I run the code below by using Pytorch 0.4.1 and Pytorch 1.0.0 respectively with cuda 10.1.
model = nn.Linear(3,2).cuda()
x = torch.FloatTensor([[1.0, 2.0, 3.0], [4.0, 5.0, 6.0]]).cuda()
with torch.no_grad():
    model.weight = torch.nn.Parameter(torch.cuda.FloatTensor([[1.0, 2.0, 1.0], [2.0, 3.0, 3.0]]))
    model.bias = torch.nn.Parameter(torch.cuda.FloatTensor([1.0, 2.0]))
    y = model(x)
    print(y)

The problem is that the outputs are different:
tensor([[17., 36.],
        [41., 84.]], device='cuda:0') # pytorch 0.4

tensor([[ 9., 19.],
        [21., 43.]], device='cuda:0') # pytorch 1.0

It’s quite amazing. Is there anyone can help me to solved it? Thanks.