code: def check_use_cache_forward_with_attn_mask(
      self, model_class_name, config, input_ids, attention_mask
  ):
      max_decoder_length = 20
      model = model_class_name(config)
  
      attention_mask_cache = jnp.concatenate(
          [
              attention_mask,
              jnp.zeros(
                  (
                      attention_mask.shape[0],
                      max_decoder_length - attention_mask.shape[1],
                  )
              ),
          ],
          axis=-1,
      )
  
      past_key_values = model.init_cache(
          input_ids.shape[0], max_decoder_length
      )
      position_ids = jnp.broadcast_to(
          jnp.arange(input_ids.shape[-1] - 1)[None, :],
          (input_ids.shape[0], input_ids.shape[-1] - 1),
      )
  
      outputs_cache = model(
          input_ids[:, :-1],
          attention_mask=attention_mask_cache,
          past_key_values=past_key_values,
          position_ids=position_ids,
      )
      position_ids = jnp.array(
          input_ids.shape[0] * [[input_ids.shape[-1] - 1]], dtype="i4"
      )
      outputs_cache_next = model(
          input_ids[:, -1:],
          past_key_values=outputs_cache.past_key_values,
          attention_mask=attention_mask_cache,
          position_ids=position_ids,
      )
  
      outputs = model(input_ids, attention_mask=attention_mask)
  
      diff = np.max(
          np.abs(
              (outputs_cache_next[0][:, -1, :5] - outputs[0][:, -1, :5])
          )
      )
      self.parent.assertTrue(diff < 1e-3, msg=f"Max diff is {diff}")
  
imports: import tempfile
  import unittest
  import numpy
  import transformers
  from transformers import GPT2Config, GPT2Tokenizer, is_flax_available, is_torch_available
  from transformers.testing_utils import is_pt_flax_cross_test, require_flax, slow
  from ...generation.test_flax_utils import FlaxGenerationTesterMixin
  from ...test_modeling_flax_common import FlaxModelTesterMixin, floats_tensor, ids_tensor, random_attention_mask
label_desc: Use image node_id 6 for calling the FlaxGPT2ModelTester obj's underlying member method code with example usage: obj.check_use_cache_forward_with_attn_mask(model_class_name, config, input_ids, attention_mask) without return types