torch.mv
torch.mv(input, vec, *, out=None) -> Tensor
Performs a matrix-vector product of the matrix "input" and the
   vector "vec".
If "input" is a (n \times m) tensor, "vec" is a 1-D tensor of size
   m, "out" will be 1-D of size n.
Note:
 This function does not broadcast.

Parameters:
      * input (Tensor) -- matrix to be multiplied
  * **vec** (*Tensor*) -- vector to be multiplied

Keyword Arguments:
      out (Tensor, optional) -- the output tensor.
Example:
  >>> mat = torch.randn(2, 3)
  >>> vec = torch.randn(3)
  >>> torch.mv(mat, vec)
  tensor([ 1.0404, -0.6361])
