Help Center/ ModelArts/ Image Management/ Using a Preset Image/ Inference Base Images/ TensorFlow (CPU/GPU)-powered Inference Base Images
Updated on 2023-04-17 GMT+08:00

TensorFlow (CPU/GPU)-powered Inference Base Images

ModelArts provides the following inference base images powered by TensorFlow (CPU/GPU):

Engine Version 1: tensorflow_2.1.0-cuda_10.1-py_3.7-ubuntu_18.04-x86_64

  • Image path: swr.{region}.myhuaweicloud.com/atelier/tensorflow_2_1:tensorflow_2.1.0-cuda_10.1-py_3.7-ubuntu_18.04-x86_64-20221121111529-d65d817
  • Image creation time: 20220713110657 (yyyy-mm-dd-hh-mm-ss)
  • Image system version: Ubuntu 18.04.4 LTS
  • CUDA: 10.1.243
  • cuDNN: 7.6.5.32
  • Path and version of the Python interpreter: /home/ma-user/anaconda3/envs/TensorFlow-2.1/bin/python, python 3.7.10
  • Third-party package installation path: /home/ma-user/anaconda3/envs/TensorFlow-2.1/lib/python3.7/site-packages
  • Certain pip installation packages:
    Cython                                 0.29.21
    easydict                               1.9
    Flask                                  2.0.1
    grpcio                                 1.47.0
    gunicorn                               20.1.0
    h5py                                   3.7.0
    ipykernel                              6.7.0
    Jinja2                                 3.0.1
    lxml                                   4.9.1
    matplotlib                             3.5.1
    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
    protobuf                               3.20.1
    psutil                                 5.8.0
    PyYAML                                 5.1
    requests                               2.27.1
    scikit-learn                           0.22.1
    scipy                                  1.5.2
    sklearn                                0.0
    tensorboard                            2.1.1
    tensorboardX                           2.0
    tensorflow                             2.1.0
    tensorflow-estimator                   2.1.0
    wheel                                  0.37.1
    zipp                                   3.8.0
    ...
  • Certain apt installation packages:
    apt
    ca-certificates
    cmake
    cuda
    curl
    ethtool
    fdisk
    ffmpeg
    g++
    gcc
    git
    gpg
    graphviz
    libsm6
    libxext6
    libopencv-dev
    libxrender-dev
    libatlas3-base
    libnuma-dev
    libcap-dev
    libssl-dev
    liblz-dev
    libbz2-dev
    liblzma-dev
    libboost-graph-dev
    libsndfile1
    libcurl4-openssl-dev
    libopenblas-base
    liblapack3
    libopenblas-dev
    libprotobuf-dev
    libleveldb-dev
    libsnappy-dev
    libhdf5-serial-dev
    liblapacke-dev
    libgflags-dev
    libgoogle-glog-dev
    liblmdb-dev
    libatlas-base-dev
    librdmacm1
    libcap2-bin
    libpq-dev
    mysql-common
    net-tools
    nginx
    openslide-tools
    openssh-client
    openssh-server
    openssh-sftp-server
    openssl
    protobuf-compiler
    redis-server
    redis-tools
    rpm
    tar
    tofrodos
    unzip
    vim
    wget
    zip
    zlib1g-dev
    ...

