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 00:02:44 2025 |
md5 checksum | fbf50adcea3be53c05fd6dc34d72ddd2 |
arch | x86_64 |
build | py39h5eee18b_0 |
depends | blas 1.0 mkl, libgcc-ng >=11.2.0, mkl >=2023.1.0,<2024.0a0, mkl-service >=2.3.0,<3.0a0, numpy >=1.16, python >=3.9,<3.10.0a0 |
license | BSD-3-Clause |
license_family | BSD |
md5 | fbf50adcea3be53c05fd6dc34d72ddd2 |
name | mkl_fft |
platform | linux |
sha1 | d61bbc97937d89cb7c22db7f596d3b766a128881 |
sha256 | 84d61ee8da9ee6dc42b0b9c4f970431615d12ccdc9324fbe0e6498dc81c68711 |
size | 222924 |
subdir | linux-64 |
timestamp | 1725370336749 |
version | 1.3.10 |