Thank you Andreas for your answer, Instead of slicing, I can't copy the elements that I need in another gpuarray vector for example? I found this method from Cublas
import pycuda.autoinit import pycuda.gpuarray as gpuarray import numpy as np x = np.random.rand(5).astype(np.float32) y = np.random.rand(5).astype(np.float32) x_gpu = gpuarray.to_gpu(x) y_gpu = gpuarray.to_gpu(y) d = cublasSdot(x_gpu.size, x_gpu.gpudata, 1, y_gpu.gpudata, 1) np.allclose(d, np.dot(x, y)) But here both of x_gpu.gpudata points on the first element of the gpuarray x_gpu. Is there any way to point on the element j ? Thaks again :) -- View this message in context: http://pycuda.2962900.n2.nabble.com/Doing-some-instructions-on-some-elements-of-a-matrix-on-GPU-memory-tp6046090p6052343.html Sent from the PyCuda mailing list archive at Nabble.com. _______________________________________________ PyCUDA mailing list PyCUDA@tiker.net http://lists.tiker.net/listinfo/pycuda
