The TensorFlow library wasn't compiled to use SSE4.1/SSE4.2/AVX/AVX2/FMA instructions, but these are

最新推荐文章于 2023-07-26 10:39:15 发布

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最新推荐文章于 2023-07-26 10:39:15 发布 · 1.8k 阅读

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#Linux #centos

这篇博客讲述了在Linux CentOS环境下，TensorFlow库在编译时未启用SSE4.1、SSE4.2、AVX、AVX2和FMA指令，这可能会影响性能。内容可能涉及如何检查CPU支持的指令集、编译选项以及解决方法。

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执行如下命令是报错：
# python -c "import tensorflow as tf; print(tf.Session().run(tf.constant('Hello, TensorFlow')))"
The TensorFlow library wasn't compiled to use SSE4.1 instructions, but these are available on your machine and could speed up CPU computations.
The TensorFlow library wasn't compiled to use SSE4.2 instructions, but these are available on your machine and could speed up CPU computations.
The TensorFlow library wasn't compiled to use AVX instructions, but these are available on your machine and could speed up CPU computations.
The TensorFlow library wasn't compiled to use AVX2 instructions, but these are available on your machine and could speed up CPU computations.
The TensorFlow library wasn't compiled to use FMA instructions, but these are available on your machi