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 00:02:46 2025 |
md5 checksum | cd2bc1a6267a0063ba90f52b7143d570 |
arch | x86_64 |
build | py310h1128e8f_0 |
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 >=1.21,<2.0a0, python >=3.10,<3.11.0a0 |
license | BSD-3-Clause |
license_family | BSD |
md5 | cd2bc1a6267a0063ba90f52b7143d570 |
name | mkl_fft |
platform | linux |
sha1 | d6b782700edee1708765fb77f0a75e9a38fe5aa9 |
sha256 | 9eafbd9a31a336eb8dc00a0a779cd615c4b8f8b81e7efe358eb47d7bcaa0600e |
size | 193335 |
subdir | linux-64 |
timestamp | 1682950431236 |
version | 1.3.6 |