def sg_min(tensor, opt):
    r"""Computes the minimum of elements across axis of a tensor.

    See `tf.reduce_min()` in tensorflow.

    Args:
      tensor: A `Tensor` (automatically given by chain).
      opt:
        axis : A tuple/list of integers or an integer. The axis to reduce.
        keep_dims: If true, retains reduced dimensions with length 1.
        name: If provided, replace current tensor's name.

    Returns:
      A `Tensor`.
    """
    return tf.reduce_min(tensor, axis=opt.axis, keep_dims=opt.keep_dims, name=opt.name)
def sg_min ( tensor , opt ) : return tf . reduce_min ( tensor , axis = opt . axis , keep_dims = opt . keep_dims , name = opt . name )
r"""Computes the minimum of elements across axis of a tensor.

    See `tf.reduce_min()` in tensorflow.

    Args:
      tensor: A `Tensor` (automatically given by chain).
      opt:
        axis : A tuple/list of integers or an integer. The axis to reduce.
        keep_dims: If true, retains reduced dimensions with length 1.
        name: If provided, replace current tensor's name.

    Returns:
      A `Tensor`.