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Insights: IntelPython/mkl_fft
Overview
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- 5 Merged pull requests
- 0 Open pull requests
- 1 Closed issue
- 0 New issues
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1 Release published by 1 person
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v2.0.0
published
Jun 27, 2025
5 Pull requests merged by 2 people
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relax the condition for mkl-devel version for python 3.10
#202 merged
Jun 30, 2025 -
Bump github/codeql-action from 3.29.0 to 3.29.1
#201 merged
Jun 28, 2025 -
Bump github/codeql-action from 3.28.19 to 3.29.0
#199 merged
Jun 14, 2025 -
Bump github/codeql-action from 3.28.18 to 3.28.19
#198 merged
Jun 7, 2025 -
Bump conda-incubator/setup-miniconda from 3.1.1 to 3.2.0
#197 merged
Jun 7, 2025
1 Issue closed by 1 person
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`Intel oneMKL ERROR: Parameter 1 was incorrect on entry to vdAbs.` when numpy array is too large
#165 closed
Jun 6, 2025
4 Unresolved conversations
Sometimes conversations happen on old items that aren’t yet closed. Here is a list of all the Issues and Pull Requests with unresolved conversations.
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Revisit usage of `overwrite_x` parameter
#185 commented on
Jun 30, 2025 • 1 new comment -
Provide Dask interface to mkl_fft
#5 commented on
Jun 6, 2025 • 0 new comments -
Permit building `mkl_fft` with Python 3.13
#164 commented on
Jul 1, 2025 • 0 new comments -
replace `fwd_scale` with `norm` kwarg in `mkl_fft`
#189 commented on
Jun 16, 2025 • 0 new comments