如何使用SSE4.1指令而无需从源码安装tensorflow？

Question

我试图根据其官方网站上的指南从源代码安装Tensorflow，但体验非常不愉快。

的无法从源代码，我可以看到安装的直接结果是：

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. 
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. 
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. 
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. 
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. 

我不知道是否有“使用SSE4.1指令”等说明上述无需安装Tensorflow方式从源头上。

谢谢！

Answer 1

如果不从源构建TensorFlow，则无法使用SIMD指令。

默认情况下TensorFlow二进制文件默认没有进行此优化，以尽可能增加与更广泛CPU架构的兼容性。

如果你想保持沉默的警告，虽然你可以设置TF_CPP_MIN_LOG_LEVEL 2为：

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

这TF环境变量默认为0，显示所有日志。 将其设置为1将会过滤掉INFO日志，并且2将额外静默WARNING日志。