


from ...configuration_utils import PretrainedConfig
from ...utils import logging


snake_case							:       Union[str, Any]     			=      logging.get_logger(__name__)

snake_case							:       str     			=      {
    '''edbeeching/decision-transformer-gym-hopper-medium''': (
        '''https://huggingface.co/edbeeching/decision-transformer-gym-hopper-medium/resolve/main/config.json'''
    ),
    # See all DecisionTransformer models at https://huggingface.co/models?filter=decision_transformer
}







class        snake_case_   (lowerCamelCase_      ):
					UpperCAmelCase__					:    List[Any]          =			'''decision_transformer'''
					UpperCAmelCase__					:    Optional[int]          =			['''past_key_values''']
					UpperCAmelCase__					:    Dict          =			{
					    '''max_position_embeddings''': '''n_positions''',
					    '''num_attention_heads''': '''n_head''',
					    '''num_hidden_layers''': '''n_layer''',
					}
					def __init__(      self   :Union[str, Any]			,__snake_case   :str=17			,__snake_case   :Optional[Any]=4			,__snake_case   :int=1_28			,__snake_case   :int=40_96			,__snake_case   :List[str]=True			,__snake_case   :str=1			,__snake_case   :Dict=10_24			,__snake_case   :Optional[int]=3			,__snake_case   :Tuple=1			,__snake_case   :Any=None			,__snake_case   :List[Any]="relu"			,__snake_case   :Any=0.1			,__snake_case   :int=0.1			,__snake_case   :List[str]=0.1			,__snake_case   :Dict=1E-5			,__snake_case   :Optional[Any]=0.02			,__snake_case   :List[str]=True			,__snake_case   :List[str]=True			,__snake_case   :Union[str, Any]=5_02_56			,__snake_case   :Union[str, Any]=5_02_56			,__snake_case   :int=False			,__snake_case   :Optional[Any]=False			,**__snake_case   :Any			,)					->    int:
												a__             =     state_dim
												a__             =     act_dim
												a__             =     hidden_size
												a__             =     max_ep_len
												a__             =     action_tanh
												a__             =     vocab_size
												a__             =     n_positions
												a__             =     n_layer
												a__             =     n_head
												a__             =     n_inner
												a__             =     activation_function
												a__             =     resid_pdrop
												a__             =     embd_pdrop
												a__             =     attn_pdrop
												a__             =     layer_norm_epsilon
												a__             =     initializer_range
												a__             =     scale_attn_weights
												a__             =     use_cache
												a__             =     scale_attn_by_inverse_layer_idx
												a__             =     reorder_and_upcast_attn

												a__             =     bos_token_id
												a__             =     eos_token_id

												super().__init__(bos_token_id=__snake_case			,eos_token_id=__snake_case			,**__snake_case      )








from argparse import ArgumentParser

from .env import EnvironmentCommand






def 							__lowercase   ( ):
							a__             =     ArgumentParser('Diffusers CLI tool'					,    usage='diffusers-cli <command> [<args>]'   )
							a__             =     parser.add_subparsers(help='diffusers-cli command helpers'   )

							# Register commands
							EnvironmentCommand.register_subcommand(__lowerCAmelCase   )

							# Let's go
							a__             =     parser.parse_args()

							if not hasattr(__lowerCAmelCase					,    'func'   ):
														parser.print_help()
														exit(1   )

							# Run
							a__             =     args.func(__lowerCAmelCase   )
							service.run()


if __name__ == "__main__":
						main()




