





from .integrations import (
    is_optuna_available,
    is_ray_available,
    is_sigopt_available,
    is_wandb_available,
    run_hp_search_optuna,
    run_hp_search_ray,
    run_hp_search_sigopt,
    run_hp_search_wandb,
)
from .trainer_utils import (
    HPSearchBackend,
    default_hp_space_optuna,
    default_hp_space_ray,
    default_hp_space_sigopt,
    default_hp_space_wandb,
)
from .utils import logging


UpperCAmelCase_      							=     logging.get_logger(__name__)
class 			UpperCamelCase_		:
					lowerCAmelCase_							=	42
					lowerCAmelCase_							=	None




					@staticmethod
					def 	lowerCAmelCase			(		)		->							List[Any]:
										raise NotImplementedError




					def 	lowerCAmelCase			(		self				,						lowerCAmelCase_				,						lowerCAmelCase_				,						lowerCAmelCase_				,						**lowerCAmelCase_  )		->							Any:
										raise NotImplementedError




					def 	lowerCAmelCase			(		self				,						lowerCAmelCase_  )		->							Union[str, Any]:
										raise NotImplementedError




					def 	lowerCAmelCase			(		self  )		->							Tuple:
										if not self.is_available():
															raise RuntimeError(
															    F'''You picked the {self.name} backend, but it is not installed. Run {self.pip_install()}.'''  )






					@classmethod
					def 	lowerCAmelCase			(		cls  )		->							Tuple:
										return F'''`pip install {cls.pip_package or cls.name}`'''





class 			UpperCamelCase_		(  _lowerCamelCase					):
					lowerCAmelCase_							=	'''optuna'''




					@staticmethod
					def 	lowerCAmelCase			(		)		->							List[Any]:
										return is_optuna_available()




					def 	lowerCAmelCase			(		self				,						lowerCAmelCase_				,						lowerCAmelCase_				,						lowerCAmelCase_				,						**lowerCAmelCase_  )		->							Union[str, Any]:
										return run_hp_search_optuna(lowerCAmelCase_				,						lowerCAmelCase_				,						lowerCAmelCase_				,						**lowerCAmelCase_  )






					def 	lowerCAmelCase			(		self				,						lowerCAmelCase_  )		->							List[str]:
										return default_hp_space_optuna(lowerCAmelCase_  )





class 			UpperCamelCase_		(  _lowerCamelCase					):
					lowerCAmelCase_							=	'''ray'''
					lowerCAmelCase_							=	'''\'ray[tune]\''''




					@staticmethod
					def 	lowerCAmelCase			(		)		->							Union[str, Any]:
										return is_ray_available()




					def 	lowerCAmelCase			(		self				,						lowerCAmelCase_				,						lowerCAmelCase_				,						lowerCAmelCase_				,						**lowerCAmelCase_  )		->							int:
										return run_hp_search_ray(lowerCAmelCase_				,						lowerCAmelCase_				,						lowerCAmelCase_				,						**lowerCAmelCase_  )






					def 	lowerCAmelCase			(		self				,						lowerCAmelCase_  )		->							Optional[Any]:
										return default_hp_space_ray(lowerCAmelCase_  )





class 			UpperCamelCase_		(  _lowerCamelCase					):
					lowerCAmelCase_							=	'''sigopt'''




					@staticmethod
					def 	lowerCAmelCase			(		)		->							List[Any]:
										return is_sigopt_available()




					def 	lowerCAmelCase			(		self				,						lowerCAmelCase_				,						lowerCAmelCase_				,						lowerCAmelCase_				,						**lowerCAmelCase_  )		->							Any:
										return run_hp_search_sigopt(lowerCAmelCase_				,						lowerCAmelCase_				,						lowerCAmelCase_				,						**lowerCAmelCase_  )






					def 	lowerCAmelCase			(		self				,						lowerCAmelCase_  )		->							Dict:
										return default_hp_space_sigopt(lowerCAmelCase_  )





class 			UpperCamelCase_		(  _lowerCamelCase					):
					lowerCAmelCase_							=	'''wandb'''




					@staticmethod
					def 	lowerCAmelCase			(		)		->							Dict:
										return is_wandb_available()




					def 	lowerCAmelCase			(		self				,						lowerCAmelCase_				,						lowerCAmelCase_				,						lowerCAmelCase_				,						**lowerCAmelCase_  )		->							Dict:
										return run_hp_search_wandb(lowerCAmelCase_				,						lowerCAmelCase_				,						lowerCAmelCase_				,						**lowerCAmelCase_  )






					def 	lowerCAmelCase			(		self				,						lowerCAmelCase_  )		->							Any:
										return default_hp_space_wandb(lowerCAmelCase_  )





UpperCAmelCase_      							=     {
    HPSearchBackend(backend.name): backend for backend in [OptunaBackend, RayTuneBackend, SigOptBackend, WandbBackend]
}





def 						lowerCamelCase__     (     )			-> str:



					'''simple docstring'''




					_snake_case									=				[backend for backend in ALL_HYPERPARAMETER_SEARCH_BACKENDS.values() if backend.is_available()]
					if len(UpperCamelCase__						) > 0:
										_snake_case									=				available_backends[0].name
										if len(UpperCamelCase__						) > 1:
															logger.info(
															    F'''{len(UpperCamelCase__						)} hyperparameter search backends available. Using {name} as the default.'''						)
										return name
					raise RuntimeError(
					    'No hyperparameter search backend available.\n'
					    + '\n'.join(
					        F''' - To install {backend.name} run {backend.pip_install()}'''
					        for backend in ALL_HYPERPARAMETER_SEARCH_BACKENDS.values()						)						)










from ...configuration_utils import PretrainedConfig
from ...utils import logging


UpperCAmelCase_      							=     logging.get_logger(__name__)

UpperCAmelCase_      							=     {
    """sayakpaul/vit-msn-base""": """https://huggingface.co/sayakpaul/vit-msn-base/resolve/main/config.json""",
    # See all ViT MSN models at https://huggingface.co/models?filter=vit_msn
}
class 			UpperCamelCase_		(  _lowerCamelCase					):
					lowerCAmelCase_							=	'''vit_msn'''




					def __init__(		self				,						lowerCAmelCase_=768				,						lowerCAmelCase_=12				,						lowerCAmelCase_=12				,						lowerCAmelCase_=3072				,						lowerCAmelCase_="gelu"				,						lowerCAmelCase_=0.0				,						lowerCAmelCase_=0.0				,						lowerCAmelCase_=0.02				,						lowerCAmelCase_=1E-06				,						lowerCAmelCase_=224				,						lowerCAmelCase_=16				,						lowerCAmelCase_=3				,						lowerCAmelCase_=True				,						**lowerCAmelCase_				,						)		->							str:
										super().__init__(**lowerCAmelCase_  )

										_snake_case									=				hidden_size
										_snake_case									=				num_hidden_layers
										_snake_case									=				num_attention_heads
										_snake_case									=				intermediate_size
										_snake_case									=				hidden_act
										_snake_case									=				hidden_dropout_prob
										_snake_case									=				attention_probs_dropout_prob
										_snake_case									=				initializer_range
										_snake_case									=				layer_norm_eps
										_snake_case									=				image_size
										_snake_case									=				patch_size
										_snake_case									=				num_channels
										_snake_case									=				qkv_bias



