code: def _RaggedTensorStructure(dtype, shape, ragged_rank):
      return ragged_tensor.RaggedTensorSpec(shape, dtype, ragged_rank)
  
imports: import collections
  import functools
  import itertools
  import wrapt
  from tensorflow.python.data.util import nest
  from tensorflow.python.framework import composite_tensor
  from tensorflow.python.framework import none_tensor
  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 type_spec
  from tensorflow.python.ops import resource_variable_ops
  from tensorflow.python.ops import tensor_array_ops
  from tensorflow.python.ops.ragged import ragged_tensor
  from tensorflow.python.platform import tf_logging
  from tensorflow.python.types import internal
  from tensorflow.python.util import deprecation
  from tensorflow.python.util.compat import collections_abc
  from tensorflow.python.util.nest_util import CustomNestProtocol
  from tensorflow.python.util.tf_export import tf_export
label_desc: Use image node_id 4 for calling a global function with example usage: _RaggedTensorStructure(dtype, shape, ragged_rank) and returns: ragged_tensor