





"""simple docstring"""





import importlib
import sys
from argparse import REMAINDER, ArgumentParser
from pathlib import Path

import torch_xla.distributed.xla_multiprocessing as xmp



def 					lowerCAmelCase_      (   ):


							'''simple docstring'''







							__lowerCamelCase   :   List[Any]       =ArgumentParser(
							    description=(
							        '''PyTorch TPU distributed training launch helper utility that will spawn up multiple distributed processes'''
							    ) )

							# Optional arguments for the launch helper
							parser.add_argument('''--num_cores'''     ,    type=__snake_case     ,    default=1     ,    help='''Number of TPU cores to use (1 or 8).''' )

							# positional
							parser.add_argument(
							    '''training_script'''     ,    type=__snake_case     ,    help=(
							        '''The full path to the single TPU training '''
							        '''program/script to be launched in parallel, '''
							        '''followed by all the arguments for the '''
							        '''training script'''
							    )     ,    )

							# rest from the training program
							parser.add_argument('''training_script_args'''     ,    nargs=__snake_case )

							return parser.parse_args()



def 					lowerCAmelCase_      (   ):


							'''simple docstring'''







							__lowerCamelCase   :   List[Any]       =parse_args()

							# Import training_script as a module.
							__lowerCamelCase   :   Optional[int]       =Path(args.training_script )
							sys.path.append(str(script_fpath.parent.resolve() ) )
							__lowerCamelCase   :   List[str]       =script_fpath.stem
							__lowerCamelCase   :   str       =importlib.import_module(__snake_case )

							# Patch sys.argv
							__lowerCamelCase   :   Optional[Any]       =[args.training_script] + args.training_script_args + ["--tpu_num_cores", str(args.num_cores )]

							xmp.spawn(mod._mp_fn     ,    args=()     ,    nprocs=args.num_cores )


if __name__ == "__main__":
							main()









"""simple docstring"""






# NOTE: This file is deprecated and will be removed in a future version.
# It only exists so that temporarely `from diffusers.pipelines import DiffusionPipeline` works

from ...utils import deprecate
from ..controlnet.pipeline_flax_controlnet import FlaxStableDiffusionControlNetPipeline  # noqa: F401


deprecate(
    'stable diffusion controlnet',
    '0.22.0',
    'Importing `FlaxStableDiffusionControlNetPipeline` from diffusers.pipelines.stable_diffusion.flax_pipeline_stable_diffusion_controlnet is deprecated. Please import `from diffusers import FlaxStableDiffusionControlNetPipeline` instead.',
    standard_warn=False,
    stacklevel=3,
)