class_docstr: Represents a parameter to a function.
class_docstr_tok: ["Represents","a","parameter","to","a","function","."]
docstr: Generate a Parameter from the proto representation.
code: def from_proto(cls, proto: Any) -> "Parameter":
      """Generate a Parameter from the proto representation."""
      deserialized_type_constraint = (
          serialization.deserialize(proto.type_constraint)
          if proto.HasField("type_constraint")
          else None
      )
      return Parameter(
          proto.name,
          PROTO_TO_PY_ENUM[proto.kind],
          proto.is_optional,
          deserialized_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 2 for calling the Parameter obj's underlying member method code with example usage: obj.from_proto(cls, proto) and returns: Parameter