[QNN][TFLite] TFLite rounding mode support

[FrozenGene]

Almost work is done by @Fwd-IV Thanks! I just port it from #4828.

Some other import changes should be noticed is in the rewrite_simplify.cc / canonical_simplify.cc. We introduce expression complexity to determine whether we should do these optimizations. After introducing tflite rounding, we will have complex expressions, like this:

If we don't disable this , we even can not compile whole mobilenet v2 quantized model successfully.

This is also initial support for TFLite bit extract comparison . After this work, our qnn mobilenetv1/v2/inception and so on models we could get bit extract compared with tflite. I also think we have more work to do for more models.

Co-author-by: @Fwd-IV

@anijain2305@mbrookhart@giuseros

[tqchen]

Thanks @FrozenGene can you move the analysis change to a separate PR so we can review that part carefully

[FrozenGene]

Thanks @FrozenGene can you move the analysis change to a separate PR so we can review that part carefully

have separated it and resolve your comment

[mbrookhart]

@FrozenGene Any chance you can rebase and fix CI?

Thanks!

[jroesch]

This PR appears to be out of date, please feel free to reopen it if this is not the case.

As part of the new year we are attempting to triage the project's open pull requests to ensure that code which
is ready for review and/or merging receives adequate attention.

Thanks again for your contribution, and feel free to reach out to discuss these changes.