code: def ragged_reshape(
      tensor: ragged_tensor.RaggedOrDense,
      shape: dynamic_ragged_shape.DenseOrRaggedShape,
  ) -> Union[ragged_tensor.RaggedTensor, tensor_lib.Tensor]:
      """Reshapes a tensor or ragged tensor."""
      tensor = ragged_tensor.convert_to_tensor_or_ragged_tensor(
          tensor, name="tensor"
      )
      if isinstance(tensor, ragged_tensor.RaggedTensor):
          tensor = tensor.values
  
      if isinstance(shape, dynamic_ragged_shape.DynamicRaggedShape):
          flat_values = array_ops.reshape(tensor, shape.inner_shape)
          return ragged_tensor.RaggedTensor._from_nested_row_partitions(  # pylint: disable=protected-access
              flat_values, shape.row_partitions, validate=False
          )
      else:
          shape = ops.convert_to_tensor(shape, name="shape")
          return array_ops.reshape(tensor, shape)
  
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 20 for calling a global function with example usage: ragged_reshape(tensor, shape) and returns: ragged_tensor, array_ops