code: def minimum(x1, x2, output_shape=None, name=None):
    
    output_shape = convert_to_shape(output_shape)
    with tf.name_scope(name, default_name="minimum"):
      x1, x2 = binary_arguments_to_tensors(x1, x2)
      return MinMaxOperation(
          tf.minimum, x1, x2, output_shape=_infer_binary_broadcast_shape(
              x1.shape, x2.shape, output_shape)).outputs[0]
docs: Binary minimum with broadcsting.
  
    Args:
      x1: a Tensor
      x2: a Tensor
      output_shape: an optional Shape
      name: an optional string
    Returns:
      a Tensor