Tensorflow 警告（The TensorFlow library wasn't compiled to use SSE instructions）

最新推荐文章于 2021-06-01 16:19:53 发布

试一试名字能有多长

最新推荐文章于 2021-06-01 16:19:53 发布

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本文链接：https://blog.youkuaiyun.com/tongguowei/article/details/99656027

本文解释了如何在TensorFlow中消除关于未使用SSE指令集的警告信息，通过设置环境变量，可以避免在运行时显示这类提示，同时保持代码的正常执行。

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警告指的是，您的CPU支持SSE指令，这允许在硬件并行操作中速度有所提高。启用这些操作是编译时操作（即使用SSE，您需要从源代码中构建库，从而启用特定的SSE版本），在这种情况下，您可以查看这个问题。如果不想要这个警告，就在代码里加上下面2行的语句。

2019-08-15 20:45:11.127337: W c:\tf_jenkins\home\workspace\release-win\m\windows\py\35\tensorflow\core\platform\cpu_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.
2019-08-15 20:45:11.128338: W c:\tf_jenkins\home\workspace\release-win\m\windows\py\35\tensorflow\core\platform\cpu_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.
2019-08-15 20:45:11.128338: W c:\tf_jenkins\home\workspace\release-win\m\windows\py\35\tensorflow\core\platform\cpu_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.
2019-08-15 20:45:11.128338: W c:\tf_jenkins\home\workspace\release-win\m\windows\py\35\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.
2019-08-15 20:45:11.129338: W c:\tf_jenkins\home\workspace\release-win\m\windows\py\35\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.
2019-08-15 20:45:11.129338: W c:\tf_jenkins\home\workspace\release-win\m\windows\py\35\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.
2019-08-15 20:45:11.129338: W c:\tf_jenkins\home\workspace\release-win\m\windows\py\35\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.
2019-08-15 20:45:11.129338: W c:\tf_jenkins\home\workspace\release-win\m\windows\py\35\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.

import os
os.environ['TF_CPP_MIN_LOG_LEVEL']='2'