code: def _test_replay_buffer_gym_gpu(self, name: str, config_path: str):
      logger.info(f"Starting {name} on GPU")
      self.run_from_config(
          run_test=run_test_replay_buffer,
          config_path=os.path.join(curr_dir, config_path),
          use_gpu=True,
      )
      logger.info(f"{name} passes!")
  
imports: import logging
  import os
  import pprint
  import unittest
  import uuid
  from typing import Optional
  import numpy
  import pytest
  import pytorch_lightning
  import torch
  from parameterized import parameterized
  from reagent.gym.agents.agent import Agent
  from reagent.gym.datasets.episodic_dataset import EpisodicDataset
  from reagent.gym.datasets.replay_buffer_dataset import ReplayBufferDataset
  from reagent.gym.envs import Env__Union
  from reagent.gym.envs.env_wrapper import EnvWrapper
  from reagent.gym.policies.policy import Policy
  from reagent.gym.policies.random_policies import make_random_policy_for_env
  from reagent.gym.runners.gymrunner import evaluate_for_n_episodes
  from reagent.gym.utils import build_normalizer, fill_replay_buffer
  from reagent.model_managers.union import ModelManager__Union
  from reagent.replay_memory.circular_replay_buffer import ReplayBuffer
  from reagent.test.base.horizon_test_base import HorizonTestBase
label_desc: Use image node_id 6 for calling the TestGym obj's underlying member method code with example usage: obj._test_replay_buffer_gym_gpu(name, config_path) without return types