NumPy-based implementation of Fast Fourier Transform using Intel (R) Math Kernel Library. Supports in-place and out-of-place, 1D and ND complex FFT on arrays of single and double precision with arbitrary memory layout, so long as array strides are multiples of its itemsize.
Uploaded | Mon Mar 31 00:02:56 2025 |
md5 checksum | 65a94cc43803269aaf1771870181f93b |
arch | x86_64 |
build | py38h807cd23_1 |
build_number | 1 |
depends | blas 1.0 mkl, libgcc-ng >=11.2.0, libstdcxx-ng >=11.2.0, mkl >=2021.4.0,<2022.0a0, mkl-service >=2.3.0,<3.0a0, numpy-base >=1.2.1,<2.0a0, python >=3.8,<3.9.0a0 |
license | BSD-3-Clause |
license_family | BSD |
md5 | 65a94cc43803269aaf1771870181f93b |
name | mkl_fft |
platform | linux |
sha1 | 729f08ecb4715f75771010d7a6c0bdaf0d20c99d |
sha256 | 11de4beeaee260fa4470a06d6daeeb0a88563318d51096b7c5d29b6844e406e4 |
size | 200815 |
subdir | linux-64 |
timestamp | 1654864484155 |
version | 1.2.1 |