code: def _concat_ragged_splits(splits_list):
      """Concatenates a list of RaggedTensor splits to form a single splits."""
      pieces = [splits_list[0]]
      splits_offset = splits_list[0][-1]
      for splits in splits_list[1:]:
          pieces.append(splits[1:] + splits_offset)
          splits_offset += splits[-1]
      return array_ops.concat(pieces, axis=0)
  
file_path: tensorflow-upstream/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 8 for calling a global function with example usage: _concat_ragged_splits(splits_list) and returns: array_ops