forked from TensorLayer/tensorlayer3
89 lines
2.6 KiB
Python
89 lines
2.6 KiB
Python
#!/usr/bin/env python
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# -*- coding: utf-8 -*-
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import os
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import unittest
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os.environ['TF_CPP_MIN_LOG_LEVEL'] = '3'
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import tensorlayer as tl
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from tests.utils import CustomTestCase
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class Layer_Padding_Test(CustomTestCase):
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@classmethod
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def setUpClass(cls):
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## 1D
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cls.input_layer1 = tl.layers.Input([None, 100, 1], name='input_layer1')
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n1 = tl.layers.ZeroPad1d(padding=1)(cls.input_layer1)
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n2 = tl.layers.ZeroPad1d(padding=(2, 3))(cls.input_layer1)
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cls.n1_shape = n1.get_shape().as_list()
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cls.n2_shape = n2.get_shape().as_list()
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## 2D
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cls.input_layer2 = tl.layers.Input([None, 100, 100, 3], name='input_layer2')
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n0 = tl.layers.PadLayer([[0, 0], [3, 3], [3, 3], [0, 0]], "REFLECT", name='inpad')(cls.input_layer2)
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n3 = tl.layers.ZeroPad2d(padding=2)(cls.input_layer2)
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n4 = tl.layers.ZeroPad2d(padding=(2, 3))(cls.input_layer2)
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n5 = tl.layers.ZeroPad2d(padding=((3, 3), (4, 4)))(cls.input_layer2)
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cls.n0_shape = n0.get_shape().as_list()
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cls.n3_shape = n3.get_shape().as_list()
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cls.n4_shape = n4.get_shape().as_list()
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cls.n5_shape = n5.get_shape().as_list()
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## 3D
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cls.input_layer3 = tl.layers.Input([None, 100, 100, 100, 3], name='input_layer3')
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n6 = tl.layers.ZeroPad3d(padding=2)(cls.input_layer3)
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n7 = tl.layers.ZeroPad3d(padding=(2, 3, 4))(cls.input_layer3)
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n8 = tl.layers.ZeroPad3d(padding=((3, 3), (4, 4), (5, 5)))(cls.input_layer3)
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cls.n6_shape = n6.get_shape().as_list()
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cls.n7_shape = n7.get_shape().as_list()
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cls.n8_shape = n8.get_shape().as_list()
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@classmethod
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def tearDownClass(cls):
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pass
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def test_n0_shape(self):
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self.assertEqual(self.n0_shape[1:], [106, 106, 3])
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def test_n1_shape(self):
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self.assertEqual(self.n1_shape[1:], [102, 1])
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def test_n2_shape(self):
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self.assertEqual(self.n2_shape[1:], [105, 1])
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def test_n3_shape(self):
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self.assertEqual(self.n3_shape[1:], [104, 104, 3])
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def test_n4_shape(self):
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self.assertEqual(self.n4_shape[1:], [104, 106, 3])
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def test_n5_shape(self):
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self.assertEqual(self.n5_shape[1:], [106, 108, 3])
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def test_n6_shape(self):
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self.assertEqual(self.n6_shape[1:], [104, 104, 104, 3])
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def test_n7_shape(self):
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self.assertEqual(self.n7_shape[1:], [104, 106, 108, 3])
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def test_n8_shape(self):
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self.assertEqual(self.n8_shape[1:], [106, 108, 110, 3])
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if __name__ == '__main__':
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tl.logging.set_verbosity(tl.logging.DEBUG)
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unittest.main()
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