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Distributed Convolution via FFT #1291
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Distributed Convolution via FFT #1291
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Thank you for the PR! |
Codecov ReportAttention:
Additional details and impacted files@@ Coverage Diff @@
## main #1291 +/- ##
==========================================
- Coverage 91.81% 87.34% -4.48%
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Files 79 79
Lines 11463 11559 +96
==========================================
- Hits 10525 10096 -429
- Misses 938 1463 +525
Flags with carried forward coverage won't be shown. Click here to find out more. ☔ View full report in Codecov by Sentry. |
…logous to how they do it in SciPy
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Thank you for the PR! |
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After a first quick look, this looks very good 👍 |
…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! |
…itrary_dimension_and_with_arbitrary_kernel_size
for more information, see https://pre-commit.ci
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Thank you for the PR! |
…itrary_dimension_and_with_arbitrary_kernel_size
for more information, see https://pre-commit.ci
…itrary_dimension_and_with_arbitrary_kernel_size
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This pull request is stale because it has been open for 60 days with no activity. |
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This pull request was closed because it has been inactive for 60 days since being marked as stale. |

Due Diligence
mainfor new features, latest release branch (e.g.release/1.3.x) for bug fixesDescription
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