code: def main():
      experiment.create()
      conf = Configs()
      conf.activation = "relu"
      conf.dropout = 0.1
      experiment.configs(
          conf,
          {
              "conv_sizes": [(128, 2), (256, 4)],
              "optimizer.learning_rate": 1e-4,
              "optimizer.optimizer": "Adam",
          },
      )
  
      with experiment.start():
          with monit.section("Initialize"):
              conf.initialize()
          with tracker.namespace("valid"):
              conf.valid_dataset.save_artifacts()
          conf.run()
  
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 3 for calling a global function with example usage: main() without return types