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 00:02:43 2025 |
md5 checksum | ade5f6c857bf8abeef97634c4c79b0cd |
arch | x86_64 |
build | py312h5eee18b_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 >=3.12,<3.13.0a0 |
license | BSD-3-Clause |
license_family | BSD |
md5 | ade5f6c857bf8abeef97634c4c79b0cd |
name | mkl_fft |
platform | linux |
sha1 | c50533179b3b4817510f2e15a598beb5e51b2903 |
sha256 | 8416e5189fe27c0373a99795a5379f292ad67b93ec1c3c765a254075b2227f6e |
size | 227962 |
subdir | linux-64 |
timestamp | 1725370292910 |
version | 1.3.10 |