Fastest way to calculate the vector product x*x.T

Question

Given a vector such as

x = torch.rand(10000)

What is the most efficient way to compute the symmetrix matrix using pytorch? I can only think of doing matrix multiplications like

torch.matmul(x.view(-1,1), x.view(1,-1))

or

torch.matmul(x.unsqueeze(1),x.unsqueeze(0))

but I wonder if there are more efficient ways which make use of the symmetry of the resultant matrix to calculate it.