load pretrained model, there are errors. RuntimeError: Error(s) in loading state_dict for ConvNeXt: Missing key(s) in state_dict

[xiaopanchen]

RuntimeError: Error(s) in loading state_dict for ConvNeXt:
Missing key(s) in state_dict: "stem.0.weight", "stem.0.bias", "stem.1.weight", "stem.1.bias", "stages.0.blocks.0.gamma", "stages.0.blocks.0.conv_dw.weight", "stages.0.blocks.0.conv_dw.bias", "stages.0.blocks.0.norm.weight", "stages.0.blocks.0.norm.bias", "stages.0.blocks.0.mlp.fc1.weight", "stages.0.blocks.0.mlp.fc1.bias", "stages.0.blocks.0.mlp.fc2.weight", "stages.0.blocks.0.mlp.fc2.bias", "stages.0.blocks.1.gamma", "stages.0.blocks.1.conv_dw.weight", "stages.0.blocks.1.conv_dw.bias", "stages.0.blocks.1.norm.weight", "stages.0.blocks.1.norm.bias", "stages.0.blocks.1.mlp.fc1.weight", "stages.0.blocks.1.mlp.fc1.bias", "stages.0.blocks.1.mlp.fc2.weight", "stages.0.blocks.1.mlp.fc2.bias", "stages.0.blocks.2.gamma", "stages.0.blocks.2.conv_dw.weight", "stages.0.blocks.2.conv_dw.bias", "stages.0.blocks.2.norm.weight", "stages.0.blocks.2.norm.bias", "stages.0.blocks.2.mlp.fc1.weight", "stages.0.blocks.2.mlp.fc1.bias", "stages.0.blocks.2.mlp.fc2.weight", "stages.0.blocks.2.mlp.fc2.bias", "stages.1.downsample.0.weight", "stages.1.downsample.0.bias", "stages.1.downsample.1.weight", "stages.1.downsample.1.bias", "stages.1.blocks.0.gamma", "stages.1.blocks.0.conv_dw.weight", "stages.1.blocks.0.conv_dw.bias", "stages.1.blocks.0.norm.weight", "stages.1.blocks.0.norm.bias", "stages.1.blocks.0.mlp.fc1.weight", "stages.1.blocks.0.mlp.fc1.bias", "stages.1.blocks.0.mlp.fc2.weight", "stages.1.blocks.0.mlp.fc2.bias", "stages.1.blocks.1.gamma", "stages.1.blocks.1.conv_dw.weight", "stages.1.blocks.1.conv_dw.bias", "stages.1.blocks.1.norm.weight", "stages.1.blocks.1.norm.bias", "stages.1.blocks.1.mlp.fc1.weight", "stages.1.blocks.1.mlp.fc1.bias", "stages.1.blocks.1.mlp.fc2.weight", "stages.1.blocks.1.mlp.fc2.bias", "stages.1.blocks.2.gamma", "stages.1.blocks.2.conv_dw.weight", "stages.1.blocks.2.conv_dw.bias", "stages.1.blocks.2.norm.weight", "stages.1.blocks.2.norm.bias", "stages.1.blocks.2.mlp.fc1.weight", "stages.1.blocks.2.mlp.fc1.bias", "stages.1.blocks.2.mlp.fc2.weight", "stages.1.blocks.2.mlp.fc2.bias", "stages.2.downsample.0.weight", "stages.2.downsample.0.bias", "stages.2.downsample.1.weight", "stages.2.downsample.1.bias", "stages.2.blocks.0.gamma", "stages.2.blocks.0.conv_dw.weight", "stages.2.blocks.0.conv_dw.bias", "stages.2.blocks.0.norm.weight", "stages.2.blocks.0.norm.bias", "stages.2.blocks.0.mlp.fc1.weight", "stages.2.blocks.0.mlp.fc1.bias", "stages.2.blocks.0.mlp.fc2.weight", "stages.2.blocks.0.mlp.fc2.bias", "stages.2.blocks.1.gamma", "stages.2.blocks.1.conv_dw.weight", "stages.2.blocks.1.conv_dw.bias", "stages.2.blocks.1.norm.weight", "stages.2.blocks.1.norm.bias", "stages.2.blocks.1.mlp.fc1.weight", "stages.2.blocks.1.mlp.fc1.bias", "stages.2.blocks.1.mlp.fc2.weight", "stages.2.blocks.1.mlp.fc2.bias", "stages.2.blocks.2.gamma", "stages.2.blocks.2.conv_dw.weight", "stages.2.blocks.2.conv_dw.bias", "stages.2.blocks.2.norm.weight", "stages.2.blocks.2.norm.bias", "stages.2.blocks.2.mlp.fc1.weight", "stages.2.blocks.2.mlp.fc1.bias", "stages.2.blocks.2.mlp.fc2.weight", "stages.2.blocks.2.mlp.fc2.bias", "stages.2.blocks.3.gamma", "stages.2.blocks.3.conv_dw.weight", "stages.2.blocks.3.conv_dw.bias", "stages.2.blocks.3.norm.weight", "stages.2.blocks.3.norm.bias", "stages.2.blocks.3.mlp.fc1.weight", "stages.2.blocks.3.mlp.fc1.bias", "stages.2.blocks.3.mlp.fc2.weight", "stages.2.blocks.3.mlp.fc2.bias", "stages.2.blocks.4.gamma", "stages.2.blocks.4.conv_dw.weight", "stages.2.blocks.4.conv_dw.bias", "stages.2.blocks.4.norm.weight", "stages.2.blocks.4.norm.bias", "stages.2.blocks.4.mlp.fc1.weight", "stages.2.blocks.4.mlp.fc1.bias", "stages.2.blocks.4.mlp.fc2.weight", "stages.2.blocks.4.mlp.fc2.bias", "stages.2.blocks.5.gamma", "stages.2.blocks.5.conv_dw.weight", "stages.2.blocks.5.conv_dw.bias", "stages.2.blocks.5.norm.weight", "stages.2.blocks.5.norm.bias", "stages.2.blocks.5.mlp.fc1.weight", "stages.2.blocks.5.mlp.fc1.bias", "stages.2.blocks.5.mlp.fc2.weight", "stages.2.blocks.5.mlp.fc2.bias", "stages.2.blocks.6.gamma", "stages.2.blocks.6.conv_dw.weight", "stages.2.blocks.6.conv_dw.bias", "stages.2.blocks.6.norm.weight", "stages.2.blocks.6.norm.bias", "stages.2.blocks.6.mlp.fc1.weight", "stages.2.blocks.6.mlp.fc1.bias", "stages.2.blocks.6.mlp.fc2.weight", "stages.2.blocks.6.mlp.fc2.bias", "stages.2.blocks.7.gamma", "stages.2.blocks.7.conv_dw.weight", "stages.2.blocks.7.conv_dw.bias", "stages.2.blocks.7.norm.weight", "stages.2.blocks.7.norm.bias", "stages.2.blocks.7.mlp.fc1.weight", "stages.2.blocks.7.mlp.fc1.bias", "stages.2.blocks.7.mlp.fc2.weight", "stages.2.blocks.7.mlp.fc2.bias", "stages.2.blocks.8.gamma", "stages.2.blocks.8.conv_dw.weight", "stages.2.blocks.8.conv_dw.bias", "stages.2.blocks.8.norm.weight", "stages.2.blocks.8.norm.bias", "stages.2.blocks.8.mlp.fc1.weight", "stages.2.blocks.8.mlp.fc1.bias", "stages.2.blocks.8.mlp.fc2.weight", "stages.2.blocks.8.mlp.fc2.bias", "stages.2.blocks.9.gamma", "stages.2.blocks.9.conv_dw.weight", "stages.2.blocks.9.conv_dw.bias", "stages.2.blocks.9.norm.weight", "stages.2.blocks.9.norm.bias", "stages.2.blocks.9.mlp.fc1.weight", "stages.2.blocks.9.mlp.fc1.bias", "stages.2.blocks.9.mlp.fc2.weight", "stages.2.blocks.9.mlp.fc2.bias", "stages.2.blocks.10.gamma", "stages.2.blocks.10.conv_dw.weight", "stages.2.blocks.10.conv_dw.bias", "stages.2.blocks.10.norm.weight", "stages.2.blocks.10.norm.bias", "stages.2.blocks.10.mlp.fc1.weight", "stages.2.blocks.10.mlp.fc1.bias", "stages.2.blocks.10.mlp.fc2.weight", "stages.2.blocks.10.mlp.fc2.bias", "stages.2.blocks.11.gamma", "stages.2.blocks.11.conv_dw.weight", "stages.2.blocks.11.conv_dw.bias", "stages.2.blocks.11.norm.weight", "stages.2.blocks.11.norm.bias", "stages.2.blocks.11.mlp.fc1.