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 00:02:41 2025 |
md5 checksum | 7451c60b55bf0afdb0b800bd64ae1878 |
arch | x86_64 |
build | py310h5eee18b_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 >=3.10,<3.11.0a0 |
license | BSD-3-Clause |
license_family | BSD |
md5 | 7451c60b55bf0afdb0b800bd64ae1878 |
name | mkl_fft |
platform | linux |
sha1 | 9b3cb2bea1a03e3d56dae631dba8e8085ef032d1 |
sha256 | 30e71674fbbb2c43272249cf0c30b8134d9a9985d0fcb8b207f184f26270d94d |
size | 203213 |
subdir | linux-64 |
timestamp | 1730824196199 |
version | 1.3.11 |