





import torch
import trajectory.utils as utils

from transformers import TrajectoryTransformerModel




class     a__ (      utils.Parser   ):
     a	:    str	      =			"halfcheetah-medium-expert-v2"
     a	:    str	      =			"config.offline"







def       SCREAMING_SNAKE_CASE							(     __UpperCamelCase	,      __UpperCamelCase	,      __UpperCamelCase	,      __UpperCamelCase	,      __UpperCamelCase)    ->  List[Any]:
     a						,   a											=   utils.load_model(__UpperCamelCase	,      __UpperCamelCase	,      __UpperCamelCase	,      epoch=__UpperCamelCase	,      device=__UpperCamelCase)
     a											=   TrajectoryTransformerModel(gpt.config)

     trajectory_transformer.tok_emb.load_state_dict(gpt.tok_emb.state_dict())
     a											=   gpt.pos_emb
     trajectory_transformer.drop.load_state_dict(gpt.drop.state_dict())
     trajectory_transformer.ln_f.load_state_dict(gpt.ln_f.state_dict())
     trajectory_transformer.head.load_state_dict(gpt.head.state_dict())

     for i, block in enumerate(gpt.blocks):
          trajectory_transformer.blocks[i].lna.load_state_dict(gpt.blocks[i].lna.state_dict())
          trajectory_transformer.blocks[i].lna.load_state_dict(gpt.blocks[i].lna.state_dict())
          trajectory_transformer.blocks[i].attn.load_state_dict(gpt.blocks[i].attn.state_dict())

          trajectory_transformer.blocks[i].la.load_state_dict(gpt.blocks[i].mlp[0].state_dict())
          trajectory_transformer.blocks[i].act.load_state_dict(gpt.blocks[i].mlp[1].state_dict())
          trajectory_transformer.blocks[i].la.load_state_dict(gpt.blocks[i].mlp[2].state_dict())
          trajectory_transformer.blocks[i].drop.load_state_dict(gpt.blocks[i].mlp[3].state_dict())

     torch.save(trajectory_transformer.state_dict()	,      "pytorch_model.bin")


if __name__ == "__main__":
   lowercase__   :    List[Any] 					=      Parser().parse_args("plan")
   convert_trajectory_transformer_original_pytorch_checkpoint_to_pytorch(
       args.logbase, args.dataset, args.gpt_loadpath, args.gpt_epoch, args.device
   )







import safs




class     a__ (      safs.SaFileSystem   ):
     pass

