code: def prepare_config_and_inputs(
      self,
      gradient_checkpointing=False,
      scale_attn_by_inverse_layer_idx=False,
      reorder_and_upcast_attn=False,
  ):
      input_ids = ids_tensor(
          [self.batch_size, self.seq_length], self.vocab_size
      )
  
      input_mask = None
      if self.use_input_mask:
          input_mask = random_attention_mask(
              [self.batch_size, self.seq_length]
          )
  
      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
          )
  
      mc_token_ids = None
      if self.use_mc_token_ids:
          mc_token_ids = ids_tensor(
              [self.batch_size, self.num_choices], self.seq_length
          )
  
      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(
          gradient_checkpointing=gradient_checkpointing,
          scale_attn_by_inverse_layer_idx=scale_attn_by_inverse_layer_idx,
          reorder_and_upcast_attn=reorder_and_upcast_attn,
      )
  
      head_mask = ids_tensor(
          [self.num_hidden_layers, self.num_attention_heads], 2
      )
  
      return (
          config,
          input_ids,
          input_mask,
          head_mask,
          token_type_ids,
          mc_token_ids,
          sequence_labels,
          token_labels,
          choice_labels,
      )
  
imports: import datetime
  import gc
  import math
  import unittest
  from transformers import GPT2Config, is_torch_available
  from transformers.testing_utils import backend_empty_cache, require_torch, slow, torch_device
  from ...generation.test_utils import GenerationTesterMixin
  from ...test_configuration_common import ConfigTester
  from ...test_modeling_common import ModelTesterMixin, floats_tensor, ids_tensor, random_attention_mask
  from ...test_pipeline_mixin import PipelineTesterMixin
label_desc: Use image node_id 3 for calling the GPT2ModelTester obj's underlying member method code with example usage: obj.prepare_config_and_inputs(gradient_checkpointing, scale_attn_by_inverse_layer_idx, reorder_and_upcast_attn) and returns: config,  input_ids,  input_mask,  head_mask,  token_type_ids,  mc_token_ids,  sequence_labels,  token_labels,  choice_labels