122 lines
3.4 KiB
Python
122 lines
3.4 KiB
Python
"""
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python3 -m unittest test_deepseek_ocr.py
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"""
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import json
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import os
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import unittest
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import requests
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from transformers import AutoTokenizer
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from sglang.srt.utils import kill_process_tree
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from sglang.test.test_utils import (
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DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
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DEFAULT_URL_FOR_TEST,
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CustomTestCase,
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popen_launch_server,
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)
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class TestDeepSeekOCR(CustomTestCase):
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@classmethod
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def setUpClass(cls):
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cls.model = "deepseek-ai/DeepSeek-OCR"
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cls.tokenizer = AutoTokenizer.from_pretrained(cls.model, use_fast=False)
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cls.base_url = DEFAULT_URL_FOR_TEST
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cls.common_args = [
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"--device",
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"xpu",
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"--attention-backend",
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"intel_xpu",
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]
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os.environ["SGLANG_USE_SGL_XPU"] = "1"
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cls.process = popen_launch_server(
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cls.model,
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cls.base_url,
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timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
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other_args=[
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*cls.common_args,
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],
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)
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@classmethod
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def tearDownClass(cls):
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"""Fixture that is run once after all tests in the class."""
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kill_process_tree(cls.process.pid)
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def get_request_json(self, max_new_tokens=32, n=1):
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response = requests.post(
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self.base_url + "/generate",
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json={
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"text": "<image>\n<|grounding|>Convert the document to pure text.",
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"image_data": "../../examples/assets/example_image.png",
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"sampling_params": {
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"temperature": 0 if n == 1 else 0.5,
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"max_new_tokens": max_new_tokens,
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},
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},
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)
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return response.json()
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def run_decode(
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self,
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max_new_tokens=128,
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n=1,
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):
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ret = self.get_request_json(max_new_tokens=max_new_tokens, n=n)
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print(json.dumps(ret, indent=2))
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def assert_one_item(item):
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if item["meta_info"]["finish_reason"]["type"] == "stop":
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self.assertEqual(
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item["meta_info"]["finish_reason"]["matched"],
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self.tokenizer.eos_token_id,
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)
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elif item["meta_info"]["finish_reason"]["type"] == "length":
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self.assertEqual(
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len(item["output_ids"]), item["meta_info"]["completion_tokens"]
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)
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self.assertEqual(len(item["output_ids"]), max_new_tokens)
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# Determine whether to assert a single item or multiple items based on n
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if n == 1:
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assert_one_item(ret)
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else:
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self.assertEqual(len(ret), n)
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for i in range(n):
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assert_one_item(ret[i])
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print("=" * 100)
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def test_moe(self):
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self.run_decode()
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class TestDeepSeekOCRTriton(TestDeepSeekOCR):
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@classmethod
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def setUpClass(cls):
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cls.model = "deepseek-ai/DeepSeek-OCR"
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cls.tokenizer = AutoTokenizer.from_pretrained(cls.model, use_fast=False)
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cls.base_url = DEFAULT_URL_FOR_TEST
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cls.common_args = [
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"--device",
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"xpu",
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"--attention-backend",
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"intel_xpu",
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]
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os.environ["SGLANG_USE_SGL_XPU"] = "0"
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cls.process = popen_launch_server(
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cls.model,
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cls.base_url,
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timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
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other_args=[
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*cls.common_args,
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],
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)
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if __name__ == "__main__":
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unittest.main()
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