[Temporal] Pick function optimization

peizhou001 commented 1 month ago

Description

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.

dgl-bot commented 1 month ago

To trigger regression tests:

@dgl-bot run [instance-type] [which tests] [compare-with-branch]; For example: @dgl-bot run g4dn.4xlarge all dmlc/master or @dgl-bot run c5.9xlarge kernel,api dmlc/master

dgl-bot commented 1 month ago

Commit ID: 5060968de4c334a1e32e6678638c656abdc2df4b

Build ID: 1

Status: ✅ CI test succeeded.

Report path: link

Full logs path: link

dgl-bot commented 11 hours ago

Commit ID: d56c188c0f396b5bd134dd27c8212ef510c9a0ef

Build ID: 2

Status: ⚪️ CI test cancelled due to overrun.

Report path: link

Full logs path: link

dgl-bot commented 10 hours ago

Commit ID: e10bfee57432307b97e64e9399bf22f45a272cd9

Build ID: 3

Status: ✅ CI test succeeded.

Report path: link

Full logs path: link