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[Documentation] Add distributed training for PyG Tutorial #8444

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ZhengHongming888
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This documentation belongs to the part of the whole distributed training for PyG.

The initial pages is shown as below.
image

image

There are 8 paragraphs for this documentation:

  1. Graph Partitioning
  2. LocalGraphStore and LocalFeatureStore
  3. Torch RPC and dist Context
  4. Distributed NeighborLoader
  5. Distributed Sampling
  6. Edge Sampling
  7. Installation & Run for Homo/Hetero Example
  8. Run with Launch.py.

if any comments /suggestion please let us know.

Thanks.

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@JakubPietrakIntel JakubPietrakIntel left a comment

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Peer review needed.

@JakubPietrakIntel
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Reviewed docs can be found in #8824, closing this PR.

rusty1s added a commit that referenced this pull request Feb 15, 2024
This PR replaces #8444 with updated and peer reviewed docs for the
distributed training on CPU.

Authors:
@kgajdamo
@ZhengHongming888 
@JakubPietrakIntel

---------

Co-authored-by: Kinga Gajdamowicz <[email protected]>
Co-authored-by: ZhengHongming888 <[email protected]>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: rusty1s <[email protected]>
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3 participants