Dynamo Backends

The main backend relies on onnxruntime to execute the ONNX graphs through function onnx_custom_backend can be customized to specify different parameter when launching the model. Example 101: A custom backend for torch shows how to use it.

This function can be replaced by onnx_debug_backend to use the onnx reference implementation based on numpy and show the intermediate results.