pytorch

9ad05f2c - Upgrade oneDNN to v2.3.3 and package oneDNN Graph API together (#63748)

Upgrade oneDNN to v2.3.3 and package oneDNN Graph API together (#63748) Summary: This PR upgrades oneDNN to [v2.3.3](https://github.com/oneapi-src/oneDNN/releases/tag/v2.3.3) and includes [Graph API preview release](https://github.com/oneapi-src/oneDNN/releases/tag/graph-v0.2) in one package. - oneDNN will be located at `pytorch/third_party/ideep/mkl-dnn/third_party/oneDNN` - The version of oneDNN will be [v2.3.3](https://github.com/oneapi-src/oneDNN/releases/tag/v2.3.3) The main changes on CPU: - v2.3 - Extended primitive cache to improve primitive descriptor creation performance. - Improved primitive cache performance in multithreaded configurations. - Introduced initial optimizations for bfloat16 compute functionality for future Intel Xeon Scalable processor (code name Sapphire Rapids). - Improved performance of binary primitive and binary post-op for cases with broadcast and mixed source and destination formats. - Improved performance of reduction primitive - Improved performance of depthwise convolution primitive with NHWC activations for training cases - v2.3.1 - Improved int8 GEMM performance for processors with Intel AVX2 and Intel DL Boost support - Fixed integer overflow for inner product implementation on CPUs - Fixed out of bounds access in GEMM implementation for Intel SSE 4.1 - v2.3.2 - Fixed performance regression in fp32 inner product primitive for processors with Intel AVX512 support - v2.3.3 - Reverted check for memory descriptor stride validity for unit dimensions - Fixed memory leak in CPU GEMM implementation More changes can be found in https://github.com/oneapi-src/oneDNN/releases. - The Graph API provides flexible API for aggressive fusion, and the preview2 supports fusion for FP32 inference. See the [Graph API release branch](https://github.com/oneapi-src/oneDNN/tree/dev-graph-preview2) and [spec](https://spec.oneapi.io/onednn-graph/latest/introduction.html) for more details. A separate PR will be submitted to integrate the oneDNN Graph API to Torchscript graph. Pull Request resolved: https://github.com/pytorch/pytorch/pull/63748 Reviewed By: albanD Differential Revision: D32153889 Pulled By: malfet fbshipit-source-id: 536071168ffe312d452f75d54f34c336ca3778c1