class_docstr: Model used for testing data structures in the C++ API.
class_docstr_tok: ["Model","used","for","testing","data","structures","in","the","C++","API","."]
code: def __init__(self):
      self.arr1 = [1.0]
      self.const_arr = [constant_op.constant(1.0)]
      self.var_arr = [variables.Variable(1.0), variables.Variable(2.0)]
      self.dict1 = {"a": 1.0}
      self.var_dict = {
          "a": variables.Variable(1.0),
          "b": variables.Variable(2.0),
      }
  
imports: import os
  from absl import app
  from absl import flags
  from tensorflow.python.compat import v2_compat
  from tensorflow.python.eager import def_function
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import tensor_spec
  from tensorflow.python.module import module
  from tensorflow.python.ops import variables
  from tensorflow.python.saved_model import saved_model
label_desc: Use image node_id 1 to create a new DataStructureModel object from inherited base classes: module with example: obj = DataStructureModel()