<jupyter_start><jupyter_text>H1 H2 H3<jupyter_code>print(x.size())
y = torch.rand(5, 3)
print(x) 
print(y)
print(x + y)
print(torch.add(x, y))
# Addition: providing an output tensor as argument

result = torch.empty(5, 3)
torch.add(x, y, out=result)
print(result)
# Inplace

y.add_(x)
print(y)<jupyter_output>tensor([[ 0.0118,  1.5926,  1.6496],
        [-0.0920, -0.8873, -0.2714],
        [ 0.5859, -0.0642, -1.0297],
        [ 1.1998,  0.0987,  0.3938],
        [ 1.1956,  0.8073,  0.4670]])
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