code: def __init__(
      self,
      parent,
      batch_size=2,
      seq_length=8,
      is_training=True,
      use_token_type_ids=False,
      use_input_mask=False,
      use_labels=False,
      use_mc_token_ids=False,
      vocab_size=99,
      hidden_size=32,
      num_hidden_layers=2,
      num_attention_heads=4,
      intermediate_size=37,
      num_buckets=32,
      max_distance=128,
      prompt_length=8,
      prompt_types=8,
      segment_types=8,
      init_std=1.0,
      return_dict=True,
  ):
      self.parent = parent
      self.batch_size = batch_size
      self.seq_length = seq_length
      self.is_training = is_training
      self.use_token_type_ids = use_token_type_ids
      self.use_input_mask = use_input_mask
      self.use_labels = use_labels
      self.use_mc_token_ids = use_mc_token_ids
      self.vocab_size = vocab_size
      self.hidden_size = hidden_size
      self.num_hidden_layers = num_hidden_layers
      self.num_attention_heads = num_attention_heads
      self.intermediate_size = intermediate_size
      self.num_buckets = num_buckets
      self.max_distance = max_distance
      self.prompt_length = prompt_length
      self.prompt_types = prompt_types
      self.segment_types = segment_types
      self.init_std = init_std
      self.return_dict = return_dict
  
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 1 to create a new CpmAntModelTester object  with example: obj = CpmAntModelTester(parent, batch_size, seq_length, is_training, use_token_type_ids, use_input_mask, use_labels, use_mc_token_ids, vocab_size, hidden_size, num_hidden_layers, num_attention_heads, intermediate_size, num_buckets, max_distance, prompt_length, prompt_types, segment_types, init_std, return_dict)