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cuGraph-PyG Should Test Training in CI #3807

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Tracked by #3806
alexbarghi-nv opened this issue Aug 16, 2023 · 0 comments · Fixed by #3795
Closed
Tracked by #3806

cuGraph-PyG Should Test Training in CI #3807

alexbarghi-nv opened this issue Aug 16, 2023 · 0 comments · Fixed by #3795
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improvement Improvement / enhancement to an existing function
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@alexbarghi-nv
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Currently, we only test compatibility with models as part of benchmarking. In order to catch issues before they appear there, we should have a basic training test that passes in output samples from cuGraph-PyG into a model. This would be mostly a smoke test; the other tests should verify that the output of cuGraph-PyG is correct, regardless.

@alexbarghi-nv alexbarghi-nv self-assigned this Aug 16, 2023
@alexbarghi-nv alexbarghi-nv added the improvement Improvement / enhancement to an existing function label Aug 16, 2023
@alexbarghi-nv alexbarghi-nv added this to the 23.10 milestone Aug 16, 2023
rapids-bot bot pushed a commit that referenced this issue Sep 25, 2023
Consolidates various speed improvements tested while running performance benchmarks.  Avoids copying batch data, removes redundant data loading code, simplifies and improves de-offsetting, even though that is now being bypassed entirely for homogeneous graphs.  Removes extra host to device copy.  Properly flips the src/dst columns in the returned `HeteroData` minibatch objects, avoid exposing this to the end user.

I've confirmed this cuts the MFG time by a factor of 4.

Closes #3807

Authors:
  - Alex Barghi (https://github.com/alexbarghi-nv)

Approvers:
  - Vibhu Jawa (https://github.com/VibhuJawa)
  - Don Acosta (https://github.com/acostadon)
  - Brad Rees (https://github.com/BradReesWork)

URL: #3795
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