"""simple docstring"""




import torch
import trajectory.utils as utils

from transformers import TrajectoryTransformerModel




class        lowercase_  (  utils.Parser						):



	"""simple docstring"""





	UpperCAmelCase_  : str       =    "halfcheetah-medium-expert-v2"
	UpperCAmelCase_  : str       =    "config.offline"

def        SCREAMING_SNAKE_CASE_					(						snake_case__       ,  snake_case__       ,  snake_case__       ,  snake_case__       ,  snake_case__							)					->     str:
							lowerCAmelCase		,				lowerCAmelCase     		=		utils.load_model(snake_case__       ,  snake_case__       ,  snake_case__       ,  epoch=snake_case__       ,  device=snake_case__							)
							lowerCAmelCase     		=		TrajectoryTransformerModel(gpt.config							)

							trajectory_transformer.tok_emb.load_state_dict(gpt.tok_emb.state_dict()							)
							lowerCAmelCase     		=		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__      :    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 warnings

from .generation import FlaxGenerationMixin




class        lowercase_  (  UpperCamelCase_						):



	"""simple docstring"""





	warnings.warn(
	    """Importing `FlaxGenerationMixin` from `src/transformers/generation_flax_utils.py` is deprecated and will """
	    """be removed in Transformers v5. Import as `from transformers import FlaxGenerationMixin` instead."""				,					UpperCamelCase_				,					)



