Hello, Thanks for your sharing!
I followed the steps to train WDSR-b model with --resblock 8 and --n_feats 64 , and got 34.755 PSNR on DIV2K 801~900 photos.
My inference time is 1.1 seconds in 1080Ti for 1020×678 to 2040×1356, I would like to know if there is any way to reduce the inference time when network' s parameters are constant.
I am looking forward for you reply, thanks a lot!
Hello, Thanks for your sharing! I followed the steps to train WDSR-b model with --resblock 8 and --n_feats 64 , and got 34.755 PSNR on DIV2K 801~900 photos. My inference time is 1.1 seconds in 1080Ti for 1020×678 to 2040×1356, I would like to know if there is any way to reduce the inference time when network' s parameters are constant. I am looking forward for you reply, thanks a lot!