when i test automatch , i met some weight problems

[faicaiwawa]

it seems the model is not match with code ,could you help me solve this problem?
RuntimeError: Error(s) in loading state_dict for SiamInference: Unexpected key(s) in state_dict: "head.regression.LTM.GuidedSP.s_embed.weight", "head.regression.LTM.GuidedSP.s_embed.bias", "head.regression.LTM.GuidedSP.t_embed.weight", "head.regression.LTM.GuidedSP.t_embed.bias", "head.regression.LTM.PointDW.s_embed.weight", "head.regression.LTM.PointDW.s_embed.bias", "head.regression.LTM.PointDW.t_embed.weight", "head.regression.LTM.PointDW.t_embed.bias", "head.regression.LTM.PointAdd.s_embed.weight", "head.regression.LTM.PointAdd.s_embed.bias", "head.regression.LTM.PointAdd.t_embed.weight", "head.regression.LTM.PointAdd.t_embed.bias", "head.regression.LTM.Transformer.s_embed.weight", "head.regression.LTM.Transformer.s_embed.bias", "head.regression.LTM.Transformer.t_embed_v.weight", "head.regression.LTM.Transformer.t_embed_v.bias", "head.regression.LTM.Transformer.t_embed.weight", "head.regression.LTM.Transformer.t_embed.bias", "head.regression.LTM.Transformer.trans.in_proj_weight", "head.regression.LTM.Transformer.trans.in_proj_bias", "head.regression.LTM.Transformer.trans.out_proj.weight", "head.regression.LTM.Transformer.trans.out_proj.bias", "head.classification.LTM.GuidedSP.s_embed.weight", "head.classification.LTM.GuidedSP.s_embed.bias", "head.classification.LTM.GuidedSP.t_embed.weight", "head.classification.LTM.GuidedSP.t_embed.bias", "head.classification.LTM.PointDW.s_embed.weight", "head.classification.LTM.PointDW.s_embed.bias", "head.classification.LTM.PointDW.t_embed.weight", "head.classification.LTM.PointDW.t_embed.bias", "head.classification.LTM.PointAdd.s_embed.weight", "head.classification.LTM.PointAdd.s_embed.bias", "head.classification.LTM.PointAdd.t_embed.weight", "head.classification.LTM.PointAdd.t_embed.bias", "head.classification.LTM.PC.s_embed.weight", "head.classification.LTM.PC.s_embed.bias", "head.classification.LTM.PC.t_embed.weight", "head.classification.LTM.PC.t_embed.bias", "head.classification.LTM.PC.down.weight", "head.classification.LTM.PC.down.bias".