109 lines
3.4 KiB
Python
109 lines
3.4 KiB
Python
import json
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import unittest
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import requests
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from sglang.srt.utils import kill_child_process
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from sglang.test.test_utils import (
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DEFAULT_SMALL_MODEL_NAME_FOR_TEST,
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DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
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DEFAULT_URL_FOR_TEST,
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popen_launch_server,
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)
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class TestUpdateWeights(unittest.TestCase):
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@classmethod
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def setUpClass(cls):
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cls.model = DEFAULT_SMALL_MODEL_NAME_FOR_TEST
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cls.base_url = DEFAULT_URL_FOR_TEST
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cls.process = popen_launch_server(
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cls.model, cls.base_url, timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH
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)
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@classmethod
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def tearDownClass(cls):
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kill_child_process(cls.process.pid, include_self=True)
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def run_decode(self):
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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": "The capital of France is",
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"sampling_params": {
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"temperature": 0,
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"max_new_tokens": 32,
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},
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},
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)
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print(json.dumps(response.json()))
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print("=" * 100)
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text = response.json()["text"]
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return text
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def get_model_info(self):
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response = requests.get(self.base_url + "/get_model_info")
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model_path = response.json()["model_path"]
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print(json.dumps(response.json()))
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return model_path
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def run_update_weights(self, model_path):
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response = requests.post(
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self.base_url + "/update_weights",
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json={
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"model_path": model_path,
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},
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)
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ret = response.json()
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print(json.dumps(response.json()))
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return ret
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def test_update_weights(self):
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origin_model_path = self.get_model_info()
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print(f"origin_model_path: {origin_model_path}")
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origin_response = self.run_decode()
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# update weights
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new_model_path = DEFAULT_SMALL_MODEL_NAME_FOR_TEST.replace("-Instruct", "")
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ret = self.run_update_weights(new_model_path)
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assert ret["success"]
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updated_model_path = self.get_model_info()
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print(f"updated_model_path: {updated_model_path}")
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assert updated_model_path == new_model_path
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assert updated_model_path != origin_model_path
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updated_response = self.run_decode()
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assert origin_response[:32] != updated_response[:32]
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# update weights back
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ret = self.run_update_weights(origin_model_path)
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assert ret["success"]
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updated_model_path = self.get_model_info()
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assert updated_model_path == origin_model_path
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updated_response = self.run_decode()
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assert origin_response[:32] == updated_response[:32]
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def test_update_weights_unexist_model(self):
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origin_model_path = self.get_model_info()
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print(f"origin_model_path: {origin_model_path}")
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origin_response = self.run_decode()
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# update weights
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new_model_path = DEFAULT_SMALL_MODEL_NAME_FOR_TEST.replace("-Instruct", "wrong")
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ret = self.run_update_weights(new_model_path)
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assert not ret["success"]
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updated_model_path = self.get_model_info()
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print(f"updated_model_path: {updated_model_path}")
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assert updated_model_path == origin_model_path
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updated_response = self.run_decode()
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assert origin_response[:32] == updated_response[:32]
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if __name__ == "__main__":
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unittest.main()
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