Onnx2tf

- `Unsqueeze`
- Improved propagation of NHWC flags under limited conditions in `Unsqueeze`.
- Reduces the frequency of shape unmatch errors in subsequent OPs.
- `common_functions.py`
- Implemented workarounds to avoid shape mismatch errors in `Mul`, `Sub`, `Div`, and `Mod` to improve overall model transformation stability.

bash
onnx2tf -i conv_tasnet_dnn.onnx -kat input -cotof

- [[DNN-based_source_separation] Facing issue in Mul node during conversion 460](https://github.com/PINTO0309/onnx2tf/issues/460)

What's Changed
* Improved propagation of NHWC flags under limited conditions in `Unsqueeze`. by PINTO0309 in https://github.com/PINTO0309/onnx2tf/pull/461


**Full Changelog**: https://github.com/PINTO0309/onnx2tf/compare/1.15.14...1.15.15

- `BatchNormalization`
- Workaround for inconsistent `C` position.
- This is a special optimization measure especially for onnx generated using [tf2onnx (tensorflow-onnx)](https://github.com/onnx/tensorflow-onnx).
- Reduction of conversion errors caused by missing the position of the `C` when there is a large number of unnecessary `Transpose` just before the `BatchNormalization`.
- Improved stability of the overall model conversion.

What's Changed
* Added description of workaround to avoid accuracy errors due to TFLite runtime by PINTO0309 in https://github.com/PINTO0309/onnx2tf/pull/457
* `BatchNormalization` Workaround for inconsistent "C" position by PINTO0309 in https://github.com/PINTO0309/onnx2tf/pull/459


**Full Changelog**: https://github.com/PINTO0309/onnx2tf/compare/1.15.13...1.15.14

- `onnx2tf.py`, `common_functions.py`
- Disable `do_type_check` when exporting ONNX graphs from `onnx_graphsurgeon`.
- Ref: https://github.com/PINTO0309/soa4onnx/pull/1

What's Changed
* CI disk space further expanded from 53GB to 63GB by PINTO0309 in https://github.com/PINTO0309/onnx2tf/pull/452
* Remove unused and useless lines by PINTO0309 in https://github.com/PINTO0309/onnx2tf/pull/453
* Disable `do_type_check` when exporting ONNX graphs from `onnx_graphsurgeon` by PINTO0309 in https://github.com/PINTO0309/onnx2tf/pull/456


**Full Changelog**: https://github.com/PINTO0309/onnx2tf/compare/1.15.12...1.15.13

- `Conv`
- convert a Conv with pads `[3,3,3,1]` on onnx, than I receive an `mismatch`
- when there's Asymmetrical pads, consider it as user define params and lead it to `get_padding_as_op`

What's Changed
* fix unusual pads of conv by chanendy in https://github.com/PINTO0309/onnx2tf/pull/450
* v1.15.11 -> v1.15.12 by PINTO0309 in https://github.com/PINTO0309/onnx2tf/pull/451

New Contributors
* chanendy made their first contribution in https://github.com/PINTO0309/onnx2tf/pull/450

**Full Changelog**: https://github.com/PINTO0309/onnx2tf/compare/1.15.11...1.15.12

- `Gemm`
- Fixed to disable transposition when `bias` is one dimensional.
- Fixed a problem in which tensors were erroneously transposed in the opposite direction when a one-dimensional bias was present.
- https://github.com/woshidandan/TANet

What's Changed
* Fixed to disable transposition when bias is one dimensional. by PINTO0309 in https://github.com/PINTO0309/onnx2tf/pull/448


**Full Changelog**: https://github.com/PINTO0309/onnx2tf/compare/1.15.10...1.15.11

- `MaxPool`
- Implemented a workaround to deal with the problem that padding with the minimum value causes the output error of `MaxPool2D` to be maximized only when quantizing with INT8 quantization. 444



Float32 model outputs flattened shape: (512,)
Int8 model outputs flattened shape: (512,)
Euclidean Distance: 2.0942165851593018

- [[OSNet] int8 tflite model - catastrophic accuracy degradation 444](https://github.com/PINTO0309/onnx2tf/issues/444)

What's Changed
* Implemented a workaround to deal with the problem that padding with the minimum value causes the output error of `MaxPool2D` to be maximized only when quantizing with INT8 quantization. 444 by PINTO0309 in https://github.com/PINTO0309/onnx2tf/pull/446


**Full Changelog**: https://github.com/PINTO0309/onnx2tf/compare/1.15.9...1.15.10