code: def setUp(self) -> None:
      self.batch_size = 3
      self.input_size = 10
      self.n_classes = 3
      self.n_tasks = 2
      self.out = torch.randn(self.batch_size, self.input_size)
      self.y = torch.randint(0, self.n_classes, (self.batch_size,))
      self.task_labels = torch.randint(
          0, self.n_tasks, (self.batch_size,)
      )
  
imports: import unittest
  import torch
  from avalanche.evaluation.metrics import TaskAwareAccuracy, TopkAccuracy, AverageMeanClassAccuracy, MultiStreamAMCA, ClassAccuracy, TaskAwareLoss, ConfusionMatrix, DiskUsage, MAC, CPUUsage, MaxGPU, MaxRAM, Mean, Sum, ElapsedTime, Forgetting, ForwardTransfer, CumulativeAccuracy, LabelsRepartition
  from tests.unit_tests_utils import FAST_TEST, is_github_action
label_desc: Use image node_id 1 for calling the GeneralMetricTests obj's underlying member method code with example usage: obj.setUp() without return types