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Do not consume unnecessary memory during sharding #7136

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@janEbert janEbert commented Sep 4, 2024

When sharding IterableDatasets, a temporary list is created that is then indexed. There is no need to create a temporary list of a potentially very large step/world size, with standard islice functionality, so we avoid it.

pytest tests/test_distributed.py -k iterable

Runs successfully.

There is no need to create a temporary list of a potentially very large
step/world size.
janEbert added a commit to TrustLLMeu/trustllm-envs that referenced this pull request Sep 4, 2024
Patching can be removed once LLM Foundry uses a `datasets` version that
has huggingface/datasets#7136 integrated.
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