Received from Keith Brown on Wed, Nov 25, 2015 at 03:47:32PM EST: > Hi Lev, > > Here is the context. > > np.dot(a.T,a) > Here a.T is a view and doesnt take up a lot of memory. > if I would do > np.dot(a.T.copy(),a) it would take up more memory. > > This is part of my memory saving quest on the GPU. Trying to find some > ways around it...
If you tell skcuda.linalg.dot() to treat its first argument as transposed, you don't need to copy the matrix: skcuda.linalg.dot(a, a, 'T', 'N') -- Lev Givon Bionet Group | Neurokernel Project http://lebedov.github.io/ http://neurokernel.github.io/ _______________________________________________ PyCUDA mailing list PyCUDA@tiker.net http://lists.tiker.net/listinfo/pycuda
