code: def initialize(self):
      self.train_dataset = self.dataset.train_dataset()
      self.valid_dataset = self.dataset.valid_dataset()
      self.train_loader = DataLoader(
          self.train_dataset,
          batch_size=self.train_batch_size,
          shuffle=True,
      )
      self.valid_loader = DataLoader(
          self.valid_dataset,
          batch_size=self.valid_batch_size,
          shuffle=False,
      )
      self.state_modules = [self.output_collector]
      tracker.set_tensor("output.*")
  
file_path: labml/samples/stocks/minutely_stocks.py
imports: from typing import Tuple, List, Any
  from torch import nn
  from torch.utils.data import DataLoader
  from labml import experiment, tracker, monit
  from labml.configs import option, calculate
  from labml_helpers.metrics.collector import Collector
  from labml_helpers.train_valid import SimpleTrainValidConfigs, BatchIndex
  from stocks.dataset import MinutelyData, MinutelyDataset
  from stocks.model import CnnModel
label_desc: Use image node_id 1 for calling the Configs obj's underlying member method code with example usage: obj.initialize() without return types