AttributeError:模块“torch.optim.lr_scheduler”没有属性“LinearLR”

Mao*_*o76 4 python object-detection torch pytorch torchvision

我正在尝试使用 Pytorch 训练我自己的对象检测模型。但我总是遇到这个错误。我尝试更改火炬版本,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'
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Sha*_*hai 5

LinearLR调度程序最近才被引入(v1.10.0)。请确保您的 pytorch 版本是最新的,然后重试。

  • 是的, pip install torchvision -U 和 pip install torch -U 为我修复了它。检查您的版本 &gt;= 1.10.0 (2认同)