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 00:02:52 2025 |
md5 checksum | f0cb7b8e06ed6eef75a1ba9c01a4550c |
arch | x86_64 |
build | py38hd3c417c_0 |
depends | blas 1.0 mkl, libgcc-ng >=7.5.0, libstdcxx-ng >=7.5.0, mkl >=2021.3.0,<2022.0a0, mkl-service >=2.3.0,<3.0a0, numpy >=1.16,<2.0a0, python >=3.8,<3.9.0a0 |
license | BSD 3-Clause |
md5 | f0cb7b8e06ed6eef75a1ba9c01a4550c |
name | mkl_fft |
platform | linux |
sha1 | fed51b8d555ad0dd41c9965974fe3f8f619f1f52 |
sha256 | 08d00049727bf4cca8719cc8a32b80efc23667268d5583d620770e9442a9e686 |
size | 184750 |
subdir | linux-64 |
timestamp | 1634566418352 |
version | 1.3.1 |