macos安装pytorch出现Intel MKL 问题

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下面这一段是anaconda官方文档对此的说明，源自https://docs.anaconda.com/mkl-optimizations/
Uninstalling MKL
MKL takes roughly 100MB and some use cases do not need it, so users can opt out of MKL and instead use OpenBLAS for Linux or the native Accelerate Framework for MacOSX. To opt out, run conda install nomkl and then use conda install to install packages that would normally include MKL or depend on packages that include MKL, such as scipy, numpy, and pandas. Conda will install the non-MKL versions of these packages together with their dependencies. If you are using OS X or Linux, have already installed these packages or already installed all of Anaconda, and wish to switch away from MKL, use the command conda install nomkl numpy scipy scikit-learn numexpr followed by conda remove mkl mkl-service.

注意：不要使用清华的anaconda源，太旧了。现在官方源已经可以访问了。

问题的最后解决是通过官方源重新执行如下命令安装就好了
conda install numpy pyyaml mkl mkl-include setuptools cmake cffi typing

macos安装pytorch出现Intel MKL 问题

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原文地址：https://blog.51cto.com/leesbing/2357328