wehub-resource-sync
76 lines
2.4 KiB
Python
76 lines
2.4 KiB
Python
# Copyright (c) 2020 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 os
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import shutil
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import tempfile
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import unittest
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import numpy as np
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import paddle
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from paddle.static import InputSpec
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from paddle.vision import models
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# test the predicted results of static graph and dynamic graph are equal
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# when used pretrained model
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class TestPretrainedModel(unittest.TestCase):
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def infer(self, arch):
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path = os.path.join(tempfile.mkdtemp(), '.cache_test_pretrained_model')
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if not os.path.exists(path):
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os.makedirs(path)
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x = np.array(np.random.random((2, 3, 224, 224)), dtype=np.float32)
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res = {}
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for dygraph in [True, False]:
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if not dygraph:
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paddle.enable_static()
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net = models.__dict__[arch](pretrained=True)
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inputs = [InputSpec([None, 3, 224, 224], 'float32', 'image')]
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model = paddle.Model(network=net, inputs=inputs)
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model.prepare()
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if dygraph:
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model.save(path)
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res['dygraph'] = model.predict_batch(x)
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else:
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model.load(path)
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res['static'] = model.predict_batch(x)
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if not dygraph:
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paddle.disable_static()
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shutil.rmtree(path)
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np.testing.assert_allclose(res['dygraph'], res['static'])
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def test_models(self):
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# TODO (LielinJiang): when model file cache is ok. add following test back
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# 'resnet18', 'vgg16', 'alexnet', 'resnext50_32x4d', 'inception_v3',
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# 'densenet121', 'googlenet', 'wide_resnet50_2', 'wide_resnet101_2'
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arches = [
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'mobilenet_v1',
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'mobilenet_v2',
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'mobilenet_v3_small',
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'mobilenet_v3_large',
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'squeezenet1_0',
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'shufflenet_v2_x0_25',
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]
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for arch in arches:
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self.infer(arch)
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if __name__ == '__main__':
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unittest.main()
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