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Update NEWS, README and website for 1.7.0 #19047
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@@ -9,17 +9,28 @@ page](https://mxnet.apache.org/get_started/download). | |
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Run the following command: | ||
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<div class="v1-6-0"> | ||
<div class="v1-7-0"> | ||
{% highlight bash %} | ||
pip install mxnet | ||
{% endhighlight %} | ||
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Start from 1.7.0 release, MKL-DNN is enabled in pip packages by default. Which are | ||
optimized for Intel hardware. You can find performance numbers | ||
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. Elaborate on the "optimization? For example "oneAPI Deep Neural Network Library (oneDNN) is an open-source cross-platform performance library of basic building blocks for deep learning applications. The library is optimized for Intel Architecture Processors, Intel Processor Graphics and Xe architecture-based Graphics. Support for other architectures such as Arm* 64-bit Architecture (AArch64) and OpenPOWER* Power ISA (PPC64) is experimental." (from the oneDNN repo). Please mention that the There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. Thank you for the valuable inputs, leezu, I will update the description here. There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. BTW, I didn't find available There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. yes it's WIP. |
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in the <a href="https://mxnet.io/api/faq/perf#intel-cpu">MXNet tuning guide</a>. | ||
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. Link to mxnet.apache.org/ There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. The perf link under mxnet.apache.org will contain the version number like "https://mxnet.apache.org/versions/1.6/api/faq/perf.html#intel-cpu". Is there any basic link without version number which can redirect to the latest version of the page? |
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</div> <!-- End of v1-7-0 --> | ||
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<div class="v1-6-0"> | ||
{% highlight bash %} | ||
pip install mxnet==1.6.0 | ||
{% endhighlight %} | ||
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MKL-DNN enabled pip packages are optimized for Intel hardware. You can find | ||
performance numbers | ||
in the <a href="https://mxnet.io/api/faq/perf#intel-cpu">MXNet tuning guide</a>. | ||
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{% highlight bash %} | ||
pip install mxnet-mkl | ||
pip install mxnet-mkl==1.6.0 | ||
{% endhighlight %} | ||
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</div> <!-- End of v1-6-0 --> | ||
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oneDNN?