fix gemma3n case failure

src/transformers/generation/utils.py

@@ -1750,9 +1750,11 @@ def _prepare_generation_config(
                     if key == "cache_implementation" and model_generation_config.cache_implementation == "hybrid":
                         continue
                     global_default_value = getattr(global_default_generation_config, key, None)
+                    has_custom_gen_config_value = hasattr(generation_config, key)
                     custom_gen_config_value = getattr(generation_config, key, None)
                     if (
-                        custom_gen_config_value == global_default_value
+                        (not has_custom_gen_config_value)
+                        and custom_gen_config_value == global_default_value
                         and model_gen_config_value != global_default_value
                     ):
                         modified_values[key] = model_gen_config_value

tests/models/gemma3n/test_modeling_gemma3n.py

@@ -748,7 +748,7 @@ def setUp(self):
         audio_ds = load_dataset(
             "etechgrid/28.5k_wavfiles_dataset", "default", data_files="wav_dataset/103-1240-0000.wav"
         )
-        self.audio_file_path = audio_ds["train"][0]["audio"]["path"]
+        self.audio_file_path = audio_ds["train"][0]["audio"].metadata.path
         cleanup(torch_device, gc_collect=True)
 
     def tearDown(self):
@@ -996,15 +996,14 @@ def test_generation_beyond_sliding_window_with_generation_config(self):
         input_size = inputs.input_ids.shape[-1]
         self.assertTrue(input_size > model.config.get_text_config().sliding_window)
 
-        out = model.generate(**inputs, generation_config=GenerationConfig(max_new_tokens=20, do_sample=False))[
-            :, input_size:
-        ]
+        generation_config = GenerationConfig(max_new_tokens=20, do_sample=False)
+        out = model.generate(**inputs, generation_config=generation_config)[:, input_size:]
         output_text = tokenizer.batch_decode(out)
 
         EXPECTED_COMPLETIONS = Expectations({
             # FIXME: This test is VERY flaky on ROCm
             ("cuda", None): [" and I am glad to be here. This is a nice place. This is a nice place.", ", green, yellow, purple, orange, pink, brown, black, white.\n\nHere are"],
             ("rocm", (9, 4)): [' and I think it makes this place special. This is a nice place. This is a nice place', ', green, yellow, purple, orange, pink, brown, black, white.\n\nHere are'],
-            ("xpu", None): [" and I think it is very nice. I think it is nice. This is a nice place.", ", green, yellow, purple, orange, pink, brown, black, white.\n\nHere are"],
+            ("xpu", None): [" and I think it's a nice place to visit. This is a nice place. This is", ", green, yellow, orange, purple, pink, brown, black, white.\n\nHere'"],
         }).get_expectation()  # fmt: skip
         self.assertEqual(output_text, EXPECTED_COMPLETIONS)