Outer product of input and vec2. If input is a vector of size n n n and vec2 is a vector of size m m m, then out must be a matrix of size ( n × m ) (n \times m) (n×m).
>>> v1 = torch.arange(1., 5.)
>>> v2 = torch.arange(1., 4.)
>>> torch.outer(v1, v2)
tensor([[ 1., 2., 3.],
[ 2., 4., 6.],
[ 3., 6., 9.],
[ 4., 8., 12.]])
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