code: def spec_resnet():
      # Resnet50-v1.5
      from extra.models.resnet import ResNet50
  
      mdl = ResNet50()
      img = Tensor.randn(1, 3, 224, 224)
      test_model(mdl, img)
  
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 2 for calling a global function with example usage: spec_resnet() without return types