
vec (Tensor) -- vector to be matrix multiplied

Keyword Arguments:
      * beta (Number, optional) -- multiplier for "input"
        (\beta)
  * **alpha** (*Number**, **optional*) -- multiplier for mat @ vec
    (\alpha)

  * **out** (*Tensor**, **optional*) -- the output tensor.

Example:
  >>> M = torch.randn(2)
  >>> mat = torch.randn(2, 3)
  >>> vec = torch.randn(3)
  >>> torch.addmv(M, mat, vec)
  tensor([-0.3768, -5.5565])
