Description
Provides ONNX, an open standard for machine learning model interoperability. It lets tools exchange model graphs and metadata across frameworks, runtimes, and deployment pipelines.
Use it when developing, converting, validating, or packaging machine learning models. Model behavior still depends on operators, runtime support, and input preprocessing.