# Copyright (c) 2020 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 unittest import numpy as np from paddle.vision.datasets import Cifar10, Cifar100 class TestCifar10Train(unittest.TestCase): def test_main(self): cifar = Cifar10(mode='train') self.assertTrue(len(cifar) == 50000) # traversal whole dataset may cost a # long time, randomly check 1 sample idx = np.random.randint(0, 50000) data, label = cifar[idx] data = np.array(data) self.assertTrue(len(data.shape) == 3) self.assertTrue(data.shape[2] == 3) self.assertTrue(data.shape[1] == 32) self.assertTrue(data.shape[0] == 32) self.assertTrue(0 <= int(label) <= 9) class TestCifar10Test(unittest.TestCase): def test_main(self): cifar = Cifar10(mode='test') self.assertTrue(len(cifar) == 10000) # traversal whole dataset may cost a # long time, randomly check 1 sample idx = np.random.randint(0, 10000) data, label = cifar[idx] data = np.array(data) self.assertTrue(len(data.shape) == 3) self.assertTrue(data.shape[2] == 3) self.assertTrue(data.shape[1] == 32) self.assertTrue(data.shape[0] == 32) self.assertTrue(0 <= int(label) <= 9) # test cv2 backend cifar = Cifar10(mode='test', backend='cv2') self.assertTrue(len(cifar) == 10000) # traversal whole dataset may cost a # long time, randomly check 1 sample idx = np.random.randint(0, 10000) data, label = cifar[idx] self.assertTrue(len(data.shape) == 3) self.assertTrue(data.shape[2] == 3) self.assertTrue(data.shape[1] == 32) self.assertTrue(data.shape[0] == 32) self.assertTrue(0 <= int(label) <= 99) with self.assertRaises(ValueError): cifar = Cifar10(mode='test', backend=1) class TestCifar100Train(unittest.TestCase): def test_main(self): cifar = Cifar100(mode='train') self.assertTrue(len(cifar) == 50000) # traversal whole dataset may cost a # long time, randomly check 1 sample idx = np.random.randint(0, 50000) data, label = cifar[idx] data = np.array(data) self.assertTrue(len(data.shape) == 3) self.assertTrue(data.shape[2] == 3) self.assertTrue(data.shape[1] == 32) self.assertTrue(data.shape[0] == 32) self.assertTrue(0 <= int(label) <= 99) class TestCifar100Test(unittest.TestCase): def test_main(self): cifar = Cifar100(mode='test') self.assertTrue(len(cifar) == 10000) # traversal whole dataset may cost a # long time, randomly check 1 sample idx = np.random.randint(0, 10000) data, label = cifar[idx] data = np.array(data) self.assertTrue(len(data.shape) == 3) self.assertTrue(data.shape[2] == 3) self.assertTrue(data.shape[1] == 32) self.assertTrue(data.shape[0] == 32) self.assertTrue(0 <= int(label) <= 99) # test cv2 backend cifar = Cifar100(mode='test', backend='cv2') self.assertTrue(len(cifar) == 10000) # traversal whole dataset may cost a # long time, randomly check 1 sample idx = np.random.randint(0, 10000) data, label = cifar[idx] self.assertTrue(len(data.shape) == 3) self.assertTrue(data.shape[2] == 3) self.assertTrue(data.shape[1] == 32) self.assertTrue(data.shape[0] == 32) self.assertTrue(0 <= int(label) <= 99) with self.assertRaises(ValueError): cifar = Cifar100(mode='test', backend=1) if __name__ == '__main__': unittest.main()