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* add collect-env * del files
103 lines
3.1 KiB
Python
103 lines
3.1 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 argparse
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import unittest
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from unittest.mock import MagicMock, patch
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import numpy as np
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from fastdeploy.benchmarks.latency import add_cli_args, main
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class TestLatency(unittest.TestCase):
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def test_add_cli_args(self):
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parser = argparse.ArgumentParser()
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add_cli_args(parser)
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args = parser.parse_args([])
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self.assertEqual(args.input_len, 32)
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self.assertEqual(args.output_len, 128)
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self.assertEqual(args.batch_size, 8)
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@patch("fastdeploy.LLM")
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@patch("numpy.random.randint")
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@patch("tqdm.tqdm")
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def test_main(self, mock_tqdm, mock_randint, mock_llm):
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# Setup mocks
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mock_llm_instance = MagicMock()
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mock_llm.return_value = mock_llm_instance
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mock_cfg = MagicMock()
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mock_cfg.model_config.max_model_len = 2048
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mock_llm_instance.llm_engine.cfg = mock_cfg
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mock_randint.return_value = np.zeros((8, 32))
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mock_tqdm.return_value = range(10)
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# Build args using parser
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parser = argparse.ArgumentParser()
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add_cli_args(parser)
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args = parser.parse_args([])
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# Set required args
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args.input_len = 32
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args.output_len = 128
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args.batch_size = 8
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args.n = 1
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args.num_iters_warmup = 2
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args.num_iters = 3
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args.model = "test_model"
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args.served_model_name = "test_model"
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args.tokenizer = "test_tokenizer"
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# Run test
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main(args)
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# Verify calls
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mock_llm.assert_called_once()
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mock_llm_instance.generate.assert_called()
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@patch("fastdeploy.LLM")
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@patch("sys.exit")
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def test_main_profile_error(self, mock_exit, mock_llm):
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# Setup mocks
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mock_llm_instance = MagicMock()
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mock_llm.return_value = mock_llm_instance
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mock_cfg = MagicMock()
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mock_cfg.model_config.max_model_len = 2048
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mock_llm_instance.llm_engine.cfg = mock_cfg
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# Build args using parser
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parser = argparse.ArgumentParser()
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add_cli_args(parser)
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args = parser.parse_args([])
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# Set required args
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args.input_len = 32
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args.output_len = 128
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args.batch_size = 8
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args.n = 1
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args.num_iters_warmup = 2
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args.num_iters = 3
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args.profile = False
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args.model = "test_model"
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args.served_model_name = "test_model"
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args.tokenizer = "test_tokenizer"
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main(args)
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mock_exit.assert_not_called() # Since profile=False, exit should not be called
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if __name__ == "__main__":
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unittest.main()
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