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Currently IterableDataset (and possibly some map datasets) rely on torch.utils.data.get_worker_info. To ensure drop-in compatibility, we should make sure this works correctly for ParallelMapper by setting the environment up correctly. We could do this directly in ParallelMapper, or in a new IterableDatasetWrapper class.
Alternatives
No response
Additional context
No response
The text was updated successfully, but these errors were encountered:
🚀 The feature
Support for torch.utils.data.IterableDataset
Motivation, pitch
Currently IterableDataset (and possibly some map datasets) rely on torch.utils.data.get_worker_info. To ensure drop-in compatibility, we should make sure this works correctly for ParallelMapper by setting the environment up correctly. We could do this directly in ParallelMapper, or in a new IterableDatasetWrapper class.
Alternatives
No response
Additional context
No response
The text was updated successfully, but these errors were encountered: