PR #62937: New Features for TFLite Delegates accuracy and correctness tools
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PR #62937: New Features for TFLite Delegates accuracy and correctness tools

Imported from GitHub PR https://github.com/tensorflow/tensorflow/pull/62937

The new features are: 

- **Option to use reference and test model for the evaluation tools.** This supports the cases, where the delegate does not perform inline model compilation for target compute IP but requires model to be preprocessed in advance.  For instance the workflow with Ethos-U NPU - the model is converted by Arm Vela tool, which replaces part of the compute graph with custom nodes recognized by the particular delegate. To evaluate the accuracy in this case one needs to supply both the reference and converted (test) model. The reference to be used with reference inference and test model with delegate. 
-  **Add support for int32 input/output**
Copybara import of the project:

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19cea144c496ec0a9deb3d4465220106d48e5073 by Robert Kalmar <robert.kalmar@nxp.com>:

Enable two model inference_diff for post model conversion evaluation

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d98135cc681819e8da3945350e355f010d90d234 by Robert Kalmar <robert.kalmar@nxp.com>:

Support int32 input/output for inference_diff tool

Merging this change closes #62937

FUTURE_COPYBARA_INTEGRATE_REVIEW=https://github.com/tensorflow/tensorflow/pull/62937 from nxp-imx:patches/inference_diff_tool_new_features d98135cc681819e8da3945350e355f010d90d234
