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Suppressing warnings generated by 5 GraphBolt tests. #6726

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Description

Elimination of the following warnings:

tests/python/pytorch/graphbolt/test_base.py: 2 warnings
tests/python/pytorch/graphbolt/test_feature_fetcher.py: 4 warnings
tests/python/pytorch/graphbolt/test_item_sampler.py: 9 warnings
tests/python/pytorch/graphbolt/test_base.py::test_CopyTo 1 warning
  /usr/local/lib/python3.10/dist-packages/dgl/graphbolt/item_sampler.py:45: DGLWarning: Failed to map item list to `MiniBatch` as the names of items are not provided. Please provide a customized `MiniBatcher`. The item list is returned as is.
    dgl_warning(

Checklist

Please feel free to remove inapplicable items for your PR.

  • 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).
  • 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

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@@ -13,17 +14,20 @@

@unittest.skipIf(F._default_context_str == "cpu", "CopyTo needs GPU to test")
def test_CopyTo():
item_sampler = gb.ItemSampler(gb.ItemSet(torch.randn(20)), 4)
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Actually the original code is not a suggested way to use ItemSampler, to address the warning related to minibatch.

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@drivanov I made a fix to eliminate the warnings in #7054

@Rhett-Ying Rhett-Ying closed this Feb 1, 2024
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4 participants