This contribution presents an encoder optimization technique on top of the deep learning-based in-loop filtering method combined with deblocking in EE1-1.6. The proposed method is asserted to improve the compression efficiency at encoder by introducing CNN-based filtering and deblocking into the rate-distortion optimization (RDO) process. In the RDO process, CNN-based filtering is implemented with SADL using fixed point-based calculation. Compared with VTM11.0_nnvc, the proposed method reportedly shows on average {x%, x%, x%}, { x%, x%, x%}, and {x%, x%, x%} BD-rate reductions for {Y, Cb, Cr} components, under AI, RA, and LDB configurations, respectively.