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 00:02:56 2025 |
md5 checksum | a89bca88762c662e736e4c76149a51b8 |
arch | x86_64 |
build | py39h54f3939_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 >=1.16.6,<2.0a0, python >=3.9,<3.10.0a0 |
license | BSD 3-Clause |
md5 | a89bca88762c662e736e4c76149a51b8 |
name | mkl_fft |
platform | linux |
sha1 | 2cd97956281ea1c953eaefae07e7301c7fc06d2c |
sha256 | 2cf6f96de0af103b80f15344c19efa77bc8a99cfd55c9df318bf04678f29099d |
size | 160523 |
subdir | linux-64 |
timestamp | 1613676682979 |
version | 1.2.1 |