unexpected key in source state_dict: fc.weight, fc.bias

[ma3252788]

When I used the D2Det_detection_r101_fpn_dcn_2x configuration file, there was the following error:

2020-09-24 15:18:39,295 - mmdet - INFO - load model from: torchvision://resnet101
2020-09-24 15:18:39,669 - mmdet - WARNING - The model and loaded state dict do not match exactly

unexpected key in source state_dict: fc.weight, fc.bias

missing keys in source state_dict: layer2.0.conv2.conv_offset.weight, layer2.0.conv2.conv_offset.bias, layer2.1.conv2.conv_offset.weight, layer2.1.conv2.conv_offset.bias, layer2.2.conv2.conv_offset.weight, layer2.2.conv2.conv_offset.bias, layer2.3.conv2.conv_offset.weight, layer2.3.conv2.conv_offset.bias, layer3.0.conv2.conv_offset.weight, layer3.0.conv2.conv_offset.bias, layer3.1.conv2.conv_offset.weight, layer3.1.conv2.conv_offset.bias, layer3.2.conv2.conv_offset.weight, layer3.2.conv2.conv_offset.bias, layer3.3.conv2.conv_offset.weight, layer3.3.conv2.conv_offset.bias, layer3.4.conv2.conv_offset.weight, layer3.4.conv2.conv_offset.bias, layer3.5.conv2.conv_offset.weight, layer3.5.conv2.conv_offset.bias, layer3.6.conv2.conv_offset.weight, layer3.6.conv2.conv_offset.bias, layer3.7.conv2.conv_offset.weight, layer3.7.conv2.conv_offset.bias, layer3.8.conv2.conv_offset.weight, layer3.8.conv2.conv_offset.bias, layer3.9.conv2.conv_offset.weight, layer3.9.conv2.conv_offset.bias, layer3.10.conv2.conv_offset.weight, layer3.10.conv2.conv_offset.bias, layer3.11.conv2.conv_offset.weight, layer3.11.conv2.conv_offset.bias, layer3.12.conv2.conv_offset.weight, layer3.12.conv2.conv_offset.bias, layer3.13.conv2.conv_offset.weight, layer3.13.conv2.conv_offset.bias, layer3.14.conv2.conv_offset.weight, layer3.14.conv2.conv_offset.bias, layer3.15.conv2.conv_offset.weight, layer3.15.conv2.conv_offset.bias, layer3.16.conv2.conv_offset.weight, layer3.16.conv2.conv_offset.bias, layer3.17.conv2.conv_offset.weight, layer3.17.conv2.conv_offset.bias, layer3.18.conv2.conv_offset.weight, layer3.18.conv2.conv_offset.bias, layer3.19.conv2.conv_offset.weight, layer3.19.conv2.conv_offset.bias, layer3.20.conv2.conv_offset.weight, layer3.20.conv2.conv_offset.bias, layer3.21.conv2.conv_offset.weight, layer3.21.conv2.conv_offset.bias, layer3.22.conv2.conv_offset.weight, layer3.22.conv2.conv_offset.bias, layer4.0.conv2.conv_offset.weight, layer4.0.conv2.conv_offset.bias, layer4.1.conv2.conv_offset.weight, layer4.1.conv2.conv_offset.bias, layer4.2.conv2.conv_offset.weight, layer4.2.conv2.conv_offset.bias

Is it a problem of network structure?

[JialeCao001]

@ma3252788 Hi. I think it is okay for training.