Note:
 If there are multiple minimal values in a reduced row then the
 indices of the first minimal value are returned.

Parameters:
      * input (Tensor) -- the input tensor.
  * **dim** (*int*) -- the dimension to reduce.

  * **keepdim** (*bool*) -- whether the output tensor has "dim"
    retained or not.

Keyword Arguments:
      out (tuple, optional) -- the tuple of two output
      tensors (min, min_indices)
Example:
  >>> a = torch.randn(4, 4)
  >>> a
  tensor([[-0.6248,  1.1334, -1.1899, -0.2803],
          [-1.4644, -0.2635, -0.3651,  0.6134],
          [ 0.2457,  0.0384,  1.0128,  0.7015],
          [-0.1153,  2.9849,  2.1458,  0.5788]])
  >>> torch.min(a, 1)
  torch.return_types.min(values=tensor([-1.1899, -1.4644,  0.0384, -0.1153]), indices=tensor([2, 0, 1, 0]))

torch.min(input, other, *, out=None) -> Tensor
See "torch.minimum()".