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Distributed Convolution via FFT #1291

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@LScheib LScheib commented Dec 7, 2023

Due Diligence

  • General:
    • base branch must be main for new features, latest release branch (e.g. release/1.3.x) for bug fixes
    • title of the PR is suitable to appear in the Release Notes
  • Implementation:
    • unit tests: all split configurations tested
    • unit tests: multiple dtypes tested
    • documentation updated where needed

Description

Issue/s resolved: #1248

Changes proposed:

Type of change

Memory requirements

Performance

Does this change modify the behaviour of other functions? If so, which?

yes / no

@LScheib LScheib self-assigned this Dec 7, 2023
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ghost commented Dec 7, 2023

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github-actions bot commented Dec 7, 2023

Thank you for the PR!

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codecov bot commented Dec 7, 2023

Codecov Report

Attention: 87 lines in your changes are missing coverage. Please review.

Comparison is base (02028b9) 91.81% compared to head (38d9fc7) 87.34%.
Report is 3 commits behind head on main.

❗ Current head 38d9fc7 differs from pull request most recent head be025ad. Consider uploading reports for the commit be025ad to get more accurate results

Files Patch % Lines
heat/core/signal.py 13.00% 87 Missing ⚠️
Additional details and impacted files
@@            Coverage Diff             @@
##             main    #1291      +/-   ##
==========================================
- Coverage   91.81%   87.34%   -4.48%     
==========================================
  Files          79       79              
  Lines       11463    11559      +96     
==========================================
- Hits        10525    10096     -429     
- Misses        938     1463     +525     
Flag Coverage Δ
unit 87.34% <13.00%> (-4.48%) ⬇️

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github-actions bot commented Dec 8, 2023

Thank you for the PR!

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mrfh92 commented Dec 8, 2023

After a first quick look, this looks very good 👍
Depending on how close your implementation follows the one in SciPy, we should probably add a citation (sth like "Our implementation closely follows the one of fftconvolve in SciPy; see [link]...")

@LScheib LScheib removed their assignment Dec 21, 2023
Hoppe and others added 5 commits January 10, 2024 14:33
…itrary_dimension_and_with_arbitrary_kernel_size
…nsion_and_with_arbitrary_kernel_size' of github.com:helmholtz-analytics/heat into features/1248-Distributed_convolution_in_arbitrary_dimension_and_with_arbitrary_kernel_size
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Thank you for the PR!

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Thank you for the PR!

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Distributed convolution in arbitrary dimension and with arbitrary kernel size
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