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 | 19e24b2b7f68a5223c2e8a7281402b80 |
arch | x86_64 |
build | py311h5eee18b_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 <2.0a0, python >=3.11,<3.12.0a0 |
license | BSD-3-Clause |
license_family | BSD |
md5 | 19e24b2b7f68a5223c2e8a7281402b80 |
name | mkl_fft |
platform | linux |
sha1 | f865fe2bd20bc92d0049f66b062a71a9b3b554cb |
sha256 | 8c82347849bd1922a6011ffe3d699a4ecfe080a9f91bdcb63223d2fb4c09b751 |
size | 230324 |
subdir | linux-64 |
timestamp | 1695058405382 |
version | 1.3.8 |