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* Scripts for converting Checkpoints to SavedModels, and SavedModels …
…to TFJS and TFLite Models.
* Revert Inference models to inheriting from ddsp.training models, rather than a base class (more reliable).
* More robust search for latest checkpoint and latest operative config. Throw error if not found instead of failing silently, put initial train and eval calls in a try statement as the files might not exist yet.
* Helper function for printing shapes of a nested dictionary of tensors.
* Verbose messages on model loading to let you know if you're not actually loading weights.
Not fully functional yet, relies on TF2.5, but that breaks CREPE atm. Should be able to get it working by running:
`pip install -U tensorflow==2.5.0rc0`
after pip installing ddsp
PiperOrigin-RevId: 367523871