预训练模型使用
model = ResNet50()model = nn.DataParallel(model).cuda()
加载预训练模型是使用
model = ResNet50().cuda()checkpoint = torch.load(args.net_cache)model.load_state_dict(checkpoint['state_dict'])//
报错：RuntimeError: Error(s) in loading state_dict for Resnet50 Unexpected key(s) in state_dict:““
说明加载模型和预训练模型环境不一致，修改如下(对我的代码可行)：
model = ResNet50().cuda()checkpoint = torch.load(args.net_cache)model.load_state_dict(checkpoint['state_dict'],False)//
model.load_state_dict(state_dict, strict=True)
或者是由于用DataParallel训练的模型数据并行方式的，key中会多个module,加载时直接用
model = ResNet50().cuda()
model = nn.DataParallel(model)checkpoint = torch.load(args.net_cache)model.load_state_dict(checkpoint['state_dict'])//