Engine Version 2: tensorflow_1.15.5-cuda_11.4-py_3.8-ubuntu_20.04-x86_64

  • Image path: swr.{region}.myhuaweicloud.com/aip/tensorflow_1_15:tensorflow_1.15.5-cuda_11.4-py_3.8-ubuntu_20.04-x86_64-20220524162601-50d6a18
  • Image creation time: 20220524162601 (yyyy-mm-dd-hh-mm-ss)
  • Image system version: Ubuntu 20.04.4 LTS
  • CUDA: 11.4.3
  • cuDNN: 8.2.4.15
  • Path and version of the Python interpreter: /home/ma-user/anaconda3/envs/TensorFlow-1.15.5/bin/python, python 3.8.13
  • Third-party package installation path: /home/ma-user/anaconda3/envs/TensorFlow-1.15.5/lib/python3.8/site-packages
  • Certain pip installation packages:
    Cython 0.29.21
    psutil 5.9.0
    matplotlib 3.5.1
    protobuf 3.20.1
    tensorflow 1.15.5+nv
    Flask 2.0.1
    grpcio 1.46.1
    gunicorn 20.1.0
    Pillow 9.0.1
    tensorboard 1.15.0
    PyYAML 6.0
    pip 22.0.4
    lxml 4.7.1
    numpy 1.18.5
    tensorflow-estimator 1.15.1
    ...
  • Certain apt installation packages:
    apt
    ca-certificates
    cmake
    cuda
    curl
    ethtool
    fdisk
    ffmpeg
    g++
    gcc
    git
    gpg
    graphviz
    libsm6
    libxext6
    libopencv-dev
    libxrender-dev
    libatlas3-base
    libnuma-dev
    libcap-dev
    libssl-dev
    liblz-dev
    libbz2-dev
    liblzma-dev
    libboost-graph-dev
    libsndfile1
    libcurl4-openssl-dev
    libopenblas-base
    liblapack3
    libopenblas-dev
    libprotobuf-dev
    libleveldb-dev
    libsnappy-dev
    libhdf5-serial-dev
    liblapacke-dev
    libgflags-dev
    libgoogle-glog-dev
    liblmdb-dev
    libatlas-base-dev
    librdmacm1
    libcap2-bin
    libpq-dev
    mysql-common
    net-tools
    nginx
    openslide-tools
    openssh-client
    openssh-server
    openssh-sftp-server
    openssl
    protobuf-compiler
    redis-server
    redis-tools
    rpm
    tar
    tofrodos
    unzip
    vim
    wget
    zip
    zlib1g-dev
    ...

Engine Version 3: tensorflow_2.6.0-cuda_11.2-py_3.7-ubuntu_18.04-x86_64

  • Image path: swr.{region}.myhuaweicloud.com/aip/tensorflow_2_6:tensorflow_2.6.0-cuda_11.2-py_3.7-ubuntu_18.04-x86_64-20220524162601-50d6a18
  • Image creation time: 20220524162601 (yyyy-mm-dd-hh-mm-ss)
  • Image system version: Ubuntu 18.04.4 LTS
  • CUDA: 11.2.0
  • cuDNN: 8.1.1.33
  • Path and version of the Python interpreter: /home/ma-user/anaconda3/envs/TensorFlow-2.6.0/bin/python, python 3.7.10
  • Third-party package installation path: /home/ma-user/anaconda3/envs/TensorFlow-2.6.0/lib/python3.7/site-packages
  • Certain pip installation packages:
    Cython 0.29.21
    requests 2.27.1
    easydict 1.9
    tensorboardX 2.0
    tensorflow 2.6.0
    Flask 2.0.1
    grpcio 1.46.1
    gunicorn 20.1.0
    idna 3.3
    tensorflow-estimator 2.9.0
    pandas 1.1.5
    Pillow 9.0.1
    lxml 4.8.0
    matplotlib 3.5.1
    scikit-learn 0.22.1
    psutil 5.8.0
    PyYAML 5.1
    numpy 1.17.0
    opencv-python 4.1.2.30
    protobuf 3.20.1
    pip 21.2.2
    ...
  • Certain apt installation packages:
    apt
    ca-certificates
    cmake
    cuda
    curl
    ethtool
    fdisk
    ffmpeg
    g++
    gcc
    git
    gpg
    graphviz
    libsm6
    libxext6
    libopencv-dev
    libxrender-dev
    libatlas3-base
    libnuma-dev
    libcap-dev
    libssl-dev
    liblz-dev
    libbz2-dev
    liblzma-dev
    libboost-graph-dev
    libsndfile1
    libcurl4-openssl-dev
    libopenblas-base
    liblapack3
    libopenblas-dev
    libprotobuf-dev
    libleveldb-dev
    libsnappy-dev
    libhdf5-serial-dev
    liblapacke-dev
    libgflags-dev
    libgoogle-glog-dev
    liblmdb-dev
    libatlas-base-dev
    librdmacm1
    libcap2-bin
    libpq-dev
    mysql-common
    net-tools
    nginx
    openslide-tools
    openssh-client
    openssh-server
    openssh-sftp-server
    openssl
    protobuf-compiler
    redis-server
    redis-tools
    rpm
    tar
    tofrodos
    unzip
    vim
    wget
    zip
    zlib1g-dev
    ...