import tensorflow as tf

                        dtype=DTYPE)
                    b = tf.get_variable(
                        "b_cnn_%s" % i, [num], dtype=DTYPE,
                        initializer=tf.constant_initializer(0.0))

                    conv = tf.nn.conv2d(
                            inp, w,
                            strides=[1, 1, 1, 1],
                            padding="VALID") + b
                    # now max pool
