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Releases: awslabs/s3-connector-for-pytorch

s3-connector-for-pytorch v1.1.1

12 Dec 12:30
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v1.1.1 (December 11, 2023)

New features

  • Update crates and Mountpoint dependencies
  • Avoid excessive memory consumption when utilizing s3map_dataset. Issue #89
  • Run all tests against S3 and S3 Express

Breaking changes

  • No breaking changes.

Full Changelog: v1.1.0...v1.1.1

PyPi Project

https://pypi.org/project/s3torchconnector/

s3-connector-for-pytorch v1.1.0

29 Nov 17:39
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v1.1.0 (November 29, 2023)

New features

  • The Amazon S3 Connector for PyTorch now supports S3 Express One Zone directory buckets.

Breaking changes

  • No breaking changes.

Full Changelog: v1.0.0...v1.1.0

PyPi Project

https://pypi.org/project/s3torchconnector/

s3-connector-for-pytorch v1.0.0

22 Nov 19:28
926e439
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v1.0.0 (November 22, 2023)

  • The Amazon S3 Connector for PyTorch delivers high throughput for PyTorch training jobs that access and store data in Amazon S3.

New features

  • S3IterableDataset and S3MapDataset, which allow building either an iterable-style or map-style dataset, using your S3
    stored data, by specifying an S3 URI (a bucket and optional prefix) and the region the bucket is in.
  • Support for multiprocess data loading for the above datasets.
  • S3Checkpoint, an interface for saving and loading model checkpoints directly to and from an S3 bucket.

Breaking changes

  • No breaking changes.

PyPi Project

https://pypi.org/project/s3torchconnector/