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Memory Utilities [DFT] [PR-2] #3590

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merged 6 commits into from Oct 4, 2023
Merged

Memory Utilities [DFT] [PR-2] #3590

merged 6 commits into from Oct 4, 2023

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GreatRSingh
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@GreatRSingh GreatRSingh commented Oct 3, 2023

Description

Fix #(issue)

Type of change

Please check the option that is related to your PR.

  • Bug fix (non-breaking change which fixes an issue)
  • New feature (non-breaking change which adds functionality)
  • Breaking change (fix or feature that would cause existing functionality to not work as expected)
    • In this case, we recommend to discuss your modification on GitHub issues before creating the PR
  • Documentations (modification for documents)

Checklist

  • My code follows the style guidelines of this project
    • Run yapf -i <modified file> and check no errors (yapf version must be 0.32.0)
    • Run mypy -p deepchem and check no errors
    • Run flake8 <modified file> --count and check no errors
    • Run python -m doctest <modified file> and check no errors
  • I have performed a self-review of my own code
  • I have commented my code, particularly in hard-to-understand areas
  • I have made corresponding changes to the documentation
  • I have added tests that prove my fix is effective or that my feature works
  • New unit tests pass locally with my changes
  • I have checked my code and corrected any misspellings

def chunkify(a: torch.Tensor, dim: int, maxnumel: int) -> \
Generator[Tuple[torch.Tensor, int, int], None, None]:
"""Splits the tensor `a` into several chunks of size `maxnumel` along the
dimension given by `dim`.
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Add a reference that gives dqc credit for the original code

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Ok to do in a separate PR

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Let's put up a separate PR that correctly attributes credit to DQC for original code in adapted functions

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@rbharath rbharath left a comment

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LGTM

@rbharath rbharath merged commit 5cceefb into deepchem:master Oct 4, 2023
23 of 33 checks passed
@GreatRSingh GreatRSingh deleted the deep-2 branch October 4, 2023 17:09
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2 participants