lr scheduler ### /opt/conda/lib/python3.9/site-packages/torch/optim/swa_utils.py in __init__(self, model, device, avg_fn) 87 def __init__(self, model, device=None, avg_fn=None): 88 super(AveragedModel, self).__init__() ---> 89 self.module = deepcopy(model) 90 if device...
loader, model = ... torch.optim.swa_utils.update_bn(loader, model) 3.3 SWALR SWALR类继承_LRScheduler基类,实现了供 swa 模型的学习率调整策略 在此就只放出其使用示例: Example: >>> loader, optimizer, model = ... >>> swa_model = torch.optim.swa_utils.AveragedModel(model) >>> lr_lamb...
torch.optim.swa_utils.AveragedModel # SWA model CLASS swa_model = AveragedModel(model) # model 可以是任意 torch.nn.Module 模块。 swa_model.update_parameters(model)# swa_model 跟踪平均参数,更新参数 # swa 学习率 swa_scheduler = torch.optim.swa_utils.SWALR(optimizer, anneal_strategy="linear",...
Tensors and Dynamic neural networks in Python with strong GPU acceleration - pytorch/torch/optim/swa_utils.py at v1.7.1 · pytorch/pytorch