2023-05-15 15:36:30 -06:00
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import pytest
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2023-05-16 12:22:11 -06:00
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@pytest.fixture(scope="module")
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def bloom_560_handle(launcher):
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with launcher("bigscience/bloom-560m") as handle:
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yield handle
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2023-05-15 15:36:30 -06:00
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@pytest.fixture(scope="module")
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2023-05-16 12:22:11 -06:00
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async def bloom_560(bloom_560_handle):
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await bloom_560_handle.health(240)
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2023-05-16 12:22:11 -06:00
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return bloom_560_handle.client
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2023-05-15 15:36:30 -06:00
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@pytest.mark.asyncio
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2023-05-16 12:22:11 -06:00
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async def test_bloom_560m(bloom_560, response_snapshot):
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2023-05-15 15:36:30 -06:00
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response = await bloom_560.generate(
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"Pour déguster un ortolan, il faut tout d'abord",
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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 == 10
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assert response == response_snapshot
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2023-05-15 15:36:30 -06:00
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@pytest.mark.asyncio
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2023-05-16 12:22:11 -06:00
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async def test_bloom_560m_all_params(bloom_560, response_snapshot):
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response = await bloom_560.generate(
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"Pour déguster un ortolan, il faut tout d'abord",
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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 response == response_snapshot
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2023-05-15 15:36:30 -06:00
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@pytest.mark.asyncio
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2023-05-16 12:22:11 -06:00
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async def test_bloom_560m_load(bloom_560, generate_load, response_snapshot):
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responses = await generate_load(
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bloom_560,
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"Pour déguster un ortolan, il faut tout d'abord",
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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 all([r.generated_text == responses[0].generated_text for r in responses])
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assert responses == response_snapshot
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