abelcarreras / cuda_functions Goto Github PK

Use cuFFT (complex -> real) function to calculate the Fourier transform of the autocorrelation function (power spectrum). The autocorrelation is a Hermitian function and therefore its Fourier transform is guaranteed to be real.
A small increase in efficiency is expected.

when i tried this ' pip install cuda_functions' in my gpu
got error

/usr/local/cuda-9.0/bin/nvcc -I/usr/local/lib/python2.7/dist-packages/numpy/core/include -I/usr/local/cuda-9.0/include -I/usr/include/python2.7 -c src/cuFFT.cu -o build/temp.linux-aarch64-2.7/src/cuFFT.o -arch=sm_20 -Ddoubleprecisioncomplex=gpu_fft_dpc --ptxas-options=-v -c --compiler-options '-fPIC'
nvcc fatal : Value 'sm_20' is not defined for option 'gpu-architecture'
error: command '/usr/local/cuda-9.0/bin/nvcc' failed with exit status 1

Hi @abelcarreras !
Thanks for sharing!
I was wondering if i can use these functions for 2-D images ?

if so could you give me an example .
thanks
Mehul