import tensorflow as tf

            List of tensors from growth block `Conv2D` layers.
        """
        with tf.variable_scope(name_or_scope=self.name, reuse=tf.AUTO_REUSE):
            # Get conv block layer properties.
            conv_block = params["discriminator_growth_conv_blocks"][block_idx]

            # Create new inner convolutional layers.
            conv_tensors = [
                self.conv_layer_blocks[1 + block_idx][i](
                    inputs=tf.zeros(
                        shape=[1] + conv_block[i][0:3], dtype=tf.float32
                    )
                )
                for i in range(len(conv_block))
            ]
            print_obj(
                "\nbuild_discriminator_growth_layer_block",
                "conv_tensors",
