code: def trace_model(model, input_data):
      model.eval()
      if isinstance(input_data, list):
          input_data = tuple(input_data)
      torch_model = torch.jit.trace(model, input_data)
      return torch_model
  
imports: import numpy
  import torch
  import torch.nn
  from six import string_types
  from coremltools import TensorType
  from coremltools.converters.mil.testing_reqs import _converter
  from coremltools.models import MLModel
  from coremltools._deps import _IS_MACOS
label_desc: Use image node_id 5 for calling a global function with example usage: trace_model(model, input_data) and returns: torch_model