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 00:02:54 2025 |
md5 checksum | b34caac71202b6cabf25e204ca4de7af |
arch | x86_64 |
build | py39h42c9631_2 |
build_number | 2 |
depends | blas 1.0 mkl, libgcc-ng >=7.3.0, libstdcxx-ng >=7.3.0, mkl >=2021.2.0,<2022.0a0, mkl-service >=2.3.0,<3.0a0, numpy >=1.16,<2.0a0, python >=3.9,<3.10.0a0 |
license | BSD 3-Clause |
md5 | b34caac71202b6cabf25e204ca4de7af |
name | mkl_fft |
platform | linux |
sha1 | d6c5c19754acad6e1a8b9cbf581a1ba1630ad713 |
sha256 | fbf574add25dd62f5f1df6b41098017e758bf95a4029a4fa7219ffaff92d6774 |
size | 183018 |
subdir | linux-64 |
timestamp | 1618854090397 |
version | 1.3.0 |