code: def __init__(
      self,
      active_dataset: ActiveLearningDataset,
      hparams: Namespace,
      network: nn.Module,
  ):
      super().__init__(active_dataset, hparams, network)
  
      self.network = patch_module(self.network)
  
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 1 to create a new PIActiveLearningModel object from inherited base classes: ActiveLightningModule, PIModel with example: obj = PIActiveLearningModel(active_dataset, hparams, network)