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f16077a939
* Enhance run_ci_xpu.sh with caching and prefill options * Update model path and configuration in run_ci_xpu.sh * Add '北朝' keyword to assertion in run_45vl.py * Enhance process termination logic in run_ci_xpu.sh * Set timeout for CI_XPU job to 60 minutes * Remove extra newline in stop_processes function * Update paddlepaddle-xpu installation command Comment out the previous paddlepaddle-xpu installation command and replace it with a specific version installation due to EP parallel error. * Update PaddlePaddle installation command * Remove max_tokens from model response configuration Removed max_tokens parameter from the model response call.
117 lines
3.5 KiB
Python
117 lines
3.5 KiB
Python
# Copyright (c) 2025 PaddlePaddle Authors. All Rights Reserved.
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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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VL模型测试 - ERNIE-4.5-VL-28B 视觉语言模型
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测试配置:
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- 模型: ERNIE-4.5-VL-28B-A3B-Thinking
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- 量化: wint8
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- Tensor Parallel: 4
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- 特性: reasoning-parser, tool-call-parser, enable-chunked-prefill
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"""
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import openai
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import pytest
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from conftest import get_model_path, get_port_num, print_logs_on_failure, start_server
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def test_vl_model(xpu_env):
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"""VL视觉语言模型测试"""
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print("\n============================开始vl模型测试!============================")
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# 获取配置
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port_num = get_port_num()
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model_path = get_model_path()
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# 构建服务器启动参数
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server_args = [
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"--model",
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f"{model_path}/ERNIE-4.5-VL-28B-A3B-Thinking",
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"--port",
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str(port_num),
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"--engine-worker-queue-port",
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str(port_num + 1),
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"--metrics-port",
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str(port_num + 2),
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"--cache-queue-port",
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str(port_num + 47873),
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"--tensor-parallel-size",
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"4",
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"--max-model-len",
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"32768",
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"--max-num-seqs",
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"32",
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"--quantization",
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"wint8",
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"--reasoning-parser",
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"ernie-45-vl-thinking",
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"--tool-call-parser",
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"ernie-45-vl-thinking",
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"--mm-processor-kwargs",
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'{"image_max_pixels": 12845056 }',
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"--enable-chunked-prefill",
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]
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# 启动服务器
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if not start_server(server_args):
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pytest.fail("VL模型服务启动失败")
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# 执行测试
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try:
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ip = "0.0.0.0"
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client = openai.Client(base_url=f"http://{ip}:{port_num}/v1", api_key="EMPTY_API_KEY")
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# 非流式对话(带图像)
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response = client.chat.completions.create(
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model="default",
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messages=[
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{
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"role": "user",
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"content": [
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{
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"type": "image_url",
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"image_url": {
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"url": "https://paddlenlp.bj.bcebos.com/datasets/paddlemix/demo_images/example2.jpg"
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},
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},
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{"type": "text", "text": "图片中的文物来自哪个时代?"},
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],
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},
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],
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temperature=1,
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top_p=0,
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stream=False,
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)
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print(f"\n模型回复: {response.choices[0].message.content}")
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# 验证响应
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assert any(
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keyword in response.choices[0].message.content for keyword in ["北魏", "北齐", "释迦牟尼", "北朝"]
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), f"响应内容不符合预期: {response.choices[0].message.content}"
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print("\nVL模型测试通过!")
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except Exception as e:
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print(f"\nVL模型测试失败: {str(e)}")
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print_logs_on_failure()
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pytest.fail(f"VL模型测试失败: {str(e)}")
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if __name__ == "__main__":
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pytest.main([__file__, "-v", "-s"])
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