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https://github.com/huggingface/text-generation-inference.git
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64 lines
1.4 KiB
Python
64 lines
1.4 KiB
Python
import pytest
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from utils import health_check
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@pytest.fixture(scope="module")
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def mt0_base(launcher):
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with launcher("bigscience/mt0-base") as client:
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yield client
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@pytest.mark.asyncio
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async def test_mt0_base(mt0_base, snapshot_test):
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await health_check(mt0_base, 60)
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response = await mt0_base.generate(
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"Why is the sky blue?",
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max_new_tokens=10,
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top_p=0.9,
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seed=0,
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)
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assert response.details.generated_tokens == 5
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assert snapshot_test(response)
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@pytest.mark.asyncio
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async def test_mt0_base_all_params(mt0_base, snapshot_test):
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await health_check(mt0_base, 60)
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response = await mt0_base.generate(
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"Why is the sky blue?",
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max_new_tokens=10,
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repetition_penalty=1.2,
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return_full_text=True,
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stop_sequences=["test"],
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temperature=0.5,
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top_p=0.9,
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top_k=10,
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truncate=5,
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typical_p=0.9,
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watermark=True,
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seed=0,
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)
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assert response.details.generated_tokens == 10
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assert snapshot_test(response)
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@pytest.mark.asyncio
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async def test_mt0_base_load(mt0_base, generate_load, snapshot_test):
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await health_check(mt0_base, 60)
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responses = await generate_load(
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mt0_base,
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"Why is the sky blue?",
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max_new_tokens=10,
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n=4,
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)
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assert len(responses) == 4
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assert snapshot_test(responses)
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