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MegEngine/scripts/whl/manylinux2014/build_image.sh

build_image.sh 244 B
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build(cuda): support cu111 build GitOrigin-RevId: b3067ba4d5f1225048838e4b2460d858c475b75e
4 years ago
​
feat(aarch64/whl): support aarch64 whl GitOrigin-RevId: 656a27d62be10321250652904c544fac32504e7c
4 years ago
​
​
build(cuda): support cu111 build GitOrigin-RevId: b3067ba4d5f1225048838e4b2460d858c475b75e
4 years ago
feat(aarch64/whl): support aarch64 whl GitOrigin-RevId: 656a27d62be10321250652904c544fac32504e7c
4 years ago
​
​
 123456789 
  1. #!/bin/bash -e

  2. 

  3. SRC_DIR=$(readlink -f "`dirname $0`/../../../")

  4. source ${SRC_DIR}/scripts/whl/utils/utils.sh

  5. config_docker_file

  6. 

  7. cd $(dirname $0)

  8. echo "docker_file is ${docker_file}"

  9. docker build -t env_manylinux2014:latest -f ${docker_file} .

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