ONNX

What is ONNX?

ONNX is a pivotal tool in the artificial intelligence industry, facilitating the seamless transition of machine learning models between different frameworks. Created by Microsoft and Facebook, ONNX allows developers to train models in one framework, such as PyTorch, and then deploy them in another, like TensorFlow, without having to reimplement the model. This interoperability is crucial as it saves time, reduces errors, and enhances collaboration across different teams. ONNX supports a wide array of operators, making it versatile for various types of models including deep learning, classical machine learning, and even traditional statistical models.

ONNX (Open Neural Network Exchange) is an open-source format designed for the interchange of machine learning models.

Examples

• A data scientist trains a convolutional neural network (CNN) using PyTorch for image classification. By converting the model to ONNX format, the same model can be deployed in a production environment that uses TensorFlow, ensuring consistency and reliability.


• An AI research team develops a natural language processing (NLP) model using MXNet. By exporting the model to ONNX, they can easily share it with collaborators who use a different framework, like Microsoft Cognitive Toolkit (CNTK), facilitating broader research and application.

Additional Information

• ONNX is supported by a wide range of hardware and software vendors, ensuring broad compatibility and performance optimization.


• The ONNX community is active and continuously evolving, contributing new operators and expanding its capabilities to support emerging AI technologies.