Hi @YueYANG1996 I am using the ckpt file generated in the exp folder to test, but I am getting this error. Please would you help
Traceback (most recent call last):
File "main.py", line 370, in
main(cfg)
File "main.py", line 247, in asso_opt_main
data_module = DotProductDataModule(
File "/DATA/siddharth/LaBo/data.py", line 379, in init
super().init(*args, **kwargs)
File "/DATA/siddharth/LaBo/data.py", line 186, in init
self.gen_init_weight_from_cls_name(self.cls_names, self.concepts_raw[self.select_idx])
File "/DATA/siddharth/LaBo/data.py", line 234, in gen_init_weight_from_cls_name
cls_name_feat = utils.prepare_txt_feat(cls_names, clip_model_name=self.clip_model, ckpt_path=self.clip_ckpt)
File "/DATA/siddharth/LaBo/utils.py", line 141, in prepare_txt_feat
model.load_state_dict(ckpt)
File "/DATA/siddharth/anaconda3/envs/LABO/lib/python3.8/site-packages/torch/nn/modules/module.py", line 2041, in load_state_dict
raise RuntimeError('Error(s) in loading state_dict for {}:\n\t{}'.format(
RuntimeError: Error(s) in loading state_dict for CLIP:
Missing key(s) in state_dict: "positional_embedding", "text_projection", "logit_scale", "visual.class_embedding", "visual.positional_embedding", "visual.proj", "visual.conv1.weight", "visual.ln_pre.weight", "visual.ln_pre.bias", "visual.transformer.resblocks.0.attn.in_proj_weight", "visual.transformer.resblocks.0.attn.in_proj_bias", "visual.transformer.resblocks.0.attn.out_proj.weight", "visual.transformer.resblocks.0.attn.out_proj.bias", "visual.transformer.resblocks.0.ln_1.weight", "visual.transformer.resblocks.0.ln_1.bias", "visual.transformer.resblocks.0.mlp.c_fc.weight", "visual.transformer.resblocks.0.mlp.c_fc.bias", "visual.transformer.resblocks.0.mlp.c_proj.weight", "visual.transformer.resblocks.0.mlp.c_proj.bias", "visual.transformer.resblocks.0.ln_2.weight", "visual.transformer.resblocks.0.ln_2.bias", "visual.transformer.resblocks.1.attn.in_proj_weight", "visual.transformer.resblocks.1.attn.in_proj_bias", "visual.transformer.resblocks.1.attn.out_proj.weight", 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"transformer.resblocks.9.mlp.c_fc.weight", "transformer.resblocks.9.mlp.c_fc.bias", "transformer.resblocks.9.mlp.c_proj.weight", "transformer.resblocks.9.mlp.c_proj.bias", "transformer.resblocks.9.ln_2.weight", "transformer.resblocks.9.ln_2.bias", "transformer.resblocks.10.attn.in_proj_weight", "transformer.resblocks.10.attn.in_proj_bias", "transformer.resblocks.10.attn.out_proj.weight", "transformer.resblocks.10.attn.out_proj.bias", "transformer.resblocks.10.ln_1.weight", "transformer.resblocks.10.ln_1.bias", "transformer.resblocks.10.mlp.c_fc.weight", "transformer.resblocks.10.mlp.c_fc.bias", "transformer.resblocks.10.mlp.c_proj.weight", "transformer.resblocks.10.mlp.c_proj.bias", "transformer.resblocks.10.ln_2.weight", "transformer.resblocks.10.ln_2.bias", "transformer.resblocks.11.attn.in_proj_weight", "transformer.resblocks.11.attn.in_proj_bias", "transformer.resblocks.11.attn.out_proj.weight", "transformer.resblocks.11.attn.out_proj.bias", "transformer.resblocks.11.ln_1.weight", "transformer.resblocks.11.ln_1.bias", "transformer.resblocks.11.mlp.c_fc.weight", "transformer.resblocks.11.mlp.c_fc.bias", "transformer.resblocks.11.mlp.c_proj.weight", "transformer.resblocks.11.mlp.c_proj.bias", "transformer.resblocks.11.ln_2.weight", "transformer.resblocks.11.ln_2.bias", "token_embedding.weight", "ln_final.weight", "ln_final.bias".
Unexpected key(s) in state_dict: "epoch", "global_step", "pytorch-lightning_version", "state_dict", "loops", "callbacks", "optimizer_states", "lr_schedulers", "hparams_name", "hyper_parameters".