在PAI-DLC中创建深度学习任务时,您需要配置工作节点的镜像,系统支持公共镜像和自定义镜像。本文介绍系统支持的公共镜像(社区镜像和官方镜像)及镜像版本详情,您可以根据实际情况选择合适的镜像。

背景信息

社区镜像(由社区提供的标准镜像)

社区镜像支持不同的资源类型,具体的镜像文件列表如下。每种镜像的操作系统、CUDA版本及三方库信息请参见社区镜像版本详情
registry.${region}.aliyuncs.com/pai-dlc/pytorch-training:1.6.0-gpu-py37-cu101-ubuntu18.04
registry.${region}.aliyuncs.com/pai-dlc/pytorch-training:1.7.1-gpu-py37-cu110-ubuntu18.04
registry.${region}.aliyuncs.com/pai-dlc/tensorflow-training:2.3.0-cpu-py36-ubuntu18.04
registry.${region}.aliyuncs.com/pai-dlc/tensorflow-training:2.3.0-gpu-py36-cu101-ubuntu18.04
registry.${region}.aliyuncs.com/pai-dlc/tensorflow-training:1.15.4-cpu-py36-ubuntu18.04
registry.${region}.aliyuncs.com/pai-dlc/tensorflow-training:1.15.4-gpu-py36-cu100-ubuntu18.04
其中${region}需要替换为具体的地域,包括如下取值:
  • cn-hangzhou
  • cn-shanghai
  • cn-qingdao
  • cn-beijing
  • cn-zhangjiakou
  • cn-huhehaote
  • cn-shenzhen
  • cn-chengdu
  • cn-hongkong
  • ap-southeast-1
例如${region}取值为cn-hangzhou时,社区提供的镜像如下表所示。
${region} 框架 CPU/GPU Python版本 镜像的URL
cn-hangzhou Tensorflow 2.3 CPU 3.6(py36)
  • registry.cn-hangzhou.aliyuncs.com/pai-dlc/tensorflow-training:2.3.0-cpu-py36-ubuntu18.04
  • registry-vpc.cn-hangzhou.aliyuncs.com/pai-dlc/tensorflow-training:2.3.0-cpu-py36-ubuntu18.04
Tensorflow 2.3 GPU 3.6 (py36)
  • registry.cn-hangzhou.aliyuncs.com/pai-dlc/tensorflow-training:2.3.0-gpu-py36-cu101-ubuntu18.04
  • registry-vpc.cn-hangzhou.aliyuncs.com/pai-dlc/tensorflow-training:2.3.0-gpu-py36-cu101-ubuntu18.04
Tensorflow 1.15 CPU 3.6(py36)
  • registry.cn-hangzhou.aliyuncs.com/pai-dlc/tensorflow-training:1.15.4-cpu-py36-ubuntu18.04
  • registry-vpc.cn-hangzhou.aliyuncs.com/pai-dlc/tensorflow-training:1.15.4-cpu-py36-ubuntu18.04
Tensorflow 1.15 GPU 3.6 (py36)
  • registry.cn-hangzhou.aliyuncs.com/pai-dlc/tensorflow-training:1.15.4-gpu-py36-cu100-ubuntu18.04
  • registry-vpc.cn-hangzhou.aliyuncs.com/pai-dlc/tensorflow-training:1.15.4-gpu-py36-cu100-ubuntu18.04
PyTorch 1.6 GPU 3.7 (py37)
  • registry.cn-hangzhou.aliyuncs.com/pai-dlc/pytorch-training:1.6.0-gpu-py37-cu101-ubuntu18.04
  • registry-vpc.cn-hangzhou.aliyuncs.com/pai-dlc/pytorch-training:1.6.0-gpu-py37-cu101-ubuntu18.04
PyTorch 1.7 GPU 3.7 (py37)
  • registry.cn-hangzhou.aliyuncs.com/pai-dlc/pytorch-training:1.7.1-gpu-py37-cu110-ubuntu18.04
  • registry-vpc.cn-hangzhou.aliyuncs.com/pai-dlc/pytorch-training:1.7.1-gpu-py37-cu110-ubuntu18.04

官方镜像(由PAI团队提供优化的镜像)

PAI-DLC提供了多种官方镜像,支持不同的资源类型、Python版本及深度学习框架TensorFlow和PyTorch。官方公共镜像文件列表如下,关于每种镜像的操作系统、CUDA版本及三方库信息请参见官方镜像版本详情
registry.${region}.aliyuncs.com/pai-dlc/tensorflow-training:1.12.2PAI-cpu-py27-ubuntu16.04
registry.${region}.aliyuncs.com/pai-dlc/tensorflow-training:1.12.2PAI-mkl-cpu-py27-ubuntu16.04
registry.${region}.aliyuncs.com/pai-dlc/tensorflow-training:1.12.2PAI-gpu-py27-cu100-ubuntu16.04

registry.${region}.aliyuncs.com/pai-dlc/tensorflow-training:1.12.2PAI-cpu-py36-ubuntu16.04
registry.${region}.aliyuncs.com/pai-dlc/tensorflow-training:1.12.2PAI-mkl-cpu-py36-ubuntu16.04
registry.${region}.aliyuncs.com/pai-dlc/tensorflow-training:1.12.2PAI-gpu-py36-cu100-ubuntu16.04

registry.${region}.aliyuncs.com/pai-dlc/tensorflow-training:1.15.0PAI-gpu-py27-cu100-ubuntu16.04
registry.${region}.aliyuncs.com/pai-dlc/tensorflow-training:1.15.0PAI-gpu-py36-cu100-ubuntu16.04

registry.${region}.aliyuncs.com/pai-dlc/pytorch-training:1.3.1PAI-gpu-py37-cu100-ubuntu16.04
registry.${region}.aliyuncs.com/pai-dlc/pytorch-training:1.4.0PAI-gpu-py37-cu100-ubuntu16.04
registry.${region}.aliyuncs.com/pai-dlc/pytorch-training:1.5.1PAI-gpu-py37-cu100-ubuntu16.04
registry.${region}.aliyuncs.com/pai-dlc/pytorch-training:1.6.0PAI-gpu-py37-cu100-ubuntu16.04

registry.${region}.aliyuncs.com/pai-dlc/tensorflow-training:1.12.2PAI-cpu-py27-ubuntu18.04
