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49 lines
1.8 KiB
Python
49 lines
1.8 KiB
Python
# Copyright 2023 BentoML Team. All rights reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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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(handler: HandleProtocol, deployment_mode: t.Literal["container", "local"], clean_context: contextlib.ExitStack,):
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with openllm.testing.prepare(model, model_id=model_id, deployment_mode=deployment_mode, clean_context=clean_context) 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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