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(InMemoryDataset, TargetFramework) -> NativeBatch
Dynamically cast an underlying memory-mapped column pointer to target framework tensors (like PyTorch, NumPy, or JAX) on serialization/retrieval without duplicating memory.
Problem it solves
Copying large datasets when converting between data analysis libraries and machine learning framework memory layouts creates RAM bottlenecks.
Consumes
Emits
The real projects this mechanism was found in. Attribution is the point — this is how the best teams actually do it.