registry.${region}.aliyuncs.com/pai-dlc/tensorflow-training:1.12.2PAI-gpu-py27-cu101-ubuntu18.04
registry.${region}.aliyuncs.com/pai-dlc/tensorflow-training:1.12.2PAI-cpu-py36-ubuntu18.04
registry.${region}.aliyuncs.com/pai-dlc/tensorflow-training:1.12.2PAI-gpu-py36-cu101-ubuntu18.04
registry.${region}.aliyuncs.com/pai-dlc/tensorflow-training:1.15.4PAI-cpu-py36-ubuntu18.04
registry.${region}.aliyuncs.com/pai-dlc/tensorflow-training:1.15.4PAI-gpu-py36-cu101-ubuntu18.04
其中${region}需要替换为具体的地域,包括如下取值:
  • cn-hangzhou
  • cn-shanghai
  • cn-qingdao
  • cn-beijing
  • cn-zhangjiakou
  • cn-huhehaote
  • cn-shenzhen
  • cn-chengdu
  • cn-hongkong
  • ap-southeast-1
例如${region}取值为cn-hangzhou时,PAI-DLC所有的官方镜像如下表所示。
${region} 框架 CPU/GPU Python版本 镜像的URL
cn-hangzhou TensorFlow 1.12 CPU 2.7(py27)
  • registry.cn-hangzhou.aliyuncs.com/pai-dlc/tensorflow-training:1.12.2PAI-cpu-py27-ubuntu16.04
  • registry-vpc.cn-hangzhou.aliyuncs.com/pai-dlc/tensorflow-training:1.12.2PAI-cpu-py27-ubuntu16.04
  • registry.cn-hangzhou.aliyuncs.com/pai-dlc/tensorflow-training:1.12.2PAI2011-cpu-py27-ubuntu16.04
  • registry-vpc.cn-hangzhou.aliyuncs.com/pai-dlc/tensorflow-training:1.12.2PAI2011-cpu-py27-ubuntu16.04
  • registry.cn-hangzhou.aliyuncs.com/pai-dlc/tensorflow-training:1.12.2PAI-cpu-py27-ubuntu18.04
  • registry-vpc.cn-hangzhou.aliyuncs.com/pai-dlc/tensorflow-training:1.12.2PAI-cpu-py27-ubuntu18.04
MKL-CPU 2.7(py27)
  • registry.cn-hangzhou.aliyuncs.com/pai-dlc/tensorflow-training:1.12.2PAI-mkl-cpu-py27-ubuntu16.04
  • registry-vpc.cn-hangzhou.aliyuncs.com/pai-dlc/tensorflow-training:1.12.2PAI-mkl-cpu-py27-ubuntu16.04
  • registry.cn-hangzhou.aliyuncs.com/pai-dlc/tensorflow-training:1.12.2PAI2011-mkl-cpu-py27-ubuntu16.04
  • registry-vpc.cn-hangzhou.aliyuncs.com/pai-dlc/tensorflow-training:1.12.2PAI2011-mkl-cpu-py27-ubuntu16.04
GPU 2.7(py27)
  • registry.cn-hangzhou.aliyuncs.com/pai-dlc/tensorflow-training:1.12.2PAI-gpu-py27-cu100-ubuntu16.04
  • registry-vpc.cn-hangzhou.aliyuncs.com/pai-dlc/tensorflow-training:1.12.2PAI-gpu-py27-cu100-ubuntu16.04
  • registry.cn-hangzhou.aliyuncs.com/pai-dlc/tensorflow-training:1.12.2PAI2011-gpu-py27-cu100-ubuntu16.04
  • registry-vpc.cn-hangzhou.aliyuncs.com/pai-dlc/tensorflow-training:1.12.2PAI-gpu-py27-cu100-ubuntu16.04
  • registry.cn-hangzhou.aliyuncs.com/pai-dlc/tensorflow-training:1.12.2PAI-gpu-py27-cu101-ubuntu18.04
  • registry-vpc.cn-hangzhou.aliyuncs.com/pai-dlc/tensorflow-training:1.12.2PAI-gpu-py27-cu101-ubuntu18.04
CPU 3.6 (py36)
  • registry.cn-hangzhou.aliyuncs.com/pai-dlc/tensorflow-training:1.12.2PAI-cpu-py36-ubuntu16.04
  • registry-vpc.cn-hangzhou.aliyuncs.com/pai-dlc/tensorflow-training:1.12.2PAI-cpu-py36-ubuntu16.04
  • registry.cn-hangzhou.aliyuncs.com/pai-dlc/tensorflow-training:1.12.2PAI2011-cpu-py36-ubuntu16.04
  • registry-vpc.cn-hangzhou.aliyuncs.com/pai-dlc/tensorflow-training:1.12.2PAI2011-cpu-py36-ubuntu16.04
  • registry.cn-hangzhou.aliyuncs.com/pai-dlc/tensorflow-training:1.12.2PAI-cpu-py36-ubuntu18.04
  • registry-vpc.cn-hangzhou.aliyuncs.com/pai-dlc/tensorflow-training:1.12.2PAI-cpu-py36-ubuntu18.04
MKL-CPU 3.6 (py36)
  • registry.cn-hangzhou.aliyuncs.com/pai-dlc/tensorflow-training:1.12.2PAI-mkl-cpu-py36-ubuntu16.04
  • registry-vpc.cn-hangzhou.aliyuncs.com/pai-dlc/tensorflow-training:1.12.2PAI-mkl-cpu-py36-ubuntu16.04
  • registry.cn-hangzhou.aliyuncs.com/pai-dlc/tensorflow-training:1.12.2PAI2011-mkl-cpu-py36-ubuntu16.04
  • registry-vpc.cn-hangzhou.aliyuncs.com/pai-dlc/tensorflow-training:1.12.2PAI2011-mkl-cpu-py36-ubuntu16.04
GPU 3.6 (py36)
  • registry.cn-hangzhou.aliyuncs.com/pai-dlc/tensorflow-training:1.12.2PAI-gpu-py36-cu100-ubuntu16.04
