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

86 lines
2.6 KiB
Python

import pytest
import base64
@pytest.fixture(scope="module")
def idefics_handle(launcher):
with launcher(
"HuggingFaceM4/idefics-9b-instruct", num_shard=2, dtype="float16"
) as handle:
yield handle
@pytest.fixture(scope="module")
async def idefics(idefics_handle):
await idefics_handle.health()
return idefics_handle.client
# 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')}"
def get_cow_beach():
with open("integration-tests/images/cow_beach.png", "rb") as image_file:
encoded_string = base64.b64encode(image_file.read())
return f"data:image/png;base64,{encoded_string.decode('utf-8')}"
@pytest.mark.asyncio
async def test_idefics(idefics, response_snapshot):
chicken = get_chicken()
response = await idefics.generate(
f"User:![]({chicken})Can you tell me a very short story based on the image?",
max_new_tokens=10,
decoder_input_details=True,
)
assert response.details.generated_tokens == 10
assert (
response.generated_text == " \nAssistant: A rooster stands"
), f"{repr(response.generated_text)}"
assert response == response_snapshot
@pytest.mark.release
@pytest.mark.asyncio
@pytest.mark.private
async def test_idefics_two_images(idefics, response_snapshot):
chicken = get_chicken()
cow_beach = get_cow_beach()
response = await idefics.generate(
f"User:![]({chicken})![]({cow_beach})Where are the cow and chicken?<end_of_utterance> \nAssistant:",
max_new_tokens=20,
)
assert (
response.generated_text == " The cow and chicken are on a beach."
), f"{repr(response.generated_text)}"
assert response == response_snapshot
@pytest.mark.release
@pytest.mark.asyncio
async def test_idefics_load(idefics, generate_load, response_snapshot):
chicken = get_chicken()
responses = await generate_load(
idefics,
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] == " \nAssistant: A rooster stands"
), f"{response.generated_text}"
assert len(generated_texts) == 4
assert generated_texts, all(
[text == generated_texts[0] for text in generated_texts]
)
assert responses == response_snapshot