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import os
from typing import Literal
import torch
os.environ['CUDA_VISIBLE_DEVICES'] = '0'
def _prepare(infer_backend: Literal['vllm', 'pt', 'lmdeploy']):
from swift.llm import InferRequest, get_template
if infer_backend == 'lmdeploy':
from swift.llm import LmdeployEngine
engine = LmdeployEngine('OpenGVLab/InternVL2_5-2B', torch.float32)
elif infer_backend == 'pt':
from swift.llm import PtEngine
engine = PtEngine('Qwen/Qwen2-7B-Instruct', max_batch_size=16)
elif infer_backend == 'vllm':
from swift.llm import VllmEngine
engine = VllmEngine('Qwen/Qwen2-7B-Instruct')
template = get_template(engine.model_meta.template, engine.tokenizer)
infer_requests = [
# InferRequest([{'role': 'user', 'content': '晚上睡不着觉怎么办'}]) for i in range(100)
InferRequest([{
'role': 'user',
'content': 'hello! who are you'
}]) for i in range(100)
]
return engine, template, infer_requests
def test_infer(infer_backend):
from swift.llm import RequestConfig
from swift.plugin import InferStats
engine, template, infer_requests = _prepare(infer_backend=infer_backend)
request_config = RequestConfig(temperature=0)
infer_stats = InferStats()
response_list = engine.infer(
infer_requests, template=template, request_config=request_config, metrics=[infer_stats])
for response in response_list[:2]:
print(response.choices[0].message.content)
print(infer_stats.compute())
def test_stream(infer_backend):
from swift.llm import RequestConfig
from swift.plugin import InferStats
engine, template, infer_requests = _prepare(infer_backend=infer_backend)
infer_stats = InferStats()
request_config = RequestConfig(temperature=0, stream=True, logprobs=True)
gen_list = engine.infer(infer_requests, template=template, request_config=request_config, metrics=[infer_stats])
for response in gen_list[0]:
if response is None:
continue
print(response.choices[0].delta.content, end='', flush=True)
print()
print(infer_stats.compute())
gen_list = engine.infer(
infer_requests, template=template, request_config=request_config, use_tqdm=True, metrics=[infer_stats])
for response in gen_list[0]:
pass
print(infer_stats.compute())
if __name__ == '__main__':
test_infer('pt')
# test_stream('pt')
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