[GraphBolt][DeprecationWarning]Deprecation warning resolved.

[drivanov]

Description

The following DeprecationWarning is fixed:

  /usr/local/lib/python3.10/dist-packages/dgl/graphbolt/base.py:81: DeprecationWarning: torch.library.impl_abstract 
was renamed to torch.library.register_fake. Please use that instead; we will remove torch.library.impl_abstract in a 
future version of PyTorch.
    @torch.library.impl_abstract("graphbolt::expand_indptr")

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).
• To the best of my knowledge, examples are either not affected by this change, or have been fixed to be compatible with this change

Changes

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[dgl-bot]

Commit ID: 2fff0a3

Build ID: 1

Status: ❌ CI test failed in Stage [Authentication].

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Full logs path: link

[mfbalin]

https://docs.google.com/document/d/1ZuCVyMfibExwvtzhd9cfMWk5zXT3Dhy1b3kuvAIkBoU/edit?usp=sharing

This guide says that pytorch 2.3 or older needs impl_abstract and pytorch > 2.3 needs to use the new way to register the operator. We support pytorch 2.1 or older so we need to fix it in a way that it will continue to work with older pytorch versions.

After the change, do the unit tests pass with pytorch 2.3 and pytorch nightlies?

[mfbalin]

@dgl-bot

[dgl-bot]

Commit ID: 2fff0a3

Build ID: 2

Status: ❌ CI test failed in Stage [Torch CPU (Win64) Unit test].

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Full logs path: link

[mfbalin]

____ ERROR collecting tests/python/pytorch/dataloading/test_dataloader.py _____
tests\python\pytorch\dataloading\test_dataloader.py:6: in <module>
    import backend as F
tests\backend\__init__.py:8: in <module>
    from dgl.nn import *
python\dgl\__init__.py:16: in <module>
    from . import (
python\dgl\dataloading\__init__.py:13: in <module>
    from .dataloader import *
python\dgl\dataloading\dataloader.py:27: in <module>
    from ..distributed import DistGraph
python\dgl\distributed\__init__.py:5: in <module>
    from .dist_graph import DistGraph, DistGraphServer, edge_split, node_split
python\dgl\distributed\dist_graph.py:11: in <module>
    from .. import backend as F, graphbolt as gb, heterograph_index
python\dgl\graphbolt\__init__.py:39: in <module>
    from .base import *
python\dgl\graphbolt\base.py:81: in <module>
    @torch.library.register_fake("graphbolt::expand_indptr")
E   AttributeError: module 'torch.library' has no attribute 'register_fake'

[mfbalin]

#7493 has the fix that continues to work with older pytorch.