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- #!/usr/bin/env python
- # -*- coding: utf-8 -*-
- import sys
- sys.path.append("/home/wurundi/workspace/tensorlayer2")
-
- import os
- import unittest
-
- os.environ['TF_CPP_MIN_LOG_LEVEL'] = '3'
-
- import tensorlayer as tl
- from tensorlayer.layers import *
-
- from tests.utils import CustomTestCase
-
-
- class Layer_Pooling_Test(CustomTestCase):
-
- @classmethod
- def setUpClass(cls):
-
- ## 1D ========================================================================
-
- ## 2D ========================================================================
-
- x_2_input_shape = [None, 100, 100, 3]
- nin_2 = Input(x_2_input_shape)
-
- n6 = tl.layers.Conv2d(n_filter=32, filter_size=(3, 3), strides=(2, 2), name='test_conv2d')(nin_2)
-
- n7 = tl.layers.UpSampling2d(scale=(2, 2), name='test_UpSampling2d_1')(n6)
-
- n8 = tl.layers.UpSampling2d(scale=3, name='test_UpSampling2d_2')(n6)
-
- n9 = tl.layers.DownSampling2d(scale=(2, 2), name='test_DownSampling2d_1')(n6)
-
- n10 = tl.layers.DownSampling2d(scale=5, name='test_DownSampling2d_2')(n6)
-
- cls.n6_shape = n6.get_shape().as_list()
- cls.n7_shape = n7.get_shape().as_list()
- cls.n8_shape = n8.get_shape().as_list()
- cls.n9_shape = n9.get_shape().as_list()
- cls.n10_shape = n10.get_shape().as_list()
-
- @classmethod
- def tearDownClass(cls):
- pass
- # tf.reset_default_graph()
-
- def test_UpSampling2d(self):
- self.assertEqual(self.n7_shape[1:3], [100, 100])
- self.assertEqual(self.n8_shape[1:3], [150, 150])
-
- try:
- layer = tl.layers.UpSampling2d(scale=(2, 2, 2))
- except Exception as e:
- print(e)
-
- def test_DownSampling2d(self):
- self.assertEqual(self.n9_shape[1:3], [25, 25])
- self.assertEqual(self.n10_shape[1:3], [10, 10])
-
- try:
- layer = tl.layers.DownSampling2d(scale=(2, 2, 2))
- except Exception as e:
- print(e)
-
-
- if __name__ == '__main__':
-
- tl.logging.set_verbosity(tl.logging.DEBUG)
-
- unittest.main()
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