code: def init(self):
      tracker.set_queue("loss.*", 20, True)
      tracker.set_scalar("accuracy.*", True)
      hook_model_outputs(self.mode, self.model, "model")
      self.state_modules = [self.accuracy_func]
  
imports: import torch.nn
  import torch.nn.functional
  import torch.utils.data
  from labml import experiment, tracker
  from labml.configs import option
  from labml.utils import pytorch
  from labml_helpers.datasets.mnist import MNISTConfigs
  from labml_helpers.device import DeviceConfigs
  from labml_helpers.metrics.accuracy import Accuracy
  from labml_helpers.module import Module
  from labml_helpers.seed import SeedConfigs
  from labml_helpers.train_valid import TrainValidConfigs, BatchIndex, hook_model_outputs
label_desc: Use image node_id 1 for calling the Configs obj's underlying member method code with example usage: obj.init() without return types