code: def create_and_check_model(
      self,
      config,
      states,
      actions,
      rewards,
      returns_to_go,
      timesteps,
      attention_mask,
  ):
      model = DecisionTransformerModel(config=config)
      model.to(torch_device)
      model.eval()
      result = model(
          states,
          actions,
          rewards,
          returns_to_go,
          timesteps,
          attention_mask,
      )
  
      self.parent.assertEqual(result.state_preds.shape, states.shape)
      self.parent.assertEqual(result.action_preds.shape, actions.shape)
      self.parent.assertEqual(
          result.return_preds.shape, returns_to_go.shape
      )
      self.parent.assertEqual(
          result.last_hidden_state.shape,
          (self.batch_size, self.seq_length * 3, self.hidden_size),
      )
  
imports: import inspect
  import unittest
  from transformers import DecisionTransformerConfig, is_torch_available
  from transformers.testing_utils import 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 4 for calling the DecisionTransformerModelTester obj's underlying member method code with example usage: obj.create_and_check_model(config, states, actions, rewards, returns_to_go, timesteps, attention_mask) without return types