code: def _check_only_output(self, input_dict) -> Dict[str, Any]:
      # there is no input spec, so we can pass anything
      if "input" in input_dict:
          raise ValueError(
              "input_dict should not have `input` key in check_only_output"
          )
  
      return self.run({"input": input_dict["not_input"]})
  
imports: import abc
  import time
  import unittest
  from typing import Dict, Any, Type
  import numpy
  import torch
  from ray.rllib.core.models.specs.checker import SpecCheckingError
  from ray.rllib.core.models.specs.checker import convert_to_canonical_format, check_input_specs, check_output_specs
  from ray.rllib.core.models.specs.specs_base import TensorSpec, TypeSpec
  from ray.rllib.core.models.specs.specs_dict import SpecDict
  from ray.rllib.utils.annotations import override
  from ray.rllib.utils.nested_dict import NestedDict
label_desc: Use image node_id 4 for calling the CorrectImplementation obj's underlying member method code with example usage: obj._check_only_output(input_dict) and returns: self