Closed YSL0226 closed 3 years ago
I trained a model from official cyclegan github. However, I run train_supernet.sh with the trained model, I got the following loading error. Is it possible to use official cyclegan model in train_supernet.sh?
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.11.conv_block.5.weight", "model.11.conv_block.5.bias", "model.12.conv_block.5.weight", "model.12.conv_block.5.bias", "model.13.conv_block.5.weight", "model.13.conv_block.5.bias", "model.14.conv_block.5.weight", "model.14.conv_block.5.bias", "model.15.conv_block.5.weight", "model.15.conv_block.5.bias", "model.16.conv_block.5.weight", "model.16.conv_block.5.bias", "model.17.conv_block.5.weight", "model.17.conv_block.5.bias", "model.18.conv_block.5.weight", "model.18.conv_block.5.bias"
Maybe you could refer to #54. I think that solution could work.
Thank you for your solution. Yes, after remove dropout in ResnetBlock, it work well. Thank you
I trained a model from official cyclegan github. However, I run train_supernet.sh with the trained model, I got the following loading error. Is it possible to use official cyclegan model in train_supernet.sh?
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.11.conv_block.5.weight", "model.11.conv_block.5.bias", "model.12.conv_block.5.weight", "model.12.conv_block.5.bias", "model.13.conv_block.5.weight", "model.13.conv_block.5.bias", "model.14.conv_block.5.weight", "model.14.conv_block.5.bias", "model.15.conv_block.5.weight", "model.15.conv_block.5.bias", "model.16.conv_block.5.weight", "model.16.conv_block.5.bias", "model.17.conv_block.5.weight", "model.17.conv_block.5.bias", "model.18.conv_block.5.weight", "model.18.conv_block.5.bias"