def testCreateAveragePooling1DChannelsFirst(self):
width = 7
images = random_ops.random_uniform((5, 4, width))
layer = pooling_layers.AveragePooling1D(
2, strides=2, data_format='channels_first')
output = layer.apply(images)
self.assertListEqual(output.get_shape().as_list(), [5, 4, 3])
def testCreateAveragePooling1D(self):
width = 7
channels = 3
images = random_ops.random_uniform((5, width, channels))
layer = pooling_layers.AveragePooling1D(2, strides=2)
output = layer.apply(images)
self.assertListEqual(output.get_shape().as_list(),
[5, width // 2, channels])
def testCreateAveragePooling1D(self):
width = 7
images = tf.random_uniform((5, width, 4))
layer = pooling_layers.AveragePooling1D(2, strides=2)
output = layer.apply(images)
self.assertListEqual(output.get_shape().as_list(), [5, 3, 4])