phoenix-oss/llama-stack-mirror
0
0
Fork 1
mirror of https://github.com/meta-llama/llama-stack.git synced 2025-06-28 19:04:19 +00:00
Code Issues Projects Releases Packages Wiki Activity Actions

remote::vllm now works with vision models

Browse source
This commit is contained in:
Ashwin Bharambe 2024-11-06 16:07:17 -08:00
parent 994732e2e0
commit 3b54ce3499
3 changed files with 76 additions and 40 deletions
Download patch file Download diff file Expand all files Collapse all files

68
llama_stack/providers/tests/inference/test_vision_inference.py
View file

@ -20,8 +20,25 @@ THIS_DIR = Path(__file__).parent
class TestVisionModelInference:
@pytest.mark.asyncio
@pytest.mark.parametrize(
"image, expected_strings",
[
(
ImageMedia(image=PIL_Image.open(THIS_DIR / "pasta.jpeg")),
["spaghetti"],
),
(
ImageMedia(
image=URL(
uri="https://www.healthypawspetinsurance.com/Images/V3/DogAndPuppyInsurance/Dog_CTA_Desktop_HeroImage.jpg"
)
),
["puppy"],
),
],
)
async def test_vision_chat_completion_non_streaming(
self, inference_model, inference_stack
self, inference_model, inference_stack, image, expected_strings
):
inference_impl, _ = inference_stack
@ -31,42 +48,27 @@ class TestVisionModelInference:
"remote::together",
"remote::fireworks",
"remote::ollama",
"remote::vllm",
):
pytest.skip(
"Other inference providers don't support vision chat completion() yet"
)
images = [
ImageMedia(image=PIL_Image.open(THIS_DIR / "pasta.jpeg")),
ImageMedia(
image=URL(
uri="https://www.healthypawspetinsurance.com/Images/V3/DogAndPuppyInsurance/Dog_CTA_Desktop_HeroImage.jpg"
)
),
]
response = await inference_impl.chat_completion(
model=inference_model,
messages=[
UserMessage(content="You are a helpful assistant."),
UserMessage(content=[image, "Describe this image in two sentences."]),
],
stream=False,
sampling_params=SamplingParams(max_tokens=100),
)
# These are a bit hit-and-miss, need to be careful
expected_strings_to_check = [
["spaghetti"],
["puppy"],
]
for image, expected_strings in zip(images, expected_strings_to_check):
response = await inference_impl.chat_completion(
model=inference_model,
messages=[
SystemMessage(content="You are a helpful assistant."),
UserMessage(
content=[image, "Describe this image in two sentences."]
),
],
stream=False,
)
assert isinstance(response, ChatCompletionResponse)
assert response.completion_message.role == "assistant"
assert isinstance(response.completion_message.content, str)
for expected_string in expected_strings:
assert expected_string in response.completion_message.content
assert isinstance(response, ChatCompletionResponse)
assert response.completion_message.role == "assistant"
assert isinstance(response.completion_message.content, str)
for expected_string in expected_strings:
assert expected_string in response.completion_message.content
@pytest.mark.asyncio
async def test_vision_chat_completion_streaming(
@ -80,6 +82,7 @@ class TestVisionModelInference:
"remote::together",
"remote::fireworks",
"remote::ollama",
"remote::vllm",
):
pytest.skip(
"Other inference providers don't support vision chat completion() yet"
@ -101,12 +104,13 @@ class TestVisionModelInference:
async for r in await inference_impl.chat_completion(
model=inference_model,
messages=[
SystemMessage(content="You are a helpful assistant."),
UserMessage(content="You are a helpful assistant."),
UserMessage(
content=[image, "Describe this image in two sentences."]
),
],
stream=True,
sampling_params=SamplingParams(max_tokens=100),
)
]