



"""simple docstring"""







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,
)


UpperCAmelCase:  List[Any]			     =				AttentionProcessor





class   UpperCamelCase	(     snake_case       ):




	"""simple docstring"""






	def __init__(     self				,*UpperCAmelCase_				,**UpperCAmelCase_   ):
			_lowercase				: Union[str, Any]     =   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"""				,UpperCAmelCase_				,standard_warn=UpperCAmelCase_   )
			super().__init__(*UpperCAmelCase_				,**UpperCAmelCase_   )







class   UpperCamelCase	(     snake_case       ):




	"""simple docstring"""






	def __init__(     self				,*UpperCAmelCase_				,**UpperCAmelCase_   ):
			_lowercase				: str     =   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"""				,UpperCAmelCase_				,standard_warn=UpperCAmelCase_   )
			super().__init__(*UpperCAmelCase_				,**UpperCAmelCase_   )







class   UpperCamelCase	(     snake_case       ):




	"""simple docstring"""






	def __init__(     self				,*UpperCAmelCase_				,**UpperCAmelCase_   ):
			_lowercase				: str     =   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"""				,UpperCAmelCase_				,standard_warn=UpperCAmelCase_   )
			super().__init__(*UpperCAmelCase_				,**UpperCAmelCase_   )







class   UpperCamelCase	(     snake_case       ):




	"""simple docstring"""






	def __init__(     self				,*UpperCAmelCase_				,**UpperCAmelCase_   ):
			_lowercase				: int     =   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"""				,UpperCAmelCase_				,standard_warn=UpperCAmelCase_   )
			super().__init__(*UpperCAmelCase_				,**UpperCAmelCase_   )







class   UpperCamelCase	(     snake_case       ):




	"""simple docstring"""






	def __init__(     self				,*UpperCAmelCase_				,**UpperCAmelCase_   ):
			_lowercase				: Optional[Any]     =   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"""				,UpperCAmelCase_				,standard_warn=UpperCAmelCase_   )
			super().__init__(*UpperCAmelCase_				,**UpperCAmelCase_   )







class   UpperCamelCase	(     snake_case       ):




	"""simple docstring"""






	def __init__(     self				,*UpperCAmelCase_				,**UpperCAmelCase_   ):
			_lowercase				: List[str]     =   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"""				,UpperCAmelCase_				,standard_warn=UpperCAmelCase_   )
			super().__init__(*UpperCAmelCase_				,**UpperCAmelCase_   )







class   UpperCamelCase	(     snake_case       ):




	"""simple docstring"""






	def __init__(     self				,*UpperCAmelCase_				,**UpperCAmelCase_   ):
			_lowercase				: str     =   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"""				,UpperCAmelCase_				,standard_warn=UpperCAmelCase_   )
			super().__init__(*UpperCAmelCase_				,**UpperCAmelCase_   )







class   UpperCamelCase	(     snake_case       ):




	"""simple docstring"""






	def __init__(     self				,*UpperCAmelCase_				,**UpperCAmelCase_   ):
			_lowercase				: Dict     =   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"""				,UpperCAmelCase_				,standard_warn=UpperCAmelCase_   )
			super().__init__(*UpperCAmelCase_				,**UpperCAmelCase_   )











'''simple docstring'''







import inspect
import os
import unittest

import torch

import accelerate
from accelerate import debug_launcher
from accelerate.test_utils import (
    execute_subprocess_async,
    require_cpu,
    require_multi_gpu,
    require_single_gpu,
    test_sync,
)
from accelerate.utils import patch_environment






class        a__     (      unittest.TestCase    ):
     '''simple docstring'''







     def      _UpperCamelCase (self     :						int       )	->							Optional[int]:
           __A		 =   inspect.getfile(accelerate.test_utils       )
           __A		 =   os.path.sep.join(mod_file.split(os.path.sep       )[:-1] + ["scripts", "test_sync.py"]       )






     @require_cpu
     def      _UpperCamelCase (self     :						str       )	->							Optional[Any]:
           debug_launcher(test_sync.main					,					num_processes=1       )






     @require_cpu
     def      _UpperCamelCase (self     :						Union[str, Any]       )	->							Optional[Any]:
           debug_launcher(test_sync.main       )






     @require_single_gpu
     def      _UpperCamelCase (self     :						Union[str, Any]       )	->							List[str]:
           test_sync.main()






     @require_multi_gpu
     def      _UpperCamelCase (self     :						Optional[int]       )	->							List[str]:
           print(f"Found {torch.cuda.device_count()} devices."       )
           __A		 =   ["torchrun", f"--nproc_per_node={torch.cuda.device_count()}", self.test_file_path]
           with patch_environment(omp_num_threads=1       ):
                 execute_subprocess_async(lowercase__					,					env=os.environ.copy()       )


