Tlx2onnx

Latest version: v0.0.2

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0.0.2

[TLX2ONNX 0.0.2](https://github.com/tensorlayer/TLX2ONNX/) is a maintenance release. In this release, we have the following changes.

- [Add groupconv2d](https://github.com/tensorlayer/TLX2ONNX/commit/2b08d24545045f1571c9f8d27973ca7a60c49425)
- [Convert SRGAN model test](https://github.com/tensorlayer/TLX2ONNX/commit/472d4fdf7611190b4dedded1a81b7b49f2600367)
- Update Normalization
- [Fix subpixelconv](https://github.com/tensorlayer/TLX2ONNX/commit/f4da04b72fc7cb5f54f9d78aed05a0d4236cff52)
- [Add dynamic_axes](https://github.com/tensorlayer/TLX2ONNX/commit/cddc00fe0f7fa213e94f74c936cfd2e8f7ac40f0)

The project is still a maintenance version, and we would love for you to initiate [Issues](https://github.com/tensorlayer/TLX2ONNX/issues) and [Pull requests](https://github.com/tensorlayer/TLX2ONNX/pulls) to improve the project.

0.0.1

Dear all,
It is our great honour to released [TLX2ONNX](https://github.com/tensorlayer/TLX2ONNX) 0.0.1.

Since June 10, 2022, we have been planning to deploy modeling capabilities for the refinement of [TensorLayerX](https://github.com/tensorlayer/TensorLayerX). After several months of a team effort, we have implemented ONNX Model Exporter for TensorLayerX. Our model export is one-to-one with the neural network layers of TensorLayerX. The list of Layers support can be found [here](https://github.com/tensorlayer/TLX2ONNX/blob/main/OP_LIST.md). We display the input and output shapes of each layer in the ONNX graph for easy model checking and converted the [VGG](https://github.com/tensorlayer/TLX2ONNX/blob/main/tests/export_application/test_export_vgg16.py) network with almost no loss of accuracy.

The project is still a maintenance version, and we would love for you to initiate [Issues](https://github.com/tensorlayer/TLX2ONNX/issues) and [Pull requests](https://github.com/tensorlayer/TLX2ONNX/pulls) to improve the project.

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