I am running the training with the provided commands. When I try running pruning, I get the following error. I didnt change any of the code
Traceback (most recent call last): File "C:\Users\canke\OneDrive\Desktop\acdnet\torch\pruning.py", line 84, in <module> wpt.PruneAndTrain(); File "C:\Users\canke\OneDrive\Desktop\acdnet\torch\pruning\weight_pruning.py", line 70, in PruneAndTrain val_acc, val_loss = self.__validate(net, loss_func); File "C:\Users\canke\OneDrive\Desktop\acdnet\torch\pruning\weight_pruning.py", line 158, in __validate scores = net(x); File "C:\Users\canke\miniconda3\envs\acdnet\lib\site-packages\torch\nn\modules\module.py", line 1102, in _call_impl return forward_call(*input, **kwargs) File "C:\Users\canke\OneDrive\Desktop\acdnet\torch\resources\models.py", line 92, in forward x = self.tfeb(x); File "C:\Users\canke\miniconda3\envs\acdnet\lib\site-packages\torch\nn\modules\module.py", line 1102, in _call_impl return forward_call(*input, **kwargs) File "C:\Users\canke\miniconda3\envs\acdnet\lib\site-packages\torch\nn\modules\container.py", line 141, in forward input = module(input) File "C:\Users\canke\miniconda3\envs\acdnet\lib\site-packages\torch\nn\modules\module.py", line 1102, in _call_impl return forward_call(*input, **kwargs) File "C:\Users\canke\miniconda3\envs\acdnet\lib\site-packages\torch\nn\modules\linear.py", line 103, in forward return F.linear(input, self.weight, self.bias) File "C:\Users\canke\miniconda3\envs\acdnet\lib\site-packages\torch\nn\functional.py", line 1848, in linear return torch._C._nn.linear(input, weight, bias) RuntimeError: mat1 and mat2 shapes cannot be multiplied (60x100 and 50x50)
I am running the training with the provided commands. When I try running pruning, I get the following error. I didnt change any of the code
Traceback (most recent call last): File "C:\Users\canke\OneDrive\Desktop\acdnet\torch\pruning.py", line 84, in <module> wpt.PruneAndTrain(); File "C:\Users\canke\OneDrive\Desktop\acdnet\torch\pruning\weight_pruning.py", line 70, in PruneAndTrain val_acc, val_loss = self.__validate(net, loss_func); File "C:\Users\canke\OneDrive\Desktop\acdnet\torch\pruning\weight_pruning.py", line 158, in __validate scores = net(x); File "C:\Users\canke\miniconda3\envs\acdnet\lib\site-packages\torch\nn\modules\module.py", line 1102, in _call_impl return forward_call(*input, **kwargs) File "C:\Users\canke\OneDrive\Desktop\acdnet\torch\resources\models.py", line 92, in forward x = self.tfeb(x); File "C:\Users\canke\miniconda3\envs\acdnet\lib\site-packages\torch\nn\modules\module.py", line 1102, in _call_impl return forward_call(*input, **kwargs) File "C:\Users\canke\miniconda3\envs\acdnet\lib\site-packages\torch\nn\modules\container.py", line 141, in forward input = module(input) File "C:\Users\canke\miniconda3\envs\acdnet\lib\site-packages\torch\nn\modules\module.py", line 1102, in _call_impl return forward_call(*input, **kwargs) File "C:\Users\canke\miniconda3\envs\acdnet\lib\site-packages\torch\nn\modules\linear.py", line 103, in forward return F.linear(input, self.weight, self.bias) File "C:\Users\canke\miniconda3\envs\acdnet\lib\site-packages\torch\nn\functional.py", line 1848, in linear return torch._C._nn.linear(input, weight, bias) RuntimeError: mat1 and mat2 shapes cannot be multiplied (60x100 and 50x50)