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 00:02:58 2025 |
md5 checksum | 00722cdb7c9d7dc0481b8daa1a801c97 |
arch | x86_64 |
build | py38ha843d7b_0 |
depends | blas 1.0 mkl, libgcc-ng >=7.3.0, libstdcxx-ng >=7.3.0, mkl >=2019.4,<2021.0a0, mkl-service >=2,<3.0a0, numpy >=1.11.3,<2.0a0, python >=3.8,<3.9.0a0 |
license | BSD 3-Clause |
md5 | 00722cdb7c9d7dc0481b8daa1a801c97 |
name | mkl_fft |
platform | linux |
sha1 | 14bdc22bc09f547f9bbc5dfabcfd549d45a65862 |
sha256 | e86270068702be6e98ed156d613dd8fe97cfb52aca313dc5dc67874f8e88ca2f |
size | 162779 |
subdir | linux-64 |
timestamp | 1573738232276 |
version | 1.0.15 |