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 00:02:50 2025 |
md5 checksum | e9b93f3ac7178d556ab3aff8ded6ecd8 |
arch | x86_64 |
build | py38h417a72b_1 |
build_number | 1 |
depends | blas 1.0 mkl, libgcc-ng >=11.2.0, libstdcxx-ng >=11.2.0, mkl >=2023.1.0,<2024.0a0, mkl-service >=2.3.0,<3.0a0, numpy >=1.16,<2.0a0, python >=3.8,<3.9.0a0 |
license | BSD-3-Clause |
license_family | BSD |
md5 | e9b93f3ac7178d556ab3aff8ded6ecd8 |
name | mkl_fft |
platform | linux |
sha1 | 087f7ed64e6697ac35201b13dc70a141d644ee8a |
sha256 | 95ca24c4c9af527bd04c8d658ee5a55800c41252618c3af41e5b5c88a7a215ea |
size | 219654 |
subdir | linux-64 |
timestamp | 1683207642674 |
version | 1.3.6 |