[oneDNN] Quantized batch-matmul and fusions
@penpornk Just a heads-up that https://github.com/tensorflow/tensorflow/pull/58204 PR got reverted due to ARM unit test failures. I have pushed a fix in this PR. Hi @mdfaijul Can you please rebase your branch and resolve the conflicts? Thank you!

 @gbaned @penpornk I have resolved all the merge conflicts. Can you please review this PR? Thanks. Hi @penpornk Can you please review this PR? Thank you!
Reopened the rollback https://github.com/tensorflow/tensorflow/commit/cd6c5aac83fc2d14c9861d9e50d94dbf9cda6b65

This PR enables support for quantized batched matrices in the BatchMatMul op. A few binary ops can also be fused to it. Transformers based models frequently uses it and the fusions (e.g., BatchMatMul + Mul + Add) in their self-attention.