Error(s) in loading state_dict for ResnetGenerator:

[zychen2016]

When I test pretrained model apple2orange,This error occurred.

`RuntimeError: Error(s) in loading state_dict for ResnetGenerator:
Missing key(s) in state_dict: "model.10.conv_block.6.weight", "model.10.conv_block.6.bias", "model.11.conv_block.6.weight", "model.11.conv_block.6.bias", "model.12.conv_block.6.weight", "model.12.conv_block.6.bias", "model.13.conv_block.6.weight", "model.13.conv_block.6.bias", "model.14.conv_block.6.weight", "model.14.conv_block.6.bias", "model.15.conv_block.6.weight", "model.15.conv_block.6.bias", "model.16.conv_block.6.weight", "model.16.conv_block.6.bias", "model.17.conv_block.6.weight", "model.17.conv_block.6.bias", "model.18.conv_block.6.weight", "model.18.conv_block.6.bias".
Unexpected key(s) in state_dict: "model.10.conv_block.5.weight", "model.10.conv_block.5.bias", "model.10.conv_block.6.running_mean", "model.10.conv_block.6.running_var", "model.10.conv_block.6.num_batches_tracked", "model.11.conv_block.5.weight", "model.11.conv_block.5.bias", "model.11.conv_block.6.running_mean", "model.11.conv_block.6.running_var", "model.11.conv_block.6.num_batches_tracked", "model.12.conv_block.5.weight", "model.12.conv_block.5.bias", "model.12.conv_block.6.running_mean", "model.12.conv_block.6.running_var", "model.12.conv_block.6.num_batches_tracked", "model.13.conv_block.5.weight", "model.13.conv_block.5.bias", "model.13.conv_block.6.running_mean", "model.13.conv_block.6.running_var", "model.13.conv_block.6.num_batches_tracked", "model.14.conv_block.5.weight", "model.14.conv_block.5.bias", "model.14.conv_block.6.running_mean", "model.14.conv_block.6.running_var", "model.14.conv_block.6.num_batches_tracked", "model.15.conv_block.5.weight", "model.15.conv_block.5.bias", "model.15.conv_block.6.running_mean", "model.15.conv_block.6.running_var", "model.15.conv_block.6.num_batches_tracked", "model.16.conv_block.5.weight", "model.16.conv_block.5.bias", "model.16.conv_block.6.running_mean", "model.16.conv_block.6.running_var", "model.16.conv_block.6.num_batches_tracked", "model.17.conv_block.5.weight", "model.17.conv_block.5.bias", "model.17.conv_block.6.running_mean", "model.17.conv_block.6.running_var", "model.17.conv_block.6.num_batches_tracked", "model.18.conv_block.5.weight", "model.18.conv_block.5.bias", "model.18.conv_block.6.running_mean", "model.18.conv_block.6.running_var", "model.18.conv_block.6.num_batches_tracked".

`
pytorch version is 0.4.1.
python version is 3.5

python3 ./test.py --dataroot /data2/CZY/data/cyclegan/cyclegan_pytorch/data/apple2orange/testA --name apple2orange_pretrained --model test

[ArunPidugu]

Having the same problem (using a model generated after 5 epochs)

[junyanz]

Could you add --no_dropout? Make sure that you use the same --netG and --norm option during training and test.