  • registry-vpc.cn-hangzhou.aliyuncs.com/pai-dlc/tensorflow-training:1.12.2PAI-gpu-py36-cu100-ubuntu16.04
  • registry.cn-hangzhou.aliyuncs.com/pai-dlc/tensorflow-training:1.12.2PAI2011-gpu-py36-cu100-ubuntu16.04
  • registry-vpc.cn-hangzhou.aliyuncs.com/pai-dlc/tensorflow-training:1.12.2PAI2011-gpu-py36-cu100-ubuntu16.04
  • registry.cn-hangzhou.aliyuncs.com/pai-dlc/tensorflow-training:1.12.2PAI-gpu-py36-cu101-ubuntu18.04
  • registry-vpc.cn-hangzhou.aliyuncs.com/pai-dlc/tensorflow-training:1.12.2PAI-gpu-py36-cu101-ubuntu18.04
TensorFlow 1.15 GPU 2.7 (py27)
  • registry.cn-hangzhou.aliyuncs.com/pai-dlc/tensorflow-training:1.15.0PAI-gpu-py27-cu100-ubuntu16.04
  • registry-vpc.cn-hangzhou.aliyuncs.com/pai-dlc/tensorflow-training:1.15.0PAI-gpu-py27-cu100-ubuntu16.04
  • registry.cn-hangzhou.aliyuncs.com/pai-dlc/tensorflow-training:1.15.0PAI2011-gpu-py27-cu100-ubuntu16.04
  • registry-vpc.cn-hangzhou.aliyuncs.com/pai-dlc/tensorflow-training:1.15.0PAI2011-gpu-py27-cu100-ubuntu16.04
CPU 3.6 (py36)
  • registry.cn-hangzhou.aliyuncs.com/pai-dlc/tensorflow-training:1.15.4PAI-cpu-py36-ubuntu18.04
  • registry-vpc.cn-hangzhou.aliyuncs.com/pai-dlc/tensorflow-training:1.15.4PAI-cpu-py36-ubuntu18.04
GPU 3.6 (py36)
  • registry.cn-hangzhou.aliyuncs.com/pai-dlc/tensorflow-training:1.15.0PAI-gpu-py36-cu100-ubuntu16.04
  • registry-vpc.cn-hangzhou.aliyuncs.com/pai-dlc/tensorflow-training:1.15.0PAI-gpu-py36-cu100-ubuntu16.04
  • registry.cn-hangzhou.aliyuncs.com/pai-dlc/tensorflow-training:1.15.0PAI2011-gpu-py36-cu100-ubuntu16.04
  • registry-vpc.cn-hangzhou.aliyuncs.com/pai-dlc/tensorflow-training:1.15.0PAI2011-gpu-py36-cu100-ubuntu16.04
  • registry.cn-hangzhou.aliyuncs.com/pai-dlc/tensorflow-training:1.15.4PAI-gpu-py36-cu101-ubuntu18.04
  • registry-vpc.cn-hangzhou.aliyuncs.com/pai-dlc/tensorflow-training:1.15.4PAI-gpu-py36-cu101-ubuntu18.04
PyTorch 1.3 GPU 3.7 (py37)
  • registry.cn-hangzhou.aliyuncs.com/pai-dlc/pytorch-training:1.3.1PAI-gpu-py37-cu100-ubuntu16.04
  • registry-vpc.cn-hangzhou.aliyuncs.com/pai-dlc/pytorch-training:1.3.1PAI-gpu-py37-cu100-ubuntu16.04
  • registry.cn-hangzhou.aliyuncs.com/pai-dlc/pytorch-training:1.3.1PAI2011-gpu-py37-cu100-ubuntu16.04
  • registry-vpc.cn-hangzhou.aliyuncs.com/pai-dlc/pytorch-training:1.3.1PAI2011-gpu-py37-cu100-ubuntu16.04
PyTorch 1.4 GPU 3.7 (py37)
  • registry.cn-hangzhou.aliyuncs.com/pai-dlc/pytorch-training:1.4.0PAI-gpu-py37-cu100-ubuntu16.04
  • registry-vpc.cn-hangzhou.aliyuncs.com/pai-dlc/pytorch-training:1.4.0PAI-gpu-py37-cu100-ubuntu16.04
  • registry.cn-hangzhou.aliyuncs.com/pai-dlc/pytorch-training:1.4.0PAI2011-gpu-py37-cu100-ubuntu16.04
  • registry-vpc.cn-hangzhou.aliyuncs.com/pai-dlc/pytorch-training:1.4.0PAI2011-gpu-py37-cu100-ubuntu16.04
PyTorch 1.5 GPU 3.7 (py37)
  • registry.cn-hangzhou.aliyuncs.com/pai-dlc/pytorch-training:1.5.1PAI-gpu-py37-cu100-ubuntu16.04
  • registry-vpc.cn-hangzhou.aliyuncs.com/pai-dlc/pytorch-training:1.5.1PAI-gpu-py37-cu100-ubuntu16.04
  • registry.cn-hangzhou.aliyuncs.com/pai-dlc/pytorch-training:1.5.1PAI2011-gpu-py37-cu100-ubuntu16.04
  • registry-vpc.cn-hangzhou.aliyuncs.com/pai-dlc/pytorch-training:1.5.1PAI2011-gpu-py37-cu100-ubuntu16.04
PyTorch 1.6 GPU 3.7 (py37)
  • registry.cn-hangzhou.aliyuncs.com/pai-dlc/pytorch-training:1.6.0PAI-gpu-py37-cu100-ubuntu16.04
  • registry-vpc.cn-hangzhou.aliyuncs.com/pai-dlc/pytorch-training:1.6.0PAI-gpu-py37-cu100-ubuntu16.04
  • registry.cn-hangzhou.aliyuncs.com/pai-dlc/pytorch-training:1.6.0PAI2011-gpu-py37-cu100-ubuntu16.04
  • registry-vpc.cn-hangzhou.aliyuncs.com/pai-dlc/pytorch-training:1.6.0PAI2011-gpu-py37-cu100-ubuntu16.04

社区镜像版本详情

每个社区镜像(由社区提供的标准镜像)支持的操作系统、Python版本及三方库列表如下:
  • tensorflow-training:2.3-cpu-py36-ubuntu18.04
