
"""simple docstring"""

import os
from typing import Any, Callable, Dict, List, Optional, Tuple, Union

import torch
from torch import nn

from ...models.controlnet import ControlNetModel, ControlNetOutput
from ...models.modeling_utils import ModelMixin
from ...utils import logging


UpperCamelCase     :    Dict       =			logging.get_logger(__name__)

class __lowerCAmelCase		(				__SCREAMING_SNAKE_CASE      ):





					def __init__(     self     ,					__UpperCAmelCase				):

						'''simple docstring'''




						super().__init__()
						__UpperCamelCase      =	nn.ModuleList(__UpperCAmelCase				)





					def 						UpperCAmelCase (     self     ,					__UpperCAmelCase     ,					__UpperCAmelCase     ,					__UpperCAmelCase     ,					__UpperCAmelCase     ,					__UpperCAmelCase     ,					__UpperCAmelCase = None     ,					__UpperCAmelCase = None     ,					__UpperCAmelCase = None     ,					__UpperCAmelCase = None     ,					__UpperCAmelCase = False     ,					__UpperCAmelCase = True     ,					):

						'''simple docstring'''




						for i, (image, scale, controlnet) in enumerate(zip(__UpperCAmelCase     ,					__UpperCAmelCase     ,					self.nets				)				):
							__UpperCamelCase  ,     __UpperCamelCase      =	controlnet(
							    __UpperCAmelCase     ,					__UpperCAmelCase     ,					__UpperCAmelCase     ,					__UpperCAmelCase     ,					__UpperCAmelCase     ,					__UpperCAmelCase     ,					__UpperCAmelCase     ,					__UpperCAmelCase     ,					__UpperCAmelCase     ,					__UpperCAmelCase     ,					__UpperCAmelCase     ,					)

							# merge samples
							if i == 0:
								__UpperCamelCase  ,     __UpperCamelCase      =	down_samples, mid_sample
							else:
								__UpperCamelCase      =	[
								    samples_prev + samples_curr
								    for samples_prev, samples_curr in zip(__UpperCAmelCase     ,					__UpperCAmelCase				)
								]
								mid_block_res_sample += mid_sample

						return down_block_res_samples, mid_block_res_sample





					def 						UpperCAmelCase (     self     ,					__UpperCAmelCase     ,					__UpperCAmelCase = True     ,					__UpperCAmelCase = None     ,					__UpperCAmelCase = False     ,					__UpperCAmelCase = None     ,					):

						'''simple docstring'''




						__UpperCamelCase      =	0
						__UpperCamelCase      =	save_directory
						for controlnet in self.nets:
							controlnet.save_pretrained(
							    __UpperCAmelCase     ,					is_main_process=__UpperCAmelCase     ,					save_function=__UpperCAmelCase     ,					safe_serialization=__UpperCAmelCase     ,					variant=__UpperCAmelCase     ,					)

							idx += 1
							__UpperCamelCase      =	model_path_to_save + F'_{idx}'







					@classmethod
					def 						UpperCAmelCase (     cls     ,					__UpperCAmelCase     ,					**__UpperCAmelCase				):

						'''simple docstring'''




						__UpperCamelCase      =	0
						__UpperCamelCase      =	[]

						# load controlnet and append to list until no controlnet directory exists anymore
						# first controlnet has to be saved under `./mydirectory/controlnet` to be compliant with `DiffusionPipeline.from_prertained`
						# second, third, ... controlnets have to be saved under `./mydirectory/controlnet_1`, `./mydirectory/controlnet_2`, ...
						__UpperCamelCase      =	pretrained_model_path
						while os.path.isdir(__UpperCAmelCase				):
							__UpperCamelCase      =	ControlNetModel.from_pretrained(__UpperCAmelCase     ,					**__UpperCAmelCase				)
							controlnets.append(__UpperCAmelCase				)

							idx += 1
							__UpperCamelCase      =	pretrained_model_path + F'_{idx}'

						logger.info(F'{len(__UpperCAmelCase				)} controlnets loaded from {pretrained_model_path}.'				)

						if len(__UpperCAmelCase				) == 0:
							raise ValueError(
							    F'No ControlNets found under {os.path.dirname(__UpperCAmelCase				)}. Expected at least {pretrained_model_path + "_0"}.'				)

						return cls(__UpperCAmelCase				)





"""simple docstring"""

from argparse import ArgumentParser

from .add_new_model import AddNewModelCommand
from .add_new_model_like import AddNewModelLikeCommand
from .convert import ConvertCommand
from .download import DownloadCommand
from .env import EnvironmentCommand
from .lfs import LfsCommands
from .pt_to_tf import PTtoTFCommand
from .run import RunCommand
from .serving import ServeCommand
from .user import UserCommands






def 							A						(    )				->     Union[str, Any]:
 __UpperCamelCase      =	ArgumentParser('Transformers CLI tool'    , usage='transformers-cli <command> [<args>]'		)
 __UpperCamelCase      =	parser.add_subparsers(help='transformers-cli command helpers'		)

 # Register commands
 ConvertCommand.register_subcommand(snake_case		)
 DownloadCommand.register_subcommand(snake_case		)
 EnvironmentCommand.register_subcommand(snake_case		)
 RunCommand.register_subcommand(snake_case		)
 ServeCommand.register_subcommand(snake_case		)
 UserCommands.register_subcommand(snake_case		)
 AddNewModelCommand.register_subcommand(snake_case		)
 AddNewModelLikeCommand.register_subcommand(snake_case		)
 LfsCommands.register_subcommand(snake_case		)
 PTtoTFCommand.register_subcommand(snake_case		)

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

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

 # Run
 __UpperCamelCase      =	args.func(snake_case		)
 service.run()


if __name__ == "__main__":
      main()



