





'''simple docstring'''




from torch import nn







class   A_	(  nn.Module			):




 def __init__(					self       :    Dict	,			snake_case_       :    Tuple	,			snake_case_       :    Any    ):
      super().__init__()
      _UpperCAmelCase     							=   class_size
      _UpperCAmelCase     							=   embed_size
      # self.mlp1 = nn.Linear(embed_size, embed_size)
      # self.mlp2 = (nn.Linear(embed_size, class_size))
      _UpperCAmelCase     							=   nn.Linear(snake_case_	,			snake_case_    )




 def      lowercase	(					self       :    int	,			snake_case_       :    int    ):
      # hidden_state = nn.functional.relu(self.mlp1(hidden_state))
      # hidden_state = self.mlp2(hidden_state)
      _UpperCAmelCase     							=   self.mlp(snake_case_    )
      return logits








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()




