I think this is a good, simple & platform independent approach. There are very few options when using pyopencl on nvidia GPUs. Aseem
On Fri, Mar 9, 2018 at 10:09 PM, Karl Czajkowski <kar...@isi.edu> wrote: > On Mar 09, aseem hegshetye modulated: > > Hi, > > Is there a way to debug and/or print intermediate variables while > running a c kernel on GPu via pyopencl. > > > > > This may sound funny, but if the problem isn't too irregular, I have > sometimes found it valuable to use ndarray outputs as a "printf". > Each kernel task has a different index into the array and outputs its > intermediate variable(s) along another temporal axis. Then, I > visualize the ndarray on the host by applying color mapping and > slicing through the array to see patterns where each kernel has a > state mapped to a pixel. > > > Karl >
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