def max_pool_2x2(input_):
 return tf.nn.max_pool(input_, ksize=[1, 2, 2, 1], strides=[1, 2, 2, 1], padding='SAME')

def max_pool_2x2 ( input_ ) : return tf . nn . max_pool ( input_ , ksize = [ 1 , 2 , 2 , 1 ] , strides = [ 1 , 2 , 2 , 1 ] , padding = 'SAME' )
max pooling .