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Issues: IntelPython/mkl_fft

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16 Open 55 Closed
16 Open 55 Closed
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Issues list

set_workers from SciPy interface does not work as expected
#177 opened May 5, 2025 by vtavana
@vtavana
irfft returns float64 for an input with dtype of float32
#176 opened May 5, 2025 by vtavana
@vtavana
Stable API for scipy FFT backend
#170 opened Apr 29, 2025 by bombaci-vsc
Intel oneMKL ERROR: Parameter 1 was incorrect on entry to vdAbs. when numpy array is too large
#165 opened Apr 23, 2025 by jankrecke
1
Transition to scikit-build
#158 opened Apr 15, 2025 by ndgrigorian
[feature] support arm64
#132 opened Mar 13, 2025 by elijahxb
2
fftshifts?
#106 opened Jun 12, 2024 by brandondube
repeated indices in axes keyword for N-dimensional FFT are ignored
#104 opened May 30, 2024 by vtavana
multiprocessing does not work with mkl_fft
#89 opened Sep 1, 2023 by ysarri
2
Add planning stage in mkl_fft enhancement question
#86 opened Jul 27, 2023 by sanjiyan3
1
Bad performance
#67 opened Aug 27, 2021 by ZhaiFeiyue
Fix performance when using 3d arrays
#59 opened Apr 14, 2021 by slingyropert
Provide source code on PyPI
#58 opened Mar 11, 2021 by asdf8601
1
top-level documentation for inverse real needs clarification jira
#49 opened May 29, 2020 by mdarnold1
3
Provide Dask interface to mkl_fft jira
#5 opened Apr 17, 2018 by jakirkham
3
Additional features in MKL_FFT's API
#2 opened Oct 21, 2017 by RemiLehe
3
ProTip! What’s not been updated in a month: updated:<2025-04-06.