AttributeError: module 'torch.optim.lr_scheduler' has no attribute 'LinearLR'
AttributeError: module 'torch.optim.lr_scheduler' has no attribute 'LinearLR'
我正在尝试使用 Pytorch 训练我自己的对象检测模型。但我总是收到这个错误。我尝试更改 torch 版本,但这没有帮助。
我的软件包:torchvision-0.11.1 和 torch-1.10.0
---------------------------------------------------------------------------
AttributeError Traceback (most recent call last)
<ipython-input-10-9e52b782b448> in <module>()
4 for epoch in range(num_epochs):
5 # training for one epoch
----> 6 train_one_epoch(model, optimizer, data_loader, device, epoch, print_freq=10)
7 # update the learning rate
8 lr_scheduler.step()
/content/engine.py in train_one_epoch(model, optimizer, data_loader, device, epoch, print_freq)
21 warmup_iters = min(1000, len(data_loader) - 1)
22
---> 23 lr_scheduler = torch.optim.lr_scheduler.LinearLR(
24 optimizer, start_factor=warmup_factor, total_iters=warmup_iters
25 )
AttributeError: module 'torch.optim.lr_scheduler' has no attribute 'LinearLR'
LinearLR
调度程序是最近才引入的 (v1.10.0)。请确保您的 pytorch 版本是最新的,然后重试。
我正在尝试使用 Pytorch 训练我自己的对象检测模型。但我总是收到这个错误。我尝试更改 torch 版本,但这没有帮助。
我的软件包:torchvision-0.11.1 和 torch-1.10.0
---------------------------------------------------------------------------
AttributeError Traceback (most recent call last)
<ipython-input-10-9e52b782b448> in <module>()
4 for epoch in range(num_epochs):
5 # training for one epoch
----> 6 train_one_epoch(model, optimizer, data_loader, device, epoch, print_freq=10)
7 # update the learning rate
8 lr_scheduler.step()
/content/engine.py in train_one_epoch(model, optimizer, data_loader, device, epoch, print_freq)
21 warmup_iters = min(1000, len(data_loader) - 1)
22
---> 23 lr_scheduler = torch.optim.lr_scheduler.LinearLR(
24 optimizer, start_factor=warmup_factor, total_iters=warmup_iters
25 )
AttributeError: module 'torch.optim.lr_scheduler' has no attribute 'LinearLR'
LinearLR
调度程序是最近才引入的 (v1.10.0)。请确保您的 pytorch 版本是最新的,然后重试。