSION ] ; then
  162. echo please check the Environment must use CUDNN-V$REQUIR_CUDNN_VERSION
  163. exit -1
  164. fi
  165. if [ $TENSORRT_VERSION != $REQUIR_TENSORRT_VERSION ] ; then
  166. echo please check the Environment must use TENSORRT-$REQUIR_TENSORRT_VERSION
  167. exit -1
  168. fi
  169. fi
  170. if [[ -z ${BUILD_GCC8} ]];then
  171. BUILD_GCC8=OFF
  172. fi
  173. if [ "$BUILD_GCC8" == "ON" ];then
  174. run_cmd="scl enable devtoolset-8 /home/code/scripts/whl/manylinux2014/do_build_common.sh"
  175. else
  176. run_cmd="/home/code/scripts/whl/manylinux2014/do_build_common.sh"
  177. fi
  178. docker run --rm -it $TMPFS_ARGS \
  179. -e UID=${USERID} \
  180. -e LOCAL_VERSION=${LOCAL_VERSION} \
  181. -e BUILD_WHL_CPU_ONLY=${BUILD_WHL_CPU_ONLY} \
  182. -e ALL_PYTHON="${ALL_PYTHON}" \
  183. -e EXTRA_CMAKE_FLAG="$EXTRA_CMAKE_FLAG" \
  184. -e COPY_LIB_LIST="$COPY_LIB_LIST" \
  185. -e OUT_DIR="$OUT_DIR" \
  186. -v ${CUDA_ROOT_DIR}:/usr/local/cuda \
  187. -v ${CUDNN_ROOT_DIR}:/opt/cudnn \
  188. -v ${TENSORRT_ROOT_DIR}:/opt/tensorrt \
  189. -v ${BASEDIR}:/home/code \
  190. -v ${OUTPUTDIR}:/home/output:rw \
  191. env_manylinux2014:latest /bin/bash -c "$run_cmd"

MegEngine 安装包中集成了使用 GPU 运行代码所需的 CUDA 环境,不用区分 CPU 和 GPU 版。 如果想要运行 GPU 程序,请确保机器本身配有 GPU 硬件设备并安装好驱动。 如果你想体验在云端 GPU 算力平台进行深度学习开发的感觉,欢迎访问 MegStudio 平台