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  • tensorflow 镜像

    https://mirrors.tuna.tsinghua.edu.cn/tensorflow/windows/cpu/

    报错 不支持

    C:Usersrady.condaenvs ensorflowpython.exe E:/www/tensor/1.py
    2019-11-27 11:52:07.417736: W c: f_jenkinshomeworkspace elease-windevicecpuoswindows ensorflowcoreplatformcpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE instructions, but these are available on your machine and could speed up CPU computations.
    2019-11-27 11:52:07.418080: W c: f_jenkinshomeworkspace elease-windevicecpuoswindows ensorflowcoreplatformcpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE2 instructions, but these are available on your machine and could speed up CPU computations.
    2019-11-27 11:52:07.418445: W c: f_jenkinshomeworkspace elease-windevicecpuoswindows ensorflowcoreplatformcpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE3 instructions, but these are available on your machine and could speed up CPU computations.
    2019-11-27 11:52:07.418773: W c: f_jenkinshomeworkspace elease-windevicecpuoswindows ensorflowcoreplatformcpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE4.1 instructions, but these are available on your machine and could speed up CPU computations.
    2019-11-27 11:52:07.419103: W c: f_jenkinshomeworkspace elease-windevicecpuoswindows ensorflowcoreplatformcpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE4.2 instructions, but these are available on your machine and could speed up CPU computations.
    2019-11-27 11:52:07.419700: W c: f_jenkinshomeworkspace elease-windevicecpuoswindows ensorflowcoreplatformcpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use AVX instructions, but these are available on your machine and could speed up CPU computations.
    2019-11-27 11:52:07.420229: W c: f_jenkinshomeworkspace elease-windevicecpuoswindows ensorflowcoreplatformcpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use AVX2 instructions, but these are available on your machine and could speed up CPU computations.
    2019-11-27 11:52:07.420670: W c: f_jenkinshomeworkspace elease-windevicecpuoswindows ensorflowcoreplatformcpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use FMA instructions, but these are available on your machine and could speed up CPU computations.
    b'Hello, TensorFlow!'

    import os
    os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2'
    可以解决


    import tensorflow as tf
    import os
    os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2'

    hello = tf.constant('Hello, TensorFlow!')
    sess = tf.Session()
    print(sess.run(hello))
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  • 原文地址:https://www.cnblogs.com/brady-wang/p/11941275.html
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