code: def get_config(self):
      return DecisionTransformerConfig(
          batch_size=self.batch_size,
          seq_length=self.seq_length,
          act_dim=self.act_dim,
          state_dim=self.state_dim,
          hidden_size=self.hidden_size,
          max_length=self.max_length,
      )
  
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 3 for calling the DecisionTransformerModelTester obj's underlying member method code with example usage: obj.get_config() and returns: DecisionTransformerConfig