r2.10 cherry-pick: Move TF-oneDNN RFC link to the x86 bullet #57402
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penpornk
changed the title
nSircombe
reviewed
Aug 23, 2022
RELEASE.md
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| * **x86 CPUs**: oneDNN bfloat16 auto-mixed precision grappler graph optimization pass has been renamed from `auto_mixed_precision_mkl` to `auto_mixed_precision_onednn_bfloat16`. See example usage [here](https://www.intel.com/content/www/us/en/developer/articles/guide/getting-started-with-automixedprecisionmkl.html). | ||
| * CPU performance optimizations: | ||
| * **x86 CPUs**: [oneDNN](https://github.com/tensorflow/community/blob/master/rfcs/20210930-enable-onednn-ops.md) bfloat16 auto-mixed precision grappler graph optimization pass has been renamed from `auto_mixed_precision_mkl` to `auto_mixed_precision_onednn_bfloat16`. See example usage [here](https://www.intel.com/content/www/us/en/developer/articles/guide/getting-started-with-automixedprecisionmkl.html). | ||
| * **aarch64 CPUs:** Experimental Arm Compute Library (ACL) CPU performance optimizations through oneDNN are available in the default Linux aarch64 package (`pip install tensorflow`). |
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nit: Could we use "Compute Library for the Arm® Architecture (ACL)" in place of "Arm Compute Library (ACL)"
maybe...
"Experimental performance optimizations from Compute Library for the Arm® Architecture (ACL) are available through oneDNN in the default..."
Based on feedback from @nSircombe.
cantonios
previously approved these changes
Aug 23, 2022
Co-authored-by: Sunita Nadampalli <nadampal@amazon.com>
mihaimaruseac
approved these changes
Aug 24, 2022
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Based on feedback from @snadampal.