code: def spec_mrcnn():
      from extra.models.mask_rcnn import MaskRCNN, ResNet
  
      mdl = MaskRCNN(ResNet(50, num_classes=None, stride_in_1x1=True))
      # mdl.load_from_pretrained()
      x = Tensor.randn(3, 224, 224)
      test_model(mdl, [x])
  
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 7 for calling a global function with example usage: spec_mrcnn() without return types