I think this is a good, simple & platform independent approach. There are
very few options when using pyopencl on nvidia GPUs.
On Fri, Mar 9, 2018 at 10:09 PM, Karl Czajkowski <karlcz(a)isi.edu> wrote:
On Mar 09, aseem hegshetye modulated:
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.