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samsja merged 4 commits into from
Nov 28, 2022
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fix(docs): correction document description #834

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fix(docs): correction document description
coolmian Nov 23, 2022
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Merge branch 'main' into fix-docs-833
coolmian Nov 24, 2022
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Merge branch 'main' into fix-docs-833
coolmian Nov 25, 2022
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Merge branch 'main' into fix-docs-833
coolmian Nov 25, 2022
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2 changes: 1 addition & 1 deletion docs/advanced/torch-support/index.md
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Expand Up @@ -44,7 +44,7 @@ for d in DocumentArray.load_binary('test.protobuf.gz'):

## Load, map, batch in one-shot

There is a very common pattern in the deep learning engineering: loading big data, mapping it via some function for preprocessing on GPU, and batching it to GPU for intensive deep learning stuff.
There is a very common pattern in the deep learning engineering: loading big data, mapping it via some function for preprocessing on CPU, and batching it to GPU for intensive deep learning stuff.

There are many pitfalls in this pattern when not implemented correctly, to name a few:
- data may not fit into memory;
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