wehub-resource-sync
58 lines
2.2 KiB
Python
58 lines
2.2 KiB
Python
# Copyright (c) 2026 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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# [AUTO-GENERATED] Test file for paddle.nn.quant modules
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# 覆盖模块: paddle/nn/quant/quant_layers.py, paddle/nn/quant/quantized_linear.py
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# 未覆盖行: quant_layers: 118,141-169,245,276,279,284,285,292,294-298,300,307,344,364,368,375,387,390; quantized_linear: 54,59,119,120,121,122,124,130,172-177,186,262,265-269,274-276,282,284,290,331-339,344-346,348,350,356,386,387
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# Covered module: paddle/nn/quant/quant_layers.py, paddle/nn/quant/quantized_linear.py
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# Uncovered lines: quant_layers: 118-390; quantized_linear: 54-387
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import unittest
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class TestQuantLayersImport(unittest.TestCase):
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"""测试 quant_layers 模块导入
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Test quant_layers module import"""
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def test_quant_layers_importable(self):
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"""测试 quant_layers 模块可导入
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Test quant_layers module is importable"""
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from paddle.nn.quant import quant_layers
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self.assertIsNotNone(quant_layers)
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def test_quantized_linear_module_importable(self):
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"""测试 quantized_linear 模块可导入
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Test quantized_linear module is importable"""
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from paddle.nn.quant import quantized_linear
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self.assertIsNotNone(quantized_linear)
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class TestQuantizationAwareTraining(unittest.TestCase):
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"""测试量化感知训练相关
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Test quantization aware training related"""
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def test_quant_config(self):
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"""测试量化配置
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Test quantization config"""
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# Verify basic quantization module structure exists
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from paddle.nn.quant import quant_layers
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self.assertTrue(hasattr(quant_layers, 'QuantizedLinear'))
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if __name__ == '__main__':
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unittest.main()
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