weight", "stages.2.blocks.11.mlp.fc1.bias", "stages.2.blocks.11.mlp.fc2.weight", "stages.2.blocks.11.mlp.fc2.bias", "stages.2.blocks.12.gamma", "stages.2.blocks.12.conv_dw.weight", "stages.2.blocks.12.conv_dw.bias", "stages.2.blocks.12.norm.weight", "stages.2.blocks.12.norm.bias", "stages.2.blocks.12.mlp.fc1.weight", "stages.2.blocks.12.mlp.fc1.bias", "stages.2.blocks.12.mlp.fc2.weight", "stages.2.blocks.12.mlp.fc2.bias", "stages.2.blocks.13.gamma", "stages.2.blocks.13.conv_dw.weight", "stages.2.blocks.13.conv_dw.bias", "stages.2.blocks.13.norm.weight", "stages.2.blocks.13.norm.bias", "stages.2.blocks.13.mlp.fc1.weight", "stages.2.blocks.13.mlp.fc1.bias", "stages.2.blocks.13.mlp.fc2.weight", "stages.2.blocks.13.mlp.fc2.bias", "stages.2.blocks.14.gamma", "stages.2.blocks.14.conv_dw.weight", "stages.2.blocks.14.conv_dw.bias", "stages.2.blocks.14.norm.weight", "stages.2.blocks.14.norm.bias", "stages.2.blocks.14.mlp.fc1.weight", "stages.2.blocks.14.mlp.fc1.bias", "stages.2.blocks.14.mlp.fc2.weight", "stages.2.blocks.14.mlp.fc2.bias", "stages.2.blocks.15.gamma", "stages.2.blocks.15.conv_dw.weight", "stages.2.blocks.15.conv_dw.bias", "stages.2.blocks.15.norm.weight", "stages.2.blocks.15.norm.bias", "stages.2.blocks.15.mlp.fc1.weight", "stages.2.blocks.15.mlp.fc1.bias", "stages.2.blocks.15.mlp.fc2.weight", "stages.2.blocks.15.mlp.fc2.bias", "stages.2.blocks.16.gamma", "stages.2.blocks.16.conv_dw.weight", "stages.2.blocks.16.conv_dw.bias", "stages.2.blocks.16.norm.weight", "stages.2.blocks.16.norm.bias", "stages.2.blocks.16.mlp.fc1.weight", "stages.2.blocks.16.mlp.fc1.bias", "stages.2.blocks.16.mlp.fc2.weight", "stages.2.blocks.16.mlp.fc2.bias", "stages.2.blocks.17.gamma", "stages.2.blocks.17.conv_dw.weight", "stages.2.blocks.17.conv_dw.bias", "stages.2.blocks.17.norm.weight", "stages.2.blocks.17.norm.bias", "stages.2.blocks.17.mlp.fc1.weight", "stages.2.blocks.17.mlp.fc1.bias", "stages.2.blocks.17.mlp.fc2.weight", "stages.2.blocks.17.mlp.fc2.bias", "stages.2.blocks.18.gamma", "stages.2.blocks.18.conv_dw.weight", "stages.2.blocks.18.conv_dw.bias", "stages.2.blocks.18.norm.weight", "stages.2.blocks.18.norm.bias", "stages.2.blocks.18.mlp.fc1.weight", "stages.2.blocks.18.mlp.fc1.bias", "stages.2.blocks.18.mlp.fc2.weight", "stages.2.blocks.18.mlp.fc2.bias", "stages.2.blocks.19.gamma", "stages.2.blocks.19.conv_dw.weight", "stages.2.blocks.19.conv_dw.bias", "stages.2.blocks.19.norm.weight", "stages.2.blocks.19.norm.bias", "stages.2.blocks.19.mlp.fc1.weight", "stages.2.blocks.19.mlp.fc1.bias", "stages.2.blocks.19.mlp.fc2.weight", "stages.2.blocks.19.mlp.fc2.bias", "stages.2.blocks.20.gamma", "stages.2.blocks.20.conv_dw.weight", "stages.2.blocks.20.conv_dw.bias", "stages.2.blocks.20.norm.weight", "stages.2.blocks.20.norm.bias", "stages.2.blocks.20.mlp.fc1.weight", "stages.2.blocks.20.mlp.fc1.bias", "stages.2.blocks.20.mlp.fc2.weight", "stages.2.blocks.20.mlp.fc2.bias", "stages.2.blocks.21.gamma", "stages.2.blocks.21.conv_dw.weight", "stages.2.blocks.21.conv_dw.bias", "stages.2.blocks.21.norm.weight", "stages.2.blocks.21.norm.bias", "stages.2.blocks.21.mlp.fc1.weight", "stages.2.blocks.21.mlp.fc1.bias", "stages.2.blocks.21.mlp.fc2.weight", "stages.2.blocks.21.mlp.fc2.bias", "stages.2.blocks.22.gamma", "stages.2.blocks.22.conv_dw.weight", "stages.2.blocks.22.conv_dw.bias", "stages.2.blocks.22.norm.weight", "stages.2.blocks.22.norm.bias", "stages.2.blocks.22.mlp.fc1.weight", "stages.2.blocks.22.mlp.fc1.bias", "stages.2.blocks.22.mlp.fc2.weight", "stages.2.blocks.22.mlp.fc2.bias", "stages.2.blocks.23.gamma", "stages.2.blocks.23.conv_dw.weight", "stages.2.blocks.23.conv_dw.bias", "stages.2.blocks.23.norm.weight", "stages.2.blocks.23.norm.bias", "stages.2.blocks.23.mlp.fc1.weight", "stages.2.blocks.23.mlp.fc1.bias", "stages.2.blocks.23.mlp.fc2.weight", "stages.2.blocks.23.mlp.fc2.bias", "stages.2.blocks.24.gamma", "stages.2.blocks.24.conv_dw.weight", "stages.2.blocks.24.conv_dw.bias", "stages.2.blocks.24.norm.weight", "stages.2.blocks.24.norm.bias", "stages.2.blocks.24.mlp.fc1.weight", "stages.2.blocks.24.mlp.fc1.bias", "stages.2.blocks.24.mlp.fc2.weight", "stages.2.blocks.24.mlp.fc2.bias", "stages.2.blocks.25.gamma", "stages.2.blocks.25.conv_dw.weight", "stages.2.blocks.25.conv_dw.bias", "stages.2.blocks.25.norm.weight", "stages.2.blocks.25.norm.bias", "stages.2.blocks.25.mlp.fc1.weight", "stages.2.blocks.25.mlp.fc1.bias", "stages.2.blocks.25.mlp.fc2.weight", "stages.2.blocks.25.mlp.fc2.bias", "stages.2.blocks.26.gamma", "stages.2.blocks.26.conv_dw.weight", "stages.2.blocks.26.conv_dw.bias", "stages.2.blocks.26.norm.weight", "stages.2.blocks.26.norm.bias", "stages.2.blocks.26.mlp.fc1.weight", "stages.2.blocks.26.mlp.fc1.bias", "stages.2.blocks.26.mlp.fc2.weight", "stages.2.blocks.26.mlp.fc2.bias", "stages.3.downsample.0.weight", "stages.3.downsample.0.bias", "stages.3.downsample.1.weight", "stages.3.downsample.1.bias", "stages.3.blocks.0.gamma", "stages.3.blocks.0.conv_dw.weight", "stages.3.blocks.0.conv_dw.bias", "stages.3.blocks.0.norm.weight", "stages.3.blocks.0.norm.bias", "stages.3.blocks.0.mlp.fc1.weight", "stages.3.blocks.0.mlp.fc1.bias", "stages.3.blocks.0.mlp.fc2.weight", "stages.3.blocks.0.mlp.fc2.bias", "stages.3.blocks.1.gamma", "stages.3.blocks.1.conv_dw.weight", "stages.3.blocks.1.conv_dw.bias", "stages.3.blocks.1.norm.weight", "stages.3.blocks.1.norm.bias", "stages.3.blocks.1.mlp.fc1.weight", "stages.3.blocks.1.mlp.fc1.bias", "stages.3.blocks.1.mlp.fc2.weight", "stages.3.blocks.1.mlp.fc2.bias", "stages.3.blocks.2.gamma", "stages.3.blocks.2.conv_dw.weight", "stages.3.blocks.2.conv_dw.bias", "stages.3.blocks.2.norm.weight", "stages.3.blocks.2.norm.bias", "stages.3.blocks.2.mlp.fc1.weight", "stages.3.blocks.2.mlp.fc1.bias", "stages.3.blocks.2.mlp.fc2.weight", "stages.3.blocks.2.mlp.fc2.bias", "head.norm.weight", "head.norm.bias", "head.fc.weight", "head.fc.bias".
