code: def unbroadcast_tfe_to(tensor, shape):
    
    axis = utils.create_unbroadcast_axis(shape, shape_as_list(tensor))
    return tf.reshape(tf.reduce_sum(tensor, axis=axis), shape)
docs: Reverse the broadcasting operation.
  
    See utils.py.
  
    Args:
      tensor: A Tensor.
      shape: A shape that could have been broadcasted to the shape of tensor.
  
    Returns:
      Tensor with dimensions summed to match `shape`.