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 | a2833074f30d814a19dbadd77ed3c50c |
arch | x86_64 |
build | py310h5eee18b_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 >=3.10,<3.11.0a0 |
license | BSD-3-Clause |
license_family | BSD |
md5 | a2833074f30d814a19dbadd77ed3c50c |
name | mkl_fft |
platform | linux |
sha1 | ecf3176ba2388c141ad02e82c95f46ca98704956 |
sha256 | 223fe36f7247b1edb66e2c484e74525538b56f2e540c9daaae309fbcb83d4827 |
size | 221818 |
subdir | linux-64 |
timestamp | 1725370422832 |
version | 1.3.10 |