code: def test_accuracy_metrics(self):
      dummy_eval_predictions = EvalPrediction(
          torch.FloatTensor([[0.1, 0.9], [0.9, 0.1]]),
          torch.LongTensor([0, 0]),
      )
      accuracy = compute_accuracy(dummy_eval_predictions)
      self.assertEqual(accuracy["accuracy"], 0.5)
  
file_path: trl/tests/test_reward_trainer.py
imports: import tempfile
  import unittest
  import torch
  from datasets import Dataset
  from transformers import AutoModelForSequenceClassification, AutoTokenizer, EvalPrediction
  from trl import RewardConfig, RewardTrainer
  from trl.trainer import compute_accuracy
  from .testing_utils import require_peft
label_desc: Use image node_id 2 for calling the RewardTrainerTester obj's underlying member method code with example usage: obj.test_accuracy_metrics() without return types