📚 Documentation There's a lot of documentation out there about using the resume_from_checkpoint keyword in a pytorch trainer however this is wrong. In the latest pytorch version, one needs to provide the path to the checkpoint (.ckpt fil...
parser.add_argument('--resume', action='store_true', default=False, help='resume training from checkpoint') args = parser.parse_args() use_cuda = torch.cuda.is_available() and not args.no_cuda device = torch.device('cuda' if use_cuda else 'cpu') torch.manual_seed(args.seed) if u...
在上面的代码中,我们定义了一个简单的神经网络模型SimpleModel,并使用PyTorch Lightning进行训练。在训练开始之前,我们检查是否有之前保存的checkpoint文件checkpoint.ckpt,如果有,则加载之前保存的模型状态,并从上次训练的epoch开始继续训练。在训练结束后,我们保存当前的模型checkpoint,以备后续恢复训练使用。 状态图 下面是...
when i resume training from checkpoint, i find: torch/optim/functional.py", line 169, in sgd buf.mul(momentum).add_(d_p, alpha=1 - dampening) RuntimeError: Expected all tensors to be on the same device, but found at least two devices, cuda:0 and cuda:6! the checkpoint was saved...
parser.add_argument('--resume',action='store_true',default=False, help='resume training from checkpoint') args=parser.parse_args() use_cuda=torch.cuda.is_available()andnotargs.no_cuda device=torch.device('cuda'ifuse_cudaelse'cpu')
parser.add_argument('--resume', '-r', action='store_true', help='resume from checkpoint') # dataparallel parser.add_argument('--world_size', default=1, type=int, help='number of nodes for distributed training') parser.add_argument('--local_rank', default=0, type=int, ...
[0,1,2,3],strategy=“ddp_find_unused_parameters_false" #多GPU的DistributedDataParallel(速度提升效果好) callbacks = [ckpt_callback,early_stopping], profiler="simple") #断点续训 #trainer = pl.Trainer(resume_from_checkpoint='./lightning_logs/version_31/checkpoints/epoch=02-val_loss=0.05.ckpt...
parser.add_argument('--resume', action='store_true', default=False, help='resume training from checkpoint') args=parser.parse_args() use_cuda= torch.cuda.is_available()andnotargs.no_cuda device= torch.device('cuda'ifuse_cudaelse'cpu') ...
#trainer=pl.Trainer(resume_from_checkpoint='./lightning_logs/version_31/checkpoints/epoch=02-val_loss=0.05.ckpt')trainer.fit(model,dl_train,dl_valid) 代码语言:javascript 复制 Global seedsetto1234GPUavailable:False,used:FalseTPUavailable:None,using:0TPUcores|Name|Type|Params---0|layers|ModuleList...
runner.register_training_hooks(cfg.lr_config, optimizer_config, cfg.checkpoint_config, cfg.log_config, cfg.get('momentum_config',None)) # 5 可选 classExampleModule(nn.Module): @auto_fp16() defforward(self, x, y): features=...