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Stream<Row> -> FrameworkDataset
Wrap a thread-safe background row-generator stream into PyTorch IterableDataset or TensorFlow Dataset adapters.
Problem it solves
Duplicating high-performance, multithreaded IO code for different deep learning framework APIs is error-prone.
Consumes
Emits
The real projects this mechanism was found in. Attribution is the point — this is how the best teams actually do it.