[oneDNN] Add 2 new patterns for layernorm fusion
Hi @ezhulenev, Can you please take a look at this PR? Thank you!
co-author: @ustcuna 

Following pattern is seen in 3 models. It looks similar to InstanceNorm pattern but it is actually LayerNorm based on the reduction axis. Under right conditions, this pattern will be fused as LayerNorm to improve performance.

![image](https://github.com/intel-innersource/frameworks.ai.tensorflow.private-tensorflow/assets/42224278/e2192afc-0d97-4aff-8529-37e10ae72c1b)

With this change we saw ~20% improvement in performance for the 3 models
These are the repo links for 2 of the 3 models
BERT_LARGE : https://github.com/mlperf/training/tree/master/language_model/tensorflow/bert
BERT_BASE : https://github.com/google-research/bert

The other pattern is seen in another customer model and brings in 10-20% improvement
![model-level pattern example](https://github.com/intel-innersource/frameworks.ai.tensorflow.private-tensorflow/assets/89436425/99086725-2e98-4e70-8ea5-873d92848c6b)