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 00:02:42 2025 |
md5 checksum | 1931cc4de2b047b6f60858204b8c3f04 |
arch | x86_64 |
build | py39h5eee18b_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 >=1.16, python >=3.9,<3.10.0a0 |
license | BSD-3-Clause |
license_family | BSD |
md5 | 1931cc4de2b047b6f60858204b8c3f04 |
name | mkl_fft |
platform | linux |
sha1 | 1f425ca4ae76eadc7518e3cd8c25988ae69c107a |
sha256 | 06f8bf0713c5eec79f4a3f009ea940efd1f62870ed9dbd0fafb3af20f703dfa4 |
size | 203475 |
subdir | linux-64 |
timestamp | 1730824131745 |
version | 1.3.11 |