code: def test_epoch_end(self, outputs):
      out = super().test_epoch_end(outputs)
      out["log"]["active_set_len"] = len(self.active_dataset)
  
      return out
  
imports: import argparse
  import copy
  from argparse import Namespace
  import torch
  from experiments.ssl_experiments.pimodel_cifar10 import PIModel
  from torch import nn
  from torch.hub import load_state_dict_from_url
  from torch.utils.data import DataLoader
  from torchvision.datasets import CIFAR10
  from torchvision.models import vgg16
  from baal import ActiveLearningDataset, get_heuristic
  from baal.bayesian.dropout import patch_module
  from baal import ActiveLightningModule, BaalTrainer, ResetCallback
label_desc: Use image node_id 5 for calling the PIActiveLearningModel obj's underlying member method code with example usage: obj.test_epoch_end(outputs) and returns: out