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 00:02:48 2025 |
md5 checksum | 1b28ce8e8054d5baa92bd7e2b3b656b6 |
arch | x86_64 |
build | py38h417a72b_0 |
depends | blas 1.0 mkl, libgcc-ng >=11.2.0, libstdcxx-ng >=11.2.0, mkl >=2023.1.0,<2024.0a0, mkl-service >=2.3.0,<3.0a0, numpy >=1.16,<2.0a0, python >=3.8,<3.9.0a0 |
license | BSD-3-Clause |
license_family | BSD |
md5 | 1b28ce8e8054d5baa92bd7e2b3b656b6 |
name | mkl_fft |
platform | linux |
sha1 | ab666d7f31ab0d90810b1e980ff64dca0c6ea58d |
sha256 | 62377ea21c8f9820d088e133141a7d94bdc0946f8413e28ddc8dc26c82bdb930 |
size | 200967 |
subdir | linux-64 |
timestamp | 1682950330841 |
version | 1.3.6 |