为什么在我使用MKL时Tensorflow会警告AVX2? [英] Why does Tensorflow warn about AVX2 while I am using MKL?

问题描述

我正在使用带有MKL支持的Tensorflow的Anaconda发行版.

I am using Tensorflow's Anaconda distribution with MKL support.

from tensorflow.python.framework import test_util
test_util.IsMklEnabled()

此代码打印True.但是，当我编译Keras模型时，我仍然得到

This code prints True. However, when I compile my Keras model I still get

您的CPU支持此TensorFlow二进制文件未包含的指令 编译使用:AVX AVX2

Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX AVX2

这不是我所期望的行为.

This is not the behavior I was expecting.

推荐答案

在运行时对张量流执行的MKL-DNN部分(由MKL工程师提供的主要加速)进行JIT处理.因此，针对二进制创建的指令集与MKL-​​DNN代码无关.它只会影响其他数学运算，主要是Eigen库，以及尚未用MKL-DNN函数代替的任何函数.

The MKL-DNN portions of the tensorflow execution (which is the main acceleration provided by MKL engineers) are JIT'ed at runtime. So the instruction set targeted at binary creation is not relevant to the MKL-DNN code. It will only effect the other math, mainly the Eigen library and whatever functions haven't been replaced with MKL-DNN functions.

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