    • 操作系统:Ubuntu 18.04.5 LTS
    • Python版本:3.6.9
    • 三方库:三方库列表及版本信息如下表所示。
      三方库及版本
      absl-py 0.11.0 asn1crypto 0.24.0 astunparse 1.6.3 cachetools 4.2.0
      certifi 2020.12.5 chardet 4.0.0 cryptography 2.1.4 gast 0.3.3
      google-auth 1.24.0 google-auth-oauthlib 0.4.2 google-pasta 0.2.0 grpcio 1.34.0
      h5py 2.10.0 idna 2.6 importlib-metadata 3.3.0 Keras-Preprocessing 1.1.2
      keyring 10.6.0 keyrings.alt 3.0 Markdown 3.3.3 numpy 1.18.5
      oauthlib 3.1.0 opt-einsum 3.3.0 pip 20.2.4 protobuf 3.14.0
      pyasn1 0.4.8 pyasn1-modules 0.2.8 pycrypto 2.6.1 pygobject 3.26.1
      pyxdg 0.25 requests 2.25.1 requests-oauthlib 1.3.0 rsa 4.6
      SecretStorage 2.3.1 setuptools 51.1.1 six 1.15.0 tensorboard 2.4.0
      tensorboard-plugin-wit 1.7.0 tensorflow 2.3.2 tensorflow-estimator 2.3.0 termcolor 1.1.0
      typing-extensions 3.7.4.3 urllib3 1.26.2 werkzeug 1.0.1 wheel 0.30.0
      wrapt 1.12.1 zipp 3.4.0
  • tensorflow-training:2.3-gpu-py36-cu101-ubuntu18.04
    • 操作系统:Ubuntu 18.04.5 LTS
    • Python版本:3.6.9
    • CUDA版本:10.1
    • 三方库:三方库列表及版本信息如下表所示。
      三方库及版本
      absl-py 0.11.0 asn1crypto 0.24.0 astunparse 1.6.3 cachetools 4.2.0
      certifi 2020.12.5 chardet 4.0.0 cryptography 2.1.4 gast 0.3.3
      google-auth 1.24.0 google-auth-oauthlib 0.4.2 google-pasta 0.2.0 grpcio 1.34.0
      h5py 2.10.0 idna 2.6 importlib-metadata 3.3.0 Keras-Preprocessing 1.1.2
      keyring 10.6.0 keyrings.alt 3.0 Markdown 3.3.3 numpy 1.18.5
      oauthlib 3.1.0 opt-einsum 3.3.0 pip 20.2.4 protobuf 3.14.0
      pyasn1 0.4.8 pyasn1-modules 0.2.8 pycrypto 2.6.1 pygobject 3.26.1
      pyxdg 0.25 requests 2.25.1 requests-oauthlib 1.3.0 rsa 4.6
      SecretStorage 2.3.1 setuptools 51.1.1 six 1.15.0 tensorboard 2.4.0
      tensorboard-plugin-wit 1.7.0 tensorflow-gpu 2.3.2 tensorflow-estimator 2.3.0 termcolor 1.1.0
      typing-extensions 3.7.4.3 urllib3 1.26.2 werkzeug 1.0.1 wheel 0.30.0
      wrapt 1.12.1 zipp 3.4.0 python-apt 1.6.5+ubuntu0.5
  • tensorflow-training:1.15-cpu-py36-ubuntu18.04
    • 操作系统:Ubuntu 18.04.5 LTS
    • Python版本:3.6.9
    • 三方库:三方库列表及版本信息如下表所示。
      三方库及版本
      absl-py 0.11.0 asn1crypto 0.24.0 astor 0.8.1 cryptography 2.1.4
      gast 0.2.2 google-pasta 0.2.0 grpcio 1.34.0 h5py 2.10.0
      idna 2.6 importlib-metadata 3.3.0 Keras-Preprocessing 1.1.2 Keras-Applications 1.0.8
      keyring 10.6.0 keyrings.alt 3.0 Markdown 3.3.3 numpy 1.18.5
      opt-einsum 3.3.0 pip 20.3.3 protobuf 3.14.0 pycrypto 2.6.1
      pygobject 3.26.1 pyxdg 0.25 SecretStorage 2.3.1 setuptools 51.1.1
      six 1.11.0 tensorboard 1.15.0 tensorflow 1.15.5 tensorflow-estimator 1.15.1
      termcolor 1.1.0 typing-extensions 3.7.4.3 werkzeug 1.0.1 wheel 0.30.0
      wrapt 1.12.1 zipp 3.4.0
  • tensorflow-training:1.15-gpu-py36-cu100-ubuntu18.04
    • 操作系统:Ubuntu 18.04.5 LTS
    • Python版本:3.6.9
    • CUDA版本:10.0
    • 三方库:三方库列表及版本信息如下表所示。
      三方库及版本
      absl-py 0.11.0 asn1crypto 0.24.0 astor 0.8.1 cryptography 2.1.4
      gast 0.2.2 google-pasta 0.2.0 grpcio 1.34.0 h5py 2.10.0
      idna 2.6 importlib-metadata 3.3.0 Keras-Preprocessing 1.1.2 Keras-Applications 1.0.8
      keyring 10.6.0 keyrings.alt 3.0 Markdown 3.3.3 numpy 1.18.5
      opt-einsum 3.3.0 pip 20.3.3 protobuf 3.14.0 pycrypto 2.6.1
      pygobject 3.26.1 pyxdg 0.25 SecretStorage 2.3.1 setuptools 51.1.1
      six 1.11.0 tensorboard 1.15.0 tensorflow-gpu 1.15.5 tensorflow-estimator 1.15.1
      termcolor 1.1.0 typing-extensions 3.7.4.3 werkzeug 1.0.1 wheel 0.30.0
      wrapt 1.12.1 zipp 3.4.0 python-apt 1.6.5+ubuntu0.5
  • pytorch-training:1.6.0-gpu-py37-cu101-ubuntu18.04
    • 操作系统:Ubuntu 18.04.4 LTS
    • Python版本:3.7.7
    • CUDA版本:10.1
