class_docstr: This set of tests verify the computation logic of accuracy with a modified threshold
  in several cases that we know the computation results.
class_docstr_tok: ["This","set","of","tests","verify","the","computation","logic","of","accuracy","with","a","modified","threshold","in","several","cases","that","we","know","the","computation","results","."]
code: def test_accuracy(self) -> None:
      test_data = generate_model_outputs_cases()
      for inputs in test_data:
          try:
              self._test_accuracy_helper(
                  **inputs  # pyre-ignore, surpressing a type hint error
              )
          except AssertionError:
              print("Assertion error caught with data set ", inputs)
              raise
  
imports: import unittest
  from typing import Dict, Iterable, Type, Union
  import torch
  from torch import no_grad
  from torchrec.metrics.accuracy import AccuracyMetric, compute_accuracy
  from torchrec.metrics.metrics_config import DefaultTaskInfo
  from torchrec.metrics.rec_metric import RecComputeMode, RecMetric
  from torchrec.metrics.test_utils import metric_test_helper, rec_metric_value_test_launcher, RecTaskInfo, TestMetric
label_desc: Use image node_id 2 for calling the ThresholdValueTest obj's underlying member method code with example usage: obj.test_accuracy() without return types