<story><title>Apple M1 support for TensorFlow 2.5 pluggable device API</title><url>https://developer.apple.com/metal/tensorflow-plugin/</url></story><parent_chain></parent_chain><comment><author>codelord</author><text>M1 and AMD GPU support. I&amp;#x27;m personally more interested in the latter as I haven&amp;#x27;t yet upgraded my MacBook Pro and I expect that my Vega 20 to be faster than M1 at ML training.&lt;p&gt;The raw compute power of M1&amp;#x27;s GPU seems to be 2.6 TFLOPS (single precision) vs 3.2 TFLOPS for Vega 20. This can give you an estimate of how fast it would be for training.&lt;p&gt;Just for reference Nvidia&amp;#x27;s flagship desktop GPU(3090)&amp;#x27;s FP32 performance is 35.5 TFLOPS.</text></comment>
<story><title>Apple M1 support for TensorFlow 2.5 pluggable device API</title><url>https://developer.apple.com/metal/tensorflow-plugin/</url></story><parent_chain></parent_chain><comment><author>rozim</author><text>I have found the M1 air fine for web browsing but kind of hard to install software on.&lt;p&gt;Following the instructions:
-----&lt;p&gt;&lt;pre&gt;&lt;code&gt;  python -m pip install tensorflow-macos 

  ...

  ERROR: Failed building wheel for numpy

  Failed to build numpy

  ERROR: Could not build wheels for numpy which use PEP 517 and 

  cannot be installed directly&lt;/code&gt;&lt;/pre&gt;
-----&lt;p&gt;(base) dave@daves-air ~ % uname -a&lt;p&gt;&lt;pre&gt;&lt;code&gt;  Darwin daves-air.lan 20.5.0 Darwin Kernel Version 20.5.0: Sat May  8 05:10:31 PDT 2021; root:xnu-7195.121.3~9&amp;#x2F;RELEASE_ARM64_T8101 arm64&lt;/code&gt;&lt;/pre&gt;</text></comment>