code: def get_config(self):
      return XGLMConfig(
          vocab_size=self.vocab_size,
          d_model=self.hidden_size,
          num_layers=self.num_hidden_layers,
          attention_heads=self.num_attention_heads,
          ffn_dim=self.ffn_dim,
          activation_function=self.activation_function,
          activation_dropout=self.activation_dropout,
          attention_dropout=self.attention_dropout,
          max_position_embeddings=self.max_position_embeddings,
          initializer_range=self.initializer_range,
          use_cache=True,
          bos_token_id=self.bos_token_id,
          eos_token_id=self.eos_token_id,
          pad_token_id=self.pad_token_id,
          return_dict=True,
      )
  
imports: import unittest
  from transformers import XGLMConfig, XGLMTokenizer, is_tf_available
  from transformers.testing_utils import require_tf, slow
  from ...test_configuration_common import ConfigTester
  from ...test_modeling_tf_common import TFModelTesterMixin, floats_tensor, ids_tensor, random_attention_mask
label_desc: Use image node_id 4 for calling the TFXGLMModelTester obj's underlying member method code with example usage: obj.get_config() and returns: XGLMConfig