PaddlePaddle/X2Paddle
A model conversion tool that translates deep learning models from Caffe, TensorFlow, ONNX, and PyTorch frameworks into PaddlePaddle format.
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X2Paddle is a model migration tool developed by PaddlePaddle that converts inference models and PyTorch training code into the PaddlePaddle framework. It supports 130+ PyTorch operators, 90+ ONNX operators, 90+ TensorFlow operators, and 30+ Caffe operators. The converted models can be deployed using PaddleInference or PaddleLite across CPU, GPU, and Arm devices.
Frequently asked
- What is PaddlePaddle/X2Paddle?
- A model conversion tool that translates deep learning models from Caffe, TensorFlow, ONNX, and PyTorch frameworks into PaddlePaddle format.
- Is X2Paddle open source?
- Yes — PaddlePaddle/X2Paddle is open source, released under the Apache-2.0 license.
- What language is X2Paddle written in?
- PaddlePaddle/X2Paddle is primarily written in Python.
- How popular is X2Paddle?
- PaddlePaddle/X2Paddle has 772 stars on GitHub.
- Where can I find X2Paddle?
- PaddlePaddle/X2Paddle is on GitHub at https://github.com/PaddlePaddle/X2Paddle.