Comments (3)
Dear Vincent,
thanks for your hint, you are right, for an out-of-place complex->real transform, where both in- and output arrays are provided by the user, the real=True keyword should not be necessary (only for an inplace transform).
Real<->complex transforms are a late addition and still lack tests, I did not yet dare to fiddle around with the interface.
Gregor
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Is there any case where the real
keyword is used beside real<->complex transforms ? Can I submit a PR deprecating this keyword ?
Thanks, Vincent
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I just saw the inline-real2real branch. No deprecation then ? But may be useful to recognize the complex hermitian->real transform without the keyword. Could inline real2real also be recognized automatically from having in_array.dtype=np.float* and out_array=None ?
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Related Issues (20)
- No examples in documentation HOT 9
- 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
- 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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