    • 三方库:三方库列表及版本信息如下表所示。
      三方库及版本
      backcall 0.2.0 beautifulsoup4 4.9.1 certifi 2020.6.20 cffi 1.14.0
      chardet 3.0.4 conda 4.8.3 conda-build 3.18.11 conda-package-handling 1.7.0
      cryptography 2.9.2 decorator 4.4.2 filelock 3.0.12 glob2 0.7
      idna 2.9 ipython 7.16.1 ipython-genutils 0.2.0 jedi 0.17.1
      Jinja2 2.11.2 libarchive-c 2.9 MarkupSafe 1.1.1 mkl-fft 1.1.0
      mkl-random 1.1.1 mkl-service 2.3.0 numpy 1.18.5 olefile 0.46
      parso 0.7.0 pexpect 4.8.0 pickleshare 0.7.5 Pillow 7.2.0
      pip 20.0.2 pkginfo 1.5.0.1 prompt-toolkit 3.0.5 psutil 5.7.0
      ptyprocess 0.6.0 pycosat 0.6.3 pycparser 2.20 Pygments 2.6.1
      pyOpenSSL 19.1.0 PySocks 1.7.1 pytz 2020.1 PyYAML 5.3.1
      requests 2.23.0 ruamel-yaml 0.15.87 setuptools 46.4.0.post20200518 six 1.14.0
      soupsieve 2.0.1 torch 1.6.0 torchvision 0.7.0 tqdm 4.46.0
      traitlets 4.3.3 urllib3 1.25.8 wcwidth 0.2.5 wheel 0.34.2
  • pytorch-training:1.7.1-gpu-py37-cu110-ubuntu18.04
    • 操作系统:Ubuntu 18.04.5 LTS
    • Python版本:3.8.5
    • CUDA版本:11.0
    • 三方库:三方库列表及版本信息如下表所示。
      三方库及版本
      backcall 0.2.0 beautifulsoup4 4.9.3 brotlipy 0.7.0 certifi 2020.12.5
      cffi 1.14.3 chardet 3.0.4 conda 4.9.2 conda-build 3.21.4
      conda-package-handling 1.7.2 cryptography 3.2.1 decorator 4.4.2 dnspython 2.1.0
      filelock 3.0.12 glob2 0.7 idna 2.10 ipython 7.19.0
      ipython-genutils 0.2.0 jedi 0.17.2 Jinja2 2.11.2 libarchive-c 2.9
      MarkupSafe 1.1.1 mkl-fft 1.2.0 mkl-random 1.1.1 mkl-service 2.3.0
      numpy 1.19.2 olefile 0.46 parso 0.7.0 pexpect 4.8.0
      pickleshare 0.7.5 Pillow 8.1.0 pip 20.2.4 pkginfo 1.7.0
      prompt-toolkit 3.0.8 psutil 5.7.2 ptyprocess 0.7.0 pycosat 0.6.3
      pycparser 2.20 Pygments 2.7.4 pyOpenSSL 19.1.0 PySocks 1.7.1
      python-etcd 0.4.5 pytz 2020.5 PyYAML 5.3.1 requests 2.24.0
      ruamel-yaml 0.15.87 setuptools 50.3.1.post20201107 six 1.15.0 soupsieve 2.1
      torch 1.7.1 torchelastic 0.2.1 torchvision 0.8.2 tqdm 4.51.0
      traitlets 5.0.5 typing-extensions 3.7.4.3 urllib3 1.25.11 wcwidth 0.2.5
      wheel 0.35.1

官方镜像版本详情

每个官方镜像(由PAI团队提供优化的镜像)支持的操作系统、Python版本及三方库列表如下:
  • tensorflow-training:1.12.2PAI-cpu-py27-ubuntu16.04
    • 操作系统:Ubuntu 16.04.6 LTS
    • Python版本:2.7.18 Anaconda
    • 三方库:三方库列表及版本信息如下表所示。
      三方库及版本
      absl-py 0.11.0 aliyun-python-sdk-core 2.13.15 aliyun-python-sdk-kms 2.14.0 astor 0.8.1
      backports.weakref 1.0.post1 certifi 2020.6.20 crcmod 1.7 Cython 0.29.14
      enum34 1.1.6 funcsigs 1.0.2 futures 3.3.0 gast 0.4.0
      grpcio 1.27.2 h5py 2.10.0 jmespath 0.10.0 Keras-Applications 1.0.8
      Keras-Preprocessing 1.1.2 Markdown 3.1.1 mkl-fft 1.0.15 mkl-random 1.1.0
      mkl-service 2.3.0 mock 3.0.5 numpy 1.16.4 opencv-python 4.2.0.32
      oss2 2.9.1 paiio 0.1.0 pip 9.0.1 protobuf 3.14.0
      pycryptodome 3.9.7 pyodps 0.10.4 pypai 1.1.0+tensorflow.1.12.2pai2011 requests 2.13.0
      setuptools 36.4.0 six 1.15.0 tensorboard 1.12.2 tensorflow 1.12.2PAI2011
      termcolor 1.1.0 toposort 1.5 Werkzeug 1.0.1 wheel 0.35.1
  • tensorflow-training:1.12.2PAI-mkl-cpu-py27-ubuntu16.04
    • 操作系统:Ubuntu 16.04.6 LTS
    • Python版本:2.7.18 Anaconda
    • 三方库:三方库列表及版本信息如下表所示。
      三方库及版本
      absl-py 0.11.0 aliyun-python-sdk-core 2.13.15 aliyun-python-sdk-kms 2.14.0 astor 0.8.1
      backports.weakref 1.0.post1 certifi 2020.6.20 crcmod 1.7 Cython 0.29.14
      enum34 1.1.6 funcsigs 1.0.2 futures 3.3.0 gast 0.4.0
      grpcio 1.27.2 h5py 2.10.0 jmespath 0.10.0 Keras-Applications 1.0.8
      Keras-Preprocessing 1.1.2 Markdown 3.1.1 mkl-fft 1.0.15 mkl-random 1.1.0
      mkl-service 2.3.0 mock 3.0.5 numpy 1.16.4 opencv-python 4.2.0.32
      oss2 2.9.1 paiio 0.1.0 pip 9.0.1 protobuf 3.14.0
