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Bump dgl from 2.1.0 to 2.2.1

Open dependabot[bot] opened this issue 6 months ago • 1 comments

Bumps dgl from 2.1.0 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: https://github.com/dmlc/dgl/compare/v2.1.0...v2.2.1

Commits

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dependabot[bot] avatar Aug 07 '24 13:08 dependabot[bot]