code: def _make_module_from_onnx_node(
      self, op_type, inputs, prev_modules, attrs, outputs
  ):
      module = None
      out_shapes = []
      if op_type in convert_map:
          module, out_shapes = convert_map[op_type](
              inputs, prev_modules, attrs, outputs
          )
      else:
          invalidInputError(False, "not implement yet")
      return module, out_shapes
  
file_path: BigDL/python/dllib/src/bigdl/dllib/contrib/onnx/onnx_loader.py
imports: from bigdl.dllib.nn.layer import Identity, Model
  from .ops_mapping import _convert_map
  from .converter_utils import parse_node_attr, parse_tensor_data
  from bigdl.dllib.utils.log4Error import *
label_desc: Use image node_id 3 for calling the OnnxLoader obj's underlying member method code with example usage: obj._make_module_from_onnx_node(op_type, inputs, prev_modules, attrs, outputs) and returns: module,  out_shapes