What is ONNX?

ONNX (Open Neural Network Exchange) serves as an intermediary machine learning framework that facilitates the conversion between various machine learning frameworks such as TensorFlow, TensorRT, PyTorch, and TFLite. It aims to provide a standardized platform by implementing a wide range of neural network functions to support cross-framework compatibility. However, due to its open-source nature and the rapid pace of advancements in machine learning research, version compatibility issues may arise, necessitating frequent updates or modifications of models to ensure smooth transitions between frameworks.