code: def test_model(model, *inputs):
      GlobalCounters.reset()
      out = model(*inputs)
      if isinstance(out, Tensor):
          out = out.numpy()
      # TODO: return event future to still get the time_sum_s without DEBUG=2
      print(
          f"{GlobalCounters.global_ops*1e-9:.2f} GOPS, {GlobalCounters.time_sum_s*1000:.2f} ms"
      )
  
file_path: tinygrad/examples/mlperf/model_spec.py
imports: from tinygrad import Tensor, GlobalCounters
  from tinygrad.helpers import getenv
  import numpy
label_desc: Use image node_id 1 for calling a global function with example usage: test_model(model) without return types