Skip to content

Commit 52bea32

Browse files
author
Vahid Tavanashad
committed
alaki
1 parent e1325c5 commit 52bea32

28 files changed

+45346
-12
lines changed

‎_vendored/__pycache__/__init__.cpython-310.pyc

152 Bytes
Binary file not shown.

‎_vendored/__pycache__/conv_template.cpython-310.pyc

8.07 KB
Binary file not shown.

‎build/temp.linux-x86_64-cpython-310/mkl_fft/_pydfti.o

577 KB
Binary file not shown.

‎build/temp.linux-x86_64-cpython-310/mkl_fft/src/mklfft.o

75.7 KB
Binary file not shown.

‎mkl_fft.egg-info/PKG-INFO

Lines changed: 138 additions & 0 deletions
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,138 @@
1+
Metadata-Version: 2.2
2+
Name: mkl_fft
3+
Version: 1.3.11
4+
Summary: MKL-based FFT transforms for NumPy arrays
5+
Home-page: http://github.com/IntelPython/mkl_fft
6+
Download-URL: http://github.com/IntelPython/mkl_fft
7+
Author: Intel Corporation
8+
Maintainer: Intel Corp.
9+
Maintainer-email: [email protected]
10+
License: BSD
11+
Keywords: DFTI,FFT,Fourier,MKL
12+
Platform: Windows
13+
Platform: Linux
14+
Platform: Mac OS-X
15+
Classifier: Development Status :: 5 - Production/Stable
16+
Classifier: Intended Audience :: Science/Research
17+
Classifier: Intended Audience :: Developers
18+
Classifier: License :: OSI Approved
19+
Classifier: Programming Language :: C
20+
Classifier: Programming Language :: Python
21+
Classifier: Programming Language :: Python :: 3
22+
Classifier: Programming Language :: Python :: 3.9
23+
Classifier: Programming Language :: Python :: 3.10
24+
Classifier: Programming Language :: Python :: 3.11
25+
Classifier: Programming Language :: Python :: 3.12
26+
Classifier: Programming Language :: Python :: Implementation :: CPython
27+
Classifier: Topic :: Software Development
28+
Classifier: Topic :: Scientific/Engineering
29+
Classifier: Operating System :: Microsoft :: Windows
30+
Classifier: Operating System :: POSIX
31+
Classifier: Operating System :: Unix
32+
Classifier: Operating System :: MacOS
33+
Requires-Python: >=3.7
34+
Description-Content-Type: text/markdown
35+
License-File: LICENSE.txt
36+
Requires-Dist: numpy>=1.16
37+
Requires-Dist: mkl
38+
Dynamic: author
39+
Dynamic: classifier
40+
Dynamic: description
41+
Dynamic: description-content-type
42+
Dynamic: download-url
43+
Dynamic: home-page
44+
Dynamic: keywords
45+
Dynamic: license
46+
Dynamic: maintainer
47+
Dynamic: maintainer-email
48+
Dynamic: platform
49+
Dynamic: requires-dist
50+
Dynamic: requires-python
51+
Dynamic: summary
52+
53+
## ``mkl_fft`` -- a NumPy-based Python interface to Intel (R) MKL FFT functionality
54+
[![Conda package](https://github.com/IntelPython/mkl_fft/actions/workflows/conda-package.yml/badge.svg)](https://github.com/IntelPython/mkl_fft/actions/workflows/conda-package.yml)
55+
[![Editable build using pip and pre-release NumPy](https://github.com/IntelPython/mkl_fft/actions/workflows/build_pip.yaml/badge.svg)](https://github.com/IntelPython/mkl_fft/actions/workflows/build_pip.yaml)
56+
[![Conda package with conda-forge channel only](https://github.com/IntelPython/mkl_fft/actions/workflows/conda-package-cf.yml/badge.svg)](https://github.com/IntelPython/mkl_fft/actions/workflows/conda-package-cf.yml)
57+
58+
`mkl_fft` started as a part of Intel (R) Distribution for Python* optimizations to NumPy, and is now being released
59+
as a stand-alone package. It can be installed into conda environment using
60+
61+
```
62+
conda install -c https://software.repos.intel.com/python/conda mkl_fft
63+
```
64+
65+
or from conda-forge channel:
66+
67+
```
68+
conda install -c conda-forge mkl_fft
69+
```
70+
71+
---
72+
73+
To install mkl_fft Pypi package please use following command:
74+
75+
```
76+
python -m pip install --index-url https://software.repos.intel.com/python/pypi --extra-index-url https://pypi.org/simple mkl_fft
77+
```
78+
79+
If command above installs NumPy package from the Pypi, please use following command to install Intel optimized NumPy wheel package from Intel Pypi Cloud:
80+
81+
```
82+
python -m pip install --index-url https://software.repos.intel.com/python/pypi --extra-index-url https://pypi.org/simple mkl_fft numpy==<numpy_version>
83+
```
84+
85+
Where `<numpy_version>` should be the latest version from https://software.repos.intel.com/python/conda/
86+
87+
---
88+
89+
Since MKL FFT supports performing discrete Fourier transforms over non-contiguously laid out arrays, MKL can be directly
90+
used on any well-behaved floating point array with no internal overlaps for both in-place and not in-place transforms of
91+
arrays in single and double floating point precision.
92+
93+
This eliminates the need to copy input array contiguously into an intermediate buffer.
94+
95+
`mkl_fft` directly supports N-dimensional Fourier transforms.
96+
97+
More details can be found in SciPy 2017 conference proceedings:
98+
https://github.com/scipy-conference/scipy_proceedings/tree/2017/papers/oleksandr_pavlyk
99+
100+
---
101+
102+
It implements the following functions:
103+
104+
### Complex transforms, similar to those in `scipy.fftpack`:
105+
106+
`fft(x, n=None, axis=-1, overwrite_x=False)`
107+
108+
`ifft(x, n=None, axis=-1, overwrite_x=False)`
109+
110+
`fft2(x, shape=None, axes=(-2,-1), overwrite_x=False)`
111+
112+
`ifft2(x, shape=None, axes=(-2,-1), overwrite_x=False)`
113+
114+
`fftn(x, n=None, axes=None, overwrite_x=False)`
115+
116+
`ifftn(x, n=None, axes=None, overwrite_x=False)`
117+
118+
### Real transforms
119+
120+
`rfft(x, n=None, axis=-1, overwrite_x=False)` - real 1D Fourier transform, like `scipy.fftpack.rfft`
121+
122+
`rfft_numpy(x, n=None, axis=-1)` - real 1D Fourier transform, like `numpy.fft.rfft`
123+
124+
`rfft2_numpy(x, s=None, axes=(-2,-1))` - real 2D Fourier transform, like `numpy.fft.rfft2`
125+
126+
`rfftn_numpy(x, s=None, axes=None)` - real ND Fourier transform, like `numpy.fft.rfftn`
127+
128+
... and similar `irfft*` functions.
129+
130+
131+
The 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.
132+
133+
---
134+
135+
To build ``mkl_fft`` from sources on Linux:
136+
- install a recent version of MKL, if necessary;
137+
- execute ``source /path/to/mklroot/bin/mklvars.sh intel64`` ;
138+
- execute ``pip install .``

