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 00:02:51 2025 |
md5 checksum | 7925324b67fc15a5c65bccf40cf98bf3 |
arch | x86_64 |
build | py310h6feb928_0 |
depends | blas 1.0 mkl, libgcc-ng >=7.5.0, libstdcxx-ng >=7.5.0, mkl >=2021.4.0,<2022.0a0, mkl-service >=2.3.0,<3.0a0, numpy >=1.21,<2.0a0, python >=3.10,<3.11.0a0 |
license | BSD 3-Clause |
md5 | 7925324b67fc15a5c65bccf40cf98bf3 |
name | mkl_fft |
platform | linux |
sha1 | 1f9bd8624b9cb7a6fc63e2f59b54c2a2de93e73d |
sha256 | ee969d1ed16c9e8dc3cdf8d08e05a944be756a6d78465ca8f1e3491c33791aa4 |
size | 584832 |
subdir | linux-64 |
timestamp | 1639978391944 |
version | 1.3.1 |