Runtime error while testing

[SHASHANKANIVILLA-18006]

RuntimeError: Error(s) in loading state_dict for Generator:
Missing key(s) in state_dict: "encoder1.conv.weight", "encoder2.conv.weight", "encoder2.norm.weight", "encoder2.norm.bias", "encoder2.norm.running_mean", "encoder2.norm.running_var", "encoder3.conv.weight", "encoder3.norm.weight", "encoder3.norm.bias", "encoder3.norm.running_mean", "encoder3.norm.running_var", "encoder4.conv.weight", "encoder4.norm.weight", "encoder4.norm.bias", "encoder4.norm.running_mean", "encoder4.norm.running_var", "encoder5.conv.weight", "encoder5.norm.weight", "encoder5.norm.bias", "encoder5.norm.running_mean", "encoder5.norm.running_var", "encoder6.conv.weight", "encoder6.norm.weight", "encoder6.norm.bias", "encoder6.norm.running_mean", "encoder6.norm.running_var", "encoder7.conv.weight", "encoder7.norm.weight", "encoder7.norm.bias", "encoder7.norm.running_mean", "encoder7.norm.running_var", "encoder8.conv.weight", "decoder1.convT.weight", "decoder1.norm.weight", "decoder1.norm.bias", "decoder1.norm.running_mean", "decoder1.norm.running_var", "decoder2.convT.weight", "decoder2.norm.weight", "decoder2.norm.bias", "decoder2.norm.running_mean", "decoder2.norm.running_var", "decoder3.convT.weight", "decoder3.norm.weight", "decoder3.norm.bias", "decoder3.norm.running_mean", "decoder3.norm.running_var", "decoder4.convT.weight", "decoder4.norm.weight", "decoder4.norm.bias", "decoder4.norm.running_mean", "decoder4.norm.running_var", "decoder5.convT.weight", "decoder5.norm.weight", "decoder5.norm.bias", "decoder5.norm.running_mean", "decoder5.norm.running_var", "decoder6.convT.weight", "decoder6.norm.weight", "decoder6.norm.bias", "decoder6.norm.running_mean", "decoder6.norm.running_var", "decoder7.convT.weight", "decoder7.norm.weight", "decoder7.norm.bias", "decoder7.norm.running_mean", "decoder7.norm.running_var", "decoder8.convT.weight".
Unexpected key(s) in state_dict: "model.1.weight", "model.1.bias", "model.4.weight", "model.4.bias", "model.7.weight", "model.7.bias", "model.10.conv_block.1.weight", "model.10.conv_block.1.bias", "model.10.conv_block.5.weight", "model.10.conv_block.5.bias", "model.11.conv_block.1.weight", "model.11.conv_block.1.bias", "model.11.conv_block.5.weight", "model.11.conv_block.5.bias", "model.12.conv_block.1.weight", "model.12.conv_block.1.bias", "model.12.conv_block.5.weight", "model.12.conv_block.5.bias", "model.13.conv_block.1.weight", "model.13.conv_block.1.bias", "model.13.conv_block.5.weight", "model.13.conv_block.5.bias", "model.14.conv_block.1.weight", "model.14.conv_block.1.bias", "model.14.conv_block.5.weight", "model.14.conv_block.5.bias", "model.15.conv_block.1.weight", "model.15.conv_block.1.bias", "model.15.conv_block.5.weight", "model.15.conv_block.5.bias", "model.16.conv_block.1.weight", "model.16.conv_block.1.bias", "model.16.conv_block.5.weight", "model.16.conv_block.5.bias", "model.17.conv_block.1.weight", "model.17.conv_block.1.bias", "model.17.conv_block.5.weight", "model.17.conv_block.5.bias", "model.18.conv_block.1.weight", "model.18.conv_block.1.bias", "model.18.conv_block.5.weight", "model.18.conv_block.5.bias", "model.19.weight", "model.19.bias", "model.22.weight", "model.22.bias", "model.26.weight", "model.26.bias".