[GraphBolt] torch.compile() support for gb.expand_indptr.

[mfbalin]

Description

Details in this document by PyTorch developers: https://docs.google.com/document/d/1W--T6wz8IY8fOI0Vm8BF44PdBgs283QvpelJZWieQWQ/edit?usp=sharing

This PR utilizes torch>=2.2.0 features.

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

[dgl-bot]

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

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[mfbalin]

There is an issue, I hope pytorch developers can help fix it: pytorch/pytorch#121080

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[frozenbugs]

@mfbalin can you fix the build?

[mfbalin]

@mfbalin can you fix the build?

I can not, we need to start depending on Torch 2.2 instead of 2.0. The CI needs to be updated.

[frozenbugs]

@mfbalin can you fix the build?

I can not, we need to start depending on Torch 2.2 instead of 2.0. The CI needs to be updated.

We are deprecating Torch 1.3 (oldest Torch version: 2.0) in DGL 2.1, likely we will not move to 2.2 in near future. If it requires 2.2, let's table the change until then?

[mfbalin]

@mfbalin can you fix the build?

I can not, we need to start depending on Torch 2.2 instead of 2.0. The CI needs to be updated.

We are deprecating Torch 1.3 (oldest Torch version: 2.0) in DGL 2.1, likely we will not move to 2.2 in near future. If it requires 2.2, let's table the change until then?

Sure. Which release of DGL do you think will move to 2.2 do you think?

[mfbalin]

@mfbalin can you fix the build?

I can not, we need to start depending on Torch 2.2 instead of 2.0. The CI needs to be updated.

We are deprecating Torch 1.3 (oldest Torch version: 2.0) in DGL 2.1, likely we will not move to 2.2 in near future. If it requires 2.2, let's table the change until then?

Also, it may be possible to still get this PR through by adding version checks on certain parts of the code. I will see if it is easily doable. Then, maybe we won't have to wait that long.

[dgl-bot]

Commit ID: e412403e361f6b0a9f6038a3808cfa71269855b6

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[mfbalin]

The CI will hopefully pass now.

[dgl-bot]

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[mfbalin]

@frozenbugs got the CI to pass. I think it is ready to review.

[mfbalin]

@Rhett-Ying Can we add torch 2.2 to the CI also so that the code that is enabled only for 2.2 can be tested? For now, I tested locally with a docker container that has 2.2.0a0+81ea7a4.

[dgl-bot]

Commit ID: 42210fdadb90c054ca3c89129474633a7f225705

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