import tensorflow as tf

                    1,
                    scope='feature_projection' + str(i)))
            # Resize to decoder_height/decoder_width.
            for j, feature in enumerate(decoder_features_list):
              decoder_features_list[j] = tf.image.resize_bilinear(
                  feature, [decoder_height, decoder_width], align_corners=True)
              if is_training:
                decoder_features_list[j].set_shape(
