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- # Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
- #
- # Licensed under the Apache License, Version 2.0 (the "License");
- # you may not use this file except in compliance with the License.
- # You may obtain a copy of the License at
- #
- # http://www.apache.org/licenses/LICENSE-2.0
- #
- # Unless required by applicable law or agreed to in writing, software
- # distributed under the License is distributed on an "AS IS" BASIS,
- # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- # See the License for the specific language governing permissions and
- # limitations under the License.
- import paddlers
- from rs_models.test_model import TestModel
- class TestCDModel(TestModel):
- DEFAULT_HW = (224, 224)
- def check_output(self, output, target):
- # target is the expected shape of the output
- self.check_output_equal(output.numpy().shape, target)
- def set_inputs(self):
- def _gen_data(specs):
- for spec in specs:
- c = spec.get('in_channels', 3)
- yield [self.get_randn_tensor(c)]
- self.inputs = _gen_data(self.specs)
- def set_targets(self):
- self.targets = [[2, spec.get('num_classes', 2)] for spec in self.specs]
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