Error with pretrained model

[ZeeshanNadir]

Running the code without making any change gives following error:

RuntimeError: Error(s) in loading state_dict for DataParallel:
Missing key(s) in state_dict: "module.down7.conv.conv.weight", "module.down7.conv.conv.bias", "module.down7.conv.act.weight", "module.down7.down_conv1.conv.weight", "module.down7.down_conv1.conv.bias", "module.down7.down_conv1.act.weight", "module.down7.down_conv2.deconv.weight", "module.down7.down_conv2.deconv.bias", "module.down7.down_conv2.act.weight", "module.down7.down_conv3.conv.weight", "module.down7.down_conv3.conv.bias", "module.down7.down_conv3.act.weight", "module.up8.conv.conv.weight", "module.up8.conv.conv.bias", "module.up8.conv.act.weight", "module.up8.up_conv1.deconv.weight", "module.up8.up_conv1.deconv.bias", "module.up8.up_conv1.act.weight", "module.up8.up_conv2.conv.weight", "module.up8.up_conv2.conv.bias", "module.up8.up_conv2.act.weight", "module.up8.up_conv3.deconv.weight", "module.up8.up_conv3.deconv.bias", "module.up8.up_conv3.act.weight", "module.down8.conv.conv.weight", "module.down8.conv.conv.bias", "module.down8.conv.act.weight", "module.down8.down_conv1.conv.weight", "module.down8.down_conv1.conv.bias", "module.down8.down_conv1.act.weight", "module.down8.down_conv2.deconv.weight", "module.down8.down_conv2.deconv.bias", "module.down8.down_conv2.act.weight", "module.down8.down_conv3.conv.weight", "module.down8.down_conv3.conv.bias", "module.down8.down_conv3.act.weight", "module.up9.conv.conv.weight", "module.up9.conv.conv.bias", "module.up9.conv.act.weight", "module.up9.up_conv1.deconv.weight", "module.up9.up_conv1.deconv.bias", "module.up9.up_conv1.act.weight", "module.up9.up_conv2.conv.weight", "module.up9.up_conv2.conv.bias", "module.up9.up_conv2.act.weight", "module.up9.up_conv3.deconv.weight", "module.up9.up_conv3.deconv.bias", "module.up9.up_conv3.act.weight", "module.down9.conv.conv.weight", "module.down9.conv.conv.bias", "module.down9.conv.act.weight", "module.down9.down_conv1.conv.weight", "module.down9.down_conv1.conv.bias", "module.down9.down_conv1.act.weight", "module.down9.down_conv2.deconv.weight", "module.down9.down_conv2.deconv.bias", "module.down9.down_conv2.act.weight", "module.down9.down_conv3.conv.weight", "module.down9.down_conv3.conv.bias", "module.down9.down_conv3.act.weight", "module.up10.conv.conv.weight", "module.up10.conv.conv.bias", "module.up10.conv.act.weight", "module.up10.up_conv1.deconv.weight", "module.up10.up_conv1.deconv.bias", "module.up10.up_conv1.act.weight", "module.up10.up_conv2.conv.weight", "module.up10.up_conv2.conv.bias", "module.up10.up_conv2.act.weight", "module.up10.up_conv3.deconv.weight", "module.up10.up_conv3.deconv.bias", "module.up10.up_conv3.act.weight".
size mismatch for module.output_conv.conv.weight: copying a param with shape torch.Size([3, 448, 3, 3]) from checkpoint, the shape in current model is torch.Size([3, 640, 3, 3]).

Had to change model_type to DBPN on line number 34 and line number 36.