Files
FastDeploy/tests/ci_use/XPU_45T/run_45T.py
T
yinwei 20c7b741f4 [XPU] Support W4A8C8-TP4-300B Model (#4068)
* support w4a8

* delete ep block attn

* delete moe_topk_select

* update note

* update

* delte useless info

* update

* add some note

* fix some format

* update scale info

* add ans baseline

---------

Co-authored-by: YuBaoku <49938469+EmmonsCurse@users.noreply.github.com>
2025-10-10 15:41:32 +08:00

41 lines
1.5 KiB
Python

# Copyright (c) 2025 PaddlePaddle Authors. All Rights Reserved.
#
# 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.
import openai
def test_45t():
ip = "0.0.0.0"
service_http_port = "8188" # 服务配置的
client = openai.Client(base_url=f"http://{ip}:{service_http_port}/v1", api_key="EMPTY_API_KEY")
base_response = "你好!我是一个基于人工智能技术开发的助手,可以帮你解答问题、提供建议、聊天交流或者完成一些任务。无论是学习、工作还是生活中的疑问,都可以随时告诉我哦~😊 你有什么想聊的吗?"
# 非流式对话
response = client.chat.completions.create(
model="default",
messages=[
{"role": "user", "content": "你好,你是谁?"},
],
temperature=1,
top_p=0,
max_tokens=64,
stream=False,
)
print(response.choices[0].message.content)
print(base_response)
assert response.choices[0].message.content == base_response
if __name__ == "__main__":
test_45t()