      pycryptodome 3.9.7 pyodps 0.10.4 pypai 1.1.0+tensorflow.1.12.2pai2011 requests 2.13.0
      setuptools 36.4.0 six 1.15.0 tensorboard 1.12.2 tensorflow 1.12.2PAI2011
      termcolor 1.1.0 toposort 1.5 Werkzeug 1.0.1 wheel 0.35.1
  • tensorflow-training:1.12.2PAI-gpu-py27-cu100-ubuntu16.04
    • 操作系统:Ubuntu 16.04.6 LTS
    • Python版本:2.7.18 Anaconda
    • CUDA版本:10.0
    • 三方库:三方库列表及版本信息如下表所示。
      三方库及版本
      absl-py 0.11.0 aliyun-python-sdk-core 2.13.15 aliyun-python-sdk-kms 2.14.0 astor 0.8.1
      backports.weakref 1.0.post1 certifi 2020.6.20 crcmod 1.7 Cython 0.29.14
      enum34 1.1.6 funcsigs 1.0.2 futures 3.3.0 gast 0.4.0
      grpcio 1.27.2 h5py 2.10.0 jmespath 0.10.0 Keras-Applications 1.0.8
      Keras-Preprocessing 1.1.2 Markdown 3.1.1 mkl-fft 1.0.15 mkl-random 1.1.0
      mkl-service 2.3.0 mock 3.0.5 numpy 1.16.4 opencv-python 4.2.0.32
      oss2 2.9.1 paiio 0.1.0 pip 9.0.1 protobuf 3.14.0
      pycryptodome 3.9.7 pyodps 0.10.4 pypai 1.1.0+tensorflow.gpu.1.12.2pai2011 requests 2.13.0
      setuptools 36.4.0 six 1.15.0 tensorboard 1.12.2 tensorflow-gpu 1.12.2PAI2011
      termcolor 1.1.0 toposort 1.5 Werkzeug 1.0.1 wheel 0.35.1
      subprocess32 3.5.4 tao-wrapper 0.1.1 whale 0.0.2
  • tensorflow-training:1.12.2PAI-cpu-py36-ubuntu16.04
    • 操作系统:Ubuntu 16.04.6 LTS
    • Python版本:3.6.12 Anaconda
    • 三方库:三方库列表及版本信息如下表所示。
      三方库及版本
      absl-py 0.11.0 aliyun-python-sdk-core 2.13.29 aliyun-python-sdk-core-v3 2.13.11 aliyun-python-sdk-kms 2.14.0
      astor 0.8.1 cached-property 1.5.2 certifi 2020.12.5 crcmod 1.7
      Cython 0.29.21 gast 0.4.0 grpcio 1.31.0 h5py 3.1.0
      importlib-metadata 3.4.0 jmespath 0.10.0 Keras-Applications 1.0.8 Keras-Preprocessing 1.1.2
      Markdown 3.3.3 mkl-fft 1.2.0 mkl-random 1.1.1 mkl-service 2.3.0
      numpy 1.16.4 opencv-python 4.2.0.32 oss2 2.12.1 paiio 0.1.0
      pip 20.2.4 protobuf 3.14.0 pycryptodome 3.9.9 pyodps 0.10.4
      pypai 1.1.0+tensorflow.1.12.2pai2011 requests 2.13.0 setuptools 50.3.1.post20201107 six 1.15.0
      tensorboard 1.12.2 tensorflow 1.12.2PAI2011 termcolor 1.1.0 toposort 1.5
      typing-extensions 3.7.4.3 Werkzeug 1.0.1 wheel 0.35.1 zipp 3.4.0
  • tensorflow-training:1.12.2PAI-mkl-cpu-py36-ubuntu16.04
    • 操作系统:Ubuntu 16.04.6 LTS
    • Python版本:3.6.12 Anaconda
    • 三方库:三方库列表及版本信息如下表所示。
      三方库及版本
      absl-py 0.11.0 aliyun-python-sdk-core 2.13.29 aliyun-python-sdk-core-v3 2.13.11 aliyun-python-sdk-kms 2.14.0
      astor 0.8.1 cached-property 1.5.2 certifi 2020.12.5 crcmod 1.7
      Cython 0.29.21 gast 0.4.0 grpcio 1.31.0 h5py 3.1.0
      importlib-metadata 3.4.0 jmespath 0.10.0 Keras-Applications 1.0.8 Keras-Preprocessing 1.1.2
      Markdown 3.3.3 mkl-fft 1.2.0 mkl-random 1.1.1 mkl-service 2.3.0
      numpy 1.16.4 opencv-python 4.2.0.32 oss2 2.12.1 paiio 0.1.0
      pip 20.2.4 protobuf 3.14.0 pycryptodome 3.9.9 pyodps 0.10.4
      pypai 1.1.0+tensorflow.1.12.2pai2011 requests 2.13.0 setuptools 50.3.1.post20201107 six 1.15.0
      tensorboard 1.12.2 tensorflow 1.12.2PAI2011 termcolor 1.1.0 toposort 1.5
      typing-extensions 3.7.4.3 Werkzeug 1.0.1 wheel 0.35.1 zipp 3.4.0
  • tensorflow-training:1.12.2PAI-gpu-py36-cu100-ubuntu16.04
    • 操作系统:Ubuntu 16.04.6 LTS
    • Python版本:3.6.12 Anaconda
    • CUDA版本:10.0
    • 三方库:三方库列表及版本信息如下表所示。
      三方库及版本
      absl-py 0.11.0 aliyun-python-sdk-core 2.13.29 aliyun-python-sdk-core-v3 2.13.11 aliyun-python-sdk-kms 2.14.0
      astor 0.8.1 cached-property 1.5.2 certifi 2020.12.5 crcmod 1.7
      Cython 0.29.21 gast 0.4.0 grpcio 1.31.0 h5py 3.1.0
      importlib-metadata 3.4.0 jmespath 0.10.0 Keras-Applications 1.0.8 Keras-Preprocessing 1.1.2
      Markdown 3.3.3 mkl-fft 1.2.0 mkl-random 1.1.1 mkl-service 2.3.0
