问题
I want to get the sum of different parts of an array. I run my code. and find two problems from what was printed.
pro1:
Described in detail here. It has been solved. Maybe it's not a real problem.
pro2:
In my code, I gived different value to sbuf[0,2], sbuf[1,2], sbuf[2,2] and sbuf[0,3], sbuf[1,3], sbuf[2,3].
But find that after cuda.syncthreads(), the values bacame same between sbuf[0,2] and sbuf[0,3], sbuf[1,2] and sbuf[1,3], sbuf[2,2] and sbuf[2,3].
It directly lead to the values of Xi_s, Xi1_s and Yi_s wrong.
These are my guesses according to what was printed inside the kernel.
@talonmies said relying on print statements inside kernels like this is dangerous.
So I want to know if it has an useful way to debug my code instead of printing statements inside kernels.
...
@cuda.jit
def calcu_T(D, T):
...
if bx==1 and tx==1:
print('5,c_x,c_y,L,c_index,bx,tx,ty,sbuf[0,ty],sbuf[1,ty],sbuf[2,ty],',c_x,',',c_y,',',L,',',c_index,',',bx,',',tx,',',ty,',',sbuf[0,ty],',',sbuf[1,ty],',',sbuf[2,ty])
cuda.syncthreads()
if bx==1 and tx==1:
print('1,c_x,c_y,L,c_index,bx,tx,ty,sbuf[0,ty],sbuf[1,ty],sbuf[2,ty],',c_x,',',c_y,',',L,',',c_index,',',bx,',',tx,',',ty,',',sbuf[0,ty],',',sbuf[1,ty],',',sbuf[2,ty])
...
回答1:
As @talonmies said, printing statements inside kernels is not a good choice for debugging. If someone has the same problem, this documentation is helpful, and more you should learn is pdb, especially the debugger commands,such as 'p', 'c'.
来源：https://stackoverflow.com/questions/43153221/get-wrong-result-when-caculating-on-gpu-python3-5numbacuda8-0