| |
| import os |
| from typing import List |
|
|
| os.environ['CUDA_VISIBLE_DEVICES'] = '0' |
|
|
|
|
| def infer_batch(engine: 'InferEngine', infer_requests: List['InferRequest']): |
| request_config = RequestConfig(max_tokens=64, temperature=0) |
|
|
| resp_list = engine.infer(infer_requests, request_config) |
|
|
| query0 = infer_requests[0].messages[0]['content'] |
| print(f'query0: {query0}') |
| print(f'response0: {resp_list[0].choices[0].message.content}') |
|
|
|
|
| def run_client(host: str = '127.0.0.1', port: int = 8000): |
| engine = InferClient(host=host, port=port) |
| print(f'models: {engine.models}') |
|
|
| infer_requests = [InferRequest(messages=[{'role': 'user', 'content': '浙江 -> 杭州\n安徽 -> 合肥\n四川 ->'}])] |
| infer_batch(engine, infer_requests) |
|
|
|
|
| if __name__ == '__main__': |
| from swift.llm import InferEngine, InferRequest, InferClient, RequestConfig, run_deploy, DeployArguments |
| |
| with run_deploy( |
| DeployArguments( |
| model='Qwen/Qwen2.5-1.5B', verbose=False, log_interval=-1, infer_backend='pt', |
| use_chat_template=False)) as port: |
| run_client(port=port) |
|
|
