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 00:02:55 2025 |
md5 checksum | 89501dfd25438e3e2d22b74af169cde4 |
arch | x86_64 |
build | py39h54f3939_0 |
depends | blas 1.0 mkl, libgcc-ng >=7.3.0, libstdcxx-ng >=7.3.0, mkl >=2019.4,<2021.0a0, mkl-service >=2,<3.0a0, numpy >=1.16.6,<2.0a0, python >=3.9,<3.10.0a0 |
license | BSD 3-Clause |
md5 | 89501dfd25438e3e2d22b74af169cde4 |
name | mkl_fft |
platform | linux |
sha1 | ff92ff68196fa3f186d87d5921ddff58ef1a9d75 |
sha256 | e167128ee6502be59dadd6a04275914ef0ae3f6e6eec2648492cee158e337423 |
size | 180609 |
subdir | linux-64 |
timestamp | 1614363991480 |
version | 1.3.0 |