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(pytorch) D:\g\project\333>python SupContrast\main_ce.py
Files already downloaded and verified
Traceback (most recent call last):
File "SupContrast\main_ce.py", line 347, in
main()
File "SupContrast\main_ce.py", line 316, in main
loss, train_acc = train(train_loader, model, criterion, optimizer, epoch, opt)
File "SupContrast\main_ce.py", line 223, in train
output = model(images)
File "C:\Users\11708\Desktop\minikangda\envs\pytorch\lib\site-packages\torch\nn\modules\module.py", line 550, in call
result = self.forward(*input, **kwargs)
File "D:\g\project\333\SupContrast\resnet_big.py", line 198, in forward
return self.fc(self.encoder(x))
File "C:\Users\11708\Desktop\minikangda\envs\pytorch\lib\site-packages\torch\nn\modules\module.py", line 550, in call
result = self.forward(*input, **kwargs)
File "D:\g\project\333\SupContrast\resnet_big.py", line 118, in forward
out = self.layer1(out)
File "C:\Users\11708\Desktop\minikangda\envs\pytorch\lib\site-packages\torch\nn\modules\module.py", line 550, in call
result = self.forward(*input, **kwargs)
File "C:\Users\11708\Desktop\minikangda\envs\pytorch\lib\site-packages\torch\nn\modules\container.py", line 100, in forward
input = module(input)
File "C:\Users\11708\Desktop\minikangda\envs\pytorch\lib\site-packages\torch\nn\modules\module.py", line 550, in call
result = self.forward(*input, **kwargs)
File "D:\g\project\333\SupContrast\resnet_big.py", line 66, in forward
out += self.shortcut(x)
File "C:\Users\11708\Desktop\minikangda\envs\pytorch\lib\site-packages\torch\nn\modules\module.py", line 550, in call
result = self.forward(*input, **kwargs)
File "C:\Users\11708\Desktop\minikangda\envs\pytorch\lib\site-packages\torch\nn\modules\container.py", line 100, in forward
input = module(input)
File "C:\Users\11708\Desktop\minikangda\envs\pytorch\lib\site-packages\torch\nn\modules\module.py", line 550, in call
result = self.forward(*input, **kwargs)
File "C:\Users\11708\Desktop\minikangda\envs\pytorch\lib\site-packages\torch\nn\modules\conv.py", line 353, in forward
return self._conv_forward(input, self.weight)
File "C:\Users\11708\Desktop\minikangda\envs\pytorch\lib\site-packages\torch\nn\modules\conv.py", line 350, in _conv_forward
self.padding, self.dilation, self.groups)
RuntimeError: CUDA out of memory. Tried to allocate 256.00 MiB (GPU 0; 2.00 GiB total capacity; 1.15 GiB already allocated; 21.82 MiB free; 1.26 GiB reserved in total by PyTorch)