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 00:02:59 2025 |
md5 checksum | 413f14300d786a52ebf7417a4e6ffffa |
arch | x86_64 |
build | py39h63df603_0 |
depends | blas 1.0 mkl, libgcc-ng >=7.3.0, libstdcxx-ng >=7.3.0, mkl >=2019.4,<2021.0a0, mkl-service >=2,<3.0a0, numpy-base >=1.0.6,<2.0a0, python >=3.9,<3.10.0a0 |
license | BSD 3-Clause |
md5 | 413f14300d786a52ebf7417a4e6ffffa |
name | mkl_fft |
platform | linux |
sha1 | 415db7f47bf5641468867a6ab219552c7bb9c4ab |
sha256 | f9dad7d70f088e5bb8fe4a9868c21f2e7da5a2acc96a3d430b0e2a9c4911ed92 |
size | 176370 |
subdir | linux-64 |
timestamp | 1607432338100 |
version | 1.0.6 |