code: def add_only():
      arr = torch.zeros((1000, 1000))
      experiment.start()
  
      for i in monit.loop(N):
          for t in range(10):
              arr += 1
          for t in range(10):
              if i == 0:
                  tracker.set_scalar(f"loss1.{t}", is_print=t == 0)
          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 4 for calling a global function with example usage: add_only() without return types