code: def spec_unet3d():
      # 3D UNET
      from extra.models.unet3d import UNet3D
  
      mdl = UNet3D()
      # mdl.load_from_pretrained()
      img = Tensor.randn(1, 1, 128, 128, 128)
      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 4 for calling a global function with example usage: spec_unet3d() without return types