vllm-omni PR #3118 — L1 local pytest output (core_model and cpu) on commit 0966b4a7

l1_full.log

============================= test session starts ==============================
platform linux -- Python 3.12.13, pytest-9.0.3, pluggy-1.6.0 -- /usr/bin/python3
cachedir: .pytest_cache
rootdir: /tmp/pr-l1
configfile: pyproject.toml
plugins: mock-3.15.1, asyncio-1.3.0, hydra-core-1.3.2, typeguard-4.5.1, anyio-4.13.0
asyncio: mode=Mode.AUTO, debug=False, asyncio_default_fixture_loop_scope=None, asyncio_default_test_loop_scope=function
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=================================== FAILURES ===================================
__________________ test_seed_tts_text_dataset_omits_ref_audio __________________

seed_tts_root = PosixPath('/tmp/pytest-of-root/pytest-3/test_seed_tts_text_dataset_omi0')
mocker = <pytest_mock.plugin.MockerFixture object at 0x7e0edf457020>

    def test_seed_tts_text_dataset_omits_ref_audio(seed_tts_root, mocker):
        ds = SeedTTSTextDataset(
            dataset_path=str(seed_tts_root),
            random_seed=0,
            locale="en",
            disable_shuffle=True,
        )
        tokenizer = mocker.MagicMock()
        tokenizer.encode = lambda text, **kw: [0] * len(text.split())
>       requests = ds.sample(tokenizer, num_requests=3)
                   ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

benchmarks/test_seed_tts_dataset_variants.py:68: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../vllm_omni/benchmarks/data_modules/seed_tts_dataset.py:453: in sample
    tok = get_cached_tokenizer(tokenizer)
          ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

tokenizer = <MagicMock id='138602337073872'>

    def get_cached_tokenizer(tokenizer: HfTokenizer) -> HfTokenizer:
        """
        By default, transformers will recompute multiple tokenizer properties
        each time they are called, leading to a significant slowdown.
        This proxy caches these properties for faster access.
        """
        cached_tokenizer = copy.copy(tokenizer)
    
        tokenizer_all_special_ids = tokenizer.all_special_ids
        tokenizer_all_special_tokens = tokenizer.all_special_tokens
        tokenizer_vocab = tokenizer.get_vocab()
        tokenizer_len = len(tokenizer)
    
>       max_token_id = max(tokenizer_vocab.values())
                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
E       ValueError: max() iterable argument is empty

/usr/local/lib/python3.12/dist-packages/vllm/tokenizers/hf.py:30: ValueError
---------------------------- Captured stdout setup -----------------------------

=== PRE-TEST GPU CLEANUP ===

Skipping GPU memory cleanup check (typically: instance already up; no check needed between tests)

--- Running test: test_seed_tts_text_dataset_omits_ref_audio
----------------------------- Captured stdout call -----------------------------
INFO 04-24 22:25:08 [seed_tts_dataset.py:200] Loaded Seed-TTS: root=/tmp/pytest-of-root/pytest-3/test_seed_tts_text_dataset_omi0 locale=en rows=5 inline_ref_audio=True
--------------------------- Captured stdout teardown ---------------------------

Skipping GPU memory cleanup check (typically: instance already up; no check needed between tests)

________________ test_seed_tts_design_dataset_has_instructions _________________

seed_tts_design_root = PosixPath('/tmp/pytest-of-root/pytest-3/test_seed_tts_design_dataset_h0')
mocker = <pytest_mock.plugin.MockerFixture object at 0x7e0ed6215ee0>

    def test_seed_tts_design_dataset_has_instructions(seed_tts_design_root, mocker):
        ds = SeedTTSDesignDataset(
            dataset_path=str(seed_tts_design_root),
            random_seed=0,
            locale="en",
            disable_shuffle=True,
        )
        tokenizer = mocker.MagicMock()
        tokenizer.encode = lambda text, **kw: [0] * len(text.split())
>       requests = ds.sample(tokenizer, num_requests=3)
                   ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

benchmarks/test_seed_tts_dataset_variants.py:103: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../vllm_omni/benchmarks/data_modules/seed_tts_dataset.py:364: in sample
    tok = get_cached_tokenizer(tokenizer)
          ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

tokenizer = <MagicMock id='138602187149376'>

    def get_cached_tokenizer(tokenizer: HfTokenizer) -> HfTokenizer:
        """
        By default, transformers will recompute multiple tokenizer properties
        each time they are called, leading to a significant slowdown.
        This proxy caches these properties for faster access.
        """
        cached_tokenizer = copy.copy(tokenizer)
    
        tokenizer_all_special_ids = tokenizer.all_special_ids
        tokenizer_all_special_tokens = tokenizer.all_special_tokens
        tokenizer_vocab = tokenizer.get_vocab()
        tokenizer_len = len(tokenizer)
    
