[Model][Bugfix] Improve LTX audio parity and similarity guards (#6342)
Signed-off-by: mglyn <1203789601@qq.com>
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@@ -11,6 +11,31 @@ import torch
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pytestmark = [pytest.mark.core_model, pytest.mark.cpu]
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def test_ltx_base_vocoder_keeps_native_dtype(monkeypatch):
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import vllm_omni.diffusion.models.ltx2.ltx2_runtime as ltx_runtime
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class FakeBaseVocoder(torch.nn.Module):
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def __init__(self):
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super().__init__()
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self.input_dtype = None
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def forward(self, value):
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self.input_dtype = value.dtype
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return value
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monkeypatch.setattr(
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ltx_runtime.torch,
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"autocast",
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lambda **_kwargs: (_ for _ in ()).throw(AssertionError("base vocoder must not use autocast")),
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)
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vocoder = FakeBaseVocoder()
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output = ltx_runtime._run_ltx_vocoder(vocoder, torch.ones(1, dtype=torch.bfloat16))
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assert vocoder.input_dtype == torch.bfloat16
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assert output.dtype == torch.bfloat16
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class TestLTXOutputRank:
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@pytest.mark.parametrize(
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("distributed_vae_state", "expected_decode_calls"),
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