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chore(deps): bump dgl from 0.9.1 to 2.2.1 #332

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@dependabot dependabot bot commented on behalf of github Feb 12, 2025

Bumps dgl from 0.9.1 to 2.2.1.

Release notes

Sourced from dgl's releases.

v2.2.1

We're thrilled to announce the release of DGL 2.2.1. 🎉🎉🎉

Major Changes

  • The supported PyTorch versions are 2.1.0/1/2, 2.2.0/1/2, 2.3.0. See install command here.
  • MiniBatch in GraphBolt is refactored: seed_nodes and node_paris are replaced with unified seeds attribute through out the pipeline. Refer to the latest examples for more details. by @​yxy235
  • GraphBolt sampling is enabled in DistGL for node classification. See examples here.
  • [GraphBolt] Optimize hetero sampling on CPU by @​RamonZhou in dmlc/dgl#7360
  • [GraphBolt] torch.compile() support for gb.expand_indptr. by @​mfbalin in dmlc/dgl#7188
  • [GraphBolt] Make unique_and_compact deterministic by @​RamonZhou in dmlc/dgl#7217, #7239
  • [GraphBolt] Hyperlink support in subgraph_sampler. by @​yxy235 in dmlc/dgl#7354
  • [GraphBolt] More features of dgl.dataloading.LaborSampler in gb.LayerNeighborSampler, added layer_dependency and batch_dependency parameters. #7205, #7208, #7212, #7220 by @​mfbalin
  • [GraphBolt][CUDA] Faster GPU neighbor sampling and compaction kernels. #7239, #7215 by @​mfbalin
  • [GraphBolt][CUDA] Better hetero CPU&GPU performance via fused kernels. #7223, #7312 by @​mfbalin
  • [GraphBolt][CUDA] GPU synchronizations eliminated throughout the sampling pipeline. #7240, #7264 by @​mfbalin

Bug Fixes

New Contributors

Full Changelog: dmlc/dgl@v2.1.0...v2.2.1

v2.1.0

We're thrilled to announce the release of DGL 2.1.0. 🎉🎉🎉

Major Changes:

  1. CUDA backend of GraphBolt is now available. Thanks @​mfbalin for the extraordinary effort. See the updated examples.
  2. PyTorch 1.13 is not supported any more. The supported PyTorch versions are 2.0.0/1, 2.1.0/1/2, 2.2.0/1.
  3. CUDA 11.6 is not supported any more. The supported CUDA versions are 11.7, 11.8, 12.1.
  4. Data loading performance improvements via pipeline parallelism in #7039 and #6954, see the new gb.DataLoader parameters.
  5. Miscellaneous operation/kernel optimizations.
  6. Add support for converting sampling output of GraphBolt to PyG data format and train with PyG models seamlessly: examples.

Bug Fixes

New Examples

... (truncated)

Commits

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Bumps [dgl](https://github.com/dmlc/dgl) from 0.9.1 to 2.2.1.
- [Release notes](https://github.com/dmlc/dgl/releases)
- [Changelog](https://github.com/dmlc/dgl/blob/master/NEWS.md)
- [Commits](dmlc/dgl@0.9.1...v2.2.1)

---
updated-dependencies:
- dependency-name: dgl
  dependency-type: direct:production
  update-type: version-update:semver-major
...

Signed-off-by: dependabot[bot] <[email protected]>
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dependabot bot commented on behalf of github Feb 12, 2025

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.

@dependabot dependabot bot deleted the dependabot/pip/dgl-2.2.1 branch February 12, 2025 16:03
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