c49ce18ea5
### What this PR does / why we need it?
Add e2e test cases for the Qwen-VL model adaptation to Ascend 310p
- vLLM version: v0.16.0
- vLLM main:
15d76f74e2
Signed-off-by: gcw_61wqY8cy <wanghengkang1@huawei.com>
42 lines
1.3 KiB
Python
42 lines
1.3 KiB
Python
#
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# Copyright (c) 2026 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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# This file is a part of the vllm-ascend project.
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import sys
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import os
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# Add 310p directory to sys.path
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current_dir = os.path.dirname(os.path.abspath(__file__))
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parent_dir = os.path.dirname(current_dir) # 310p directory
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sys.path.insert(0, parent_dir)
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from test_utils import run_vl_model_test
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def test_qwen3_vl_8b_tp2_fp16():
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"""Qwen3-VL-8B dual-card FP16 test"""
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run_vl_model_test(
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model_name="Qwen/Qwen3-VL-8B-Instruct",
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tensor_parallel_size=2,
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max_tokens=5
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)
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def test_qwen3_vl_32b_tp1_fp16():
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"""Qwen3-VL-32B 4-card FP16 test"""
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run_vl_model_test(
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model_name="Qwen/Qwen3-VL-32B-Instruct",
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tensor_parallel_size=4,
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max_tokens=5
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) |