Comments (1)
Hi,
to my best knowledge there are no ready made conda packages, at least not for your platform. So you have to build gpyfft from the sources yourself, which needs some manual work.
The difficult part of installing gpyfft from source is compiling the underlying clfft library - which unfortunately has become unsupported since years. However, there is a debian package available for it, libclfft2 and libclfft-dev. gpyfft itself is a rather simple cython based wrapper. With a little editing of setup.py to point to the clfft library and header, and the OpenCL headers, building gpyfft should run smoothly.
Please tell me if you need further advice, or how installation attempts failed.
Gregor
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Related Issues (20)
- Windows 10 - errors in test_simple.py HOT 7
- gpyfft working on macOS 10.11.6, but not for CPU HOT 3
- simple_example.py broken HOT 16
- Cython errors in setup.py on Ubuntu HOT 7
- License file HOT 2
- [debian] test error during the build process HOT 7
- [doc] errors during the sphinx doc generation HOT 2
- could you integrate the benchmark in the gpyfft module HOT 1
- Installation when clFFT has been installed using conda ? HOT 14
- Batched FFT buggy
- Real->complex and complex->real HOT 3
- PyPI HOT 2
- Benchmark fails to run on ARM Mali platform HOT 1
- ImportError: DLL load failed HOT 15
- When rinning simple_example.py - OverflowError: can't convert negative value to size_t HOT 3
- Cannot open include file: 'clFFT.h' HOT 1
- How to install this package on Windows? HOT 1
- callback argument for the FFT class HOT 5
- Complains about _clfftBakePlan not found when importing HOT 8
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