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[GraphBolt] CachedFeature can handle hetero features now. #7731

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merged 9 commits into from
Aug 21, 2024

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@mfbalin mfbalin commented Aug 21, 2024

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Please feel free to remove inapplicable items for your PR.

  • The PR title starts with [$CATEGORY] (such as [NN], [Model], [Doc], [Feature]])
  • I've leverage the tools to beautify the python and c++ code.
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  • All changes have test coverage
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  • To the best of my knowledge, examples are either not affected by this change, or have been fixed to be compatible with this change
  • Related issue is referred in this PR
  • If the PR is for a new model/paper, I've updated the example index here.

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@mfbalin mfbalin added the expedited if it doesn't affect the main path approve first to unblock related projects, and review later label Aug 21, 2024
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@mfbalin mfbalin changed the title [GraphBolt] CachedFeature can handle hetero features. [GraphBolt] CachedFeature now can handle hetero features. Aug 21, 2024
@mfbalin mfbalin changed the title [GraphBolt] CachedFeature now can handle hetero features. [GraphBolt] CachedFeature can handle hetero features now. Aug 21, 2024
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@mfbalin mfbalin merged commit c45d299 into dmlc:master Aug 21, 2024
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@mfbalin mfbalin deleted the gb_hetero_cached_feature branch August 21, 2024 17:27
ref = a[feature_key].read(ids)
val = cached_a[feature_key].read(ids)
torch.testing.assert_close(ref, val, rtol=0, atol=0)
assert cached_a[feature_key].miss_rate < 0.69
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why is 0.69? should we add comment here?

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It is just how it is. I tested both the cpu and the gpu and less than 0.69 miss rate is expected.

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