Example #1
0
 def testImagesToSequenceDims(self):
   with self.test_session():
     inputs = tf.constant(_rand(2, 7, 11, 5))
     outputs = lstm2d.images_to_sequence(inputs)
     tf.initialize_all_variables().run()
     result = outputs.eval()
     self.assertEqual(tuple(result.shape), (11, 14, 5))
Example #2
0
 def testImagesAndSequenceDims(self):
   with self.test_session():
     size = (2, 7, 11, 5)
     inputs = tf.constant(_rand(*size))
     sequence = lstm2d.images_to_sequence(inputs)
     outputs = lstm2d.sequence_to_images(sequence, size[0])
     tf.initialize_all_variables().run()
     result = outputs.eval()
     self.assertEqual(tuple(result.shape), size)