mirror of
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64 lines
2.0 KiB
Python
64 lines
2.0 KiB
Python
"""
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# Copyright (c) 2025 PaddlePaddle Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License"
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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"""
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import os
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import unittest
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import weakref
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from fastdeploy.entrypoints.llm import LLM
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MODEL_NAME = os.getenv("MODEL_PATH") + "/ERNIE-4.5-0.3B-Paddle"
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class TestChat(unittest.TestCase):
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"""Test case for chat functionality"""
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PROMPTS = [
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[{"content": "The color of tomato is ", "role": "user"}],
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[{"content": "The equation 2+3= ", "role": "user"}],
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[{"content": "The equation 4-1= ", "role": "user"}],
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[{"content": "PaddlePaddle is ", "role": "user"}],
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]
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@classmethod
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def setUpClass(cls):
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try:
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llm = LLM(
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model=MODEL_NAME,
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max_num_batched_tokens=4096,
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tensor_parallel_size=1,
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engine_worker_queue_port=int(os.getenv("FD_ENGINE_QUEUE_PORT")),
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cache_queue_port=int(os.getenv("FD_CACHE_QUEUE_PORT")),
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)
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cls.llm = weakref.proxy(llm)
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except Exception as e:
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print(f"Setting up LLM failed: {e}")
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raise unittest.SkipTest(f"LLM initialization failed: {e}")
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@classmethod
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def tearDownClass(cls):
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"""Clean up after all tests have run"""
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if hasattr(cls, "llm"):
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del cls.llm
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def test_chat(self):
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outputs = self.llm.chat(messages=self.PROMPTS, sampling_params=None)
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self.assertEqual(len(self.PROMPTS), len(outputs))
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if __name__ == "__main__":
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unittest.main()
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