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 00:02:45 2025 |
md5 checksum | 88f740ce6b4924bb6cb3507cfd631468 |
arch | x86_64 |
build | py312h5eee18b_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 >=3.12,<3.13.0a0 |
license | BSD-3-Clause |
license_family | BSD |
md5 | 88f740ce6b4924bb6cb3507cfd631468 |
name | mkl_fft |
platform | linux |
sha1 | 583603023132397ad89c4fef1722f0f688c9f9f6 |
sha256 | 10ff6aaa0f48c222ce3fdef14d372415ba6271b66077b93177d9e10e077b2cb1 |
size | 209081 |
subdir | linux-64 |
timestamp | 1698845718055 |
version | 1.3.8 |