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 00:02:53 2025 |
md5 checksum | 466c36695155a88248c4cde9871309e2 |
arch | x86_64 |
build | py38h42c9631_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 >=3.8,<3.9.0a0 |
license | BSD 3-Clause |
md5 | 466c36695155a88248c4cde9871309e2 |
name | mkl_fft |
platform | linux |
sha1 | 3e903d6d37fcfeff4be9871e3ed601ac2745ce4c |
sha256 | d3a407b82a9f5c60407663f856bc24f7e2052fab1595d78c277ff8400d00ba57 |
size | 184714 |
subdir | linux-64 |
timestamp | 1618854093151 |
version | 1.3.0 |