Add distributed reading service dataloader2 train loop #863
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Summary: Pull Request resolved: pytorch#863 * Add the uscase of DataLoader2 with the distributed reading service with the train loop. We plan to have the examples to showcase the advantages: (1) The usage of the DLv2 with popular open source dataset. (2) Integrate datasets/datapipes with different reading service. (3) Datapipe manipulation for example batch, collate, map. (4) Dist usage and examples with features such as sharding_filter for the sharding feature. (5) Eventually add those examples to the pytorch tutorials. Reviewed By: ejguan Differential Revision: D40320257 fbshipit-source-id: 44feda057c84f6b208a229522585c41121740963
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This pull request was exported from Phabricator. Differential Revision: D40320257 |
NivekT
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Oct 25, 2022
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Summary:
the examples to showcase the advantages:
(1) The usage of the DLv2 with popular open source dataset.
(2) Integrate datasets/datapipes with different reading service.
(3) Datapipe manipulation for example batch, collate, map.
(4) Dist usage and examples with features such as sharding_filter for the sharding feature.
(5) Eventually add those examples to the pytorch tutorials.
Reviewed By: ejguan
Differential Revision: D40320257