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inIntelPython/mkl_fft (press backspace or delete to remove) import numpy
import mkl_fft
a = numpy.arange(10, dtype=numpy.float16)
numpy.fft.fft(a).dtype
# dtype( complex64 )
mkl_fft.fft(a).dtype
# dtype( complex128 )
mkl_fft.interfaces.numpy_fft.fft(a).dtype ...
vtavana
- Opened on Jul 10
- #204
set_workers from SciPy interface does not work as expected
import mkl_fft.interfaces.scipy_fft as scipy_fft
with scipy_fft.set_workers(0):
print(scipy_fft.get_workers())
# 112
with scipy_fft.set_workers(-1): ...
- Opened on May 5
- #177
irfft returns float64 for an input with dtype of float32
import mkl_fft, numpy
a = numpy.ones(10, dtype= f4 )
mkl_fft.irfft(a).dtype
# dtype( float64 )
numpy.__version__
# 2.2.3
numpy.fft.irfft(a).dtype ...
- Opened on May 5
- #176
https://github.com/IntelPython/mkl_fft/pull/45 introduced _scipy_fft_backend.py which could be used as an argument to
scipy.fft.set_backend().
import sicpy.fft, mkl_fft._scipy_fft_backend as mkl_be
scipy.fft.set_backend(mkl_be) ...
bombaci-vsc
- Opened on Apr 29
- #170
Summary
When I try to run numpy functions on arrays with more than 2**31 -1 elements, I get the following error:
Intel oneMKL ERROR: Parameter 1 was incorrect on entry to vdAbs.
To me, this suggests ...
jankrecke
- 1
- Opened on Apr 23
- #165
mkl_fft currently relies on MKLROOT being set in the environment to build the project (see the build script).
Transitioning to find MKL via CMake and building with scikit-build would improve project maintainability ...
ndgrigorian
- Opened on Apr 15
- #158
When mkl-fft is installed from PyPI pip install mkl_fft, it only declares the following dependencies pip show mkl_fft:
Requires: mkl, numpy
However, this can lead to runtime failures like the following: ...
- 1
- Opened on Apr 10
- #152
The following tests fails on Windows with Python 3.11 and 3.12
tests/third_party/scipy/test_basic.py::test_multiprocess
details summary Click to see the error /summary Process SpawnPoolWorker-2: Traceback ...
- 1
- Opened on Apr 10
- #151
Hello,
Until recently I have been using mkl_fft 1.3.11 on Ubuntu 24.04 and I could install it without issues with uv from the
Intel index.
Relevant section from the pyproject.toml:
[[tool.uv.index]] ...
- 6
- Opened on Apr 3
- #146
The following example works with NumPy but not with mkl_fft.
import numpy
x = numpy.random.random((30, 20, 10))
numpy.fft.fftn(x, s=(10, 20, 10), axes=(0, 1, 2)).shape
# (10, 20, 10)
import mkl_fft, ...
- Opened on Mar 13
- #135
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