RuntimeError: input and target shapes do not match: input [16 x 512 x 8 x 8], target [16 x 512 x 2 x 2]

[AMardiah]

hey i'm trying to load image 128x128 and i have resized it into 64x64 in data_loader but i still get this error

Traceback (most recent call last):
File "train_gan.py", line 245, in
args.restore_file,cuda_id=cuda_id)
File "train_gan.py", line 127, in train_and_evaluate
train(netG, netD, optimG, optimD, loss_fn, train_dataloader, metrics, params, cuda_id)
File "train_gan.py", line 66, in train
g_loss = loss_fn(fake_out, fake_img, real_img)
File "C:\Users\PC\Anaconda3\envs\cgan\lib\site-packages\torch\nn\modules\module.py", line 477, in call
result = self.forward(*input, **kwargs)
File "F:\ProgramTA\CGAN_AinilMardiah\program\loss.py", line 78, in forward
perception_loss = self.mse_loss(self.loss_network(out_images), self.loss_network(target_images))
File "C:\Users\PC\Anaconda3\envs\cgan\lib\site-packages\torch\nn\modules\module.py", line 477, in call
result = self.forward(*input, **kwargs)
File "C:\Users\PC\Anaconda3\envs\cgan\lib\site-packages\torch\nn\modules\loss.py", line 421, in forward
return F.mse_loss(input, target, reduction=self.reduction)
File "C:\Users\PC\Anaconda3\envs\cgan\lib\site-packages\torch\nn\functional.py", line 1716, in mse_loss
return _pointwise_loss(lambda a, b: (a - b) ** 2, torch._C._nn.mse_loss, input, target, reduction)
File "C:\Users\PC\Anaconda3\envs\cgan\lib\site-packages\torch\nn\functional.py", line 1674, in _pointwise_loss
return lambd_optimized(input, target, reduction)
RuntimeError: input and target shapes do not match: input [16 x 512 x 8 x 8], target [16 x 512 x 2 x 2] at c:\programdata\miniconda3\conda-bld\pytorch_1532505617613\work\aten\src\thcunn\generic/MSECriterion.cu:12

could help me how to solve the error?

[Yuyiba]

me too orz^