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Hello, this paper is really good, but I made a mistake when I resurfaced face_prev. I checked a lot of information, but I couldn't solve it. I don't know how to do it, I hope to get help.
Reproduce according to the requirements, the version of python is 2.7, the version of pytorch is 0.1.12, conda 8.0, cudnn 5.1; there is an error when running:
Loading json file is done...
Total training images: 3148
Loading json file is done...
Total validation images: 689
<class 'torch.optim.rmsprop.RMSprop'>
0.00025
Train ia stare ..................
Traceback (most recent call last):
File "cu-net-face-prev-version.py", line 298, in
Main()
File "cu-net-face-prev-version.py", line 129, in main
Train_loss, train_rmse = train(train_loader, net, optimizer, epoch, visualizer, opt)
File "cu-net-face-prev-version.py", line 177, in train
Output = net(img_var)
File "/share/anaconda2/envs/pytorch0.1.2/lib/python2.7/site-packages/torch/nn/modules/module.py", line 206, in call
Result = self.forward(*input, **kwargs)
File "/share/anaconda2/envs/pytorch0.1.2/lib/python2.7/site-packages/torch/nn/parallel/data_parallel.py", line 61, in forward
Outputs = self.parallel_apply(replicas, inputs, kwargs)
File "/share/anaconda2/envs/pytorch0.1.2/lib/python2.7/site-packages/torch/nn/parallel/data_parallel.py", line 71, in parallel_apply
Return parallel_apply(replicas, inputs, kwargs)
File "/share/anaconda2/envs/pytorch0.1.2/lib/python2.7/site-packages/torch/nn/parallel/parallel_apply.py", line 46, in parallel_apply
Raise output
AttributeError: 'module' object has no attribute '_cudnn_batch_norm_forward'
The text was updated successfully, but these errors were encountered:
Hello, this paper is really good, but I made a mistake when I resurfaced face_prev. I checked a lot of information, but I couldn't solve it. I don't know how to do it, I hope to get help.
Reproduce according to the requirements, the version of python is 2.7, the version of pytorch is 0.1.12, conda 8.0, cudnn 5.1; there is an error when running:
Loading json file is done...
Total training images: 3148
Loading json file is done...
Total validation images: 689
<class 'torch.optim.rmsprop.RMSprop'>
0.00025
Train ia stare ..................
Traceback (most recent call last):
File "cu-net-face-prev-version.py", line 298, in
Main()
File "cu-net-face-prev-version.py", line 129, in main
Train_loss, train_rmse = train(train_loader, net, optimizer, epoch, visualizer, opt)
File "cu-net-face-prev-version.py", line 177, in train
Output = net(img_var)
File "/share/anaconda2/envs/pytorch0.1.2/lib/python2.7/site-packages/torch/nn/modules/module.py", line 206, in call
Result = self.forward(*input, **kwargs)
File "/share/anaconda2/envs/pytorch0.1.2/lib/python2.7/site-packages/torch/nn/parallel/data_parallel.py", line 61, in forward
Outputs = self.parallel_apply(replicas, inputs, kwargs)
File "/share/anaconda2/envs/pytorch0.1.2/lib/python2.7/site-packages/torch/nn/parallel/data_parallel.py", line 71, in parallel_apply
Return parallel_apply(replicas, inputs, kwargs)
File "/share/anaconda2/envs/pytorch0.1.2/lib/python2.7/site-packages/torch/nn/parallel/parallel_apply.py", line 46, in parallel_apply
Raise output
AttributeError: 'module' object has no attribute '_cudnn_batch_norm_forward'
Hello, this paper is really good, but I made a mistake when I resurfaced face_prev. I checked a lot of information, but I couldn't solve it. I don't know how to do it, I hope to get help.
Reproduce according to the requirements, the version of python is 2.7, the version of pytorch is 0.1.12, conda 8.0, cudnn 5.1; there is an error when running:
Loading json file is done...
Total training images: 3148
Loading json file is done...
Total validation images: 689
<class 'torch.optim.rmsprop.RMSprop'>
0.00025
Train ia stare ..................
Traceback (most recent call last):
File "cu-net-face-prev-version.py", line 298, in
Main()
File "cu-net-face-prev-version.py", line 129, in main
Train_loss, train_rmse = train(train_loader, net, optimizer, epoch, visualizer, opt)
File "cu-net-face-prev-version.py", line 177, in train
Output = net(img_var)
File "/share/anaconda2/envs/pytorch0.1.2/lib/python2.7/site-packages/torch/nn/modules/module.py", line 206, in call
Result = self.forward(*input, **kwargs)
File "/share/anaconda2/envs/pytorch0.1.2/lib/python2.7/site-packages/torch/nn/parallel/data_parallel.py", line 61, in forward
Outputs = self.parallel_apply(replicas, inputs, kwargs)
File "/share/anaconda2/envs/pytorch0.1.2/lib/python2.7/site-packages/torch/nn/parallel/data_parallel.py", line 71, in parallel_apply
Return parallel_apply(replicas, inputs, kwargs)
File "/share/anaconda2/envs/pytorch0.1.2/lib/python2.7/site-packages/torch/nn/parallel/parallel_apply.py", line 46, in parallel_apply
Raise output
AttributeError: 'module' object has no attribute '_cudnn_batch_norm_forward'
The text was updated successfully, but these errors were encountered: