Onnx2tf

- Fix arm64 test

What's Changed
* Fix arm64 by PINTO0309 in https://github.com/PINTO0309/onnx2tf/pull/659


**Full Changelog**: https://github.com/PINTO0309/onnx2tf/compare/1.23.0...1.23.1

- Generation of `saved_model` with `GroupConvolution` and Full Integer Quantization without `-dgc`, `-osd`.
- Improved stability of Full Integer Quantization.
- e.g. YOLOv9 with `GroupConvolution` + `Dynamic Input [1, None, None, 3]`
- [yolov9_n_wholebody_with_wheelchair_post_0100_1x3x384x672_full_integer_quant.tflite.zip](https://github.com/user-attachments/files/16043375/yolov9_n_wholebody_with_wheelchair_post_0100_1x3x384x672_full_integer_quant.tflite.zip)

What's Changed
* Generation of `saved_model` with `GroupConvolution` and Full Integer Quantization without `--dgc` by PINTO0309 in https://github.com/PINTO0309/onnx2tf/pull/655


**Full Changelog**: https://github.com/PINTO0309/onnx2tf/compare/1.22.6...1.23.0

- Support for INT8 auto-calibration of models with undefined dimensions in the input OP.

What's Changed
* Support for INT8 auto-calibration of models with undefined dimensions in the input OP by PINTO0309 in https://github.com/PINTO0309/onnx2tf/pull/652


**Full Changelog**: https://github.com/PINTO0309/onnx2tf/compare/1.22.5...1.22.6

- Workaround to the problem of TensorFlow corrupting the FlatBuffer input/output order during INT8 quantization.
- Determination of the number of inputs/outputs of the same shape.
- Correct name discrepancies based on shape if multiple inputs/outputs shapes do not overlap.
- However, if there are inputs/outputs containing undefined dimensions, workaround is skipped because correction is not possible.



- [Input and Output Name Order Swapping with -coion option 650](https://github.com/PINTO0309/onnx2tf/issues/650)

What's Changed
* Workaround to the problem of TensorFlow corrupting the FlatBuffer input/output order during INT8 quantization. by PINTO0309 in https://github.com/PINTO0309/onnx2tf/pull/651


**Full Changelog**: https://github.com/PINTO0309/onnx2tf/compare/1.22.4...1.22.5

- `FusedConv`, `Resize`
1. Implemented the ability to forcibly estimate the shape of `com.microsoft v1` modules for which `onnx.shape_inference.infer_shapes(x)` does not work correctly. e.g. `FusedConv`
2. Added optimization process for some patterns of `Resize` operations like garbage. (Not perfect, but only for a very few edge cases)

- ONNX
[lm_model4_opt.onnx.zip](https://github.com/user-attachments/files/15510495/lm_model4_opt.onnx.zip)
- TFLite
[lm_model4_opt_float32.tflite.zip](https://github.com/user-attachments/files/15513626/lm_model4_opt_float32.tflite.zip)

- [FusedConv error 643](https://github.com/PINTO0309/onnx2tf/issues/643)

What's Changed
* Implemented the ability to forcibly estimate the shape of `com.microsoft v1` modules for which `onnx.shape_inference.infer_shapes(x)` does not work correctly. by PINTO0309 in https://github.com/PINTO0309/onnx2tf/pull/646
* Update README.md by ramonhollands in https://github.com/PINTO0309/onnx2tf/pull/645

New Contributors
* ramonhollands made their first contribution in https://github.com/PINTO0309/onnx2tf/pull/645

**Full Changelog**: https://github.com/PINTO0309/onnx2tf/compare/1.22.3...1.22.4

- Multi-Arch Docker Image


What's Changed
* Fix multi-platform image push by ysohma in https://github.com/PINTO0309/onnx2tf/pull/639


**Full Changelog**: https://github.com/PINTO0309/onnx2tf/compare/1.22.0...1.22.3