[Don't merge]Upgrade submodule oneDNN to v3.7 (#147498)(Z7) #148163
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This PR is to upgrade submodule oneDNN to v3.7. ## Improvements - Improved performance of convolution and matmul primitives on Intel Xeon processors with Intel AMX instruction set support (formerly Sapphire Rapids and Granite Rapids). - Improved performance of int8 and fp32 forward convolution primitive on processors with Intel AVX2 instruction set support. - Improved performance of fp8 matmul primitives with bf16 and fp16 bias data type on Intel Xeon processors with Intel AMX instruction set support (formerly Sapphire Rapids and Granite Rapids). - Introduced initial optimizations for Intel GPUs based on Xe3 architecture. - Added bfloat16 support for SDPA, implemented fp16 and bf16 gemm kernel in SDPA. - Fixed f16 matmul accuracy, the issue of SDPA cannot dispatched to ukernel, bf16/fp16/fp32 conv performance, INT8 Kernel trigger page fault, deconvolution precision issue on complex128 and fp64 and gemm correctness issue in float16 issues. - Improved bf16 matmul performance with fp32 destination with Arm Compute Library (ACL). - Improved bf16 to fp32 reorder performance. - Improved bf16 reorder performance. - Improved bf16 convolution with ACL. Fixes pytorch#136348. ## Validation results on CPU 1. NLP models accuracy/inference/training   2. Torchbench cpu userbenchmark inference & training  3. Inductor quantization  4. Dynamo benchmarks         ## Validation results on XPU Accuracy is same as baseline. Performance is shown below.  ## Validation results on ARM   Pull Request resolved: pytorch#147498 Approved by: https://github.com/fadara01, https://github.com/mingfeima, https://github.com/atalman
🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/148163
Note: Links to docs will display an error until the docs builds have been completed. ❌ 1 New Failure, 1 Unrelated FailureAs of commit 081d7ff with merge base b533bb4 ( NEW FAILURE - The following job has failed:
FLAKY - The following job failed but was likely due to flakiness present on trunk:
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Fixes #ISSUE_NUMBER
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