Comments (1)
Does the definition of non-native include basic data types like int, str, etc., along with the datatype sets supported by superduperdb such as numpy and torch? Or does it only include basic data types like int and str?
My suggestion, when auto_schema is not disabled, is to:
- First match basic types (int, str, json).
- Match the datatypes supported by superduperdb (numpy, torch, etc.).
- Try using pickle/dill for handling. If unsuccessful, raise an error; if successful, use pickle/dill.
Currently, there is no error handling mechanism for these three cases, and an UnsupportedDatatype error needs to be added.
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Related Issues (20)
- [BUGS-0.2.0] Fix order for information printing
- [MISC] Encode the component’s artifact using the schema of the component.
- [MISC] Rollback the design of the Dataset
- [BUG]: The data on the parent-child relationship of the component is incorrect.
- [MISC]: In the listener, use a meaningful predict_id.
- Make ray job submission fire and forget HOT 1
- [BUGS-0.2.0] Closing session kills ray jobs
- [BUGS-0.2.0] Renew Authentication tokens HOT 5
- [SERIALIZE] Create a consistent and elegant naming convention for leaves
- Delete all logic related to downloads. HOT 6
- Managed artifacts
- Optimize the encoding efficiency of `encode()`
- [BUGS-0.2.0] Fix vector search service rest api call.
- [BUG]: When encoding the Code, an empty key was obtained.
- [PORTABILITY] Allow users to easily bring new functionality and take their functionality elsewhere
- [PORTABILITY] Installable plugins HOT 1
- [REL-CLT] Video of `superduper-protocol`
- [MISC] Re-design `Application` component
- [BUGS-0.2.0] Fix bugs with re-usable snippets buttons and use-cases generation
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