Onnx2tf

- `common_functions`
- Fixed to avoid a pattern of misjudging the validity of transpositions when the second and subsequent dimensions are all the same value.

**Full Changelog**: https://github.com/PINTO0309/onnx2tf/compare/1.0.42...1.0.43

- `Concat`, `Slice`
- Bug fixes

**Full Changelog**: https://github.com/PINTO0309/onnx2tf/compare/1.0.41...1.0.42

- `Bernoulli`, `RoiAlign`

**Full Changelog**: https://github.com/PINTO0309/onnx2tf/compare/1.0.40...1.0.41

- `Add`, `Mul`, `Sub`, `Div`
- Improved channel_transpose handling
- Added the ability to automatically generate each OP name and assign OP names to ONNX files in the old format. ([sng4onnx](https://github.com/PINTO0309/sng4onnx))
- Improved error messages
- `ERROR: Read this and deal with it. https://github.com/PINTO0309/onnx2tf#parameter-replacement`

**Full Changelog**: https://github.com/PINTO0309/onnx2tf/compare/1.0.39...1.0.40

- Support for Keras H5 format
bash
-oh5, --output_h5


**Full Changelog**: https://github.com/PINTO0309/onnx2tf/compare/1.0.38...1.0.39

- `Concat`
- Support for scalar values
- TensorFlow does not support `Concat` for scalar values, so convert to tensor
- `ArgMax`
- Support for `FusedArgMax`
- https://github.com/tensorflow/models/tree/master/official/projects/edgetpu/vision#argmax-fusion-to-improve-segmentation-model-latency
- convert option
bash
-rafi64, --replace_argmax_to_fused_argmax_and_indicies_is_int64
or
-raff32, --replace_argmax_to_fused_argmax_and_indicies_is_float32


**Full Changelog**: https://github.com/PINTO0309/onnx2tf/compare/1.0.37...1.0.38