assert os.path.isfile(args.resume), 'Error: no checkpoint directory found!' args.checkpoint = os.path.dirname(args.resume) checkpoint = torch.load(args.resume) best_acc = checkpoint['best_acc'] start_epoch = checkpoint['epoch'] model.load_state_dict(checkpoint) logger = Logger(os.path.j...
torch.load('tensors.pt', map_location=lambda storage, loc: storage) #或者model.load_state_dict(torch.load('model.pth', map_location='cpu')) # 把所有的张量加载到GPU 1中 torch.load('tensors.pt', map_location=lambda storage, loc: storage.cuda(1)) # 把张量从GPU 1 移动到 GPU 0 tor...
torch.save(model.state_dict(), PATH) # load model = MyModel(*args, **kwargs) model.load_state_dict(torch.load(PATH)) model.eval() 1. 2. 3. 4. 5. 6. 7. 可以看到模型保存的是model.state_dict()的返回对象。model.state_dict()的返回对象是一个OrderDict,它以键值对的形式包含模型中需...
torch.load('tensors.pt') # 强制所有GPU张量加载到CPU中 torch.load('tensors.pt', map_location=lambda storage, loc: storage) #或者model.load_state_dict(torch.load('model.pth', map_location='cpu')) # 把所有的张量加载到GPU 1中 torch.load('tensors.pt', map_location=lambda storage, loc...
I have created a PyTorch model checkpoint using torch.save; however, I'm unable to load this model using torch.load. I run into the following error: >>> torch.load('model_best.pth.tar') Traceback (most recent call last): File "<stdin>", ...
path.isfile(checkpoint_path) checkpoint_dict = torch.load(checkpoint_path, map_location='cuda') args = checkpoint_dict['kwargs'] model = HDemucs(**args) state_dict = checkpoint_dict['state'] if hasattr(model, 'module'): model.module.load_state_dict(state_dict) else: model.load_state...
model = torch.load('model.pth\pkl\pt') #⼀般形式为model_dict=torch.load(PATH)（2）仅保存和加载模型参数(推荐使⽤,需要提前⼿动构建模型)速度快，占空间少 # 保存模型参数 torch.save(model.state_dict(), 'model.pth\pkl\pt') #⼀般形式为torch.save(net.state_dict(),PATH)# 加载...
checkpoint = torch.load(ckpt_path, map_location=device) gptconf = GPTConfig(**checkpoint['model_args']) model = GPT(gptconf) state_dict = checkpoint['model'] unwanted_prefix = '_orig_mod.' for k,v in list(state_dict.items()): ...
loaded_objects = torch.load(fname)assertloaded_objects == model.cpu().state_dict() 開發者ID:pytorch,項目名稱:ignite,代碼行數:22,代碼來源:test_checkpoint.py 示例8: _create_checkpoint_handler ▲點讚 5▼ # 需要導入模塊: from ignite import handlers [as 別名]# 或者: from ignite.handlers impo...
torch.save({'state_dict': self.model.state_dict()}, path_save) 开发者ID:wyf2017,项目名称:DSMnet,代码行数:13,代码来源:stereo.py # 需要导入模块: from utils import utils [as 别名]# 或者: from utils.utils importsave_checkpoint[as 别名]defstart(self):args = self.argsifargs.mode =='te...