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 | 506ff7facc573997302dfa4650d2e356 |
arch | x86_64 |
build | py311ha02d727_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 >=1.23,<2.0a0, python >=3.11,<3.12.0a0 |
license | BSD-3-Clause |
license_family | BSD |
md5 | 506ff7facc573997302dfa4650d2e356 |
name | mkl_fft |
platform | linux |
sha1 | 1058cf244e59b0756c511fe57e6bbc8cd2f01b2c |
sha256 | f85eb7f5985cab8c0e891827db21776c6eeb4d5b24f2bf2fac8015b147f497e0 |
size | 202737 |
subdir | linux-64 |
timestamp | 1682950365224 |
version | 1.3.6 |