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 00:02:43 2025 |
md5 checksum | cbadffaeefa1df4c5e269fc4da417f8e |
arch | x86_64 |
build | py311h5eee18b_0 |
depends | blas 1.0 mkl, libgcc-ng >=11.2.0, mkl >=2023.1.0,<2024.0a0, mkl-service >=2.3.0,<3.0a0, numpy >=1.16, python >=3.11,<3.12.0a0 |
license | BSD-3-Clause |
license_family | BSD |
md5 | cbadffaeefa1df4c5e269fc4da417f8e |
name | mkl_fft |
platform | linux |
sha1 | 679f4b5344ea87d5594a185f366589efdf257b5d |
sha256 | 1dfa96757b4bcdb44f89d89a68677fa750c1672d8ea5f8bd526b47040abf301b |
size | 230131 |
subdir | linux-64 |
timestamp | 1725370379952 |
version | 1.3.10 |