code: def main():
      conf = Configs()
      experiment.create(name="mnist_labml_helpers")
      experiment.configs(conf, {"optimizer.optimizer": "Adam"})
      conf.set_seed.set()
      with experiment.start():
          conf.run()
  
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 3 for calling a global function with example usage: main() without return types