code: def mobilenetv2_spec():
      return {
          "forward": CompileSpec(
              inputs=(
                  TensorSpec(
                      shape=[1, 3, 224, 224],
                  ),
              ),
              outputs=(
                  TensorSpec(
                      shape=[1, 1000],
                  ),
              ),
              backend=CoreMLComputeUnit.CPU,
              allow_low_precision=True,
          ),
      }
  
imports: import torch
  from torch.backends._coreml.preprocess import CompileSpec, CoreMLComputeUnit, TensorSpec
  from torchvision import models
label_desc: Use image node_id 1 for calling a global function with example usage: mobilenetv2_spec() and returns: dict