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Releases: IntelPython/mkl_fft

v1.3.0.post0

05 Jul 15:10
f7b2c68
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Update description for Pypi package installation

v1.3.0

24 Feb 23:41
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Support for new in NumPy 1.20 values of norm keyword in numpy.fft interface.

mkl_fft.*fft* functions support forward_scale keyword.

Fixed #48

v1.2.1

10 Feb 16:38
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Includes bug fix #54

v1.2.0

14 Sep 19:49
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Due to removal of deprecated real-to-real FFT with DFTI_CONJUGATE_EVEN_STORAGE=DFTI_COMPLEX_REAL and DFTI_PACKED_FORMAT=DFTI_PACK
from Intel(R) Math Kernel Library, reimplemented mkl_fft.rfft and mkl_fft.irfft to use real-to-complex functionality with subsequent
copying to rearange the transform as expected of mkl_fft.rfft, with the associated performance penalty. The use of the real-to-complex
transform improves multi-core utilization which may offset the performance loss incurred due to copying.

v1.1.0

16 Apr 21:24
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  • Added scipy.fft backend, see #42
  • Fixed #46

v1.0.14

02 Aug 13:12
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Fix for bug in irfftn_numpy for non-default axes.

Update to NumPy interface to adjust to changes to pocketfft in NumPy 1.17

v1.0.13

09 May 15:22
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Fixed memory leak, #39.

v1.0.12

17 Apr 13:38
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Fix for issue #37, as well as performance improvement for fftn and ifftn on real arrays for binaries built with Intel(R) C Compiler.

v1.0.11

14 Mar 13:19
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Inlined multi-iterator routines to improve efficiency of complex ND transforms on real vectors.

v1.0.10

28 Nov 20:53
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Fixes issues #29.

Adds Travis integration.