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 00:02:46 2025 |
md5 checksum | c831e905ab901d1565bdc29455e52f06 |
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 <2.0a0, python >=3.9,<3.10.0a0 |
license | BSD-3-Clause |
license_family | BSD |
md5 | c831e905ab901d1565bdc29455e52f06 |
name | mkl_fft |
platform | linux |
sha1 | 3b0ce0b9e03e303708749f9ebf039a11ff755e3f |
sha256 | c19ec340303c325ba6253bcebc6bfec2a7c49d91d90e839f15f2f4627002e8cb |
size | 220797 |
subdir | linux-64 |
timestamp | 1695058347376 |
version | 1.3.8 |