{"id":18613960,"url":"https://github.com/enthought/mkl_fft","last_synced_at":"2025-07-31T18:06:01.736Z","repository":{"id":66039665,"uuid":"136470462","full_name":"enthought/mkl_fft","owner":"enthought","description":"Default Repo description from terraform module","archived":false,"fork":false,"pushed_at":"2018-04-20T16:27:36.000Z","size":41,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":3,"default_branch":"master","last_synced_at":"2024-12-27T02:42:42.459Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"bsd-3-clause","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/enthought.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE.txt","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2018-06-07T11:55:47.000Z","updated_at":"2021-06-01T16:25:28.000Z","dependencies_parsed_at":"2023-04-05T03:47:21.726Z","dependency_job_id":null,"html_url":"https://github.com/enthought/mkl_fft","commit_stats":null,"previous_names":[],"tags_count":3,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/enthought%2Fmkl_fft","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/enthought%2Fmkl_fft/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/enthought%2Fmkl_fft/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/enthought%2Fmkl_fft/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/enthought","download_url":"https://codeload.github.com/enthought/mkl_fft/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":239406446,"owners_count":19633024,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":[],"created_at":"2024-11-07T03:24:30.254Z","updated_at":"2025-02-18T03:43:37.487Z","avatar_url":"https://github.com/enthought.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"## ``mkl_fft`` --  a NumPy-based Python interface to Intel (R) MKL FFT functionality\n\n`mkl_fft` started as a part of Intel (R) Distribution for Python* optimizations to NumPy, and is now being released \nas a stand-alone package. It can be installed into conda environment using \n\n```\n   conda install -c intel mkl_fft\n```\n\n---\n\nSince MKL FFT supports performing discrete Fourier transforms over non-contiguously laid out arrays, MKL can be directly\nused on any well-behaved floating point array with no internal overlaps for both in-place and not in-place transforms of \narrays in single and double floating point precision.\n\nThis eliminates the need to copy input arrayy contiguously into an intermediate buffer.\n\n`mkl_fft` directly supports N-dimensional Fourier transforms.\n\nMore details can be found in SciPy 2017 conference proceedings:\n     https://github.com/scipy-conference/scipy_proceedings/tree/2017/papers/oleksandr_pavlyk\n\n---\n\nIt implements the following functions:\n\n### Complex transforms, similar to those in `scipy.fftpack`:\n\n`fft(x, n=None, axis=-1, overwrite_x=False)`\n\n`ifft(x, n=None, axis=-1, overwrite_x=False)`\n\n`fft2(x, shape=None, axes=(-2,-1), overwrite_x=False)`\n\n`ifft2(x, shape=None, axes=(-2,-1), overwrite_x=False)`\n\n`fftn(x, n=None, axes=None, overwrite_x=False)`\n\n`ifftn(x, n=None, axes=None, overwrite_x=False)`\n\n### Real transforms\n\n`rfft(x, n=None, axis=-1, overwrite_x=False)` - real 1D Fourier transform, like `scipy.fftpack.rfft`\n\n`rfft_numpy(x, n=None, axis=-1)` - real 1D Fourier transform, like `numpy.fft.rfft`\n\n`rfft2_numpy(x, s=None, axes=(-2,-1))` - real 2D Fourier transform, like `numpy.fft.rfft2`\n\n`rfftn_numpy(x, s=None, axes=None)` - real 2D Fourier transform, like `numpy.fft.rfftn`\n\n... and similar `irfft*` functions.\n\n\nThe package also provides `mkl_fft._numpy_fft` and `mkl_fft._scipy_fft` interfaces which provide drop-in replacements for equivalent functions in NumPy and SciPy respectively.\n\n--- \n\nTo build ``mkl_fft`` from sources on Linux:\n  - install a recent version of MKL, if necessary;\n  - execute ``source /path/to/mklroot/bin/mklvars.sh intel64`` ; \n  - execute ``pip install .``\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fenthought%2Fmkl_fft","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fenthought%2Fmkl_fft","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fenthought%2Fmkl_fft/lists"}