      numpy 1.16.4 opencv-python 4.2.0.32 oss2 2.12.1 paiio 0.1.0
      pip 20.2.4 protobuf 3.14.0 pycryptodome 3.9.9 pyodps 0.10.4
      pypai 1.1.0+tensorflow.gpu.1.12.2pai2011 requests 2.13.0 setuptools 50.3.1.post20201107 six 1.15.0
      tensorboard 1.12.2 tensorflow-gpu 1.12.2PAI2011 termcolor 1.1.0 toposort 1.5
      typing-extensions 3.7.4.3 Werkzeug 1.0.1 wheel 0.35.1 zipp 3.4.0
      subprocess32 3.5.4 tao-wrapper 0.1.1 whale 0.0.2
  • tensorflow-training:1.15.0PAI-gpu-py27-cu100-ubuntu16.04
    • 操作系统:Ubuntu 16.04.6 LTS
    • Python版本:2.7.18 Anaconda
    • CUDA版本:10.0
    • 三方库:三方库列表及版本信息如下表所示。
      三方库及版本
      absl-py 0.11.0 aliyun-python-sdk-core 2.13.15 aliyun-python-sdk-kms 2.14.0 astor 0.8.1
      backports.weakref 1.0.post1 certifi 2020.6.20 crcmod 1.7 Cython 0.29.14
      enum34 1.1.6 funcsigs 1.0.2 functools32 3.2.3.post2 futures 3.3.0
      gast 0.2.2 google-pasta 0.2.0 opt-einsum 2.3.2 tensorflow-estimator 1.15.1
      grpcio 1.27.2 h5py 2.10.0 jmespath 0.10.0 Keras-Applications 1.0.8
      Keras-Preprocessing 1.1.2 Markdown 3.1.1 mkl-fft 1.0.15 mkl-random 1.1.0
      mkl-service 2.3.0 mock 3.0.5 numpy 1.16.4 opencv-python 4.2.0.32
      oss2 2.9.1 paiio 0.1.0 pip 9.0.1 protobuf 3.14.0
      pycryptodome 3.9.7 pyodps 0.10.4 pypai 1.1.0+tensorflow.gpu.1.15.0 requests 2.13.0
      setuptools 44.1.1 six 1.15.0 tensorboard 1.15.0 tensorflow-gpu 1.15.0
      termcolor 1.1.0 toposort 1.5 Werkzeug 1.0.1 wheel 0.35.1
      subprocess32 3.5.4 tao-wrapper 0.1.1 whale 0.0.2 wrapt 1.12.1
  • tensorflow-training:1.15.0PAI-gpu-py36-cu100-ubuntu16.04
    • 操作系统:Ubuntu 16.04.6 LTS
    • Python版本:3.6.12 Anaconda
    • CUDA版本:10.0
    • 三方库:三方库列表及版本信息如下表所示。
      三方库及版本
      absl-py 0.11.0 aliyun-python-sdk-core 2.13.29 aliyun-python-sdk-core-v3 2.13.11 aliyun-python-sdk-kms 2.14.0
      astor 0.8.1 cached-property 1.5.2 certifi 2020.12.5 crcmod 1.7
      Cython 0.29.21 gast 0.2.2 grpcio 1.31.0 h5py 3.1.0
      importlib-metadata 3.4.0 jmespath 0.10.0 Keras-Applications 1.0.8 Keras-Preprocessing 1.1.2
      Markdown 3.3.3 mkl-fft 1.2.0 mkl-random 1.1.1 mkl-service 2.3.0
      numpy 1.16.4 opencv-python 4.2.0.32 oss2 2.12.1 paiio 0.1.0
      pip 20.2.4 protobuf 3.14.0 pycryptodome 3.9.9 pyodps 0.10.4
      pypai 1.1.0+tensorflow.gpu.1.15.0 requests 2.13.0 setuptools 50.3.1.post20201107 six 1.15.0
      tensorboard 1.15.0 tensorflow-gpu 1.15.0 termcolor 1.1.0 toposort 1.5
      typing-extensions 3.7.4.3 Werkzeug 1.0.1 wheel 0.35.1 zipp 3.4.0
      subprocess32 3.5.4 tao-wrapper 0.1.1 whale 0.0.2 google-pasta 0.2.0
      opt-einsum 3.3.0 tensorflow-estimator 1.15.1 wrapt 1.12.1
  • pytorch-training:1.3.1PAI-gpu-py37-cu100-ubuntu16.04
    • 操作系统:Ubuntu 16.04.6 LTS
    • Python版本:3.7.4
    • CUDA版本:10.0
    • 三方库:三方库列表及版本信息如下表所示。
      三方库及版本
      absl-py 0.11.0 aiohttp 3.7.3 apex 0.1 asn1crypto 1.2.0
      async-timeout 3.0.1 attrs 20.3.0 blinker 1.4 cachetools 4.2.0
      certifi 2020.12.5 cffi 1.13.0 chardet 3.0.4 click 7.1.2
      conda 4.9.2 conda-package-handling 1.6.0 cryptography 2.8 future 0.18.2
      google-auth 1.24.0 google-auth-oauthlib 0.4.2 grpcio 1.31.0 idna 2.8
      importlib-metadata 2.0.0 Markdown 3.3.3 mkl-fft 1.2.0 mkl-random 1.1.1
      mkl-service 2.3.0 multidict 4.7.6 numpy 1.19.2 nvidia-dali 0.15.0
      oauthlib 3.1.0 Pillow 8.1.0 pip 20.2.4 protobuf 3.13.0
      pyasn1 0.4.8 pyasn1-modules 0.2.8 pycosat 0.6.3 pycparser 2.19
      PyJWT 2.0.0 pyOpenSSL 19.0.0 PySocks 1.7.1 requests 2.22.0
      requests-oauthlib 1.3.0 rsa 4.7 ruamel-yaml 0.15.46 sailfish 1.0.1
      setuptools 50.3.1.post20201107 six 1.15.0 tensorboard 2.3.0 tensorboard-plugin-wit 1.6.0
