Haochuan Hu
Hi, I tried to solve the problems in structureing pruing. Now the code can run without error but I'm not sure it matchs the method in the paper. And here...
Hi, when I prune resnet in structured type, I got error like this: Traceback (most recent call last): File "prune.py", line 131, in pruner.prune(model, prune_rate) File "/content/deep-compression-master/pruners/l1_pruner.py", line 70, in...
Is there a way that we can get all the images from candidate pool so that we can create more testsets based on different threshold? Thank you.