Comments (2)
FilipeMaia
commented on August 18, 2024
The examples were only run with Python 2 but the code works with both Python 2 or 3. The bigger issue is lack of implemented functions. We've been adding functions as we need them and this is often quite easy to do.
If you have an application which requires certain functions, just create an issue and they might get implemented soon.
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cathalgarvey
commented on August 18, 2024
Great news, thank you - I don't think even ML-on-numpy uses many features outside basic matrix multiplications, etcetera, so that's perfect for my use-case anyway.
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Related Issues (20)
- FFT dtypes HOT 4
- Feature request HOT 9
- improved fftshift HOT 2
- Create GPU array HOT 1
- Missing functions HOT 3
- definition of `dot` HOT 4
- pandas? HOT 1
- Citations HOT 3
- Cannot use pyqtgraph
- Use arrayfire function HOT 5
- arrayfire to afnumpy array HOT 7
- Segmentation fault HOT 5
- fftshift fails
- module 'afnumpy' has no attribute 'pad' HOT 1
- sparse array support HOT 3
- How to convert afnumpy array to arrayfire array? HOT 3
- How to convert float <class 'afnumpy.multiarray.ndarray'> to int <class 'afnumpy.multiarray.ndarray'> ? HOT 3
- [bug] c+=123 will not modify linked array but c[:]+=123 will HOT 3
- [feature request] Any change to modify afnumpy to support c++ version of arrayfire? HOT 1
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