error when training, using the CIFAR100 dataset writing by dataset.py

[lqin0818]

Traceback (most recent call last): File "D:/Study/VGG/train.py", line 190, in train(epoch) File "D:/Study/VGG/train.py", line 30, in train outputs = net(images) File "C:\Users\qinli.conda\envs\pytorch\lib\site-packages\torch\nn\modules\module.py", line 1511, in _wrapped_call_impl return self._call_impl(*args, kwargs) File "C:\Users\qinli.conda\envs\pytorch\lib\site-packages\torch\nn\modules\module.py", line 1520, in _call_impl return forward_call(*args, *kwargs) File "D:\Study\VGG\vgg_m.py", line 34, in forward x = self.features(x) File "C:\Users\qinli.conda\envs\pytorch\lib\site-packages\torch\nn\modules\module.py", line 1511, in _wrapped_call_impl return self._call_impl(args, kwargs) File "C:\Users\qinli.conda\envs\pytorch\lib\site-packages\torch\nn\modules\module.py", line 1520, in _call_impl return forward_call(*args, kwargs) File "C:\Users\qinli.conda\envs\pytorch\lib\site-packages\torch\nn\modules\container.py", line 217, in forward input = module(input) File "C:\Users\qinli.conda\envs\pytorch\lib\site-packages\torch\nn\modules\module.py", line 1511, in _wrapped_call_impl return self._call_impl(*args, *kwargs) File "C:\Users\qinli.conda\envs\pytorch\lib\site-packages\torch\nn\modules\module.py", line 1520, in _call_impl return forward_call(args, kwargs) File "C:\Users\qinli.conda\envs\pytorch\lib\site-packages\torch\nn\modules\conv.py", line 460, in forward return self._conv_forward(input, self.weight, self.bias) File "C:\Users\qinli.conda\envs\pytorch\lib\site-packages\torch\nn\modules\conv.py", line 456, in _conv_forward return F.conv2d(input, weight, bias, self.stride, RuntimeError: Input type (__int64) and bias type (float) should be the same

[lqin0818]

the model used was VGG11