loading swintransformer

[BuRr-Lee]

when loading Swin-L checkpoint (swin_large_patch4_window12_384_22k.pkl), warnings come like this:

[02/08 23:18:31 fvcore.common.checkpoint]: [Checkpointer] Loading from weights/swin_large_patch4_window12_384_22k.pkl ...
[02/08 23:18:33 fvcore.common.checkpoint]: Reading a file from 'third_party'
WARNING [02/08 23:18:33 d2.checkpoint.c2_model_loading]: Shape of norm.bias in checkpoint is torch.Size([1536]), while shape of sem_seg_head.pixel_decoder.adapter_1.norm.bias in model is torch.Size([256]).
WARNING [02/08 23:18:33 d2.checkpoint.c2_model_loading]: norm.bias will not be loaded. Please double check and see if this is desired.
WARNING [02/08 23:18:33 d2.checkpoint.c2_model_loading]: Shape of norm.weight in checkpoint is torch.Size([1536]), while shape of sem_seg_head.pixel_decoder.adapter_1.norm.weight in model is torch.Size([256]).
WARNING [02/08 23:18:33 d2.checkpoint.c2_model_loading]: norm.weight will not be loaded. Please double check and see if this is desired.
WARNING [02/08 23:18:33 d2.checkpoint.c2_model_loading]: Shape of norm.bias in checkpoint is torch.Size([1536]), while shape of sem_seg_head.pixel_decoder.layer_1.norm.bias in model is torch.Size([256]).
WARNING [02/08 23:18:33 d2.checkpoint.c2_model_loading]: norm.bias will not be loaded. Please double check and see if this is desired.
WARNING [02/08 23:18:33 d2.checkpoint.c2_model_loading]: Shape of norm.weight in checkpoint is torch.Size([1536]), while shape of sem_seg_head.pixel_decoder.layer_1.norm.weight in model is torch.Size([256]).
WARNING [02/08 23:18:33 d2.checkpoint.c2_model_loading]: norm.weight will not be loaded. Please double check and see if this is desired.
WARNING [02/08 23:18:33 d2.checkpoint.c2_model_loading]: Shape of norm.bias in checkpoint is torch.Size([1536]), while shape of sem_seg_head.predictor.transformer_cross_attention_layers.0.norm.bias in model is torch.Size([256]).

do you have any clue about this? thanks!