Upgrade oneDNN to v2.6.0 (#75398)
Summary:
This PR upgrades oneDNN to v2.6.0.
v2.6.0 changes:
- Improved performance for future Intel Xeon® Scalable processors (code name Sapphire Rapids). The functionality requires Linux kernel 5.16 or later.
- Improved performance of matmul primitive for processors with Intel AVX-512 support.
- Introduced bfloat16 destination support for int8 convolution, matmul and inner product primitives for processors with Intel AVX-512 support and or future Intel Xeon® Scalable processors (code name Sapphire Rapids)
- Extended RNN primitive with support for [AUGRU cell](https://oneapi-src.github.io/oneDNN/dev_guide_rnn.html#augru).
- Added support for non-zero negative slope in ReLU post-op for batch normalization primitive.
- Introduced support for mixed source and destination data types in softmax primitive.
- Introduced [persistent cache API](https://oneapi-src.github.io/oneDNN/dev_guide_persistent_cache.html). This functionality allows to serialize and reuse JIT kernels.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/75398
Reviewed By: dagitses, bigfootjon
Differential Revision: D35976827
Pulled By: frank-wei
fbshipit-source-id: a77ae15cd77fc7c114ab9722453c28dc64aac679
(cherry picked from commit e376698d3c772aaa2dfbe51a4d1a75c8d17d0eee)
