[oneDNN]: Added support for quantized types in Enter and Exit ops on CPU
Hi @penpornk Can you please review this PR ? Thank you! @cantonios Thanks for reviewing this PR. I have addressed your review comments. Please take a look.
Fixes https://github.com/tensorflow/tensorflow/issues/61761.

TF removed support for quantized types in `Enter` and `Exit` ops for CPU from r2.13. This causes issues when quantizing models such as Transformer-MLPerf using [Intel(R) Neural Compressor](https://github.com/intel/neural-compressor).

An example workflow for using these ops is as follows:
`Const (float32) -> Identity -> Enter (float32) -> MatMul` would be quantized into
`Const (qint8) -> Enter (qint8) -> QuantizedMatMul`
Here, the `Const` node refers to the weights input of `MatMul`.

This PR fixes the above issue by adding back registrations for quantized types in `Enter` and `Exit` ops.