raceback (most recent call last):
File "D:\PyCharm 2020.1\plugins\python\helpers\pydev\pydevd.py", line 1438, in _exec
pydev_imports.execfile(file, globals, locals) # execute the script
File "D:\PyCharm 2020.1\plugins\python\helpers\pydev_pydev_imps_pydev_execfile.py", line 18, in execfile
exec(compile(contents+"\n", file, 'exec'), glob, loc)
File "D:/PythonProject/OCGAN-Pytorch-master/train.py", line 523, in
main()
File "D:/PythonProject/OCGAN-Pytorch-master/train.py", line 191, in main
Tensor,epoch, use_cuda
File "D:/PythonProject/OCGAN-Pytorch-master/train.py", line 418, in train
loss_ae_all.backward()
File "D:\Anaconda3\lib\site-packages\torch\tensor.py", line 198, in backward
torch.autograd.backward(self, gradient, retain_graph, create_graph)
File "D:\Anaconda3\lib\site-packages\torch\autograd__init__.py", line 100, in backward
allow_unreachable=True) # allow_unreachable flag
sorry to see it today
The system we choose to reproduce the paper is the Ubuntu, I think you should choose windows;
If you want to do deep learning, why not use the Ubuntu system
raceback (most recent call last): File "D:\PyCharm 2020.1\plugins\python\helpers\pydev\pydevd.py", line 1438, in _exec pydev_imports.execfile(file, globals, locals) # execute the script File "D:\PyCharm 2020.1\plugins\python\helpers\pydev_pydev_imps_pydev_execfile.py", line 18, in execfile exec(compile(contents+"\n", file, 'exec'), glob, loc) File "D:/PythonProject/OCGAN-Pytorch-master/train.py", line 523, in
main()
File "D:/PythonProject/OCGAN-Pytorch-master/train.py", line 191, in main
Tensor,epoch, use_cuda
File "D:/PythonProject/OCGAN-Pytorch-master/train.py", line 418, in train
loss_ae_all.backward()
File "D:\Anaconda3\lib\site-packages\torch\tensor.py", line 198, in backward
torch.autograd.backward(self, gradient, retain_graph, create_graph)
File "D:\Anaconda3\lib\site-packages\torch\autograd__init__.py", line 100, in backward
allow_unreachable=True) # allow_unreachable flag