安装 Tensorflow：Python - Tensorflow 版本不匹配警告

编辑：tensorflow-1.3.0-cp36-cp36m-linux_x86_64.whl现在收到不同的警告。这些似乎要小得多？

2017-11-02 13:31:01.945114: W tensorflow/core/platform/cpu_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.
2017-11-02 13:31:01.945138: W tensorflow/core/platform/cpu_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.
2017-11-02 13:31:01.945154: W tensorflow/core/platform/cpu_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.
2017-11-02 13:31:01.945158: W tensorflow/core/platform/cpu_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.
2017-11-02 13:31:01.945166: W tensorflow/core/platform/cpu_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.

我在 Ubuntu 17.10 上安装了 Python 3.6.3。我使用以下命令在 virtualenv 中安装了 tensorflow 轮文件

export TF_BINARY_URL=../Downloads/tensorflow-1.4.0-cp36-cp36m-manylinux1_x86_64.whl
pip3 install --upgrade $TF_BINARY_URL

然后运行下面的示例代码来验证安装我收到几个警告

AI/lib/python3.6/importlib/_bootstrap.py:219: RuntimeWarning: compiletime version 3.5 of module 'tensorflow.python.framework.fast_tensor_util' does not match runtime version 3.6
  return f(*args, **kwds)
2017-11-02 12:32:13.054316: I tensorflow/core/platform/cpu_feature_guard.cc:137] Your CPU supports instructions that this TensorFlow binary was not compiled to use: SSE4.1 SSE4.2 AVX AVX2 FMA

示例代码似乎在所有错误之后运行。我应该忽略它们吗？我下载了错误的车轮文件吗？

import tensorflow as tf
hello = tf.constant('Hello, TensorFlow!')
sess = tf.Session()
print(sess.run(hello))