code: def __call__(self, model, *args, **kwargs):
      specification_version = kwargs.get("specification_version", None)
      if specification_version is not None:
          max_opset_version, op = model._get_max_opset_version_and_op()
          if max_opset_version > specification_version:
              msg = (
                  "Please update the minimum_deployment_target to coremltools.target.{},"
                  " since op {} is only available in opset coremltools.target.{} or newer."
              ).format(
                  max_opset_version.name,
                  op.op_type,
                  max_opset_version.name,
              )
              raise ValueError(msg)
  
      if "inputs" in kwargs and kwargs["inputs"] is not None:
          inputs = kwargs["inputs"]
          if not isinstance(inputs, (list, tuple)):
              raise ValueError(
                  "Type of inputs should be list or tuple, got {} instead.".format(
                      type(inputs)
                  )
              )
          if not all([isinstance(i, InputType) for i in inputs]):
              raise ValueError(
                  "Type of inputs should be list or tuple of TensorType or ImageType, got {} instead.".format(
                      [type(i) for i in inputs]
                  )
              )
  
          for idx, inp in enumerate(inputs):
              # We set the default image format in MIL as NCHW, since only NCHW is
              # natively supported by MIL ops (ex. Conv/Pool/etc.)
              if (
                  isinstance(inp, ImageType)
                  and inputs[idx].channel_first is None
              ):
                  inputs[idx].channel_first = True
          model.set_main_input_types(tuple(inputs))
      return model
  
imports: import tempfile
  import warnings
  from typing import Optional, Text, Tuple
  from coremltools.converters._profile_utils import _profile
  from coremltools.converters.mil import Program
  from coremltools.converters.mil.mil import Builder
  from coremltools.converters.mil.mil.types.symbolic import k_num_internal_syms, k_used_symbols
  from coremltools.models import MLModel
  from coremltools.models.model import _create_mlpackage
  from .None import ImageType, InputType
  from .mil.passes.pass_pipeline import PassPipeline, PassPipelineManager
label_desc: Use image node_id 1 for calling the MILFrontend obj's underlying member method code with example usage: obj.__call__(model) and returns: model