Unexpected key(s) in state_dict: "downsample_layers.0.0.weight", "downsample_layers.0.0.bias", "downsample_layers.0.1.weight", "downsample_layers.0.1.bias", "downsample_layers.1.0.weight", "downsample_layers.1.0.bias", "downsample_layers.1.1.weight", "downsample_layers.1.1.bias", "downsample_layers.2.0.weight", "downsample_layers.2.0.bias", "downsample_layers.2.1.weight", "downsample_layers.2.1.bias", "downsample_layers.3.0.weight", "downsample_layers.3.0.bias", "downsample_layers.3.1.weight", "downsample_layers.3.1.bias", "norm.weight", "norm.bias", "stages.0.0.gamma", "stages.0.0.dwconv.weight", "stages.0.0.dwconv.bias", "stages.0.0.norm.weight", "stages.0.0.norm.bias", "stages.0.0.pwconv1.weight", "stages.0.0.pwconv1.bias", "stages.0.0.pwconv2.weight", "stages.0.0.pwconv2.bias", "stages.0.1.gamma", "stages.0.1.dwconv.weight", "stages.0.1.dwconv.bias", "stages.0.1.norm.weight", "stages.0.1.norm.bias", "stages.0.1.pwconv1.weight", "stages.0.1.pwconv1.bias", "stages.0.1.pwconv2.weight", "stages.0.1.pwconv2.bias", "stages.0.2.gamma", "stages.0.2.dwconv.weight", "stages.0.2.dwconv.bias", "stages.0.2.norm.weight", "stages.0.2.norm.bias", "stages.0.2.pwconv1.weight", "stages.0.2.pwconv1.bias", "stages.0.2.pwconv2.weight", "stages.0.2.pwconv2.bias", "stages.1.0.gamma", "stages.1.0.dwconv.weight", "stages.1.0.dwconv.bias", "stages.1.0.norm.weight", "stages.1.0.norm.bias", "stages.1.0.pwconv1.weight", "stages.1.0.pwconv1.bias", "stages.1.0.pwconv2.weight", "stages.1.0.pwconv2.bias", "stages.1.1.gamma", "stages.1.1.dwconv.weight", "stages.1.1.dwconv.bias", "stages.1.1.norm.weight", "stages.1.1.norm.bias", "stages.1.1.pwconv1.weight", "stages.1.1.pwconv1.bias", "stages.1.1.pwconv2.weight", "stages.1.1.pwconv2.bias", "stages.1.2.gamma", "stages.1.2.dwconv.weight", "stages.1.2.dwconv.bias", "stages.1.2.norm.weight", "stages.1.2.norm.bias", "stages.1.2.pwconv1.weight", "stages.1.2.pwconv1.bias", "stages.1.2.pwconv2.weight", "stages.1.2.pwconv2.bias", "stages.2.0.gamma", "stages.2.0.dwconv.weight", "stages.2.0.dwconv.bias", "stages.2.0.norm.weight", "stages.2.0.norm.bias", "stages.2.0.pwconv1.weight", "stages.2.0.pwconv1.bias", "stages.2.0.pwconv2.weight", "stages.2.0.pwconv2.bias", "stages.2.1.gamma", "stages.2.1.dwconv.weight", "stages.2.1.dwconv.bias", "stages.2.1.norm.weight", "stages.2.1.norm.bias", "stages.2.1.pwconv1.weight", "stages.2.1.pwconv1.bias", "stages.2.1.pwconv2.weight", "stages.2.1.pwconv2.bias", "stages.2.2.gamma", "stages.2.2.dwconv.weight", "stages.2.2.dwconv.bias", "stages.2.2.norm.weight", "stages.2.2.norm.bias", "stages.2.2.pwconv1.weight", "stages.2.2.pwconv1.bias", "stages.2.2.pwconv2.weight", "stages.2.2.pwconv2.bias", "stages.2.3.gamma", "stages.2.3.dwconv.weight", "stages.2.3.dwconv.bias", "stages.2.3.norm.weight", "stages.2.3.norm.bias", "stages.2.3.pwconv1.weight", "stages.2.3.pwconv1.bias", "stages.2.3.pwconv2.weight", "stages.2.3.pwconv2.bias", "stages.2.4.gamma", "stages.2.4.dwconv.weight", "stages.2.4.dwconv.bias", "stages.2.4.norm.weight", "stages.2.4.norm.bias", "stages.2.4.pwconv1.weight", "stages.2.4.pwconv1.bias", "stages.2.4.pwconv2.weight", "stages.2.4.pwconv2.bias", "stages.2.5.gamma", "stages.2.5.dwconv.weight", "stages.2.5.dwconv.bias", "stages.2.5.norm.weight", "stages.2.5.norm.bias", "stages.2.5.pwconv1.weight", "stages.2.5.pwconv1.bias", "stages.2.5.pwconv2.weight", "stages.2.5.pwconv2.bias", "stages.2.6.gamma", "stages.2.6.dwconv.weight", "stages.2.6.dwconv.bias", "stages.2.6.norm.weight", "stages.2.6.norm.bias", "stages.2.6.pwconv1.weight", "stages.2.6.pwconv1.bias", "stages.2.6.pwconv2.weight", "stages.2.6.pwconv2.bias", "stages.2.7.gamma", "stages.2.7.dwconv.weight", "stages.2.7.dwconv.bias", "stages.2.7.norm.weight", "stages.2.7.norm.bias", "stages.2.7.pwconv1.weight", "stages.2.7.pwconv1.bias", "stages.2.7.pwconv2.weight", "stages.2.7.pwconv2.bias", "stages.2.8.gamma", "stages.2.8.dwconv.weight", "stages.2.8.dwconv.bias", "stages.2.8.norm.weight", "stages.2.8.norm.bias", "stages.2.8.pwconv1.weight", "stages.2.8.pwconv1.bias", "stages.2.8.pwconv2.weight", "stages.2.8.pwconv2.bias", "stages.2.9.gamma", "stages.2.9.dwconv.weight", "stages.2.9.dwconv.bias", "stages.2.9.norm.weight", "stages.2.9.norm.bias", "stages.2.9.pwconv1.weight", "stages.2.9.pwconv1.bias", "stages.2.9.pwconv2.weight", "stages.2.9.pwconv2.bias", "stages.2.10.gamma", "stages.2.10.dwconv.weight", "stages.2.10.dwconv.bias", "stages.2.10.norm.weight", "stages.2.10.norm.bias", "stages.2.10.pwconv1.weight", "stages.2.10.pwconv1.bias", "stages.2.10.pwconv2.weight", "stages.2.10.pwconv2.bias", "stages.2.11.gamma", "stages.2.11.dwconv.weight", "stages.2.11.dwconv.bias", "stages.2.11.norm.weight", "stages.2.11.norm.bias", "stages.2.11.pwconv1.weight", "stages.2.11.pwconv1.bias", "stages.2.11.pwconv2.weight", "stages.2.11.pwconv2.bias", "stages.2.12.gamma", "stages.2.12.dwconv.weight", "stages.2.12.dwconv.bias", "stages.2.12.norm.weight", "stages.2.12.norm.bias", 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[Shayan Halder]

The names of the layers in your architecture must match the names of the original model in order to load weights