import tensorflow as tf

                num_in_channels = conv_block[0][3]

            # Get first base conv layer from list.
            first_base_conv_layer = base_conv_layer_block[0]

            # 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.
