How To Use Cuda Stream In Pytorch?

I wanna use CUDA stream in Pytorch to parallel some computations, but I don't know how to do it. For instance, if there's 2 tasks, A and B, need to be parallelized, I wanna do the

Solution 1:

s1 = torch.cuda.Stream()
s2 = torch.cuda.Stream()
# Initialise cuda tensors here. E.g.:
A = torch.rand(1000, 1000, device = ‘cuda’)
B = torch.rand(1000, 1000, device = ‘cuda’)
# Wait for the above tensors to initialise.
torch.cuda.synchronize()
with torch.cuda.stream(s1):
    C = torch.mm(A, A)
with torch.cuda.stream(s2):
    D = torch.mm(B, B)
# Wait for C and D to be computed.
torch.cuda.synchronize()
# Do stuff with C and D.