code: def prepare_config_and_inputs(self):
      input_ids = {}
      input_ids["input_ids"] = ids_tensor(
          [self.batch_size, self.seq_length], self.vocab_size
      ).type(torch.int32)
      input_ids["use_cache"] = False
  
      config = self.get_config()
  
      return (config, input_ids)
  
imports: import unittest
  from transformers.testing_utils import is_torch_available, require_torch, tooslow
  from ...generation.test_utils import torch_device
  from ...test_configuration_common import ConfigTester
  from ...test_modeling_common import ModelTesterMixin, ids_tensor
  from ...test_pipeline_mixin import PipelineTesterMixin
label_desc: Use image node_id 2 for calling the CpmAntModelTester obj's underlying member method code with example usage: obj.prepare_config_and_inputs() and returns: config,  input_ids