import tensorflow as tf

        kernel = tf.get_variable("weights", [kH, kW, nIn, nOut],
            initializer=tf.truncated_normal_initializer(stddev=1e-1),
            regularizer=l2_regularizer, dtype=inpOp.dtype)
        cnv = tf.nn.conv2d(inpOp, kernel, [1, dH, dW, 1], padding=padType)
        
        if use_batch_norm:
