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 00:02:45 2025 |
md5 checksum | d1716957ed952f49864a4ebc255037b3 |
arch | x86_64 |
build | py38h5eee18b_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, python >=3.8,<3.9.0a0 |
license | BSD-3-Clause |
license_family | BSD |
md5 | d1716957ed952f49864a4ebc255037b3 |
name | mkl_fft |
platform | linux |
sha1 | f96f1e764615e0454ce304e477c8c29e5b4a9bf1 |
sha256 | a99c96d4c08747db17acf28b0e822e61b9050c3d8c3ae9eec7f374a903489972 |
size | 226253 |
subdir | linux-64 |
timestamp | 1695058229487 |
version | 1.3.8 |