Onnx2tf

- `ReduceL1`, `ReduceL2`
- Fixed the logic to avoid a TensorFlow bug that caused the output tensor of `tf.norm()` to be `(None, None, None, None)`.
- TensorFlow bugs when converting a model that includes `ReduceL1` or `ReduceL2`.

INFO: 20 / 819
INFO: onnx_op_type: ReduceL2 onnx_op_name: wa/model/stages/stages.0/blocks/blocks.0/mlp/grn/ReduceL2
INFO: input_name.1: wa/model/stages/stages.0/blocks/blocks.0/mlp/act/Mul_1_output_0 shape: [1, 56, 56, 512] dtype: float32
INFO: output_name.1: wa/model/stages/stages.0/blocks/blocks.0/mlp/grn/ReduceL2_output_0 shape: [1, 1, 1, 512] dtype: float32
INFO: tf_op_type: l2_normalize
INFO: input.1.x: name: tf.math.multiply_8/Mul:0 shape: (1, 56, 56, 512) dtype: <dtype: 'float32'>
INFO: input.2.axis: val: [1, 2]
INFO: output.1.output: name: tf.compat.v1.norm_6/norm/transpose_1:0 shape: (None, None, None, None) dtype: <dtype: 'float32'>

- [convnextv2_base timm model conversion fails 742](https://github.com/PINTO0309/onnx2tf/issues/742)

What's Changed
* Fixed the logic to avoid a TensorFlow bug that caused the output tensor of `tf.norm()` to be `(None, None, None, None)` by PINTO0309 in https://github.com/PINTO0309/onnx2tf/pull/743


**Full Changelog**: https://github.com/PINTO0309/onnx2tf/compare/1.26.8...1.26.9

- `GatherElements`
- Improved conversion stability.

What's Changed
* Fixed so that the URL for downloading the flatc binary is changed for each CPU architecture to be built. by PINTO0309 in https://github.com/PINTO0309/onnx2tf/pull/736
* Typo: matrix.platforms -> matrix.platform by PINTO0309 in https://github.com/PINTO0309/onnx2tf/pull/737
* Improved conversion stability of `GatherElements` by PINTO0309 in https://github.com/PINTO0309/onnx2tf/pull/739


**Full Changelog**: https://github.com/PINTO0309/onnx2tf/compare/1.26.7...1.26.8

- `DequantizeLinear`
- Fixed the broadcast processing when `x_scale` is 1D 1Elem.
- [best.onnx.zip](https://github.com/user-attachments/files/18505302/best.onnx.zip)
- `onnx2tf -i best.onnx -ois images:1,3,512,640`
- [DequantizeLinear.py can't compile layer when x_scale_rank == 1 733](https://github.com/PINTO0309/onnx2tf/issues/733)

What's Changed
* Fixed the broadcast processing when `x_scale` is 1D 1Elem by PINTO0309 in https://github.com/PINTO0309/onnx2tf/pull/735


**Full Changelog**: https://github.com/PINTO0309/onnx2tf/compare/1.26.6...1.26.7

- arm64 hosted runner image deploy test
- https://github.com/PINTO0309/onnx2tf/issues/653
- https://github.com/PINTO0309/onnx2tf/pull/659
- https://github.com/PINTO0309/onnx2tf/pull/660
- https://github.com/PINTO0309/onnx2tf/pull/661
- `flatc` arm64 binary

What's Changed
* arm64 hosted runner image deploy test by PINTO0309 in https://github.com/PINTO0309/onnx2tf/pull/734


**Full Changelog**: https://github.com/PINTO0309/onnx2tf/compare/1.26.5...1.26.6

- `NonMaxSuppression`
- Enable selection of V4 and V5 for `NonMaxSuppression`.

-snms {v4,v5}, --switch_nms_version {v4,v5}
Switch the NMS version to V4 or V5 to convert.
e.g.
NonMaxSuppressionV4(default): --switch_nms_version v4
NonMaxSuppressionV5: --switch_nms_version v5


- TensorFlow.js / tfjs - register_all_kernels.ts
- wasm

https://github.com/tensorflow/tfjs/blob/master/tfjs-backend-wasm/src/register_all_kernels.ts#L116-L118


- webgl

https://github.com/tensorflow/tfjs/blob/master/tfjs-backend-webgl/src/register_all_kernels.ts#L120-L122


- webgpu

https://github.com/tensorflow/tfjs/blob/master/tfjs-backend-webgpu/src/register_all_kernels.ts#L122-L123


What's Changed
* Enable selection of V4 and V5 for `NonMaxSuppression` by PINTO0309 in https://github.com/PINTO0309/onnx2tf/pull/732


**Full Changelog**: https://github.com/PINTO0309/onnx2tf/compare/1.26.4...1.26.5

- `Add`
- 729 fix shape unmatch workaround
- [Problems when transforming dynamic input models and quantifying static models 729](https://github.com/PINTO0309/onnx2tf/issues/729)

What's Changed
* 729 shape unmatch workaround test by PINTO0309 in https://github.com/PINTO0309/onnx2tf/pull/730


**Full Changelog**: https://github.com/PINTO0309/onnx2tf/compare/1.26.3...1.26.4