code: def ragged_to_dense(rt_input, default_value=None, shape=None):
      """Create a dense tensor from a ragged tensor."""
      return rt_input.to_tensor(
          default_value=default_value, shape=shape
      )
  
file_path: tensorflow/tensorflow/python/ops/ragged/ragged_conversion_ops.py
imports: from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import indexed_slices
  from tensorflow.python.framework import ops
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import gen_ragged_conversion_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops.ragged import ragged_tensor
label_desc: Use image node_id 3 for calling a global function with example usage: ragged_to_dense(rt_input, default_value, shape) and returns: rt_input