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  • 镜像二:conda3-ubuntu18.04 表2 conda3-ubuntu18.04镜像介绍 AI引擎框架 是否使用 GPU (CUDA 版本) URL 包含的依赖项 无 否 swr.{region_id}.myhuaweicloud.com/atelier/user_defined_base:ubuntu_18.04-x86_64-20221008154718-2b3e39c 例如: 华北-北京四 swr.cn-north-4.myhuaweicloud.com/atelier/user_defined_base:ubuntu_18.04-x86_64-20221008154718-2b3e39c 华东-上海一 swr.cn-east-3.myhuaweicloud.com/atelier/user_defined_base:ubuntu_18.04-x86_64-20221008154718-2b3e39c 华南-广州 swr.cn-south-1.myhuaweicloud.com/atelier/user_defined_base:ubuntu_18.04-x86_64-20221008154718-2b3e39c PyPI 程序包 Ubuntu 软件包 ipykernel 6.7.0 ipython 7.34.0 jupyter-client 7.3.4 ma-cau 1.1.3 ma-cau-adapter 1.1.3 ma-cli 1.1.5 matplotlib 3.5.1 modelarts 1.4.11 moxing-framework 2.1.0.5d9c87c8 numpy 1.21.6 pandas 1.3.5 pillow 9.2.0 pip 20.3.3 psutil 5.9.1 PyYAML 6.0 scipy 1.7.3 tornado 6.2 automake build-essential ca-certificates cmake cpp curl g++ gcc gfortran grep nginx python3 rpm tar unzip vim wget zip
  • 镜像一:conda3-cuda10.2-cudnn7-ubuntu18.04 表1 conda3-cuda10.2-cudnn7-ubuntu18.04镜像介绍 AI引擎框架 是否使用 GPU (CUDA 版本) URL 包含的依赖项 无 是 (cuda 10.2) swr.{region_id}.myhuaweicloud.com/atelier/user_defined_base:cuda_10.2-ubuntu_18.04-x86_64-20221008154718-2b3e39c 例如: 华北-北京四 swr.cn-north-4.myhuaweicloud.com/atelier/user_defined_base:cuda_10.2-ubuntu_18.04-x86_64-20221008154718-2b3e39c 华东-上海一 swr.cn-east-3.myhuaweicloud.com/atelier/user_defined_base:cuda_10.2-ubuntu_18.04-x86_64-20221008154718-2b3e39c 华南-广州 swr.cn-south-1.myhuaweicloud.com/atelier/user_defined_base:cuda_10.2-ubuntu_18.04-x86_64-20221008154718-2b3e39c PyPI 程序包 Ubuntu 软件包 ipykernel 6.7.0 ipython 7.34.0 jupyter-client 7.3.4 ma-cau 1.1.3 ma-cau-adapter 1.1.3 ma-cli 1.1.5 matplotlib 3.5.1 modelarts 1.4.11 moxing-framework 2.1.0.5d9c87c8 numpy 1.21.6 pandas 1.3.5 pillow 9.2.0 pip 20.3.3 psutil 5.9.1 PyYAML 6.0 scipy 1.7.3 tornado 6.2 automake build-essential ca-certificates cmake cpp curl g++ gcc gfortran grep libcudnn7 libcudnn7-dev nginx python3 rpm tar unzip vim wget zip
  • Notebook基础镜像列表 ModelArts开发环境提供Docker容器镜像,可作为预构建容器运行。预置镜像里面包含PyTorch,Tensorflow,MindSpore等常用AI引擎框架,镜像命名以AI引擎为主,并且每个镜像里面都预置了很多常用包,用户可以直接使用而无需重新安装。 开发环境预置镜像分为X86和ARM两类: 表1 X86预置镜像列表 引擎类型 镜像名称 PyTorch pytorch1.8-cuda10.2-cudnn7-ubuntu18.04 pytorch1.10-cuda10.2-cudnn7-ubuntu18.04 pytorch1.4-cuda10.1-cudnn7-ubuntu18.04 Tensorflow tensorflow2.1-cuda10.1-cudnn7-ubuntu18.04 tensorflow1.13-cuda10.0-cudnn7-ubuntu18.04 MindSpore mindspore1.7.0-cuda10.1-py3.7-ubuntu18.04 mindspore1.7.0-py3.7-ubuntu18.04 mindspore1.2.0-cuda10.1-cudnn7-ubuntu18.04 mindspore1.2.0-openmpi2.1.1-ubuntu18.04 无AI引擎(专用于 自定义镜像 的基础镜像) conda3-cuda10.2-cudnn7-ubuntu18.04 conda3-ubuntu18.04 表2 ARM预置镜像列表 引擎类型 镜像名称 TensorFlow tensorflow1.15-mindspore1.7.0-cann5.1.0-euler2.8-aarch64 tensorflow1.15-cann5.1.0-py3.7-euler2.8.3 MindSpore mindspore_1.10.0-cann_6.0.1-py_3.7-euler_2.8.3 mindspore_1.9.0-cann_6.0.0-py_3.7-euler_2.8.3 mindspore1.7.0-cann5.1.0-py3.7-euler2.8.3 mindspore1.7.0-cuda10.1-py3.7-ubuntu18.04 父主题: Notebook基础镜像介绍
