ResNet
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finetune and use memonger get no memory saving
when I use your code to finetune resnet152 and add code: if args.finetune: symbol, arg_params, aux_params = mx.model.load_checkpoint(args.pretrained_model, args.model_load_epoch) (symbol, arg_params) = get_fine_tune_model(symbol, arg_params, args.num_classes, 'flatten0') finetune result is ok. But when I use memonger option, it cost the same gpu memory as I don't use this one.Does it mean that when I finetune a net and I can not use option to save memory?? thanks~
memonger should also support fine-tune if set correctly.