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 00:02:51 2025 |
md5 checksum | feb073f118f565f5aeba660919552d08 |
arch | x86_64 |
build | py39h417a72b_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 >=3.9,<3.10.0a0 |
license | BSD-3-Clause |
license_family | BSD |
md5 | feb073f118f565f5aeba660919552d08 |
name | mkl_fft |
platform | linux |
sha1 | 1e3c831ec48697a173d7dbe1493f5f210fe5d776 |
sha256 | 3708637009b06dc485b45c8f02a1acb508bc2df808ee723d25b2ad95b799fdb0 |
size | 216287 |
subdir | linux-64 |
timestamp | 1683207685375 |
version | 1.3.6 |