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 | a5b8880749ff58de60653472cd202aa0 |
arch | x86_64 |
build | py310hd6ae3a3_0 |
depends | blas 1.0 mkl, libgcc-ng >=7.5.0, libstdcxx-ng >=7.5.0, mkl >=2021.4.0,<2022.0a0, mkl-service >=2.3.0,<3.0a0, numpy >=1.21,<2.0a0, python >=3.10,<3.11.0a0 |
license | BSD 3-Clause |
md5 | a5b8880749ff58de60653472cd202aa0 |
name | mkl_fft |
platform | linux |
sha1 | 214d9692439e070e9ed1489d028a229ee6a26f9c |
sha256 | 34be3dbd2bdd819f49d4f41c5c8b02be4deec033f359becbe5c69bdf6b0cf3ab |
size | 580138 |
subdir | linux-64 |
timestamp | 1641843696839 |
version | 1.3.1 |