ssungw72674

<div style="background-color: #ffffff; font-family: Consolas, 'Courier New', monospace; font-size: 14px; line-height: 19px; white-space: pre;">
<div style="line-height: 19px;">
<div>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;real_cpu&nbsp;=&nbsp;data[0].to(device)</div>
<div>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;b_size&nbsp;=&nbsp;real_cpu.size(0)</div>
<div>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;label&nbsp;=&nbsp;torch.full((b_size,),&nbsp;real_label,&nbsp;device=device)</div>
<div>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;output&nbsp;=&nbsp;netD(real_cpu).view(-1)</div>
<div>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;</div>
<div>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;output&nbsp;= output.type(torch.FloatTensor)</div>
<div></div>
<div>추가해도 저는 똑같네요 
<div role="group" class="cell-output-text" style="white-space: pre-wrap; word-break: break-all; overflow-x: hidden; color: #d4d4d4; background-color: #1e1e1e;">Starting Training Loop...</div>
<div role="group" class="cell-output-text cell-output-error" style="white-space: pre-wrap; background: var(--override-background, var(--vscode-editor-background)); word-break: break-all; overflow-x: hidden; color: #d4d4d4;">--------------------------------------------------------------------------- RuntimeError Traceback (most recent call last) <ipython-input-16-7c0f18f95470> in <module> 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</div>
</div>
</div>
</div>

ssungw72674

Posts