Closed shubhoppo closed 1 year ago
Hi, You can just initialize one block here and re-use it in the forward.
Please suggest or upload the code, which shares the learnable parameters among the three branches.
Thanks for the suggestion. Could we expect using 2 SAM block(ESDNET-L) in weight shared manner give better PSNR than ESDNET?
Thanks for the suggestion. Could we expect using 2 SAM block(ESDNET-L) in weight shared manner give better PSNR than ESDNET?
It's possible, but I can't give you a definite answer. You may need to try it yourself.
Also after weight sharing model size is compressed but inference time is still same.
Also after weight sharing model size is compressed but inference time is still same.
This is an expected behavior since parameter sharing does not reduce computational complexity.
Yeah, Got it. Thanks
Please suggest or upload the code, which shares the learnable parameters among the three branches.