Consider a full training pipeline. Roughly speaking, we can break it up into "preprocessing" and "model", using the distinction that everything that does not (transitively) depend on learnable weights is a preprocessing step.
The question is: are preprocessing steps in scope for ONNX?
The main points in favor are
- Having automatic translation between frameworks of the entire