code: def setup_and_add_save():
      arr = torch.zeros((1000, 1000))
      for t in range(10):
          tracker.set_scalar(f"loss1.{t}", is_print=t == 0)
  
      experiment.start()
  
      for i in monit.loop(N):
          for t in range(10):
              arr += 1
          for t in range(10):
              tracker.add({f"loss1.{t}": i})
              tracker.save()
  
file_path: labml/client/test/tracker_perf.py
imports: import time
  import torch
  from labml import experiment, monit, tracker, logger
  from labml.logger import Text
label_desc: Use image node_id 2 for calling a global function with example usage: setup_and_add_save() without return types