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dmlc
[GraphBolt] change default value of persistent_workers to False
Description
to be consistent with default value in torch.utils.data.DataLoader which is False in default.
I don't specify persistent_workers=True explicitly for our examples as num_workers=0 is used in default. And I'd like to see if such change triggers regression.
Checklist
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.
- [ ] The PR is complete and small, read the Google eng practice (CL equals to PR) to understand more about small PR. In DGL, we consider PRs with less than 200 lines of core code change are small (example, test and documentation could be exempted).
- [ ] 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:
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@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: a40f283632ae52d0e1736e1459f126b190b51494
Build ID: 1
Status: ⚪️ CI test cancelled due to overrun.
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Commit ID: 9e836de20d8133cc32040fd4dc44dc10154d2bb4
Build ID: 2
Status: ❌ CI test failed in Stage [Torch CPU (Win64) Unit test].
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Full logs path: link
Commit ID: 9ea15da7afab433ce558f93bcda16308a0e11903
Build ID: 3
Status: ✅ CI test succeeded.
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