Reduce prefetch pipeline IO cost by 1x of input size #2011
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Summary: After a series of refactor and performance improvement, we combined memory efficient prefetch pipeline to the main prefetch pipeline. pytorch#1972 for details. Therefore, we should update the estimator to reflect the memory usage of new pipeline implementation Reviewed By: henrylhtsang Differential Revision: D57350223
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This pull request was exported from Phabricator. Differential Revision: D57350223 |
levythu
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May 18, 2024
Summary: After a series of refactor and performance improvement, we combined memory efficient prefetch pipeline to the main prefetch pipeline. pytorch#1972 for details. Therefore, we should update the estimator to reflect the memory usage of new pipeline implementation Reviewed By: henrylhtsang Differential Revision: D57350223
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This pull request was exported from Phabricator. Differential Revision: D57350223 |
…r will correctly propagate its storage cost (pytorch#2000) Summary: After FBGEMM TBE support multipass prefetch mode (see pytorch/FBGEMM#2566 for the full context), this diff will enable TorchRec to pass it all through via CacheParams, and shard estimator will recognize the memory saving accordingly. Reviewed By: sarckk Differential Revision: D57055184
Summary: After a series of refactor and performance improvement, we combined memory efficient prefetch pipeline to the main prefetch pipeline. pytorch#1972 for details. Therefore, we should update the estimator to reflect the memory usage of new pipeline implementation Reviewed By: henrylhtsang Differential Revision: D57350223
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This pull request was exported from Phabricator. Differential Revision: D57350223 |
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Summary:
After a series of refactor and performance improvement, we combined memory efficient prefetch pipeline to the main prefetch pipeline.
#1972 for details.
Therefore, we should update the estimator to reflect the memory usage of new pipeline implementation
Differential Revision: D57350223