这个问题如何解决呢How to solve this problem?

[leonray107]

RuntimeError 13 LayerMask: HumanPartsUltra
LayerMask: HumanPartsUltra
Error(s) in loading state_dict for VitMatteForImageMatting:
size mismatch for backbone.embeddings.position_embeddings: copying a param with shape torch.Size([1, 197, 384]) from checkpoint, the shape in current model is torch.Size([1, 197, 768]).
size mismatch for backbone.embeddings.projection.weight: copying a param with shape torch.Size([384, 4, 16, 16]) from checkpoint, the shape in current model is torch.Size([768, 3, 16, 16]).
size mismatch for backbone.embeddings.projection.bias: copying a param with shape torch.Size([384]) from checkpoint, the shape in current model is torch.Size([768]).
size mismatch for backbone.encoder.layer.0.norm1.weight: copying a param with shape torch.Size([384]) from checkpoint, the shape in current model is torch.Size([768]).
size mismatch for backbone.encoder.layer.0.norm1.bias: copying a param with shape torch.Size([384]) from checkpoint, the shape in current model is torch.Size([768]).
size mismatch for backbone.encoder.layer.0.attention.qkv.weight: copying a param with shape torch.Size([1152, 384]) from checkpoint, the shape in current model is torch.Size([2304, 768]).
size mismatch for backbone.encoder.layer.0.attention.qkv.bias: copying a param with shape torch.Size([1152]) from checkpoint, the shape in current model is torch.Size([2304]).
size mismatch for backbone.encoder.layer.0.attention.proj.weight: copying a param with shape torch.Size([384, 384]) from checkpoint, the shape in current model is torch.Size([768, 768]).
size mismatch for backbone.encoder.layer.0.attention.proj.bias: copying a param with shape torch.Size([384]) from checkpoint, the shape in current model is torch.Size([768]).
size mismatch for backbone.encoder.layer.0.norm2.weight: copying a param with shape torch.Size([384]) from checkpoint, the shape in current model is torch.Size([768]).
size mismatch for backbone.encoder.layer.0.norm2.bias: copying a param with shape torch.Size([384]) from checkpoint, the shape in current model is torch.Size([768]).
size mismatch for backbone.encoder.layer.0.mlp.fc1.weight: copying a param with shape torch.Size([1536, 384]) from checkpoint, the shape in current model is torch.Size([3072, 768]).
size mismatch for backbone.encoder.layer.0.mlp.fc1.bias: copying a param with shape torch.Size([1536]) from checkpoint, the shape in current model is torch.Size([3072]).
size mismatch for backbone.encoder.layer.0.mlp.fc2.weight: copying a param with shape torch.Size([384, 1536]) from checkpoint, the shape in current model is torch.Size([768, 3072]).
size mismatch for backbone.encoder.layer.0.mlp.fc2.bias: copying a param with shape torch.Size([384]) from checkpoint, the shape in current model is torch.Size([768]).
size mismatch for backbone.encoder.layer.1.norm1.weight: copying a param with shape torch.Size([384]) from checkpoint, the shape in current model is torch.Size([768]).
size mismatch for backbone.encoder.layer.1.norm1.bias: copying a param with shape torch.Size([384]) from checkpoint, the shape in current model is torch.Size([768]).
size mismatch for backbone.encoder.layer.1.attention.qkv.weight: copying a param with shape torch.Size([1152, 384]) from checkpoint, the shape in current model is torch.Size([2304, 768]).
size mismatch for backbone.encoder.layer.1.attention.qkv.bias: copying a param with shape torch.Size([1152]) from checkpoint, the shape in current model is torch.Size([2304]).
size mismatch for backbone.encoder.layer.1.attention.proj.weight: copying a param with shape torch.Size([384, 384]) from checkpoint, the shape in current model is torch.Size([768, 768]).
size mismatch for backbone.encoder.layer.1.attention.proj.bias: copying a param with shape torch.Size([384]) from checkpoint, the shape in current model is torch.Size([768]).
size mismatch for backbone.encoder.layer.1.norm2.weight: copying a param with shape torch.Size([384]) from checkpoint, the shape in current model is torch.Size([768]).
size mismatch for backbone.encoder.layer.1.norm2.bias: copying a param with shape torch.Size([384]) from checkpoint, the shape in current model is torch.Size([768]).
size mismatch for backbone.encoder.layer.1.mlp.fc1.weight: copying a param with shape torch.Size([1536, 384]) from checkpoint, the shape in current model is torch.Size([3072, 768]).
size mismatch for backbone.encoder.layer.1.mlp.fc1.bias: copying a param with shape torch.Size([1536]) from checkpoint, the shape in current model is torch.Size([3072]).
size mismatch for backbone.encoder.layer.1.mlp.fc2.weight: copying a param with shape torch.Size([384, 1536]) from checkpoint, the shape in current model is torch.Size([768, 3072]).
size mismatch for backbone.encoder.layer.1.mlp.fc2.bias: copying a param with shape torch.Size([384]) from checkpoint, the shape in current model is torch.Size([768]).
size mismatch for backbone.encoder.layer.2