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 | 629b503bd4d1c5244f6dec56eb6b83fa |
arch | x86_64 |
build | py39hd3c417c_0 |
depends | blas 1.0 mkl, libgcc-ng >=7.5.0, libstdcxx-ng >=7.5.0, mkl >=2021.3.0,<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 | 629b503bd4d1c5244f6dec56eb6b83fa |
name | mkl_fft |
platform | linux |
sha1 | 4249e83e83ed38b9e46e1224616f02e7c978f72f |
sha256 | 02adf9b03e7499b9cc0193ed29d5efb4ca65823db5b6b3fb1c509f8f0d7a93fd |
size | 186291 |
subdir | linux-64 |
timestamp | 1634566416657 |
version | 1.3.1 |