9935d45728
### What this PR does / why we need it? Add model basic accuracy test(Qwen2.5-0.5B-Instruct) Signed-off-by: hfadzxy <starmoon_zhang@163.com>
56 lines
1.9 KiB
Python
56 lines
1.9 KiB
Python
#
|
|
# Copyright (c) 2025 Huawei Technologies Co., Ltd. All Rights Reserved.
|
|
# Copyright 2023 The vLLM team.
|
|
#
|
|
# Licensed under the Apache License, Version 2.0 (the "License");
|
|
# you may not use this file except in compliance with the License.
|
|
# You may obtain a copy of the License at
|
|
#
|
|
# http://www.apache.org/licenses/LICENSE-2.0
|
|
#
|
|
# Unless required by applicable law or agreed to in writing, software
|
|
# distributed under the License is distributed on an "AS IS" BASIS,
|
|
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
|
# See the License for the specific language governing permissions and
|
|
# limitations under the License.
|
|
# This file is a part of the vllm-ascend project.
|
|
# Adapted from vllm/tests/basic_correctness/test_basic_correctness.py
|
|
#
|
|
"""Compare the short outputs of HF and vLLM when using greedy sampling.
|
|
|
|
Run `pytest tests/test_offline_inference.py`.
|
|
"""
|
|
import os
|
|
|
|
import pytest
|
|
import vllm # noqa: F401
|
|
from conftest import VllmRunner
|
|
|
|
os.environ["PYTORCH_NPU_ALLOC_CONF"] = "max_split_size_mb:256"
|
|
|
|
|
|
@pytest.mark.parametrize("model, distributed_executor_backend", [
|
|
("Qwen/QwQ-32B", "mp"),
|
|
])
|
|
def test_models_distributed(model: str,
|
|
distributed_executor_backend: str) -> None:
|
|
example_prompts = [
|
|
"vLLM is a high-throughput and memory-efficient inference and serving engine for LLMs.",
|
|
"Briefly describe the major milestones in the development of artificial intelligence from 1950 to 2020.",
|
|
"Compare and contrast artificial intelligence with human intelligence in terms of processing information.",
|
|
]
|
|
dtype = "half"
|
|
max_tokens = 5
|
|
with VllmRunner(
|
|
model,
|
|
dtype=dtype,
|
|
tensor_parallel_size=4,
|
|
distributed_executor_backend=distributed_executor_backend,
|
|
) as vllm_model:
|
|
vllm_model.generate_greedy(example_prompts, max_tokens)
|
|
|
|
|
|
if __name__ == "__main__":
|
|
import pytest
|
|
pytest.main([__file__])
|