Enabling efficient PODIO data model integration with ONNX for training and inference


PODIO is a data model definition package that provides the necessary functionality to generate C++ and Python code from a high level definition of an event data model in yaml format. EDM4hep is an example of a data model generated with PODIO, which serves as the common event data model for many HEP communities, brought together under the umbrella of the Key4hep project.

With the increasing importance of artificial intelligence and machine learning workflows, there is a need to integate PODIO data models into these workflows. In particular, this may require specification or conversions of array-of-struct or struct-of-array data storage models in PODIO data models or on collections based on these data models.

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