code: def __call__(self, *args, **kwargs):
      from .frontend.torch.load import load
  
      return load(*args, **kwargs)
  
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 TorchFrontend obj's underlying member method code with example usage: obj.__call__() and returns: load