runtime error : Found dtype Long but expected Float

real_cpu = data[0].to(device) b_size = real_cpu.size(0) label = torch.full((b_size,), real_label, device=device) output = netD(real_cpu).view(-1) output = output.type(torch.FloatTensor) 추가해도 저는 똑같네요 Starting Training Loop... --------------------------------------------------------------------------- RuntimeError Traceback (most recent call last) in 23 output = output.type(torch.FloatTensor) 24 ---> 25 errD_real = criterion(output, label) 26 errD_real.backward() 27 D_x = output.mean().item() ~\anaconda3\envs\pytorch3.7\lib\site-packages\torch\nn\modules\module.py in _call_impl(self, *input, **kwargs) 725 result = self._slow_forward(*input, **kwargs) 726 else: --> 727 result = self.forward(*input, **kwargs) 728 for hook in itertools.chain( 729 _global_forward_hooks.values(), ~\anaconda3\envs\pytorch3.7\lib\site-packages\torch\nn\modules\loss.py in forward(self, input, target) 528 529 def forward(self, input: Tensor, target: Tensor) -> Tensor: --> 530 return F.binary_cross_entropy(input, target, weight=self.weight, reduction=self.reduction) 531 532 ~\anaconda3\envs\pytorch3.7\lib\site-packages\torch\nn\functional.py in binary_cross_entropy(input, target, weight, size_average, reduce, reduction) 2524 2525 return torch._C._nn.binary_cross_entropy( -> 2526 input, target, weight, reduction_enum) 2527 2528 RuntimeError: Found dtype Long but expected Float