code: def type_inference(self):
      builtin_dtype = types.string_to_builtin(self.dtype.val)
      if builtin_dtype is None:
          raise ValueError(
              "Unsupported dtype {}".format(self.dtype.val)
          )
      elem_type = types.tensor(builtin_dtype, self.elem_shape.sym_val)
      return types.list(
          elem_type,
          init_length=self.init_length.val,
          dynamic_length=self.dynamic_length.val,
      )
  
imports: import six
  from coremltools.converters.mil.mil import types
  from coremltools.converters.mil.mil.types.type_mapping import numpy_val_to_builtin_val, is_subtype
  import copy
  from coremltools.converters.mil.mil import Block, SYMBOL, NONE
  from coremltools.converters.mil.mil.var import Var
  from coremltools.converters.mil.mil import get_new_symbol
  from ._op_reqs import *
  import logging
label_desc: Use image node_id 2 for calling the make_list obj's underlying member method code with example usage: obj.type_inference() and returns: types