def testAveragePooling3DChannelsFirst(self):
depth, height, width = 6, 7, 9
images = tf.random.uniform((5, 2, depth, height, width))
layer = pooling_layers.AveragePooling3D(
[2, 2, 2], strides=2, data_format='channels_first')
output = layer(images)
self.assertListEqual(output.get_shape().as_list(), [5, 2, 3, 3, 4])
def testCreateAveragePooling3D(self):
depth, height, width = 6, 7, 9
images = tf.random.uniform((5, depth, height, width, 4))
layer = pooling_layers.AveragePooling3D([2, 2, 2], strides=2)
output = layer(images)
self.assertListEqual(output.get_shape().as_list(), [5, 3, 3, 4, 4])