      torch 1.3.1+ali torchsummary 1.5.1 torchvision 0.4.2 tqdm 4.36.1
      typing-extensions 3.7.4.3 urllib3 1.24.2 Werkzeug 1.0.1 wheel 0.35.1
      yarl 1.5.1 zipp 3.4.0
  • pytorch-training:1.4.0PAI-gpu-py37-cu100-ubuntu16.04
    • 操作系统:Ubuntu 16.04.6 LTS
    • Python版本:3.7.4
    • CUDA版本:10.0
    • 三方库:三方库列表及版本信息如下表所示。
      三方库及版本
      absl-py 0.11.0 aiohttp 3.7.3 apex 0.1 asn1crypto 1.2.0
      async-timeout 3.0.1 attrs 20.3.0 blinker 1.4 cachetools 4.2.0
      certifi 2020.12.5 cffi 1.13.0 chardet 3.0.4 click 7.1.2
      conda 4.9.2 conda-package-handling 1.6.0 cryptography 2.8 future 0.18.2
      google-auth 1.24.0 google-auth-oauthlib 0.4.2 grpcio 1.31.0 idna 2.8
      importlib-metadata 2.0.0 Markdown 3.3.3 mkl-fft 1.2.0 mkl-random 1.1.1
      mkl-service 2.3.0 multidict 4.7.6 numpy 1.19.2 nvidia-dali 0.15.0
      oauthlib 3.1.0 Pillow 8.1.0 pip 20.2.4 protobuf 3.13.0
      pyasn1 0.4.8 pyasn1-modules 0.2.8 pycosat 0.6.3 pycparser 2.19
      PyJWT 2.0.0 pyOpenSSL 19.0.0 PySocks 1.7.1 requests 2.22.0
      requests-oauthlib 1.3.0 rsa 4.7 ruamel-yaml 0.15.46 setuptools 50.3.1.post20201107
      six 1.15.0 tensorboard 2.3.0 tensorboard-plugin-wit 1.6.0 torch 1.4.0+ali
      torchsummary 1.5.1 torchvision 0.5.0 tqdm 4.36.1 typing-extensions 3.7.4.3
      urllib3 1.24.2 Werkzeug 1.0.1 wheel 0.35.1 yarl 1.5.1
      zipp 3.4.0
  • pytorch-training:1.5.1PAI-gpu-py37-cu100-ubuntu16.04
    • 操作系统:Ubuntu 16.04.6 LTS
    • Python版本:3.7.4
    • CUDA版本:10.0
    • 三方库:三方库列表及版本信息如下表所示。
      三方库及版本
      absl-py 0.11.0 aiohttp 3.7.3 apex 0.1 asn1crypto 1.2.0
      async-timeout 3.0.1 attrs 20.3.0 blinker 1.4 cachetools 4.2.0
      certifi 2020.12.5 cffi 1.13.0 chardet 3.0.4 click 7.1.2
      conda 4.9.2 conda-package-handling 1.6.0 cryptography 2.8 future 0.18.2
      google-auth 1.24.0 google-auth-oauthlib 0.4.2 grpcio 1.31.0 idna 2.8
      importlib-metadata 2.0.0 Markdown 3.3.3 mkl-fft 1.2.0 mkl-random 1.1.1
      mkl-service 2.3.0 multidict 4.7.6 numpy 1.19.2 nvidia-dali 0.15.0
      oauthlib 3.1.0 Pillow 8.1.0 pip 20.2.4 protobuf 3.13.0
      pyasn1 0.4.8 pyasn1-modules 0.2.8 pycosat 0.6.3 pycparser 2.19
      PyJWT 2.0.0 pyOpenSSL 19.0.0 PySocks 1.7.1 requests 2.22.0
      requests-oauthlib 1.3.0 rsa 4.7 ruamel-yaml 0.15.46 sailfish 1.0.1
      setuptools 50.3.1.post20201107 six 1.15.0 tensorboard 2.3.0 tensorboard-plugin-wit 1.6.0
      torch 1.5.1+ali torchsummary 1.5.1 torchvision 0.6.1 tqdm 4.36.1
      typing-extensions 3.7.4.3 urllib3 1.24.2 Werkzeug 1.0.1 wheel 0.35.1
      yarl 1.5.1 zipp 3.4.0
  • pytorch-training:1.6.0PAI-gpu-py37-cu100-ubuntu16.04
    • 操作系统:Ubuntu 16.04.6 LTS
    • Python版本:3.7.4
    • CUDA版本:10.0
    • 三方库:三方库列表及版本信息如下表所示。
      三方库及版本
      absl-py 0.11.0 aiohttp 3.7.3 asn1crypto 1.2.0 async-timeout 3.0.1
      attrs 20.3.0 blinker 1.4 cachetools 4.2.0 certifi 2020.12.5
      cffi 1.13.0 chardet 3.0.4 click 7.1.2 conda 4.9.2
      conda-package-handling 1.6.0 cryptography 2.8 future 0.18.2 google-auth 1.24.0
      google-auth-oauthlib 0.4.2 grpcio 1.31.0 idna 2.8 importlib-metadata 2.0.0
      Markdown 3.3.3 mkl-fft 1.2.0 mkl-random 1.1.1 mkl-service 2.3.0
      multidict 4.7.6 numpy 1.19.2 nvidia-dali 0.15.0 oauthlib 3.1.0
      Pillow 8.1.0 pip 20.2.4 protobuf 3.13.0 pyasn1 0.4.8
      pyasn1-modules 0.2.8 pycosat 0.6.3 pycparser 2.19 PyJWT 2.0.0
      pyOpenSSL 19.0.0 PySocks 1.7.1 requests 2.22.0 requests-oauthlib 1.3.0
      rsa 4.7 ruamel-yaml 0.15.46 setuptools 50.3.1.post20201107 six 1.15.0
      tensorboard 2.3.0 tensorboard-plugin-wit 1.6.0 torch 1.6.0+ali torchsummary 1.5.1
      torchvision 0.7.0 tqdm 4.36.1 typing-extensions 3.7.4.3 urllib3 1.24.2
      Werkzeug 1.0.1 wheel 0.35.1 yarl 1.5.1 zipp 3.4.0