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44 lines
1.2 KiB
Python
44 lines
1.2 KiB
Python
from __future__ import annotations
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import typing as t
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import pytest
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import openllm
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if t.TYPE_CHECKING:
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import contextlib
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from .conftest import HandleProtocol
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from .conftest import ResponseComparator
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from .conftest import _Handle
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model = 'opt'
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model_id = 'facebook/opt-125m'
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@pytest.fixture(scope='module')
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def opt_125m_handle(
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handler: HandleProtocol, deployment_mode: t.Literal['container', 'local'], clean_context: contextlib.ExitStack
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):
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with openllm.testing.prepare(
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model, model_id=model_id, deployment_mode=deployment_mode, clean_context=clean_context
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) as image_tag:
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with handler(model=model, model_id=model_id, image_tag=image_tag) as handle:
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yield handle
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@pytest.fixture(scope='module')
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async def opt_125m(opt_125m_handle: _Handle):
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await opt_125m_handle.health(240)
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return opt_125m_handle.client
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@pytest.mark.asyncio()
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async def test_opt_125m(opt_125m: t.Awaitable[openllm.client.AsyncHTTPClient], response_snapshot: ResponseComparator):
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client = await opt_125m
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response = await client.query('What is Deep learning?', max_new_tokens=20, return_response='attrs')
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assert response.configuration['generation_config']['max_new_tokens'] == 20
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assert response == response_snapshot
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