39 lines
1.2 KiB
Python
39 lines
1.2 KiB
Python
import pytest
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import pytest_asyncio
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from huggingface_hub import snapshot_download
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from tests.utils import RemoteOpenAIServer
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from vllm.platforms import current_platform
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from .utils import ARGS, CONFIGS, ServerConfig
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# for each server config, download the model and return the config
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@pytest.fixture(scope="session", params=CONFIGS.keys())
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def server_config(request):
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config = CONFIGS[request.param]
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if current_platform.is_rocm() and not config.get("supports_rocm", True):
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pytest.skip("The {} model can't be tested on the ROCm platform".format(
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config["model"]))
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# download model and tokenizer using transformers
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snapshot_download(config["model"])
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yield CONFIGS[request.param]
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# run this for each server config
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@pytest.fixture(scope="session")
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def server(request, server_config: ServerConfig):
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model = server_config["model"]
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args_for_model = server_config["arguments"]
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with RemoteOpenAIServer(model, ARGS + args_for_model,
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max_wait_seconds=480) as server:
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yield server
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@pytest_asyncio.fixture
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async def client(server: RemoteOpenAIServer):
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async with server.get_async_client() as async_client:
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yield async_client
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