Onnx2tf

- `Expand`, `BatchNormalization`, `Gather`
- Automatic accuracy compensation.
- Added the ability to automatically compensate for accuracy degradation due to dimensional transposition errors.
- `AveragePool`
- Only very few edge cases are supported.
- The dynamic tensor `AveragePool` is difficult to replace exactly with TensorFlow's `AveragePooling`.
- I have fixed and released the critical problems except for `AveragePool`, but `AveragePool (with ceil_mode=1)` with dynamic tensor as input is extremely difficult to fix due to compatibility issues with TensorFlow.
- The problem is that the error was not occurring in the `AveragePool (with ceil_mode=1)` where the conversion error should have occurred, and the latest onnx2tf should now generate a conversion error in the `AveragePool (with ceil_mode=1)`.


INFO: 39 / 1464
INFO: onnx_op_type: AveragePool onnx_op_name: wa/xvector/block1/tdnnd1/cam_layer/AveragePool
INFO: input_name.1: wa/xvector/block1/tdnnd1/nonlinear2/relu/Relu_output_0 shape: [1, 128, 'unk__71'] dtype: float32
INFO: output_name.1: wa/xvector/block1/tdnnd1/cam_layer/AveragePool_output_0 shape: [1, 128, 'unk__77'] dtype: float32
ERROR: The trace log is below.
Traceback (most recent call last):
File "/home/xxxxx/git/onnx2tf/onnx2tf/utils/common_functions.py", line 312, in print_wrapper_func
result = func(*args, **kwargs)
File "/home/xxxxx/git/onnx2tf/onnx2tf/utils/common_functions.py", line 385, in inverted_operation_enable_disable_wrapper_func
result = func(*args, **kwargs)
File "/home/xxxxx/git/onnx2tf/onnx2tf/utils/common_functions.py", line 55, in get_replacement_parameter_wrapper_func
func(*args, **kwargs)
File "/home/xxxxx/git/onnx2tf/onnx2tf/ops/AveragePool.py", line 171, in make_node
output_spatial_shape = [
File "/home/xxxxx/git/onnx2tf/onnx2tf/ops/AveragePool.py", line 172, in <listcomp>
func((i + pb + pe - d * (k - 1) - 1) / s + 1)
TypeError: unsupported operand type(s) for +: 'NoneType' and 'int'

ERROR: input_onnx_file_path: ../cam++_vin.onnx
ERROR: onnx_op_name: wa/xvector/block1/tdnnd1/cam_layer/AveragePool
ERROR: Read this and deal with it. https://github.com/PINTO0309/onnx2tf#parameter-replacement
ERROR: Alternatively, if the input OP has a dynamic dimension, use the -b or -ois option to rewrite it to a static shape and try again.
ERROR: If the input OP of ONNX before conversion is NHWC or an irregular channel arrangement other than NCHW, use the -kt or -kat option.
ERROR: Also, for models that include NonMaxSuppression in the post-processing, try the -onwdt option.

- [Unable to convert a model with 3d input shape of dynamic length into tflite int8 format 673](https://github.com/PINTO0309/onnx2tf/issues/673)

What's Changed
* Automatic accuracy compensation `Expand`, `BatchNormalization`, `Gather` by PINTO0309 in https://github.com/PINTO0309/onnx2tf/pull/675


**Full Changelog**: https://github.com/PINTO0309/onnx2tf/compare/1.25.6...1.25.7

- `Concat`
- Bug fix for `Dynamic Resize` optimization pattern.
https://github.com/yakhyo/face-parsing
|ONNX|TFLite|
|:-:|:-:|
|||


What's Changed
* Bug fix for Resize optimization pattern by PINTO0309 in https://github.com/PINTO0309/onnx2tf/pull/672


**Full Changelog**: https://github.com/PINTO0309/onnx2tf/compare/1.25.5...1.25.6

- `Transpose`
- Fixed NHWC flag judgment bug in `Transpose` of ViT for 3D tensor

What's Changed
* Fixed NHWC flag judgment bug in Transpose of ViT for 3D tensor by PINTO0309 in https://github.com/PINTO0309/onnx2tf/pull/671


**Full Changelog**: https://github.com/PINTO0309/onnx2tf/compare/1.25.4...1.25.5

- Addition of automatic INT8 calibration process for RGBA 4-channel images.
- It should be noted that the MS-COCO image set does not include an alpha channel, so this auto-calibration does not allow for decent quantization.
- There is no correlation between the channel being 4 and the input data being an image. Therefore, if the model to be converted is data other than a 4-channel image, automatic calibration should not be used.
- The following means and standard deviations are used as fixed values.
python
mean = np.asarray([[[[0.485, 0.456, 0.406, 0.000]]]], dtype=np.float32)
std = np.asarray([[[[0.229, 0.224, 0.225, 1.000]]]], dtype=np.float32)

- Also, use a fixed value of 0.5 for the alpha channel of the calibration data.
python
new_element_array = np.full((*calib_data.shape[:-1], 1), 0.500, dtype=np.float32)

- [magic_touch.onnx.zip](https://github.com/user-attachments/files/16257725/magic_touch.onnx.zip)
- [[TODO] Add 4 channels of image data to the sample data for quantization 411](https://github.com/PINTO0309/onnx2tf/issues/411)

What's Changed
* Addition of automatic INT8 calibration process for RGBA 4-channel images by PINTO0309 in https://github.com/PINTO0309/onnx2tf/pull/670


**Full Changelog**: https://github.com/PINTO0309/onnx2tf/compare/1.25.3...1.25.4

- Improvements to `ScatterND`.
- Improved conversion stability for `Transpose` -> `Softmax` -> `Transpose` combinations.
- Improved error message regarding OP name error when `GroupConvolution` is included.
- Change `-osd` option to `True` by default.



ERROR: Generation of saved_model failed because the OP name does not match the following pattern. ^[A-Za-z0-9.][A-Za-z0-9_.\\/>-]*$
ERROR: /model.22/cv2.2/cv2.2.2/Conv/kernel
ERROR: Please convert again with the `-osd` or `--output_signaturedefs` option.


What's Changed
* Improvements to `ScatterND`, `Transpose` -> `Softmax` -> `Transpose` combinations by PINTO0309 in https://github.com/PINTO0309/onnx2tf/pull/669


**Full Changelog**: https://github.com/PINTO0309/onnx2tf/compare/1.25.2...1.25.3

- `DepthToSpace`
- Support for `DepthToSpace (CRD mode)` transformation of dynamic tensors with multiple undefined dimensions.
- ONNX: [fp32.onnx.zip](https://github.com/user-attachments/files/16215845/fp32.onnx.zip)
- TFLite: [fp32_float32_dynamic.tflite.zip](https://github.com/user-attachments/files/16215848/fp32_float32_dynamic.tflite.zip)
- INPUT: `float32 [batch_size,3,height,width]`
- OUTPUT: `float32 [batch_size,3,height,width]`

|ONNX|TFLite|
|:-:|:-:|
|<br>||

- [Failed to convert Real-ESRGAN x4-general (NCHW) 563](https://github.com/PINTO0309/onnx2tf/issues/563)

What's Changed
* Support for `DepthToSpace` transformation of dynamic tensors with multiple undefined dimensions by PINTO0309 in https://github.com/PINTO0309/onnx2tf/pull/668


**Full Changelog**: https://github.com/PINTO0309/onnx2tf/compare/1.25.1...1.25.2