Where i try to test the model with a diferents weights of netG_epoch_4_1.pth It shows me the following error:
Traceback (most recent call last):
File "/content/drive/MyDrive/iSeeBetter/utils.py", line 19, in loadPreTrainedModel
model.load_state_dict(state_dict)
File "/usr/local/lib/python3.7/dist-packages/torch/nn/modules/module.py", line 845, in load_state_dict
self.class.name, "\n\t".join(error_msgs)))
RuntimeError: Error(s) in loading state_dict for Net:
Missing key(s) in state_dict: "feat0.conv.weight", "feat0.conv.bias", "feat0.act.weight", "feat1.conv.weight", "feat1.conv.bias", "feat1.act.weight", "DBPN.feat1.conv.weight", "DBPN.feat1.conv.bias", "DBPN.feat1.act.weight", "DBPN.up1.up_conv1.deconv.weight", "DBPN.up1.up_conv1.deconv.bias", "DBPN.up1.up_conv1.act.weight", "DBPN.up1.up_conv2.conv.weight", "DBPN.up1.up_conv2.conv.bias", "DBPN.up1.up_conv2.act.weight", "DBPN.up1.up_conv3.deconv.weight", ...
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "iSeeBetterTest.py", line 213, in
eval()
File "iSeeBetterTest.py", line 95, in eval
utils.loadPreTrainedModel(gpuMode=args.gpu_mode, model=model, modelPath=modelPath)
File "/content/drive/MyDrive/iSeeBetter/utils.py", line 32, in loadPreTrainedModel
model.load_state_dict(new_state_dict)
File "/usr/local/lib/python3.7/dist-packages/torch/nn/modules/module.py", line 845, in load_state_dict
self.class.name, "\n\t".join(error_msgs)))
RuntimeError: Error(s) in loading state_dict for Net:
Missing key(s) in state_dict: "feat0.conv.weight", "feat0.conv.bias", "feat0.act.weight", "feat1.conv.weight", "feat1.conv.bias", "feat1.act.weight", "DBPN.feat1.conv.weight", "DBPN.feat1.conv.bias", "DBPN.feat1.act.weight", "DBPN.up1.up_conv1.deconv.weight", "DBPN.up1.up_conv1.deconv.bias", "DBPN.up1.up_conv1.act.weight", "DBPN.up1.up_conv2.conv.weight", "DBPN.up1.up_conv2.conv.bias", "DBPN.up1.up_conv2.act.weight", "DBPN.up1.up_conv3.deconv.weight", "DBPN.up1.up_conv3.deconv.bias", "DBPN.up1.up_conv3.act.weight", "DBPN.down1.down_conv1.conv.weight", "DBPN.down1.down_conv1.conv.bias", "DBPN.down1.down_conv1.act.weight", "DBPN.down1.down_conv2.deconv.weight", "DBPN.down1.down_conv2.deconv.bias", "DBPN.down1.down_conv2.act.weight", "DBPN.down1.down_conv3.conv.weight", ...
Where i try to test the model with a diferents weights of netG_epoch_4_1.pth It shows me the following error:
Traceback (most recent call last):
File "/content/drive/MyDrive/iSeeBetter/utils.py", line 19, in loadPreTrainedModel
model.load_state_dict(state_dict)
File "/usr/local/lib/python3.7/dist-packages/torch/nn/modules/module.py", line 845, in load_state_dict
self.class.name, "\n\t".join(error_msgs)))
RuntimeError: Error(s) in loading state_dict for Net:
Missing key(s) in state_dict: "feat0.conv.weight", "feat0.conv.bias", "feat0.act.weight", "feat1.conv.weight", "feat1.conv.bias", "feat1.act.weight", "DBPN.feat1.conv.weight", "DBPN.feat1.conv.bias", "DBPN.feat1.act.weight", "DBPN.up1.up_conv1.deconv.weight", "DBPN.up1.up_conv1.deconv.bias", "DBPN.up1.up_conv1.act.weight", "DBPN.up1.up_conv2.conv.weight", "DBPN.up1.up_conv2.conv.bias", "DBPN.up1.up_conv2.act.weight", "DBPN.up1.up_conv3.deconv.weight", ...
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "iSeeBetterTest.py", line 213, in
eval()
File "iSeeBetterTest.py", line 95, in eval
utils.loadPreTrainedModel(gpuMode=args.gpu_mode, model=model, modelPath=modelPath)
File "/content/drive/MyDrive/iSeeBetter/utils.py", line 32, in loadPreTrainedModel
model.load_state_dict(new_state_dict)
File "/usr/local/lib/python3.7/dist-packages/torch/nn/modules/module.py", line 845, in load_state_dict
self.class.name, "\n\t".join(error_msgs)))
RuntimeError: Error(s) in loading state_dict for Net:
Missing key(s) in state_dict: "feat0.conv.weight", "feat0.conv.bias", "feat0.act.weight", "feat1.conv.weight", "feat1.conv.bias", "feat1.act.weight", "DBPN.feat1.conv.weight", "DBPN.feat1.conv.bias", "DBPN.feat1.act.weight", "DBPN.up1.up_conv1.deconv.weight", "DBPN.up1.up_conv1.deconv.bias", "DBPN.up1.up_conv1.act.weight", "DBPN.up1.up_conv2.conv.weight", "DBPN.up1.up_conv2.conv.bias", "DBPN.up1.up_conv2.act.weight", "DBPN.up1.up_conv3.deconv.weight", "DBPN.up1.up_conv3.deconv.bias", "DBPN.up1.up_conv3.act.weight", "DBPN.down1.down_conv1.conv.weight", "DBPN.down1.down_conv1.conv.bias", "DBPN.down1.down_conv1.act.weight", "DBPN.down1.down_conv2.deconv.weight", "DBPN.down1.down_conv2.deconv.bias", "DBPN.down1.down_conv2.act.weight", "DBPN.down1.down_conv3.conv.weight", ...