import tensorflow as tf


            # Build first layer with bigger tensor.
            base_conv_tensors = [
                first_base_conv_layer(
                    inputs=tf.zeros(
                        shape=[1] + conv_block[0][0:2] + [num_in_channels],
                        dtype=tf.float32
                    )
                )
            ]

            # Now build the rest of the base conv block layers, store in list.
            base_conv_tensors.extend(
                [
                    base_conv_layer_block[i](
                        inputs=tf.zeros(
                            shape=[1] + conv_block[i][0:3], dtype=tf.float32
                        )
                    )
                    for i in range(1, len(conv_block))
                ]
            )
            print_obj(
                "\nbuild_discriminator_base_conv_layer_block",
                "base_conv_tensors",
                base_conv_tensors
            )

        return base_conv_tensors

