code: def size(
      input: ragged_tensor.Ragged, out_type=dtypes.int32, name=None
  ):  # pylint: disable=redefined-builtin
      """Returns the size of a potentially ragged tensor.
  
      The size of a ragged tensor is the size of its inner values.
  
      #### Example:
  
      >>> tf.size(tf.ragged.constant([[1, 2], [3]])).numpy()
      3
  
      Args:
        input: A potentially ragged `Tensor`.
        out_type: The numeric output type for the operation.
        name: A name for the operation (optional).
  
      Returns:
        A Tensor of type `out_type`.
      """
      if ragged_tensor.is_ragged(input):
          return array_ops.size(
              input.flat_values, out_type=out_type, name=name
          )
      else:
          return array_ops.size(input, out_type=out_type, name=name)
  
imports: from typing import Optional
  from typing import Union
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import sparse_tensor
  from tensorflow.python.framework import tensor
  from tensorflow.python.framework import tensor_shape
  from tensorflow.python.framework import tensor_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import array_ops_stack
  from tensorflow.python.ops import check_ops
  from tensorflow.python.ops import control_flow_ops
  from tensorflow.python.ops import data_flow_ops
  from tensorflow.python.ops import gen_ragged_array_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import sort_ops
  from tensorflow.python.ops.ragged import dynamic_ragged_shape
  from tensorflow.python.ops.ragged import ragged_functional_ops
  from tensorflow.python.ops.ragged import ragged_math_ops
  from tensorflow.python.ops.ragged import ragged_tensor
  from tensorflow.python.ops.ragged import ragged_util
  from tensorflow.python.ops.ragged import segment_id_ops
  from tensorflow.python.types import core
  from tensorflow.python.util import dispatch
  from tensorflow.python.util.tf_export import tf_export
label_desc: Use image node_id 7 for calling a global function with example usage: size(input, out_type, name) and returns: array_ops, array_ops