1b424fb7f1
### What this PR does / why we need it? This PR revise the test cases of various features on the warehouse which add the enablement of aclgraph to the test cases. ### Does this PR introduce _any_ user-facing change? no ### How was this patch tested? ut - vLLM version: v0.11.0rc3 - vLLM main: https://github.com/vllm-project/vllm/commit/v0.11.0 Signed-off-by: lilinsiman <lilinsiman@gmail.com>
36 lines
1.3 KiB
Python
36 lines
1.3 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.
|
|
#
|
|
from modelscope import snapshot_download # type: ignore[import-untyped]
|
|
|
|
from tests.e2e.conftest import VllmRunner
|
|
|
|
|
|
def test_quant_W8A8():
|
|
max_tokens = 5
|
|
example_prompts = [
|
|
"vLLM is a high-throughput and memory-efficient inference and serving engine for LLMs."
|
|
]
|
|
with VllmRunner(
|
|
snapshot_download("vllm-ascend/Qwen2.5-0.5B-Instruct-W8A8"),
|
|
max_model_len=8192,
|
|
enforce_eager=False,
|
|
gpu_memory_utilization=0.7,
|
|
quantization="ascend",
|
|
) as vllm_model:
|
|
vllm_model.generate_greedy(example_prompts, max_tokens)
|