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 00:02:57 2025 |
md5 checksum | a210a3bcfb4eb8b205205281a539d8a2 |
arch | x86_64 |
build | py39h807cd23_1 |
build_number | 1 |
depends | blas 1.0 mkl, libgcc-ng >=11.2.0, libstdcxx-ng >=11.2.0, mkl >=2021.4.0,<2022.0a0, mkl-service >=2.3.0,<3.0a0, numpy-base >=1.2.1,<2.0a0, python >=3.9,<3.10.0a0 |
license | BSD-3-Clause |
license_family | BSD |
md5 | a210a3bcfb4eb8b205205281a539d8a2 |
name | mkl_fft |
platform | linux |
sha1 | 187bedaaa7d24b2ae71d1174f03f3e3e771ed249 |
sha256 | c678dae7d82c64323fc66e31f256a2ff32952d7b1efc45474a887aa17c97c2ce |
size | 198286 |
subdir | linux-64 |
timestamp | 1654864168879 |
version | 1.2.1 |