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125 lines
4.2 KiB
125 lines
4.2 KiB
# 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 unittest
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import numpy as np
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from paddle.vision.datasets import *
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class TestCifar10Train(unittest.TestCase):
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def test_main(self):
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cifar = Cifar10(mode='train')
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self.assertTrue(len(cifar) == 50000)
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# traversal whole dataset may cost a
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# long time, randomly check 1 sample
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idx = np.random.randint(0, 50000)
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data, label = cifar[idx]
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data = np.array(data)
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self.assertTrue(len(data.shape) == 3)
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self.assertTrue(data.shape[2] == 3)
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self.assertTrue(data.shape[1] == 32)
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self.assertTrue(data.shape[0] == 32)
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self.assertTrue(0 <= int(label) <= 9)
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class TestCifar10Test(unittest.TestCase):
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def test_main(self):
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cifar = Cifar10(mode='test')
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self.assertTrue(len(cifar) == 10000)
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# traversal whole dataset may cost a
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# long time, randomly check 1 sample
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idx = np.random.randint(0, 10000)
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data, label = cifar[idx]
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data = np.array(data)
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self.assertTrue(len(data.shape) == 3)
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self.assertTrue(data.shape[2] == 3)
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self.assertTrue(data.shape[1] == 32)
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self.assertTrue(data.shape[0] == 32)
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self.assertTrue(0 <= int(label) <= 9)
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# test cv2 backend
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cifar = Cifar10(mode='test', backend='cv2')
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self.assertTrue(len(cifar) == 10000)
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# traversal whole dataset may cost a
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# long time, randomly check 1 sample
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idx = np.random.randint(0, 10000)
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data, label = cifar[idx]
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self.assertTrue(len(data.shape) == 3)
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self.assertTrue(data.shape[2] == 3)
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self.assertTrue(data.shape[1] == 32)
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self.assertTrue(data.shape[0] == 32)
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self.assertTrue(0 <= int(label) <= 99)
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with self.assertRaises(ValueError):
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cifar = Cifar10(mode='test', backend=1)
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class TestCifar100Train(unittest.TestCase):
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def test_main(self):
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cifar = Cifar100(mode='train')
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self.assertTrue(len(cifar) == 50000)
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# traversal whole dataset may cost a
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# long time, randomly check 1 sample
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idx = np.random.randint(0, 50000)
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data, label = cifar[idx]
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data = np.array(data)
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self.assertTrue(len(data.shape) == 3)
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self.assertTrue(data.shape[2] == 3)
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self.assertTrue(data.shape[1] == 32)
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self.assertTrue(data.shape[0] == 32)
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self.assertTrue(0 <= int(label) <= 99)
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class TestCifar100Test(unittest.TestCase):
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def test_main(self):
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cifar = Cifar100(mode='test')
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self.assertTrue(len(cifar) == 10000)
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# traversal whole dataset may cost a
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# long time, randomly check 1 sample
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idx = np.random.randint(0, 10000)
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data, label = cifar[idx]
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data = np.array(data)
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self.assertTrue(len(data.shape) == 3)
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self.assertTrue(data.shape[2] == 3)
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self.assertTrue(data.shape[1] == 32)
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self.assertTrue(data.shape[0] == 32)
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self.assertTrue(0 <= int(label) <= 99)
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# test cv2 backend
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cifar = Cifar100(mode='test', backend='cv2')
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self.assertTrue(len(cifar) == 10000)
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# traversal whole dataset may cost a
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# long time, randomly check 1 sample
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idx = np.random.randint(0, 10000)
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data, label = cifar[idx]
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self.assertTrue(len(data.shape) == 3)
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self.assertTrue(data.shape[2] == 3)
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self.assertTrue(data.shape[1] == 32)
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self.assertTrue(data.shape[0] == 32)
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self.assertTrue(0 <= int(label) <= 99)
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with self.assertRaises(ValueError):
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cifar = Cifar100(mode='test', backend=1)
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if __name__ == '__main__':
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unittest.main()
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