IntelPython/mkl_fft
NumPy-based Python interface to Intel (R) MKL FFT functionality
PythonBSD-3-Clause
Issues
- 0
`IndexError` for N-dimensional real FFT
#119 opened by vtavana - 0
result discrepancy of `mkl_fft.irfftn_numpy` integer data types and float data types
#116 opened by vtavana - 0
`mkl_fft.irfftn_numpy` returns incorrect shape
#115 opened by vtavana - 11
ValueError: Internal error occurred: b'Intel MKL DFTI ERROR: Inconsistent configuration parameters' for certain shapes in _numpy_fft.rfft
#57 opened by JesseLivezey - 5
- 0
Incorrect result for integer input
#109 opened by vtavana - 0
`fftn` of zero size arrays
#110 opened by vtavana - 0
Error in calling `fftn` with an empty `axes`
#108 opened by vtavana - 0
- 4
- 0
fftshifts?
#106 opened by brandondube - 0
Getting error when trying to import numpy 1.23.5 with mkl_fft >1.3.8 in Python 3.8 environment
#105 opened by DManowitz - 1
Provide source code on PyPI
#58 opened by mmngreco - 3
- 1
numpy version
#91 opened by Liyukee - 1
Array size and scipy.sosfiltfilt()
#82 opened by ErikBsly - 4
- 2
multiprocessing does not work with mkl_fft
#89 opened by ysarri - 1
Add planning stage in mkl_fft
#86 opened by sanjiyan3 - 3
- 0
numpy distutils creates a deprecated warning.
#81 opened by blasscoc - 9
- 0
non-native endianness ndarrays cause a crash, instead of silent conversion to native endianness
#74 opened by brandondube - 10
- 1
Confusing results from FFT
#68 opened by entelecheia1963 - 1
pip install mkl-fft==1.0.15 , version not found
#70 opened by taomanwai - 6
Pip version older than conda version
#36 opened by blalterman - 2
Git push heroku master error : Could not find a version that satisfies the requirement mkl-random==1.2.1
#60 opened by debasissil-python - 0
Bad performance
#67 opened by ZhaiFeiyue - 2
- 2
numpy.fft.fft2 raises AssertionError
#64 opened by densmirn - 0
Limitation of: Data size of one of transform dimensions exceeds 2^31 - 1 bytes
#62 opened by JesseLivezey - 2
- 0
Fix performance when using 3d arrays
#59 opened by slingyropert - 0
_scipy_fft_backend has global side-effects
#53 opened by peterbell10 - 1
Wheels for newer python versions
#51 opened by gajrajgchouhan - 2
rfft fails for large data
#50 opened by lucastepper - 3
- 0
Provide Python 3.7 wheels on PyPi
#34 opened by robbmcleod - 1
Handling arrays with array.shape[i] == 0
#46 opened by JesseLivezey - 0
Provide an interface for scipy.fft
#42 opened by peterbell10 - 0
- 1
- 8
Getting ValueError: Internal error in both OS X and CentOS, with anaconda, python 3.6, mkl 1.0.6, numpy 1.15.1.
#24 opened by oleksandr-pavlyk - 0
mkl_fft pypi package crashes on import
#31 opened by sk1p - 2
Reduce size of dependencies
#27 opened by rth - 2
- 3
- 13
Weird behavior with FFT on array views
#21 opened by david-hoffman - 2