wehub-resource-sync
51 lines
1.4 KiB
Python
51 lines
1.4 KiB
Python
# SPDX-License-Identifier: Apache-2.0
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# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
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from dataclasses import dataclass
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import pytest
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from vllm import SamplingParams
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@dataclass
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class MockModelConfig:
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is_diffusion: bool = False
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max_logprobs: int = 20
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logits_processors: list | None = None
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def get_vocab_size(self) -> int:
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return 1024
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@pytest.mark.parametrize(
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"kwargs",
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[
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{"temperature": 0.7},
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{"temperature": 0.0},
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{"min_p": 0.1},
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{"seed": 42},
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{"min_tokens": 5},
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{"logit_bias": {0: 1.0}},
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{"bad_words": ["foo"]},
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{"allowed_token_ids": [0, 1]},
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],
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)
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def test_diffusion_rejects_unsupported_params(kwargs: dict):
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params = SamplingParams(**kwargs)
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with pytest.raises(ValueError, match="not yet supported with diffusion"):
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params.verify(MockModelConfig(is_diffusion=True), None, None, None)
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def test_diffusion_accepts_default_params():
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SamplingParams().verify(MockModelConfig(is_diffusion=True), None, None, None)
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def test_diffusion_accepts_top_k_top_p():
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params = SamplingParams(top_p=0.9, top_k=10)
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params.verify(MockModelConfig(is_diffusion=True), None, None, None)
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def test_non_diffusion_models_unaffected():
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params = SamplingParams(temperature=0.7, top_k=10, seed=42)
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params.verify(MockModelConfig(), None, None, None)
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