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 | 31f4c29445ed5122b3ff7fec9187acbc |
arch | x86_64 |
build | py39h417a72b_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 >=1.16,<2.0a0, python >=3.9,<3.10.0a0 |
license | BSD-3-Clause |
license_family | BSD |
md5 | 31f4c29445ed5122b3ff7fec9187acbc |
name | mkl_fft |
platform | linux |
sha1 | 5f468caf8a5294f5f86553099c72a083d92516f2 |
sha256 | 98693fe491f329dbfa80065bbd18f5cf9d59873db5ccdcc879c14f00255ef883 |
size | 197622 |
subdir | linux-64 |
timestamp | 1682950398389 |
version | 1.3.6 |