code: def prepare_config_and_inputs(self):
      input_ids = ids_tensor(
          [self.batch_size, self.seq_length], self.vocab_size
      )
  
      input_mask = None
      if self.use_input_mask:
          input_mask = torch.tril(
              torch.ones(self.batch_size, self.seq_length)
          ).to(torch_device)
  
      token_type_ids = None
      if self.use_token_type_ids:
          token_type_ids = ids_tensor(
              [self.batch_size, self.seq_length], self.type_vocab_size
          )
  
      sequence_labels = None
      token_labels = None
      choice_labels = None
      if self.use_labels:
          sequence_labels = ids_tensor(
              [self.batch_size], self.type_sequence_label_size
          )
          token_labels = ids_tensor(
              [self.batch_size, self.seq_length], self.num_labels
          )
          choice_labels = ids_tensor(
              [self.batch_size], self.num_choices
          )
  
      config = self.get_config()
  
      return (
          config,
          input_ids,
          token_type_ids,
          input_mask,
          sequence_labels,
          token_labels,
          choice_labels,
      )
  
imports: import gc
  import unittest
  from parameterized import parameterized
  from transformers import PersimmonConfig, is_torch_available, set_seed
  from transformers.testing_utils import backend_empty_cache, require_torch, require_torch_accelerator, require_torch_fp16, slow, torch_device
  from ...generation.test_utils import GenerationTesterMixin
  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 PersimmonModelTester obj's underlying member method code with example usage: obj.prepare_config_and_inputs() and returns: config,  input_ids,  token_type_ids,  input_mask,  sequence_labels,  token_labels,  choice_labels