  • 镜像二:tensorflow1.13-cuda10.0-cudnn7-ubuntu18.04 表2 tensorflow1.13-cuda10.0-cudnn7-ubuntu18.04镜像介绍 AI引擎框架 是否使用 GPU (CUDA 版本) URL 包含的依赖项 Tensorflow 1.13-gpu 是 (cuda 10.0) swr.{region_id}.myhuaweicloud.com/atelier/tensorflow_1_13:tensorflow_1.13-cuda_10.0-py_3.7-ubuntu_18.04-x86_64-20220926104358-041ba2e 例如: 华北-北京四 swr.cn-north-4.myhuaweicloud.com/atelier/tensorflow_1_13:tensorflow_1.13-cuda_10.0-py_3.7-ubuntu_18.04-x86_64-20220926104358-041ba2e 华东-上海一 swr.cn-east-3.myhuaweicloud.com/atelier/tensorflow_1_13:tensorflow_1.13-cuda_10.0-py_3.7-ubuntu_18.04-x86_64-20220926104358-041ba2e 华南-广州 swr.cn-south-1.myhuaweicloud.com/atelier/tensorflow_1_13:tensorflow_1.13-cuda_10.0-py_3.7-ubuntu_18.04-x86_64-20220926104358-041ba2e PyPI 程序包 Ubuntu 软件包 tensorflow-gpu 1.13.1 ipykernel 6.7.0 ipython 7.34.0 jupyter-client 7.3.4 ma-cau 1.1.6 ma-cau-adapter 1.1.3 ma-cli 1.2.2 matplotlib 3.5.1 modelarts 1.4.11 moxing-framework 2.0.1.rc0.ffd1c0c8 numpy 1.17.0 opencv-python 4.1.2.30 pandas 1.1.5 pillow 6.2.0 pip 22.1.2 psutil 5.8.0 PyYAML 5.1 scipy 1.2.2 scikit-learn 0.22.1 tornado 6.2 automake build-essential ca-certificates cmake cpp curl ffmpeg g++ gcc gfortran git git-lfs grep libcudnn7 libcudnn7-dev libjpeg-dev:amd64 libjpeg8-dev:amd64 openssh-client openssh-server nginx python3 rpm screen tar tmux unzip vim wget zip
  • 镜像一:tensorflow2.1-cuda10.1-cudnn7-ubuntu18.04 表1 tensorflow2.1-cuda10.1-cudnn7-ubuntu18.04镜像介绍 AI引擎框架 是否使用 GPU (CUDA 版本) URL 包含的依赖项 Tensorflow 2.1 是 (cuda 10.1) swr.{region_id}.myhuaweicloud.com/atelier/tensorflow_2_1:tensorflow_2.1.0-cuda_10.1-py_3.7-ubuntu_18.04-x86_64-20220926144607-041ba2e 例如: 华北-北京四 swr.cn-north-4.myhuaweicloud.com/atelier/tensorflow_2_1:tensorflow_2.1.0-cuda_10.1-py_3.7-ubuntu_18.04-x86_64-20220926144607-041ba2e 华东-上海一 swr.cn-east-3.myhuaweicloud.com/atelier/tensorflow_2_1:tensorflow_2.1.0-cuda_10.1-py_3.7-ubuntu_18.04-x86_64-20220926144607-041ba2e 华南-广州 swr.cn-south-1.myhuaweicloud.com/atelier/tensorflow_2_1:tensorflow_2.1.0-cuda_10.1-py_3.7-ubuntu_18.04-x86_64-20220926144607-041ba2e PyPI 程序包 Ubuntu 软件包 tensorflow 2.1.0 ipykernel 6.7.0 ipython 7.34.0 jupyter-client 7.3.4 ma-cau 1.1.6 ma-cau-adapter 1.1.3 ma-cli 1.2.2 matplotlib 3.5.1 modelarts 1.4.11 moxing-framework 2.1.0.5d9c87c8 numpy 1.19.5 opencv-python 4.1.2.30 pandas 1.1.5 pillow 9.2.0 pip 22.1.2 psutil 5.8.0 PyYAML 5.1 scipy 1.5.2 scikit-learn 0.22.1 tornado 6.2 tensorboard 2.1.1 automake build-essential ca-certificates cmake cpp curl ffmpeg g++ gcc gfortran git git-lfs grep libcudnn7 libcudnn7-dev libjpeg-dev:amd64 libjpeg8-dev:amd64 openssh-client openssh-server nginx python3 rpm screen tar tmux unzip vim wget zip