e7e1a7dc05
### What this PR does / why we need it?
#5051 only implement a basic framework for model runner v2, but there
are still some bugs for e2e functionality, this PR aim to enable basic
functionality.
model runner v2 plans:
https://github.com/vllm-project/vllm-ascend/issues/5208
- vLLM version: release/v0.13.0
- vLLM main:
ad32e3e19c
---------
Signed-off-by: Ronald1995 <ronaldautomobile@163.com>
52 lines
1.5 KiB
Python
52 lines
1.5 KiB
Python
#
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# Copyright (c) 2025 Huawei Technologies Co., Ltd. All Rights Reserved.
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# Copyright 2023 The vLLM team.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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#
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import os
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from unittest.mock import patch
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import pytest
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from vllm import SamplingParams
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from tests.e2e.conftest import VllmRunner
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MODELS = ["Qwen/Qwen3-0.6B"]
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@pytest.mark.parametrize("model", MODELS)
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@pytest.mark.parametrize("max_tokens", [32])
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@pytest.mark.parametrize("enforce_eager", [True])
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@patch.dict(os.environ, {"VLLM_USE_V2_MODEL_RUNNER": "1"})
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def test_qwen3_dense_eager_mode(
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model: str,
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max_tokens: int,
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enforce_eager: bool,
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) -> None:
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prompts = [
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"Hello, my name is",
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"The president of the United States is",
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"The capital of France is",
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"The future of AI is",
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]
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sampling_params = SamplingParams(max_tokens=max_tokens, temperature=0.0)
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with VllmRunner(
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model,
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max_model_len=1024,
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enforce_eager=enforce_eager,
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) as runner:
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runner.model.generate(prompts, sampling_params)
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