Onnx2tf

- https://s3.ap-northeast-2.wasabisys.com/temp-models/onnx2tf_529/latest.opset17.onnx
- `Reshape`
- Fixed a critical bug in `Reshape` accuracy correction process.
- Removed special workaround processing to accommodate ShuffleNet, which is no longer needed.
- `LayerNormalization`
- Added accuracy correction process.


- [[InSPyReNet] Swin Transformer Support question 312](https://github.com/PINTO0309/onnx2tf/issues/312)
- [Reshape Unmatched max abs error when doing ONNX and TF output value validation 478](https://github.com/PINTO0309/onnx2tf/issues/478)

What's Changed
* Fixed a critical bug in `Reshape`, `LayerNormalization` accuracy correction process by PINTO0309 in https://github.com/PINTO0309/onnx2tf/pull/529


**Full Changelog**: https://github.com/PINTO0309/onnx2tf/compare/1.18.7...1.18.8

- `MatMul`
- Improved processing speed of `MatMul` accuracy correction process.
- `Concat`
- Improved the high likelihood of accuracy degradation in `Concat` input tensors where all axes except the batch size are the same size.

What's Changed
* Improved processing speed of `MatMul` accuracy correction process by PINTO0309 in https://github.com/PINTO0309/onnx2tf/pull/527
* Improved the high likelihood of accuracy degradation in `Concat` input tensors where all axes except the batch size are the same size. by PINTO0309 in https://github.com/PINTO0309/onnx2tf/pull/528


**Full Changelog**: https://github.com/PINTO0309/onnx2tf/compare/1.18.6...1.18.7

- `MatMul`
- Improved `BatchMatMul` transformation stability in the presence of undefined dimensions in the input tensor.

What's Changed
* Improved `BatchMatMul` transformation stability in the presence of undefined dimensions in the input tensor. by PINTO0309 in https://github.com/PINTO0309/onnx2tf/pull/526


**Full Changelog**: https://github.com/PINTO0309/onnx2tf/compare/1.18.5...1.18.6

- `common_functions.py`
- Reduces the frequency of output shape mismatch.
- Improved conversion stability when the structure of the model is so complex that dummy inference is not possible.

What's Changed
* Reduces the frequency of output shape mismatch by PINTO0309 in https://github.com/PINTO0309/onnx2tf/pull/525


**Full Changelog**: https://github.com/PINTO0309/onnx2tf/compare/1.18.4...1.18.5

- `Col2Im`
- Pilot implementation of `Col2Im`.
- Large numbers of constants are generated, resulting in a bloated model size.
- Not all patterns are supported, and I have only verified the sample models I have on hand.
- [mobilenetmss.onnx.zip](https://github.com/PINTO0309/onnx2tf/files/12774861/mobilenetmss.onnx.zip)
- [[Music Source Separation] Is it possible to use onnx2tf lite to convert audio based onnx models to tflite models 443](https://github.com/PINTO0309/onnx2tf/issues/443)

What's Changed
* Pilot implementation of `Col2Im` by PINTO0309 in https://github.com/PINTO0309/onnx2tf/pull/524


**Full Changelog**: https://github.com/PINTO0309/onnx2tf/compare/1.18.3...1.18.4

- Improved stability of the overall model transformation when the input tensor contains two or more undefined dimensions.
- `Resize`
- Added optimization process for `Resize` with undefined dimensions.
- Valid only if the input tensor is fixed in NHWC.
- Axis transposition correction by JSON in this pattern is no longer necessary.
- https://github.com/PINTO0309/onnx2tf/files/12758261/retinaface_onnx_dynamic.onnx.zip
- convert
bash
onnx2tf \
-i retinaface_onnx_dynamic.onnx \
-osd \
-cotof

|onnx|Before tflite|After tflite|
|:-:|:-:|:-:|
||||
- [Cannot use converted model with dynamic input shape 521](https://github.com/PINTO0309/onnx2tf/issues/521)

What's Changed
* Added optimization process for `Resize` with undefined dimensions by PINTO0309 in https://github.com/PINTO0309/onnx2tf/pull/523


**Full Changelog**: https://github.com/PINTO0309/onnx2tf/compare/1.18.2...1.18.3