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 00:02:42 2025 |
md5 checksum | 8e39abc21446208f8efa84140549e137 |
arch | x86_64 |
build | py312h5eee18b_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 >=3.12,<3.13.0a0 |
license | BSD-3-Clause |
license_family | BSD |
md5 | 8e39abc21446208f8efa84140549e137 |
name | mkl_fft |
platform | linux |
sha1 | 128e991ce3e8d6f4e0756c88857dacaa41c7141b |
sha256 | b0f216cef4b4271a11f64940ec13d4f734bc99bbd0b9f8402a8434e2c3879825 |
size | 210308 |
subdir | linux-64 |
timestamp | 1730824153998 |
version | 1.3.11 |