I am trying to test the test.py script from this project. I have downloaded the bash script from the original authors github and got the pth and t7 data.
Hayao_net_G_float.pth
Hayao_net_G_float.t7
What should I insert for testing
parser.add_argument('--pre_trained_model', required=False, default='./pretrained_model/Hayao_net_G_float.pth', help='pre_trained cartoongan model path')
I got the following error
G.load_state_dict(torch.load(args.pre_trained_model))
File "/home/bfu_local/anaconda3/envs/fastai/lib/python3.6/site-packages/torch/nn/modules/module.py", line 769, in load_state_dict
self.class.name, "\n\t".join(error_msgs)))
RuntimeError: Error(s) in loading state_dict for generator:
Missing key(s) in state_dict: "down_convs.0.weight", "down_convs.0.bias", "down_convs.3.weight", "down_convs.3.bias", "down_convs.4.weight", "down_convs.4.bias", "down_convs.7.weight", "down_convs.7.bias", "down_convs.8.weight", "down_convs.8.bias", "resnet_blocks.0.conv1.weight", "resnet_blocks.0.conv1.bias", "resnet_blocks.0.conv2.weight", "resnet_blocks.0.conv2.bias", "resnet_blocks.1.conv1.weight", "resnet_blocks.1.conv1.bias", "resnet_blocks.1.conv2.weight", "resnet_blocks.1.conv2.bias", "resnet_blocks.2.conv1.weight", "resnet_blocks.2.conv1.bias", "resnet_blocks.2.conv2.weight", "resnet_blocks.2.conv2.bias", "resnet_blocks.3.conv1.weight", "resnet_blocks.3.conv1.bias", "resnet_blocks.3.conv2.weight", "resnet_blocks.3.conv2.bias", "resnet_blocks.4.conv1.weight", "resnet_blocks.4.conv1.bias", "resnet_blocks.4.conv2.weight", "resnet_blocks.4.conv2.bias", "resnet_blocks.5.conv1.weight", "resnet_blocks.5.conv1.bias", "resnet_blocks.5.conv2.weight", "resnet_blocks.5.conv2.bias", "resnet_blocks.6.conv1.weight", "resnet_blocks.6.conv1.bias", "resnet_blocks.6.conv2.weight", "resnet_blocks.6.conv2.bias", "resnet_blocks.7.conv1.weight", "resnet_blocks.7.conv1.bias", "resnet_blocks.7.conv2.weight", "resnet_blocks.7.conv2.bias", "up_convs.0.weight", "up_convs.0.bias", "up_convs.1.weight", "up_convs.1.bias", "up_convs.4.weight", "up_convs.4.bias", "up_convs.5.weight", "up_convs.5.bias", "up_convs.8.weight", "up_convs.8.bias".
Unexpected key(s) in state_dict: "conv01_1.weight", "conv01_1.bias", "in01_1.scale", "in01_1.shift", "conv02_1.weight", "conv02_1.bias", "conv02_2.weight", "conv02_2.bias", "in02_1.scale", "in02_1.shift", "conv03_1.weight", "conv03_1.bias", "conv03_2.weight", "conv03_2.bias", "in03_1.scale", "in03_1.shift", "conv04_1.weight", "conv04_1.bias", "in04_1.scale", "in04_1.shift", "conv04_2.weight", "conv04_2.bias", "in04_2.scale", "in04_2.shift", "conv05_1.weight", "conv05_1.bias", "in05_1.scale", "in05_1.shift", "conv05_2.weight", "conv05_2.bias", "in05_2.scale", "in05_2.shift", "conv06_1.weight", "conv06_1.bias", "in06_1.scale", "in06_1.shift", "conv06_2.weight", "conv06_2.bias", "in06_2.scale", "in06_2.shift", "conv07_1.weight", "conv07_1.bias", "in07_1.scale", "in07_1.shift", "conv07_2.weight", "conv07_2.bias", "in07_2.scale", "in07_2.shift", "conv08_1.weight", "conv08_1.bias", "in08_1.scale", "in08_1.shift", "conv08_2.weight", "conv08_2.bias", "in08_2.scale", "in08_2.shift", "conv09_1.weight", "conv09_1.bias", "in09_1.scale", "in09_1.shift", "conv09_2.weight", "conv09_2.bias", "in09_2.scale", "in09_2.shift", "conv10_1.weight", "conv10_1.bias", "in10_1.scale", "in10_1.shift", "conv10_2.weight", "conv10_2.bias", "in10_2.scale", "in10_2.shift", "conv11_1.weight", "conv11_1.bias", "in11_1.scale", "in11_1.shift", "conv11_2.weight", "conv11_2.bias", "in11_2.scale", "in11_2.shift", "deconv01_1.weight", "deconv01_1.bias", "deconv01_2.weight", "deconv01_2.bias", "in12_1.scale", "in12_1.shift", "deconv02_1.weight", "deconv02_1.bias", "deconv02_2.weight", "deconv02_2.bias", "in13_1.scale", "in13_1.shift", "deconv03_1.weight", "deconv03_1.bias".
Thanks a lot for your help.
Best regards!