Hello Everybody, I ran into the following problem with PuCUDA. When I calling for example
import pycuda.gpuarray as gpu a = np.array([ [ 0, 1, 2 ], [ 1, 2, 3 ] ], dtype=np.float64) a_gpu = gpu.to_gpu(np.transpose(a)) a_gpu does not contain the transposed, but the original array. When looking into the numpy source I find that the transpose operation just flips the FORTRAN flag. This can be easily checked: >>> a.flags.fortran False >>> b=np.transpose(a) >>> b.flags.fortran True >>> c=np.transpose(b) >>> c.flags.fortran False >>> GPUArray.set just copies the raw data. So if the FORTRAN flag is set, the array on the GPU will end up transposed. Does anybody know an easy fix for this behavior? Best, Lars _______________________________________________ PyCUDA mailing list PyCUDA@tiker.net http://lists.tiker.net/listinfo/pycuda