‎mkl_fft.egg-info/SOURCES.txt

Lines changed: 23 additions & 0 deletions
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,23 @@
1+
LICENSE.txt
2+
README.md
3+
setup.py
4+
mkl_fft/__init__.py
5+
mkl_fft/_float_utils.py
6+
mkl_fft/_numpy_fft.py
7+
mkl_fft/_pydfti.pyx
8+
mkl_fft/_scipy_fft.py
9+
mkl_fft/_scipy_fft_backend.py
10+
mkl_fft/_version.py
11+
mkl_fft.egg-info/PKG-INFO
12+
mkl_fft.egg-info/SOURCES.txt
13+
mkl_fft.egg-info/dependency_links.txt
14+
mkl_fft.egg-info/not-zip-safe
15+
mkl_fft.egg-info/requires.txt
16+
mkl_fft.egg-info/top_level.txt
17+
mkl_fft/interfaces/__init__.py
18+
mkl_fft/interfaces/numpy_fft.py
19+
mkl_fft/interfaces/scipy_fft.py
20+
mkl_fft/src/mklfft.c
21+
mkl_fft/tests/test_fft1d.py
22+
mkl_fft/tests/test_fftnd.py
23+
mkl_fft/tests/test_interfaces.py

‎mkl_fft.egg-info/dependency_links.txt

Lines changed: 1 addition & 0 deletions
Original file line numberDiff line numberDiff line change
@@ -0,0 +1 @@
1+

‎mkl_fft.egg-info/not-zip-safe

Lines changed: 1 addition & 0 deletions
Original file line numberDiff line numberDiff line change
@@ -0,0 +1 @@
1+

‎mkl_fft.egg-info/requires.txt

Lines changed: 2 additions & 0 deletions
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,2 @@
1+
numpy>=1.16
2+
mkl

‎mkl_fft.egg-info/top_level.txt

Lines changed: 1 addition & 0 deletions
Original file line numberDiff line numberDiff line change
@@ -0,0 +1 @@
1+
mkl_fft

0 commit comments

Comments
 (0)