45 lines
1.1 KiB
Python
45 lines
1.1 KiB
Python
|
import pytest
|
||
|
|
||
|
|
||
|
@pytest.fixture(scope="module")
|
||
|
def flash_gpt2_handle(launcher):
|
||
|
with launcher("openai-community/gpt2", num_shard=2) as handle:
|
||
|
yield handle
|
||
|
|
||
|
|
||
|
@pytest.fixture(scope="module")
|
||
|
async def flash_gpt2(flash_gpt2_handle):
|
||
|
await flash_gpt2_handle.health(300)
|
||
|
return flash_gpt2_handle.client
|
||
|
|
||
|
|
||
|
@pytest.mark.asyncio
|
||
|
async def test_flash_gpt2(flash_gpt2, response_snapshot):
|
||
|
response = await flash_gpt2.generate(
|
||
|
"What is deep learning?",
|
||
|
max_new_tokens=10,
|
||
|
decoder_input_details=True,
|
||
|
)
|
||
|
|
||
|
assert response.details.generated_tokens == 10
|
||
|
assert response == response_snapshot
|
||
|
|
||
|
|
||
|
@pytest.mark.asyncio
|
||
|
async def test_flash_gpt2_load(flash_gpt2, generate_load, response_snapshot):
|
||
|
responses = await generate_load(
|
||
|
flash_gpt2,
|
||
|
"What is deep learning?",
|
||
|
max_new_tokens=10,
|
||
|
n=4,
|
||
|
)
|
||
|
|
||
|
generated_texts = [r.generated_text for r in responses]
|
||
|
|
||
|
assert len(generated_texts) == 4
|
||
|
assert all(
|
||
|
[text == generated_texts[0] for text in generated_texts]
|
||
|
), generated_texts
|
||
|
|
||
|
assert responses == response_snapshot
|