code: def bitcast(
      input: ragged_tensor.RaggedOrDense,  # pylint: disable=redefined-builtin
      type,  # pylint: disable=redefined-builtin
      name=None,
  ) -> ragged_tensor.RaggedOrDense:
      """RaggedTensor dispatch override for tf.bitcast."""
      type = dtypes.as_dtype(type)
      with ops.name_scope(name, "Bitcast", [input]):
          input = ragged_tensor.convert_to_tensor_or_ragged_tensor(
              input, name="input"
          )
          if (
              input.dtype.size < type.size
              and input.flat_values.shape.rank < 2
          ):
              raise ValueError(
                  "`input.flat_values` is required to have rank >= 2 when "
                  "input.dtype.size < type.size. Actual rank: "
                  f"{input.flat_values.shape.rank}"
              )
          return input.with_flat_values(
              array_ops.bitcast(input.flat_values, type)
          )
  
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 27 for calling a global function with example usage: bitcast(input, type, name) and returns: input