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×m)(n \times m)(n×m) tensor, vec is a 1-D tensor of size mmm, out will be 1-D of size nnn. 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])
