code: def test_fbeta_binary_with_return_batch_value(self):
      fbeta = FBeta(
          average="binary", make_deterministic=self.make_deterministic
      )
      batch_value = fbeta(self.predictions, self.targets)
      epoch_value = fbeta.compute()
  
      self.assertEqual(batch_value, epoch_value)
  
imports: from unittest import TestCase
  import numpy
  import torch
  import torch.nn
  from poutyne import F1, BinaryF1, FBeta, Model
label_desc: Use image node_id 5 for calling the BaseFBetaBinaryTest obj's underlying member method code with example usage: obj.test_fbeta_binary_with_return_batch_value() without return types