e489ad7a21
- **Add SPDX license headers to python source files**
- **Check for SPDX headers using pre-commit**
commit 9d7ef44c3cfb72ca4c32e1c677d99259d10d4745
Author: Russell Bryant <rbryant@redhat.com>
Date: Fri Jan 31 14:18:24 2025 -0500
Add SPDX license headers to python source files
This commit adds SPDX license headers to python source files as
recommended to
the project by the Linux Foundation. These headers provide a concise way
that is
both human and machine readable for communicating license information
for each
source file. It helps avoid any ambiguity about the license of the code
and can
also be easily used by tools to help manage license compliance.
The Linux Foundation runs license scans against the codebase to help
ensure
we are in compliance with the licenses of the code we use, including
dependencies. Having these headers in place helps that tool do its job.
More information can be found on the SPDX site:
- https://spdx.dev/learn/handling-license-info/
Signed-off-by: Russell Bryant <rbryant@redhat.com>
commit 5a1cf1cb3b80759131c73f6a9dddebccac039dea
Author: Russell Bryant <rbryant@redhat.com>
Date: Fri Jan 31 14:36:32 2025 -0500
Check for SPDX headers using pre-commit
Signed-off-by: Russell Bryant <rbryant@redhat.com>
---------
Signed-off-by: Russell Bryant <rbryant@redhat.com>
98 lines
2.8 KiB
Python
98 lines
2.8 KiB
Python
# SPDX-License-Identifier: Apache-2.0
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from typing import Dict
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import pytest
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import requests
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from vllm.entrypoints.openai.protocol import EmbeddingResponse
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from vllm.multimodal.utils import encode_image_base64, fetch_image
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from ...utils import VLLM_PATH, RemoteOpenAIServer
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MODEL_NAME = "TIGER-Lab/VLM2Vec-Full"
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MAXIMUM_IMAGES = 2
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vlm2vec_jinja_path = VLLM_PATH / "examples/template_vlm2vec.jinja"
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assert vlm2vec_jinja_path.exists()
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# Test different image extensions (JPG/PNG) and formats (gray/RGB/RGBA)
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TEST_IMAGE_URLS = [
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"https://upload.wikimedia.org/wikipedia/commons/thumb/d/dd/Gfp-wisconsin-madison-the-nature-boardwalk.jpg/2560px-Gfp-wisconsin-madison-the-nature-boardwalk.jpg",
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"https://upload.wikimedia.org/wikipedia/commons/f/fa/Grayscale_8bits_palette_sample_image.png",
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"https://upload.wikimedia.org/wikipedia/commons/thumb/9/91/Venn_diagram_rgb.svg/1280px-Venn_diagram_rgb.svg.png",
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"https://upload.wikimedia.org/wikipedia/commons/0/0b/RGBA_comp.png",
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]
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@pytest.fixture(scope="module")
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def server():
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args = [
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"--task",
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"embed",
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"--dtype",
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"bfloat16",
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"--max-model-len",
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"2048",
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"--max-num-seqs",
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"5",
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"--enforce-eager",
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"--trust-remote-code",
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"--limit-mm-per-prompt",
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f"image={MAXIMUM_IMAGES}",
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"--chat-template",
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str(vlm2vec_jinja_path),
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]
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with RemoteOpenAIServer(MODEL_NAME, args) as remote_server:
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yield remote_server
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@pytest.fixture(scope="session")
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def base64_encoded_image() -> Dict[str, str]:
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return {
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image_url: encode_image_base64(fetch_image(image_url))
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for image_url in TEST_IMAGE_URLS
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}
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@pytest.mark.asyncio
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@pytest.mark.parametrize("model_name", [MODEL_NAME])
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@pytest.mark.parametrize("image_url", TEST_IMAGE_URLS)
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async def test_image_embedding(server: RemoteOpenAIServer, model_name: str,
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image_url: str):
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messages = [{
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"role":
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"user",
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"content": [
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{
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"type": "image_url",
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"image_url": {
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"url": image_url
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}
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},
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{
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"type": "text",
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"text": "Represent the given image."
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},
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],
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}]
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response = requests.post(
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server.url_for("v1/embeddings"),
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json={
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"model": model_name,
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"messages": messages,
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"encoding_format": "float"
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},
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)
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response.raise_for_status()
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embeddings = EmbeddingResponse.model_validate(response.json())
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assert embeddings.id is not None
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assert len(embeddings.data) == 1
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assert len(embeddings.data[0].embedding) == 3072
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assert embeddings.usage.completion_tokens == 0
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assert embeddings.usage.prompt_tokens == 764
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assert embeddings.usage.total_tokens == 764
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