unpickled total 0 examples
unpickled total 8517 examples
Traceback (most recent call last):
File "train.py", line 128, in
main()
File "train.py", line 102, in main
for bid, batch in enumerate(dataloader):
File "D:\PaddleGAN-venv\lib\site-packages\torch\utils\data\dataloader.py", line 521, in next
data = self._next_data()
File "D:\PaddleGAN-venv\lib\site-packages\torch\utils\data\dataloader.py", line 561, in _next_data
data = self._dataset_fetcher.fetch(index) # may raise StopIteration
File "D:\PaddleGAN-venv\lib\site-packages\torch\utils\data_utils\fetch.py", line 49, in fetch
data = [self.dataset[idx] for idx in possibly_batched_index]
File "D:\PaddleGAN-venv\lib\site-packages\torch\utils\data_utils\fetch.py", line 49, in
data = [self.dataset[idx] for idx in possibly_batched_index]
File "D:\code\zi2zi-pytorch-master\data\dataset.py", line 35, in getitem
img_A, img_B = self.process(item[1])
File "D:\code\zi2zi-pytorch-master\data\dataset.py", line 102, in process
img_A = self.transform(img_A)
File "D:\PaddleGAN-venv\lib\site-packages\torch\nn\modules\module.py", line 1102, in _call_impl
return forward_call(*input, **kwargs)
File "D:\PaddleGAN-venv\lib\site-packages\torchvision\transforms\transforms.py", line 226, in forward
File "D:\PaddleGAN-venv\lib\site-packages\torchvision\transforms\functional.py", line 351, in normali
ze
tensor.sub(mean).div(std)
RuntimeError: output with shape [1, 256, 256] doesn't match the broadcast shape [3, 256, 256]
unpickled total 0 examples unpickled total 8517 examples Traceback (most recent call last): File "train.py", line 128, in
main()
File "train.py", line 102, in main
for bid, batch in enumerate(dataloader):
File "D:\PaddleGAN-venv\lib\site-packages\torch\utils\data\dataloader.py", line 521, in next
data = self._next_data()
File "D:\PaddleGAN-venv\lib\site-packages\torch\utils\data\dataloader.py", line 561, in _next_data
data = self._dataset_fetcher.fetch(index) # may raise StopIteration
File "D:\PaddleGAN-venv\lib\site-packages\torch\utils\data_utils\fetch.py", line 49, in fetch
data = [self.dataset[idx] for idx in possibly_batched_index]
File "D:\PaddleGAN-venv\lib\site-packages\torch\utils\data_utils\fetch.py", line 49, in
data = [self.dataset[idx] for idx in possibly_batched_index]
File "D:\code\zi2zi-pytorch-master\data\dataset.py", line 35, in getitem
img_A, img_B = self.process(item[1])
File "D:\code\zi2zi-pytorch-master\data\dataset.py", line 102, in process
img_A = self.transform(img_A)
File "D:\PaddleGAN-venv\lib\site-packages\torch\nn\modules\module.py", line 1102, in _call_impl
return forward_call(*input, **kwargs)
File "D:\PaddleGAN-venv\lib\site-packages\torchvision\transforms\transforms.py", line 226, in forward
File "D:\PaddleGAN-venv\lib\site-packages\torchvision\transforms\functional.py", line 351, in normali ze tensor.sub(mean).div(std) RuntimeError: output with shape [1, 256, 256] doesn't match the broadcast shape [3, 256, 256]
求教下,怎么调整?