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 00:02:57 2025 |
md5 checksum | c716cfb0ad76f3c0f0bb0e9586e09bd4 |
arch | x86_64 |
build | py38h23d657b_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 >=1.14.6,<2.0a0, python >=3.8,<3.9.0a0 |
license | BSD 3-Clause |
md5 | c716cfb0ad76f3c0f0bb0e9586e09bd4 |
name | mkl_fft |
platform | linux |
sha1 | 0408fcf2b3dc802f00de2dd05037f02cb8ef8a86 |
sha256 | 0d51b07d7b0e3eefd4560a98e144ec49ff4a37bba106d2f4b4b5db18ab480528 |
size | 160576 |
subdir | linux-64 |
timestamp | 1600444504891 |
version | 1.2.0 |