图像识别-pytorch-RuntimeError: "log_softmax_lastdim_kernel_impl" not implemented for 'Long'

RuntimeError                              Traceback (most recent call last)
~\FashionMNIST_FlyAI - ResNet\main.py in 
    106     y_train=y_train.long()
    107 
--> 108     loss = loss_fn(outputs, y_train)
    109     loss_list.append(loss.item())
    110     loss.backward()

d:\Anaconda3\lib\site-packages\torch\nn\modules\module.py in __call__(self, *input, **kwargs)
    530             result = self._slow_forward(*input, **kwargs)
    531         else:
--> 532             result = self.forward(*input, **kwargs)
    533         for hook in self._forward_hooks.values():
    534             hook_result = hook(self, input, result)

d:\Anaconda3\lib\site-packages\torch\nn\modules\loss.py in forward(self, input, target)
    914     def forward(self, input, target):
    915         return F.cross_entropy(input, target, weight=self.weight,
--> 916                                ignore_index=self.ignore_index, reduction=self.reduction)
    917 
    918 

d:\Anaconda3\lib\site-packages\torch\nn\functional.py in cross_entropy(input, target, weight, size_average, ignore_index, reduce, reduction)
   2019     if size_average is not None or reduce is not None:
   2020         reduction = _Reduction.legacy_get_string(size_average, reduce)
-> 2021     return nll_loss(log_softmax(input, 1), target, weight, None, ignore_index, None, reduction)
   2022 
   2023 

d:\Anaconda3\lib\site-packages\torch\nn\functional.py in log_softmax(input, dim, _stacklevel, dtype)
   1315         dim = _get_softmax_dim('log_softmax', input.dim(), _stacklevel)
   1316     if dtype is None:
-> 1317         ret = input.log_softmax(dim)
   1318     else:
   1319         ret = input.log_softmax(dim, dtype=dtype)

RuntimeError: "log_softmax_lastdim_kernel_impl" not implemented for 'Long'

解决方案：

y_train=y_train.long()