X2Paddle

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X2Paddle is an Open Source & Models tool that converts deep learning models to PaddlePaddle. It supports conversion from Caffe, TensorFlow, ONNX, and PyTorch, and can also migrate PyTorch training projects.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Yes

Skill level

Technical

About

What is X2Paddle?

X2Paddle is a deep learning model conversion tool developed under the PaddlePaddle ecosystem, designed to help users of other deep learning frameworks quickly migrate their models and projects to PaddlePaddle. It supports the conversion of prediction models from major frameworks like Caffe, TensorFlow, ONNX, and PyTorch. Additionally, X2Paddle facilitates the migration of entire PyTorch training projects, including both training and prediction code, to the PaddlePaddle framework. The tool offers detailed API comparison documentation to reduce the time and effort developers spend on migrating models. It boasts support for a wide range of models, covering over 130 PyTorch OPs, 90 ONNX OPs, 90 TensorFlow OPs, and 30 Caffe OPs, making it a comprehensive solution for model migration.

Best used for

Ideal for developers and data scientists who need to convert deep learning models from various frameworks to PaddlePaddle, migrate entire PyTorch training projects, and deploy models efficiently. Especially valuable for those looking to leverage the PaddlePaddle ecosystem and its associated resources.

Common actions

convert deep learning models

migrate PyTorch projects

deploy models to PaddlePaddle

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Capabilities

Key features

Caffe model conversion
TensorFlow model conversion
ONNX model conversion
PyTorch model conversion
PyTorch training project migration
API comparison documentation
Paddle-Lite support

Target Audience

developerdata scientist

Integrations

Not yet documented

Pricing & Plans

Open Source

Free

FAQs

Which deep learning frameworks does X2Paddle support for model conversion?

X2Paddle supports the conversion of prediction models from Caffe, TensorFlow, ONNX, and PyTorch. It also offers specific functionality for migrating entire PyTorch training projects to the PaddlePaddle framework.

Can X2Paddle convert PyTorch training code, not just models?

Yes, X2Paddle provides a feature to migrate PyTorch training projects, including Python code for both training and prediction, to the PaddlePaddle framework. This helps developers quickly transition their entire projects.

What are the minimum environmental requirements to use X2Paddle?

To use X2Paddle, you need Python >= 3.8 and PaddlePaddle >= 2.2.2. Specific framework versions are also required if converting models from TensorFlow, ONNX, or PyTorch.

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AI Agents & Automation › AI Frameworks & Infra Research & Education › Scientific Computing

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