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 00:02:54 2025 |
md5 checksum | a7907679fd422d0b365b7abba03faa2e |
arch | x86_64 |
build | py38h54f3939_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 >=3.8,<3.9.0a0 |
license | BSD 3-Clause |
md5 | a7907679fd422d0b365b7abba03faa2e |
name | mkl_fft |
platform | linux |
sha1 | 7d1fb8f85be363cc717e8e72ad73de6e72fc095b |
sha256 | 7518b894ad2f3f22c12ea26bc2fe5ab95d8ffb6d280eb63a3a10342f8e944aaa |
size | 180992 |
subdir | linux-64 |
timestamp | 1614363679071 |
version | 1.3.0 |