code: def CompileSpec(
      inputs,
      outputs,
      backend=CoreMLComputeUnit.CPU,
      allow_low_precision=True,
      quantization_mode=CoreMLQuantizationMode.NONE,
      mlmodel_export_path=None,
  ):
      return (
          inputs,
          outputs,
          backend,
          allow_low_precision,
          quantization_mode,
          mlmodel_export_path,
      )
  
file_path: pytorch/torch/backends/_coreml/preprocess.py
imports: import hashlib
  import json
  from typing import Dict, Tuple
  import coremltools
  from coremltools.converters.mil.input_types import TensorType
  from coremltools.converters.mil.mil import types
  from coremltools.models.neural_network import quantization_utils
  import torch
label_desc: Use image node_id 2 for calling a global function with example usage: CompileSpec(inputs, outputs, backend, allow_low_precision, quantization_mode, mlmodel_export_path) and returns: inputs,  outputs,  backend,  allow_low_precision,  quantization_mode,  mlmodel_export_path