Traceback (most recent call last): File "/home/bder73002/hpy/ConvNextV2_Demo/train+.py", line 275, in <module> train_loss, train_acc = train(model_ft, DEVICE, train_loader, optimizer, epoch,model_ema) File "/home/bder73002/hpy/ConvNextV2_Demo/train+.py", line 48, in train loss = torch.nan_to_num(criterion_train(output, targets)) # 计算loss File "/home/bder73002/anaconda3/envs/python3.9.2/lib/python3.9/site-packages/torch/nn/modules/module.py", line 889, in _call_impl result = self.forward(*input, **kwargs) File "/home/bder73002/hpy/ConvNextV2_Demo/models/losses.py", line 56, in forward focal_loss = self.focal_loss(x, target) File "/home/bder73002/anaconda3/envs/python3.9.2/lib/python3.9/site-packages/torch/nn/modules/module.py", line 889, in _call_impl result = self.forward(*input, **kwargs) File "/home/bder73002/hpy/ConvNextV2_Demo/models/losses.py", line 21, in forward return focal_loss(F.cross_entropy(input, target, reduction='none', weight=self.weight), self.gamma) File "/home/bder73002/anaconda3/envs/python3.9.2/lib/python3.9/site-packages/torch/nn/functional.py", line 2693, in cross_entropy return nll_loss(log_softmax(input, 1), target, weight, None, ignore_index, None, reduction) File "/home/bder73002/anaconda3/envs/python3.9.2/lib/python3.9/site-packages/torch/nn/functional.py", line 2388, in nll_loss ret = torch._C._nn.nll_loss(input, target, weight, _Reduction.get_enum(reduction), ignore_index) RuntimeError: Expected object of scalar type Long but got scalar type Float for argument #2 'target' in call to _thnn_nll_loss_forward
时间: 2023-09-12 14:06:28 浏览: 298
Mac下anaconda中Spyder打开报错Traceback(most recent call last)…问题
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这个错误的原因是你的标签数据类型不一致。cross_entropy函数要求输入的target必须是Long类型的张量,但是你传入的target是Float类型的标量。你需要将标签转换为Long类型的张量。可以使用以下代码将标签转换为Long类型:
```python
targets = targets.long()
```
将其添加到你的代码中即可。
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