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[Do Not Merge] [Feature]Add cugraph nightly into CI
Description
This PR tries to add cugraph-nightly build to the DGL CI. Please note, this is just an experiment to see if we can take a approach like this for testing.
Related Issue: https://github.com/dmlc/dgl/issues/4324
Checklist
Please feel free to remove inapplicable items for your PR.
- [x] The PR title starts with [$CATEGORY] (such as [NN], [Model], [Doc], [Feature]])
- [ ] Changes are complete (i.e. I finished coding on this PR)
- [ ] All changes have test coverage
- [ ] Code is well-documented
- [ ] 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.
Changes
To trigger regression tests:
@dgl-bot run [instance-type] [which tests] [compare-with-branch]; For example:@dgl-bot run g4dn.4xlarge all dmlc/masteror@dgl-bot run c5.9xlarge kernel,api dmlc/master
Commit ID: f0f8089a0306652c09ecaebd40d16bfc4085ec48
Build ID: 1
Status: ❌ CI test failed in Stage [PyTorch Cugraph GPU Build].
Report path: link
Full logs path: link
Commit ID: 34eae16de69832037763452d754e97da97d79143
Build ID: 2
Status: ❌ CI test failed in Stage [PyTorch Cugraph GPU Build].
Report path: link
Full logs path: link
Nightly build is not quite stable? Why not pick up the incoming stable one: nvcr.io/nvidia/pytorch:22.08-py3? is this the stable counterpart of the nightly build you're using?
