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 00:02:55 2025 |
md5 checksum | 2fe791ae29b9fe15a93260ddce8c9977 |
arch | x86_64 |
build | py38h54f3939_0 |
depends | blas 1.0 mkl, libgcc-ng >=7.3.0, libstdcxx-ng >=7.3.0, mkl >=2019.4,<2021.0a0, mkl-service >=2,<3.0a0, numpy >=1.16.6,<2.0a0, python >=3.8,<3.9.0a0 |
license | BSD 3-Clause |
md5 | 2fe791ae29b9fe15a93260ddce8c9977 |
name | mkl_fft |
platform | linux |
sha1 | 591d9f062d0e7faf79705229bcef5f832a193aa0 |
sha256 | 35a5af403c40012e53c1a3fe79109896a4942d34b2cf267a04f7cf8296d56c2e |
size | 161158 |
subdir | linux-64 |
timestamp | 1613676650333 |
version | 1.2.1 |