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tensorflow python

tensorflow python

作者: 墨流引 | 来源:发表于2020-04-19 22:45 被阅读0次

    Install TensorFlow 2
    TensorFlow is tested and supported on the following 64-bit systems:

    Python 3.5–3.7
    Ubuntu 16.04 or later
    Windows 7 or later

    TensorFlow 2 packages require a pip version >19.0.

    目前TensorFlow在python3 只支持3.5-3.7版本,pip版本需要大于19.0

    我的系统win10,python3.6
    安装老是失败,失败的模块whl单独安装
    我装失败了这个,然后我下载了它的whl
    pip install grpcio-1.28.1-cp36-cp36m-win_amd64.whl
    装完后,在装
    pip installtensorflow-2.1.0-cp36-cp36m-win_amd64.whl
    完成之后显示:

    Successfully installed absl-py-0.9.0 astor-0.8.1 cachetools-4.1.0 certifi-2020.4.5.1 chardet-3.0.4 gast-0.2.2 google-auth-1.14.0 google-auth-oauthlib-0.4.1 google-pasta-0.2.0 h5py-2.10.0 idna-2.9 keras-applications-1.0.8 keras-preprocessing-1.1.0 markdown-3.2.1 numpy-1.18.2 oauthlib-3.1.0 opt-einsum-3.2.1 protobuf-3.11.3 pyasn1-0.4.8 pyasn1-modules-0.2.8 requests-2.23.0 requests-oauthlib-1.3.0 rsa-4.0 scipy-1.4.1 setuptools-46.1.3 tensorboard-2.1.1 tensorflow-2.1.0 tensorflow-estimator-2.1.0 termcolor-1.1.0 urllib3-1.25.9 werkzeug-1.0.1 wrapt-1.12.1
    

    pip list如下

    Package              Version
    -------------------- ----------
    absl-py              0.9.0
    astor                0.8.1
    cachetools           4.1.0
    certifi              2020.4.5.1
    chardet              3.0.4
    gast                 0.2.2
    google-auth          1.14.0
    google-auth-oauthlib 0.4.1
    google-pasta         0.2.0
    grpcio               1.28.1
    h5py                 2.10.0
    idna                 2.9
    Keras-Applications   1.0.8
    Keras-Preprocessing  1.1.0
    Markdown             3.2.1
    numpy                1.18.2
    oauthlib             3.1.0
    opt-einsum           3.2.1
    pip                  20.0.2
    protobuf             3.11.3
    pyasn1               0.4.8
    pyasn1-modules       0.2.8
    requests             2.23.0
    requests-oauthlib    1.3.0
    rsa                  4.0
    scipy                1.4.1
    setuptools           46.1.3
    six                  1.14.0
    tensorboard          2.1.1
    tensorflow           2.1.0
    tensorflow-estimator 2.1.0
    termcolor            1.1.0
    urllib3              1.25.9
    Werkzeug             1.0.1
    wheel                0.29.0
    wincertstore         0.2
    wrapt                1.12.1
    

    测试是否安装成功

    >>> import tensorflow as tf
    >>> print(tf.reduce_sum(tf.random.normal([1000, 1000])))
    tf.Tensor(910.61707, shape=(), dtype=float32)
    

    参考资料:

    http://tensorfly.cn/
    https://tensorflow.google.cn/install

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