import tensorflow as tf

                conv = tf.nn.conv2d(layer_last, filters, [1, 1, 1, 1], padding=padding)
                biased = tf.nn.bias_add(conv, biases)
                convolved = tf.nn.relu(biased)

                pool_shape = [1, ptime, pband, 1]
                pooled = tf.nn.max_pool(convolved, ksize=pool_shape, strides=pool_shape, padding='SAME')
                print('{}: {}'.format(layer_name, pooled.get_shape()))

                export_feat_tensors[layer_name] = pooled

