7c7714d856
Co-authored-by: Nick Hill <nickhill@us.ibm.com> Co-authored-by: rshaw@neuralmagic.com <rshaw@neuralmagic.com> Co-authored-by: Robert Shaw <114415538+robertgshaw2-neuralmagic@users.noreply.github.com> Co-authored-by: Simon Mo <simon.mo@hey.com>
86 lines
2.9 KiB
Python
86 lines
2.9 KiB
Python
import asyncio
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from contextlib import suppress
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from dataclasses import dataclass
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from unittest.mock import MagicMock
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from vllm.config import MultiModalConfig
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from vllm.engine.multiprocessing.client import MQLLMEngineClient
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from vllm.entrypoints.openai.protocol import ChatCompletionRequest
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from vllm.entrypoints.openai.serving_chat import OpenAIServingChat
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from vllm.transformers_utils.tokenizer import get_tokenizer
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MODEL_NAME = "openai-community/gpt2"
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CHAT_TEMPLATE = "Dummy chat template for testing {}"
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@dataclass
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class MockModelConfig:
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tokenizer = MODEL_NAME
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trust_remote_code = False
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tokenizer_mode = "auto"
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max_model_len = 100
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tokenizer_revision = None
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embedding_mode = False
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multimodal_config = MultiModalConfig()
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@dataclass
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class MockEngine:
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async def get_model_config(self):
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return MockModelConfig()
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async def _async_serving_chat_init():
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engine = MockEngine()
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model_config = await engine.get_model_config()
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serving_completion = OpenAIServingChat(engine,
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model_config,
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served_model_names=[MODEL_NAME],
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response_role="assistant",
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chat_template=CHAT_TEMPLATE,
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lora_modules=None,
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prompt_adapters=None,
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request_logger=None)
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return serving_completion
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def test_async_serving_chat_init():
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serving_completion = asyncio.run(_async_serving_chat_init())
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assert serving_completion.chat_template == CHAT_TEMPLATE
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def test_serving_chat_should_set_correct_max_tokens():
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mock_engine = MagicMock(spec=MQLLMEngineClient)
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mock_engine.get_tokenizer.return_value = get_tokenizer(MODEL_NAME)
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mock_engine.errored = False
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serving_chat = OpenAIServingChat(mock_engine,
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MockModelConfig(),
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served_model_names=[MODEL_NAME],
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response_role="assistant",
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chat_template=CHAT_TEMPLATE,
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lora_modules=None,
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prompt_adapters=None,
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request_logger=None)
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req = ChatCompletionRequest(
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model=MODEL_NAME,
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messages=[{
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"role": "user",
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"content": "what is 1+1?"
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}],
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guided_decoding_backend="outlines",
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)
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with suppress(Exception):
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asyncio.run(serving_chat.create_chat_completion(req))
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assert mock_engine.generate.call_args.args[1].max_tokens == 93
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req.max_tokens = 10
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with suppress(Exception):
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asyncio.run(serving_chat.create_chat_completion(req))
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assert mock_engine.generate.call_args.args[1].max_tokens == 10
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