>       max_token_id = max(tokenizer_vocab.values())
                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
E       ValueError: max() iterable argument is empty

/usr/local/lib/python3.12/dist-packages/vllm/tokenizers/hf.py:30: ValueError
---------------------------- Captured stdout setup -----------------------------

=== PRE-TEST GPU CLEANUP ===

Skipping GPU memory cleanup check (typically: instance already up; no check needed between tests)

--- Running test: test_seed_tts_design_dataset_has_instructions
----------------------------- Captured stdout call -----------------------------
INFO 04-24 22:25:08 [seed_tts_dataset.py:345] Loaded Seed-TTS-Design: root=/tmp/pytest-of-root/pytest-3/test_seed_tts_design_dataset_h0 locale=en rows=5
--------------------------- Captured stdout teardown ---------------------------

Skipping GPU memory cleanup check (typically: instance already up; no check needed between tests)

___________ test_seed_tts_design_dataset_rejects_missing_description ___________

seed_tts_design_root = PosixPath('/tmp/pytest-of-root/pytest-3/test_seed_tts_design_dataset_r0')
mocker = <pytest_mock.plugin.MockerFixture object at 0x7e0ed629a1e0>

    def test_seed_tts_design_dataset_rejects_missing_description(seed_tts_design_root, mocker):
        """Lines without a voice_description should be skipped."""
        locale_dir = seed_tts_design_root / "en"
        (locale_dir / "meta.lst").write_text(
            "bad001|||target text without description\nok001|||good target|A clear female voice.\n",
            encoding="utf-8",
        )
        ds = SeedTTSDesignDataset(
            dataset_path=str(seed_tts_design_root),
            random_seed=0,
            locale="en",
            disable_shuffle=True,
        )
        tokenizer = mocker.MagicMock()
        tokenizer.encode = lambda text, **kw: [0] * len(text.split())
>       requests = ds.sample(tokenizer, num_requests=10)
                   ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

benchmarks/test_seed_tts_dataset_variants.py:130: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../vllm_omni/benchmarks/data_modules/seed_tts_dataset.py:364: in sample
    tok = get_cached_tokenizer(tokenizer)
          ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

tokenizer = <MagicMock id='138602187694944'>

    def get_cached_tokenizer(tokenizer: HfTokenizer) -> HfTokenizer:
        """
        By default, transformers will recompute multiple tokenizer properties
        each time they are called, leading to a significant slowdown.
        This proxy caches these properties for faster access.
        """
        cached_tokenizer = copy.copy(tokenizer)
    
        tokenizer_all_special_ids = tokenizer.all_special_ids
        tokenizer_all_special_tokens = tokenizer.all_special_tokens
        tokenizer_vocab = tokenizer.get_vocab()
        tokenizer_len = len(tokenizer)
    
>       max_token_id = max(tokenizer_vocab.values())
                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
E       ValueError: max() iterable argument is empty

/usr/local/lib/python3.12/dist-packages/vllm/tokenizers/hf.py:30: ValueError
---------------------------- Captured stdout setup -----------------------------

=== PRE-TEST GPU CLEANUP ===

Skipping GPU memory cleanup check (typically: instance already up; no check needed between tests)

--- Running test: test_seed_tts_design_dataset_rejects_missing_description
----------------------------- Captured stdout call -----------------------------
WARNING 04-24 22:25:08 [seed_tts_dataset.py:282] Skipping malformed design meta.lst line (need 5 '|'-fields): 'bad001|||target text without description'
INFO 04-24 22:25:08 [seed_tts_dataset.py:345] Loaded Seed-TTS-Design: root=/tmp/pytest-of-root/pytest-3/test_seed_tts_design_dataset_r0 locale=en rows=1
--------------------------- Captured stdout teardown ---------------------------

Skipping GPU memory cleanup check (typically: instance already up; no check needed between tests)

=============================== warnings summary ===============================
../vllm_omni/__init__.py:19
  /tmp/pr-l1/vllm_omni/__init__.py:19: RuntimeWarning: Failed to import version from _version.py: No module named 'vllm_omni._version'
  This typically happens in development mode before building.
  Using fallback version 'dev'.
    from .version import __version__, __version_tuple__  # isort:skip # noqa: F401

<frozen importlib._bootstrap>:488
  <frozen importlib._bootstrap>:488: DeprecationWarning: builtin type SwigPyPacked has no __module__ attribute

<frozen importlib._bootstrap>:488
  <frozen importlib._bootstrap>:488: DeprecationWarning: builtin type SwigPyObject has no __module__ attribute

../../../usr/local/lib/python3.12/dist-packages/torch/jit/_script.py:362: 14 warnings
  /usr/local/lib/python3.12/dist-packages/torch/jit/_script.py:362: DeprecationWarning: `torch.jit.script_method` is deprecated. Please switch to `torch.compile` or `torch.export`.
    warnings.warn(

