89 lines
2.6 KiB
Python
89 lines
2.6 KiB
Python
import pytest
|
|
import base64
|
|
|
|
from testing_utils import SYSTEM
|
|
|
|
|
|
# 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.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: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.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.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: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])
|
|
|
|
if SYSTEM != "rocm":
|
|
# Logprobs are not strictly identical on AMD GPUs.
|
|
assert responses == response_snapshot
|