Bump torchdata from 0.7.1 to 0.11.0

[dependabot]

Bumps torchdata from 0.7.1 to 0.11.0.

Release notes

Sourced from torchdata's releases.

TorchData v0.11.0

What's Changed

• Addition of Unbatcher node (#1416 )
• max_concurrent instance check and error message fix (#1420 )
• Out of order implementation in StatefulDataloader (#1423 )
• Addition of CYCLE_FOREVER stop criterion for MultiNodeWeightedSampler node (#1424 )
• generator initial seed setting in RandomSampler (#1441 )
• StatefulDataloader restart behavior when reloaded from a state_dict saved at end of epoch with num_workers=0 (#1439 )

New Contributors

• @​FightingZhen made their first contribution in pytorch/data#1413
• @​kit1980 made their first contribution in pytorch/data#1419
• @​michael-diggin made their first contribution in pytorch/data#1423
• @​mirceamironenco made their first contribution in pytorch/data#1420

Full Changelog: meta-pytorch/data@v0.10.1...v0.11.0 @​andrewkho @​divyanshk @​scotts @​atalman

v0.10.1

What's Changed

This release introduces 3 major changes:

1. Introducing torchdata.nodes, a library of extensible and composable iterators that lets you chain together common dataloading and pre-proc operations! This initial release includes the following features, with more on the way:

   • Multi-threaded paralellism, and experimental support for Free-Threaded (No-GIL) Python, in addition to the typical Multi-process parallelism.
     • Note: FT Python support is experimental, requires Python 3.13t and torch>=2.5.0, and is currently only tested for Linux
   • Multi-dataset weighted sampling
   • State Management through state_dict/load_state_dict methods
   • Near-feature-parity with torch.utils.data.DataLoader, with full support for existing torch.utils.data.Dataset (IterableDataset and persistent_workers coming soon!).
   • Refer to the torchdata.nodes docs for more details.

2. This release drops support for DataPipes and DataLoader2. Release v0.9 was the last stable release which includes them. Please see this issue for more details.

3. PyTorch's official conda channel is deprecated. TorchData has removed its conda builds as well. TorchData will be available for installation through pip, on PyPI and download.pytorch.org.

Full Changelog: meta-pytorch/data@v0.9.0...v0.10.1

@​divyanshk @​ramanishsingh @​andrewkho

TorchData v0.9.0

What's Changed

This was a relatively small release compared to previous. This will notably be the last stable release to feature DataPipes and DataLoader2!

• Drop Python 3.8 support
• Make DistributedSampler stateful by @​ramanishsingh in pytorch/data#1315

New Contributors

• @​jovianjaison made their first contribution in pytorch/data#1314
• @​ramanishsingh made their first contribution in pytorch/data#1315

... (truncated)

Commits

• 377e64c Remove obsolete binary workflows, limit linux to 1 python version (#1447) (#1...
• c4177af Cherry-picking changes in main to the release branch (#1446)
• 89a1c71 fix version in release branch (#1435)
• 6410206 update test_release.yml to v0.11 (#1434)
• 73593dc update Python version in README.md (#1431)
• fcdc8b9 Add tests for out of order with checkpointing (#1428)
• cad6dbe Update _build_test_upload.yml (#1430)
• 5238ca3 Fix max_concurrent instance check and error message (#1420)
• e25df94 [Stateful DL] Add out of order implementation (#1423)
• d6232f1 Fix MultiNodeWeightedSampler tests (#1426)
• Additional commits viewable in compare view

[esoteric-ephemera]

@dependabot rebase

[dependabot]

OK, I won't notify you again about this release, but will get in touch when a new version is available. If you'd rather skip all updates until the next major or minor version, let me know by commenting @dependabot ignore this major version or @dependabot ignore this minor version. You can also ignore all major, minor, or patch releases for a dependency by adding an ignore condition with the desired update_types to your config file.

If you change your mind, just re-open this PR and I'll resolve any conflicts on it.