hf_text-generation-inference/integration-tests/models/test_bloom_560m.py

68 lines
1.7 KiB
Python

import pytest
@pytest.fixture(scope="module")
def bloom_560_handle(launcher):
with launcher("bigscience/bloom-560m") as handle:
yield handle
@pytest.fixture(scope="module")
async def bloom_560(bloom_560_handle):
await bloom_560_handle.health(240)
return bloom_560_handle.client
# @pytest.mark.release
@pytest.mark.asyncio
async def test_bloom_560m(bloom_560, response_snapshot):
response = await bloom_560.generate(
"Pour déguster un ortolan, il faut tout d'abord",
max_new_tokens=10,
top_p=0.9,
decoder_input_details=True,
seed=0,
)
assert response.details.generated_tokens == 10
assert response == response_snapshot
# @pytest.mark.release
@pytest.mark.asyncio
async def test_bloom_560m_all_params(bloom_560, response_snapshot):
response = await bloom_560.generate(
"Pour déguster un ortolan, il faut tout d'abord",
max_new_tokens=10,
repetition_penalty=1.2,
return_full_text=True,
stop_sequences=["test"],
temperature=0.5,
top_p=0.9,
top_k=10,
truncate=5,
typical_p=0.9,
watermark=True,
decoder_input_details=True,
seed=0,
)
assert response.details.generated_tokens == 10
assert response == response_snapshot
# @pytest.mark.release
@pytest.mark.asyncio
async def test_bloom_560m_load(bloom_560, generate_load, response_snapshot):
responses = await generate_load(
bloom_560,
"Pour déguster un ortolan, il faut tout d'abord",
max_new_tokens=10,
n=4,
)
assert len(responses) == 4
assert all([r.generated_text == responses[0].generated_text for r in responses])
assert responses == response_snapshot