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>
60 lines
2.0 KiB
Python
60 lines
2.0 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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from tests.e2e.conftest import VllmRunner
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from PIL import Image
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import os
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def get_test_image():
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"""Get the image object for testing"""
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current_dir = os.path.dirname(os.path.abspath(__file__))
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image_path = os.path.join(current_dir, "data", "qwen.png")
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return Image.open(image_path)
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def get_test_prompts():
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"""Get the prompts for testing"""
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return ["<|image_pad|>Describe this image in detail."]
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def run_vl_model_test(model_name: str,
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tensor_parallel_size: int,
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max_tokens: int,
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dtype: str = "float16",
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enforce_eager: bool = True):
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"""
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Generic visual language model test function
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Args:
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model_name: Model name, e.g., "Qwen/Qwen3-VL-4B"
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tensor_parallel_size: Tensor parallel size
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max_tokens: Maximum number of generated tokens
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dtype: Data type, default is float16
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enforce_eager: Whether to enforce eager mode
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"""
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image = get_test_image()
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images = [image]
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prompts = get_test_prompts()
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with VllmRunner(
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model_name,
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tensor_parallel_size=tensor_parallel_size,
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enforce_eager=enforce_eager,
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dtype=dtype
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) as vllm_model:
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vllm_model.generate_greedy(prompts, max_tokens, images=images) |