Reduces the input dataset to a singleton using a reduce function.

    input_dataset, initial_state, other_arguments, f, output_types, output_shapes,
    use_inter_op_parallelism=True, name=None


  • input_dataset: A Tensor of type variant. A variant tensor representing the input dataset.
  • initial_state: A list of Tensor objects. A nested structure of tensors, representing the initial state of the transformation.
  • other_arguments: A list of Tensor objects.
  • f: A function decorated with @Defun. A function that maps (old_state, input_element) to new_state. It must take two arguments and return a nested structures of tensors. The structure of new_state must match the structure of initial_state.
  • output_types: A list of tf.DTypes that has length >= 1.
  • output_shapes: A list of shapes (each a tf.TensorShape or list of ints) that has length >= 1.
  • use_inter_op_parallelism: An optional bool. Defaults to True.
  • name: A name for the operation (optional).


A list of Tensor objects of type output_types.