mirror of
https://github.com/huggingface/text-generation-inference.git
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85 lines
2.5 KiB
Python
85 lines
2.5 KiB
Python
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import pytest
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import json
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import requests
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@pytest.fixture(scope="module")
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def qwen2_vl_handle(launcher):
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with launcher(
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"Qwen/Qwen2-VL-7B-Instruct",
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max_input_length=10_000,
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max_batch_prefill_tokens=10_000,
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max_total_tokens=10_001,
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cuda_graphs=[0],
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) as handle:
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yield handle
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@pytest.fixture(scope="module")
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async def qwen2_vl(qwen2_vl_handle):
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await qwen2_vl_handle.health(300)
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return qwen2_vl_handle.client
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@pytest.mark.asyncio
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async def test_qwen2_vl_simpl(qwen2_vl, response_snapshot):
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responses = requests.post(
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f"{qwen2_vl.base_url}/v1/chat/completions",
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headers=qwen2_vl.headers,
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json={
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"model": "tgi",
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"messages": [
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{
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"role": "user",
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"content": [
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{
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"type": "video_url",
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"video_url": {
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"url": "https://test-videos.co.uk/vids/bigbuckbunny/mp4/h264/360/Big_Buck_Bunny_360_10s_1MB.mp4"
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},
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},
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{
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"type": "text",
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"text": "Describe this video.",
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},
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],
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},
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],
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"seed": 42,
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"max_tokens": 100,
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"stream": True,
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},
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)
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# iterate over the response in chunks
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count = 0
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full_text = ""
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last_response = None
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for chunk in responses.iter_content(chunk_size=1024):
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if chunk:
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count += 1
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# remove the "data: " prefix, trailing newline, and split the chunk into individual lines
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lines = chunk.decode("utf-8").replace("data: ", "").rstrip("\n").split("\n")
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for line in lines:
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if line == "[DONE]":
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break
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print("=", line)
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try:
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response = json.loads(line)
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# print(response)
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last_response = response
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full_text += response["choices"][0]["delta"]["content"]
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except json.JSONDecodeError:
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pass
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# assert count == 27
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# assert response.usage == {
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# "completion_tokens": 10,
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# "prompt_tokens": 50,
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# "total_tokens": 60,
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# }
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# assert (
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# response.choices[0].message.content
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# == "In a bustling city, a chicken named Cluck"
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# )
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assert last_response == response_snapshot
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