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 00:02:44 2025 |
md5 checksum | 4b058b917c3ca9a8bdc5d652ee6f1503 |
arch | x86_64 |
build | py310h5eee18b_0 |
depends | blas 1.0 mkl, libgcc-ng >=11.2.0, mkl >=2023.1.0,<2024.0a0, mkl-service >=2.3.0,<3.0a0, numpy <2.0a0, python >=3.10,<3.11.0a0 |
license | BSD-3-Clause |
license_family | BSD |
md5 | 4b058b917c3ca9a8bdc5d652ee6f1503 |
name | mkl_fft |
platform | linux |
sha1 | fa6b6b2c1339f603ff7f587558e97f2b340800e0 |
sha256 | cca70058a7a464f7104180e990c87b55bf54e4816582de28e529abf396b5a203 |
size | 221057 |
subdir | linux-64 |
timestamp | 1695058288927 |
version | 1.3.8 |