45 lines
1.4 KiB
45 lines
1.4 KiB
# Copyright (c) 2016 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 paddle.v2.dataset.mnist
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import unittest
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class TestMNIST(unittest.TestCase):
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def check_reader(self, reader):
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sum = 0
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label = 0
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for l in reader():
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self.assertEqual(l[0].size, 784)
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if l[1] > label:
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label = l[1]
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sum += 1
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return sum, label
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def test_train(self):
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instances, max_label_value = self.check_reader(
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paddle.v2.dataset.mnist.train())
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self.assertEqual(instances, 60000)
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self.assertEqual(max_label_value, 9)
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def test_test(self):
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instances, max_label_value = self.check_reader(
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paddle.v2.dataset.mnist.test())
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self.assertEqual(instances, 10000)
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self.assertEqual(max_label_value, 9)
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if __name__ == '__main__':
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unittest.main()
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