code: 
  
  
  import argparse
  
  import runhouse as rh
  import torch
  from nlp_example import training_function
  
  from accelerate.utils import PrepareForLaunch, patch_environment
  def     UpperCAmelCase__		(*UpperCamelCase_       ):
  
  
  
       """simple docstring"""
  
  
  
  
  
  
       snake_case					=       torch.cuda.device_count()
       print(F'''Device count: {num_processes}'''       )
       with patch_environment(
           world_size=UpperCamelCase_							,master_addr='''127.0.01'''							,master_port='''29500'''							,mixed_precision=args[1].mixed_precision       ):
            snake_case					=       PrepareForLaunch(UpperCamelCase_							,distributed_type='''MULTI_GPU'''       )
            torch.multiprocessing.start_processes(UpperCamelCase_							,args=UpperCamelCase_							,nprocs=UpperCamelCase_							,start_method='''spawn'''       )
  
  
  if __name__ == "__main__":
   # Refer to https://runhouse-docs.readthedocs-hosted.com/en/main/rh_primitives/cluster.html#hardware-setup
   # for cloud access setup instructions (if using on-demand hardware), and for API specifications.
  
   # on-demand GPU
   # gpu = rh.cluster(name='rh-cluster', instance_type='V100:1', provider='cheapest', use_spot=False)  # single GPU
   _SCREAMING_SNAKE_CASE    :				Optional[Any]       =					rh.cluster(name="rh-cluster", instance_type="V100:4", provider="cheapest", use_spot=False)  # multi GPU
   gpu.up_if_not()
  
   # on-prem GPU
   # gpu = rh.cluster(
   #           ips=["ip_addr"], ssh_creds={ssh_user:"<username>", ssh_private_key:"<key_path>"}, name="rh-cluster"
   #       )
  
   # Set up remote function
   _SCREAMING_SNAKE_CASE    :				Tuple       =					[
       "pip:./",
       "transformers",
       "datasets",
       "evaluate",
       "tqdm",
       "scipy",
       "scikit-learn",
       "tensorboard",
       "torch --upgrade --extra-index-url https://download.pytorch.org/whl/cu117",
   ]
   _SCREAMING_SNAKE_CASE    :				str       =					rh.function(fn=launch_train, system=gpu, reqs=reqs, name="train_bert_glue")
  
   # Define train args/config, run train function
   _SCREAMING_SNAKE_CASE    :				int       =					argparse.Namespace(cpu=False, mixed_precision="fp16")
   _SCREAMING_SNAKE_CASE    :				str       =					{"lr": 2e-5, "num_epochs": 3, "seed": 42, "batch_size": 16}
   launch_train_gpu(config, train_args, stream_logs=True)
  
   # Alternatively, we can just run as instructed in the README (but only because there's already a wrapper CLI):
   # gpu.install_packages(reqs)
   # gpu.run(['accelerate launch --multi_gpu accelerate/examples/nlp_example.py'])
  
  
  
  
  
style_context: 
  
  
  from ..utils import deprecate
  from .attention_processor import (  # noqa: F401
      Attention,
      AttentionProcessor,
      AttnAddedKVProcessor,
      AttnProcessor2_0,
      LoRAAttnProcessor,
      LoRALinearLayer,
      LoRAXFormersAttnProcessor,
      SlicedAttnAddedKVProcessor,
      SlicedAttnProcessor,
      XFormersAttnProcessor,
  )
  from .attention_processor import AttnProcessor as AttnProcessorRename  # noqa: F401
  
  
  deprecate(
      "cross_attention",
      "0.20.0",
      "Importing from cross_attention is deprecated. Please import from diffusers.models.attention_processor instead.",
      standard_warn=False,
  )
  
  
  _SCREAMING_SNAKE_CASE    :				Optional[int]       =					AttentionProcessor
  
  class 						A__      (					snake_case__			):
  
  
  
  
  
  
  
      """simple docstring"""
  
      def __init__( self    ,      *__snake_case    ,      **__snake_case					):
           snake_case					=       F'''{self.__class__.__name__} is deprecated and will be removed in `0.20.0`. Please use `from diffusers.models.attention_processor import {"".join(self.__class__.__name__.split("Cross"					)					)} instead.'''
           deprecate('''cross_attention'''    ,      '''0.20.0'''    ,      __snake_case    ,      standard_warn=__snake_case					)
           super().__init__(*__snake_case    ,      **__snake_case					)
  
  
  
  
  
  
  class 						A__      (					snake_case__			):
  
