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 00:02:59 2025 |
| md5 checksum | 95f67e71a051f3c4b8e31f6d9476e45b |
| arch | x86_64 |
| build | py38h423224d_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-base >=1.0.6,<2.0a0, python >=3.8,<3.9.0a0 |
| license | BSD 3-Clause |
| md5 | 95f67e71a051f3c4b8e31f6d9476e45b |
| name | mkl_fft |
| platform | linux |
| sha1 | 1ac248c9c490ba37dc4abe7799347ae056590a86 |
| sha256 | 468c9b76b21dfcb7e368ab7a96507f0cbc74c68ba4e4389abb0e8ed7dc306e57 |
| size | 190052 |
| subdir | linux-64 |
| timestamp | 1580495288476 |
| version | 1.0.6 |