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 | 9c3876c12fbbd62433262518a9b7c7b0 |
arch | x86_64 |
build | py311ha02d727_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 >=1.23,<2.0a0, python >=3.11,<3.12.0a0 |
license | BSD-3-Clause |
license_family | BSD |
md5 | 9c3876c12fbbd62433262518a9b7c7b0 |
name | mkl_fft |
platform | linux |
sha1 | 6115264161800613620419d97ba7c033954464b4 |
sha256 | a7729cacd2881330a8cfbc36b37bffb6b5ab1b5788952e6e9bbd9f7fcd225ced |
size | 221877 |
subdir | linux-64 |
timestamp | 1683207554389 |
version | 1.3.6 |