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 00:02:47 2025 |
md5 checksum | 500944be8e35ac2d321159e834ebe7a6 |
arch | x86_64 |
build | py310h1128e8f_1 |
build_number | 1 |
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 >=1.21,<2.0a0, python >=3.10,<3.11.0a0 |
license | BSD-3-Clause |
license_family | BSD |
md5 | 500944be8e35ac2d321159e834ebe7a6 |
name | mkl_fft |
platform | linux |
sha1 | fbcd7c5ed6dad5ba08154cd88df1d6214946908a |
sha256 | 03e8e29c7c096e3afdd5abef0e1dc755457c1832f9fba555aa7ff50cb66c6e5d |
size | 211781 |
subdir | linux-64 |
timestamp | 1683207597623 |
version | 1.3.6 |