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

88 lines
2.5 KiB
Python

import pytest
import base64
# TODO fix the server parsser to count inline image tokens correctly
def get_chicken():
with open("integration-tests/images/chicken_on_money.png", "rb") as image_file:
encoded_string = base64.b64encode(image_file.read())
return f"data:image/png;base64,{encoded_string.decode('utf-8')}"
@pytest.fixture(scope="module")
def flash_llava_next_handle(launcher):
with launcher(
"llava-hf/llava-v1.6-mistral-7b-hf",
num_shard=4,
max_input_length=4000,
max_total_tokens=4096,
) as handle:
yield handle
@pytest.fixture(scope="module")
async def flash_llava_next(flash_llava_next_handle):
await flash_llava_next_handle.health(300)
return flash_llava_next_handle.client
@pytest.mark.release
@pytest.mark.asyncio
@pytest.mark.private
async def test_flash_llava_next_simple(flash_llava_next, response_snapshot):
chicken = get_chicken()
response = await flash_llava_next.generate(
f"User:![]({chicken})Can you tell me a very short story based on the image?",
max_new_tokens=10,
)
assert (
response.generated_text == "\n\nOnce upon a time, there was a"
), f"{repr(response.generated_text)}"
assert response.details.generated_tokens == 10
assert response == response_snapshot
@pytest.mark.release
@pytest.mark.asyncio
@pytest.mark.private
async def test_flash_llava_next_all_params(flash_llava_next, response_snapshot):
response = await flash_llava_next.generate(
"Test request",
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 == 6
assert response == response_snapshot
@pytest.mark.release
@pytest.mark.asyncio
@pytest.mark.private
async def test_flash_llava_next_load(
flash_llava_next, generate_load, response_snapshot
):
chicken = get_chicken()
responses = await generate_load(
flash_llava_next,
f"User:![]({chicken})Can you tell me a very short story based on the image?",
max_new_tokens=10,
n=4,
)
generated_texts = [r.generated_text for r in responses]
assert generated_texts[0] == "\n\nOnce upon a time, there was a"
assert len(generated_texts) == 4
assert all([r.generated_text == generated_texts[0] for r in responses])
assert responses == response_snapshot