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82 lines
2.7 KiB
Python
82 lines
2.7 KiB
Python
# SPDX-License-Identifier: Apache-2.0
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# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
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import openai
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import pytest
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from vllm.multimodal.utils import encode_image_base64
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from vllm.platforms import current_platform
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from ...entrypoints.openai.test_vision import TEST_IMAGE_ASSETS
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from ...utils import RemoteOpenAIServer
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@pytest.fixture(scope="session")
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def base64_encoded_image(local_asset_server) -> dict[str, str]:
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return {
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image_asset: encode_image_base64(
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local_asset_server.get_image_asset(image_asset)
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)
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for image_asset in TEST_IMAGE_ASSETS
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}
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@pytest.mark.asyncio
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@pytest.mark.skipif(not current_platform.is_tpu(), reason="This test needs a TPU")
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@pytest.mark.parametrize("model_name", ["llava-hf/llava-1.5-7b-hf"])
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async def test_basic_vision(model_name: str, base64_encoded_image: dict[str, str]):
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pytest.skip("Skip this test until it's fixed.")
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def whats_in_this_image_msg(b64):
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return [
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{
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"role": "user",
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"content": [
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{"type": "text", "text": "What's in this image?"},
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{
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"type": "image_url",
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"image_url": {"url": f"data:image/jpeg;base64,{b64}"},
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},
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],
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}
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]
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server_args = [
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"--max-model-len",
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"1024",
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"--max-num-seqs",
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"16",
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"--gpu-memory-utilization",
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"0.95",
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"--trust-remote-code",
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"--max-num-batched-tokens",
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"576",
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# NOTE: max-num-batched-tokens>=mm_item_size
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"--disable_chunked_mm_input",
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]
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# Server will pre-compile on first startup (takes a long time).
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with RemoteOpenAIServer(
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model_name, server_args, max_wait_seconds=600
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) as remote_server:
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client: openai.AsyncOpenAI = remote_server.get_async_client()
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# Other requests now should be much faster
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for image_url in TEST_IMAGE_ASSETS:
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image_base64 = base64_encoded_image[image_url]
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chat_completion_from_base64 = await client.chat.completions.create(
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model=model_name,
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messages=whats_in_this_image_msg(image_base64),
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max_completion_tokens=24,
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temperature=0.0,
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)
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result = chat_completion_from_base64
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assert result
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choice = result.choices[0]
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assert choice.finish_reason == "length"
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message = choice.message
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message = result.choices[0].message
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assert message.content is not None and len(message.content) >= 10
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assert message.role == "assistant"
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