class_docstr: Represents a parameter to a function.
class_docstr_tok: ["Represents","a","parameter","to","a","function","."]
docstr: Generate a proto representation of the Parameter.
code: def to_proto(self) -> function_type_pb2.Parameter:
      """Generate a proto representation of the Parameter."""
      serialized_type_constraint = (
          serialization.serialize(self.type_constraint)
          if self.type_constraint
          else None
      )
      return function_type_pb2.Parameter(
          name=self.name,
          kind=PY_TO_PROTO_ENUM[self.kind],
          is_optional=self.optional,
          type_constraint=serialized_type_constraint,
      )
  
imports: import collections
  import inspect
  from typing import Any, Callable, Dict, List, Mapping, Optional, Sequence, Tuple
  from absl import logging
  from tensorflow.core.function import trace_type
  from tensorflow.core.function.polymorphism import function_type_pb2
  from tensorflow.core.function.trace_type import serialization
  from tensorflow.python.types import core
  from tensorflow.python.types import trace
label_desc: Use image node_id 3 for calling the Parameter obj's underlying member method code with example usage: obj.to_proto() and returns: function_type_pb2