../../../usr/local/lib/python3.12/dist-packages/pydub/utils.py:14
  /usr/local/lib/python3.12/dist-packages/pydub/utils.py:14: DeprecationWarning: 'audioop' is deprecated and slated for removal in Python 3.13
    import audioop

../vllm_omni/entrypoints/openai/protocol/audio.py:128
  /tmp/pr-l1/vllm_omni/entrypoints/openai/protocol/audio.py:128: PydanticDeprecatedSince20: Support for class-based `config` is deprecated, use ConfigDict instead. Deprecated in Pydantic V2.0 to be removed in V3.0. See Pydantic V2 Migration Guide at https://errors.pydantic.dev/2.12/migration/
    class CreateAudio(BaseModel):

../../../usr/local/lib/python3.12/dist-packages/torch/jit/_script.py:1480
  /usr/local/lib/python3.12/dist-packages/torch/jit/_script.py:1480: DeprecationWarning: `torch.jit.script` is deprecated. Please switch to `torch.compile` or `torch.export`.
    warnings.warn(

diffusion/attention/test_attention_sp.py:59
  /tmp/pr-l1/tests/diffusion/attention/test_attention_sp.py:59: PytestCollectionWarning: cannot collect test class 'TestAttentionModel' because it has a __init__ constructor (from: tests/diffusion/attention/test_attention_sp.py)
    class TestAttentionModel(torch.nn.Module):

diffusion/attention/test_attention_sp.py:117
  /tmp/pr-l1/tests/diffusion/attention/test_attention_sp.py:117: PytestCollectionWarning: cannot collect test class 'TestMultiLayerAttentionModel' because it has a __init__ constructor (from: tests/diffusion/attention/test_attention_sp.py)
    class TestMultiLayerAttentionModel(torch.nn.Module):

diffusion/distributed/test_cfg_parallel.py:120
  /tmp/pr-l1/tests/diffusion/distributed/test_cfg_parallel.py:120: PytestCollectionWarning: cannot collect test class 'TestCFGPipeline' because it has a __init__ constructor (from: tests/diffusion/distributed/test_cfg_parallel.py)
    class TestCFGPipeline(CFGParallelMixin):

diffusion/models/glm_image/test_glm_image_sp.py:129
  /tmp/pr-l1/tests/diffusion/models/glm_image/test_glm_image_sp.py:129: PytestUnknownMarkWarning: Unknown pytest.mark.sp - is this a typo?  You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html
    @pytest.mark.sp

../vllm_omni/model_executor/models/hunyuan_image3/hunyuan_image3.py:78
  /tmp/pr-l1/vllm_omni/model_executor/models/hunyuan_image3/hunyuan_image3.py:78: DeprecationWarning: `vllm.transformers_utils.tokenizer.get_tokenizer` has been moved to `vllm.tokenizers.get_tokenizer`. The old name will be removed in a future version.
    from vllm.transformers_utils.tokenizer import get_tokenizer

tests/comfyui/test_comfyui_integration.py: 18 warnings
tests/diffusion/test_multiproc_engine_concurrency.py: 3 warnings
  /usr/lib/python3.12/multiprocessing/popen_fork.py:66: DeprecationWarning: This process (pid=5494) is multi-threaded, use of fork() may lead to deadlocks in the child.
    self.pid = os.fork()

tests/distributed/omni_connectors/test_kv_flow.py::test_manager_extraction
  /tmp/pr-l1/vllm_omni/distributed/omni_connectors/kv_transfer_manager.py:257: UserWarning: The given buffer is not writable, and PyTorch does not support non-writable tensors. This means you can write to the underlying (supposedly non-writable) buffer using the tensor. You may want to copy the buffer to protect its data or make it writable before converting it to a tensor. This type of warning will be suppressed for the rest of this program. (Triggered internally at /pytorch/torch/csrc/utils/tensor_new.cpp:1581.)
    return torch.frombuffer(tensor_data_mv, dtype=torch.uint8, offset=offset, count=nbytes)

-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html
--- Running Summary
=========================== short test summary info ============================
FAILED benchmarks/test_seed_tts_dataset_variants.py::test_seed_tts_text_dataset_omits_ref_audio
FAILED benchmarks/test_seed_tts_dataset_variants.py::test_seed_tts_design_dataset_has_instructions
FAILED benchmarks/test_seed_tts_dataset_variants.py::test_seed_tts_design_dataset_rejects_missing_description
= 3 failed, 1906 passed, 1 skipped, 937 deselected, 47 warnings in 361.57s (0:06:01) =
sys:1: DeprecationWarning: builtin type swigvarlink has no __module__ attribute