Onnx2tf

- Ubuntu22.04
- tensorflow v2.14.0rc1
- Ubuntu 20.04 is no longer supported.
- ml_dtypes 0.2.0
- flatc v23.5.26
- This adds support for larger buffers > 2 GiB by adding a 64-bit offsets for vectors and strings. This is only for C++ at the moment.
- https://github.com/google/flatbuffers/pull/7935

What's Changed
* Ubuntu22.04, tensorflow v2.14.0rc1, ml_dtypes, flatc v23.5.26 by PINTO0309 in https://github.com/PINTO0309/onnx2tf/pull/506


**Full Changelog**: https://github.com/PINTO0309/onnx2tf/compare/1.16.31...1.17.0

- `common_functions.py`
- Added conversion progress indicator.

What's Changed
* Added conversion progress indicator by PINTO0309 in https://github.com/PINTO0309/onnx2tf/pull/505


**Full Changelog**: https://github.com/PINTO0309/onnx2tf/compare/1.16.30...1.16.31

- `MatMul`
- Improved stability of `MatMul` transformations when the output tensor is too large to allow dummy inference
- For models that consume so much RAM that dummy inference cannot be performed to guarantee accuracy after the transformation, the model is changed to only check that the shape after the inner product of MatMul's trailing two axes matches ONNX's output shape.
- https://s3.ap-northeast-2.wasabisys.com/temp-models/onnx2tf_248/bertsquad-12.onnx
- The figure below shows that the total size of the Numpy.ndarray after dummy inference is expected to exceed 93 GB.
- The specification is to skip dummy inference if it is expected to consume more than 80% of the PC's RAM space.
- Even if the conversion is successful, the accuracy of the converted model is not guaranteed.

What's Changed
* Improved stability of `MatMul` transformations when the output tensor is too large to allow dummy inference by PINTO0309 in https://github.com/PINTO0309/onnx2tf/pull/504


**Full Changelog**: https://github.com/PINTO0309/onnx2tf/compare/1.16.29...1.16.30

- `ScatterND`
- Improved transposition determination algorithm.
- Improved overall model conversion stability.
- `Concat`
- Added a remedy for cases where it is difficult to determine the correct axis.
- https://github.com/PINTO0309/onnx2tf/releases/download/1.16.29/diffusion_low_light_1x3x192x320.onnx

What's Changed
* Improved `ScatterND` transposition determination algorithm by PINTO0309 in https://github.com/PINTO0309/onnx2tf/pull/503


**Full Changelog**: https://github.com/PINTO0309/onnx2tf/compare/1.16.28...1.16.29

- `OneHot`
- Improved optimization of non-optimizable `OneHot` with onnx-optimizer and onnxsim.
- Further improves the stability of the overall model conversion.

|Before|After|
|:-:|:-:|
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What's Changed
* Improved optimization of non-optimizable `OneHot` with onnx-optimizer and onnxsim by PINTO0309 in https://github.com/PINTO0309/onnx2tf/pull/502


**Full Changelog**: https://github.com/PINTO0309/onnx2tf/compare/1.16.27...1.16.28

- `DepthToSparse`
- Added NHWC information propagation processing to `DepthToSparse` and improved conversion stability.
- Improved overall model conversion stability.
- https://github.com/apple/ml-cvnets
- [mobilevitv2-0.5.onnx.zip](https://github.com/PINTO0309/onnx2tf/files/12640852/mobilevitv2-0.5.onnx.zip)

What's Changed
* Added NHWC information propagation processing to `DepthToSparse` and improved conversion stability by PINTO0309 in https://github.com/PINTO0309/onnx2tf/pull/501


**Full Changelog**: https://github.com/PINTO0309/onnx2tf/compare/1.16.26...1.16.27