



from argparse import ArgumentParser

from .env import EnvironmentCommand



def 			_lowerCAmelCase       (					)   ->					List[Any]:


				"""simple docstring"""

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

				# Register commands
				EnvironmentCommand.register_subcommand(__lowerCAmelCase      )

				# Let's go
				snake_case__	:      List[Any]     		=	parser.parse_args()

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

				# Run
				snake_case__	:      Any     		=	args.func(__lowerCAmelCase      )
				service.run()


if __name__ == "__main__":
				main()






from torch import nn


class       a							(			nn.Module				):



		def __init__(     self     :Tuple   ,__lowercase     :Optional[int]   ,__lowercase     :int  ):
						super().__init__()
						snake_case__	:      Optional[Any]     		=	class_size
						snake_case__	:      Dict     		=	embed_size
						# self.mlp1 = nn.Linear(embed_size, embed_size)
						# self.mlp2 = (nn.Linear(embed_size, class_size))
						snake_case__	:      Dict     		=	nn.Linear(__lowercase   ,__lowercase  )






		def 	__lowerCamelCase			(     self     :str   ,__lowercase     :int  ):
						# hidden_state = nn.functional.relu(self.mlp1(hidden_state))
						# hidden_state = self.mlp2(hidden_state)
						snake_case__	:      Optional[Any]     		=	self.mlp(__lowercase  )
						return logits

