mirror of
https://github.com/PaddlePaddle/FastDeploy.git
synced 2026-04-23 00:17:25 +08:00
Yonghua Li
98f3fc9267
* [test] add a few unit tests * [feat] update key prefix when model weights are updated * [test] try to fix test_worker_process
100 lines
3.5 KiB
Python
100 lines
3.5 KiB
Python
# 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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import unittest
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from unittest.mock import Mock
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from fastdeploy.config import FDConfig
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from fastdeploy.worker.gpu_worker import GpuWorker
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class TestGpuWorkerSleepWakeup(unittest.TestCase):
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"""Test cases for GpuWorker sleep and wakeup methods - Coverage for lines 201, 205"""
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def setUp(self):
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"""Set up test fixtures"""
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self.mock_fd_config = Mock(spec=FDConfig)
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self.mock_fd_config.parallel_config = Mock()
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self.mock_fd_config.parallel_config.tensor_parallel_size = 1
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def test_sleep_delegates_to_model_runner(self):
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"""Test sleep method delegates to model_runner (line 201)"""
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worker = GpuWorker.__new__(GpuWorker)
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worker.model_runner = Mock()
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# Call sleep
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worker.sleep(tags="weight")
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# Verify model_runner.sleep was called
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worker.model_runner.sleep.assert_called_once_with(tags="weight")
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def test_sleep_with_multiple_tags(self):
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"""Test sleep with multiple tags"""
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worker = GpuWorker.__new__(GpuWorker)
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worker.model_runner = Mock()
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# Call sleep with multiple tags
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worker.sleep(tags="weight,kv_cache")
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# Verify model_runner.sleep was called with correct tags
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worker.model_runner.sleep.assert_called_once_with(tags="weight,kv_cache")
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def test_sleep_with_kwargs(self):
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"""Test sleep passes kwargs to model_runner"""
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worker = GpuWorker.__new__(GpuWorker)
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worker.model_runner = Mock()
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# Call sleep with kwargs
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worker.sleep(tags="weight", force=True, timeout=100)
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# Verify model_runner.sleep was called with kwargs
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worker.model_runner.sleep.assert_called_once_with(tags="weight", force=True, timeout=100)
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def test_wakeup_delegates_to_model_runner(self):
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"""Test wakeup method delegates to model_runner (line 205)"""
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worker = GpuWorker.__new__(GpuWorker)
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worker.model_runner = Mock()
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# Call wakeup
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worker.wakeup(tags="weight")
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# Verify model_runner.wakeup was called
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worker.model_runner.wakeup.assert_called_once_with(tags="weight")
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def test_wakeup_with_multiple_tags(self):
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"""Test wakeup with multiple tags"""
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worker = GpuWorker.__new__(GpuWorker)
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worker.model_runner = Mock()
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# Call wakeup with multiple tags
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worker.wakeup(tags="weight,kv_cache")
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# Verify model_runner.wakeup was called with correct tags
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worker.model_runner.wakeup.assert_called_once_with(tags="weight,kv_cache")
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def test_wakeup_with_kwargs(self):
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"""Test wakeup passes kwargs to model_runner"""
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worker = GpuWorker.__new__(GpuWorker)
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worker.model_runner = Mock()
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# Call wakeup with kwargs
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worker.wakeup(tags="kv_cache", async_load=True)
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# Verify model_runner.wakeup was called with kwargs
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worker.model_runner.wakeup.assert_called_once_with(tags="kv_cache", async_load=True)
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if __name__ == "__main__":
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unittest.main()
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