Tests: skip audio model tests when torchaudio or librosa is missing (#50423)

* Tests: skip the Higgs Audio V2 tokenizer tests without torchaudio

The model requires the torchaudio backend, so without it every test failed on the missing-backend placeholder
instead of skipping.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>

* Tests: import librosa only when available in the Qwen audio tests

Qwen2.5-Omni, Qwen2-Audio and Qwen3-Omni-MoE imported librosa at module level, so without it the whole file failed
to collect. Only the integration tests load audio with it: they now require it, and the rest run.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>

---------

Co-authored-by: Claude Opus 5.5 <noreply@anthropic.com>

Author: IlyasMoutawwakil

tests/models/higgs_audio_v2_tokenizer/test_modeling_higgs_audio_v2_tokenizer.py

@@ -29,6 +29,7 @@
     require_flash_attn,
     require_torch,
     require_torch_gpu,
+    require_torchaudio,
     slow,
     torch_device,
 )
@@ -105,6 +106,7 @@ def create_and_check_model_forward(self, config, inputs_dict):
 
 
 @require_torch
+@require_torchaudio
 class HiggsAudioV2TokenizerModelTest(ModelTesterMixin, unittest.TestCase):
     all_model_classes = (HiggsAudioV2TokenizerModel,) if is_torch_available() else ()
     is_encoder_decoder = True

tests/models/qwen2_5_omni/test_modeling_qwen2_5_omni.py

@@ -19,7 +19,6 @@
 from io import BytesIO
 from urllib.request import urlopen
 
-import librosa
 import pytest
 import requests
 
@@ -35,9 +34,11 @@
 from transformers.testing_utils import (
     Expectations,
     cleanup,
+    is_librosa_available,
     require_deterministic_for_accelerator,
     require_deterministic_for_xpu,
     require_flash_attn,
+    require_librosa,
     require_torch,
     require_torch_accelerator,
     slow,
@@ -54,6 +55,9 @@
 from ...test_pipeline_mixin import PipelineTesterMixin
 
 
+if is_librosa_available():
+    import librosa
+
 if is_torch_available():
     import torch
 
@@ -604,6 +608,7 @@ def test_get_rope_index_video_with_audio(self):
 
 
 @require_torch
+@require_librosa
 class Qwen2_5OmniModelIntegrationTest(unittest.TestCase):
     def setUp(self):
         self.processor = AutoProcessor.from_pretrained("Qwen/Qwen2.5-Omni-7B")

tests/models/qwen2_audio/test_modeling_qwen2_audio.py

@@ -17,8 +17,6 @@
 from io import BytesIO
 from urllib.request import urlopen
 
-import librosa
-
 from transformers import (
     AutoProcessor,
     Qwen2AudioConfig,
@@ -28,6 +26,8 @@
 )
 from transformers.testing_utils import (
     cleanup,
+    is_librosa_available,
+    require_librosa,
     require_torch,
     slow,
     torch_device,
@@ -36,6 +36,9 @@
 from ...alm_tester import ALMModelTest, ALMModelTester
 
 
+if is_librosa_available():
+    import librosa
+
 if is_torch_available():
     import torch
 
@@ -79,6 +82,7 @@ def test_inputs_embeds_matches_input_ids(self):
 
 
 @require_torch
+@require_librosa
 class Qwen2AudioForConditionalGenerationIntegrationTest(unittest.TestCase):
     def setUp(self):
         cleanup(torch_device, gc_collect=True)

tests/models/qwen3_omni_moe/test_modeling_qwen3_omni_moe.py

@@ -19,7 +19,6 @@
 from io import BytesIO
 from urllib.request import urlopen
 
-import librosa
 import pytest
 import requests
 
@@ -39,7 +38,9 @@
     Expectations,
     backend_device_count,
     get_cpu_ram_total_gib,
+    is_librosa_available,
     require_flash_attn,
+    require_librosa,
     require_torch,
     require_torch_accelerator,
     run_first,
@@ -59,6 +60,9 @@
 from ...test_tensor_parallel_mixin import TensorParallelTesterMixin
 
 
+if is_librosa_available():
+    import librosa
+
 if is_torch_available():
     import torch
 
@@ -691,6 +695,7 @@ def test_code_predictor_config_init(self):
 
 
 @require_torch
+@require_librosa
 class Qwen3OmniModelIntegrationTest(MemoryCleanupMixin, unittest.TestCase):
     maxDiff = None