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 00:02:58 2025 |
md5 checksum | 637bb27a560c223bbc3d9e1e033ac926 |
arch | x86_64 |
build | py38h23d657b_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 >=1.14.6,<2.0a0, python >=3.8,<3.9.0a0 |
license | BSD 3-Clause |
md5 | 637bb27a560c223bbc3d9e1e033ac926 |
name | mkl_fft |
platform | linux |
sha1 | fabcb5c2d362d724e356c1cd30878f3b7221d3eb |
sha256 | 91872b39b4454f066caaf8add1c6d1580dd17098e8e84c87495d0ec2003b2792 |
size | 153438 |
subdir | linux-64 |
timestamp | 1592406998848 |
version | 1.1.0 |