  
  
  
  
  
  
      """simple docstring"""
  
      def __init__( self    ,      *__snake_case    ,      **__snake_case					):
           snake_case					=       F'''{self.__class__.__name__} is deprecated and will be removed in `0.20.0`. Please use `from diffusers.models.attention_processor import {"".join(self.__class__.__name__.split("Cross"					)					)} instead.'''
           deprecate('''cross_attention'''    ,      '''0.20.0'''    ,      __snake_case    ,      standard_warn=__snake_case					)
           super().__init__(*__snake_case    ,      **__snake_case					)
  
  
  
  
  
  
  class 						A__      (					snake_case__			):
  
  
  
  
  
  
  
      """simple docstring"""
  
      def __init__( self    ,      *__snake_case    ,      **__snake_case					):
           snake_case					=       F'''{self.__class__.__name__} is deprecated and will be removed in `0.20.0`. Please use `from diffusers.models.attention_processor import {"".join(self.__class__.__name__.split("Cross"					)					)} instead.'''
           deprecate('''cross_attention'''    ,      '''0.20.0'''    ,      __snake_case    ,      standard_warn=__snake_case					)
           super().__init__(*__snake_case    ,      **__snake_case					)
  
  
  
  
  
  
  class 						A__      (					snake_case__			):
  
  
  
  
  
  
  
      """simple docstring"""
  
      def __init__( self    ,      *__snake_case    ,      **__snake_case					):
           snake_case					=       F'''{self.__class__.__name__} is deprecated and will be removed in `0.20.0`. Please use `from diffusers.models.attention_processor import {"".join(self.__class__.__name__.split("Cross"					)					)} instead.'''
           deprecate('''cross_attention'''    ,      '''0.20.0'''    ,      __snake_case    ,      standard_warn=__snake_case					)
           super().__init__(*__snake_case    ,      **__snake_case					)
  
  
  
  
  
  
  class 						A__      (					snake_case__			):
  
  
  
  
  
  
  
      """simple docstring"""
  
      def __init__( self    ,      *__snake_case    ,      **__snake_case					):
           snake_case					=       F'''{self.__class__.__name__} is deprecated and will be removed in `0.20.0`. Please use `from diffusers.models.attention_processor import {"".join(self.__class__.__name__.split("Cross"					)					)} instead.'''
           deprecate('''cross_attention'''    ,      '''0.20.0'''    ,      __snake_case    ,      standard_warn=__snake_case					)
           super().__init__(*__snake_case    ,      **__snake_case					)
  
  
  
  
  
  
  class 						A__      (					snake_case__			):
  
  
  
  
  
  
  
      """simple docstring"""
  
      def __init__( self    ,      *__snake_case    ,      **__snake_case					):
           snake_case					=       F'''{self.__class__.__name__} is deprecated and will be removed in `0.20.0`. Please use `from diffusers.models.attention_processor import {"".join(self.__class__.__name__.split("Cross"					)					)} instead.'''
           deprecate('''cross_attention'''    ,      '''0.20.0'''    ,      __snake_case    ,      standard_warn=__snake_case					)
           super().__init__(*__snake_case    ,      **__snake_case					)
  
  
  
  
  
  
  class 						A__      (					snake_case__			):
  
  
  
  
  
  
  
      """simple docstring"""
  
      def __init__( self    ,      *__snake_case    ,      **__snake_case					):
           snake_case					=       F'''{self.__class__.__name__} is deprecated and will be removed in `0.20.0`. Please use `from diffusers.models.attention_processor import {"".join(self.__class__.__name__.split("Cross"					)					)} instead.'''
           deprecate('''cross_attention'''    ,      '''0.20.0'''    ,      __snake_case    ,      standard_warn=__snake_case					)
           super().__init__(*__snake_case    ,      **__snake_case					)
  
  
  
  
  
  
  class 						A__      (					snake_case__			):
  
  
  
  
  
  
  
      """simple docstring"""
  
      def __init__( self    ,      *__snake_case    ,      **__snake_case					):
           snake_case					=       F'''{self.__class__.__name__} is deprecated and will be removed in `0.20.0`. Please use `from diffusers.models.attention_processor import {"".join(self.__class__.__name__.split("Cross"					)					)} instead.'''
           deprecate('''cross_attention'''    ,      '''0.20.0'''    ,      __snake_case    ,      standard_warn=__snake_case					)
           super().__init__(*__snake_case    ,      **__snake_case					)
  
  
  
  
  