import tensorflow as tf

        conv1 = tf.layers.conv2d(x, filters=32*amp_factor, kernel_size=[5, 3],
                                 data_format='channels_last', padding= "same",
                                 strides=(2, 1),
                                 activation=tf.nn.relu)
        pool1 = conv1

        conv2 = tf.layers.conv2d(pool1, filters=64*amp_factor, kernel_size=[5, 1],
                                 data_format='channels_last', padding= "same",
                                 strides=(2, 1),
                                 activation=tf.nn.relu)
        pool2 = conv2

