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38 lines
1.3 KiB
38 lines
1.3 KiB
# Copyright (c) 2022 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 paddlers |
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from rs_models.test_model import TestModel |
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__all__ = [] |
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class TestCDModel(TestModel): |
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DEFAULT_HW = (224, 224) |
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def check_output(self, output, target): |
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# target is the expected shape of the output |
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self.check_output_equal(output.numpy().shape, target) |
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def set_inputs(self): |
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def _gen_data(specs): |
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for spec in specs: |
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c = spec.get('in_channels', 3) |
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yield [self.get_randn_tensor(c)] |
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self.inputs = _gen_data(self.specs) |
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def set_targets(self): |
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self.targets = [[self.DEFAULT_BATCH_SIZE, spec.get('num_classes', 2)] |
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for spec in self.specs]
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