code: def _copy_row_shape(rt_inputs, splits):
      """Sets splits.shape to [rt[shape[0]+1] for each rt in rt_inputs."""
      for rt in rt_inputs:
          if rt.shape[0] is not None:
              splits.set_shape(
                  tensor_shape.TensorShape(rt.shape[0] + 1)
              )
  
file_path: tensorflow/tensorflow/python/ops/ragged/ragged_concat_ops.py
imports: import typing
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import tensor_shape
  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 math_ops
  from tensorflow.python.ops.ragged import ragged_gather_ops
  from tensorflow.python.ops.ragged import ragged_tensor
  from tensorflow.python.ops.ragged import ragged_util
  from tensorflow.python.util import dispatch
  from tensorflow.python.util.tf_export import tf_export
label_desc: Use image node_id 6 for calling a global function with example usage: _copy_row_shape(rt_inputs, splits) without return types