


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   :    List[Any]     =		logging.get_logger(__name__)







class        __lowercase       :



		"""simple docstring"""

		UpperCamelCase     :					str
		UpperCamelCase     :					str			       =		None







		@staticmethod
		def 					__A   ( )  -> List[Any]:







					'''simple docstring'''







					raise NotImplementedError







		def 					__A   ( self		,      A		,      A		,      A		,      **A	)  -> Optional[Any]:







					'''simple docstring'''







					raise NotImplementedError







		def 					__A   ( self		,      A	)  -> str:







					'''simple docstring'''







					raise NotImplementedError







		def 					__A   ( self	)  -> Optional[Any]:







					'''simple docstring'''







					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 					__A   ( cls	)  -> Union[str, Any]:







					'''simple docstring'''







					return F'`pip install {cls.pip_package or cls.name}`'







class        __lowercase       (							a_  ):



		"""simple docstring"""

		UpperCamelCase     :					str			       =		"optuna"







		@staticmethod
		def 					__A   ( )  -> Optional[int]:







					'''simple docstring'''







					return is_optuna_available()







		def 					__A   ( self		,      A		,      A		,      A		,      **A	)  -> Tuple:







					'''simple docstring'''







					return run_hp_search_optuna(A		,      A		,      A		,      **A	)







		def 					__A   ( self		,      A	)  -> Union[str, Any]:







					'''simple docstring'''







					return default_hp_space_optuna(A	)







class        __lowercase       (							a_  ):



		"""simple docstring"""

		UpperCamelCase     :					Union[str, Any]			       =		"ray"
		UpperCamelCase     :					Optional[Any]			       =		"'ray[tune]'"







		@staticmethod
		def 					__A   ( )  -> Tuple:







					'''simple docstring'''







					return is_ray_available()







		def 					__A   ( self		,      A		,      A		,      A		,      **A	)  -> List[Any]:







					'''simple docstring'''







					return run_hp_search_ray(A		,      A		,      A		,      **A	)







		def 					__A   ( self		,      A	)  -> int:







					'''simple docstring'''







					return default_hp_space_ray(A	)







class        __lowercase       (							a_  ):



		"""simple docstring"""

		UpperCamelCase     :					List[Any]			       =		"sigopt"







		@staticmethod
		def 					__A   ( )  -> Tuple:







					'''simple docstring'''







					return is_sigopt_available()







		def 					__A   ( self		,      A		,      A		,      A		,      **A	)  -> Any:







					'''simple docstring'''







					return run_hp_search_sigopt(A		,      A		,      A		,      **A	)







		def 					__A   ( self		,      A	)  -> Any:







					'''simple docstring'''







					return default_hp_space_sigopt(A	)







class        __lowercase       (							a_  ):



		"""simple docstring"""

		UpperCamelCase     :					Tuple			       =		"wandb"







		@staticmethod
		def 					__A   ( )  -> Tuple:







					'''simple docstring'''







					return is_wandb_available()







		def 					__A   ( self		,      A		,      A		,      A		,      **A	)  -> Tuple:







					'''simple docstring'''







					return run_hp_search_wandb(A		,      A		,      A		,      **A	)







		def 					__A   ( self		,      A	)  -> List[str]:







					'''simple docstring'''







					return default_hp_space_wandb(A	)






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






def 	__lowerCamelCase						(							):





			'''simple docstring'''




			lowerCamelCase    		=  [backend for backend in ALL_HYPERPARAMETER_SEARCH_BACKENDS.values() if backend.is_available()]
			if len(lowerCamelCase__      ) > 0:
						lowerCamelCase    		=  available_backends[0].name
						if len(lowerCamelCase__      ) > 1:
									logger.info(
									    f'{len(lowerCamelCase__      )} 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   :    str     =		logging.get_logger(__name__)

UpperCAmelCase   :    List[Any]     =		{
    "facebook/vit-mae-base": "https://huggingface.co/facebook/vit-mae-base/resolve/main/config.json",
    # See all ViT MAE models at https://huggingface.co/models?filter=vit-mae
}







class        __lowercase       (							a_  ):



		"""simple docstring"""

		UpperCamelCase     :					Optional[Any]			       =		"vit_mae"







		def __init__( self		,      A=7_68		,      A=12		,      A=12		,      A=30_72		,      A="gelu"		,      A=0.0		,      A=0.0		,      A=0.02		,      A=1e-1_2		,      A=2_24		,      A=16		,      A=3		,      A=True		,      A=16		,      A=5_12		,      A=8		,      A=20_48		,      A=0.75		,      A=False		,      **A		,      )  -> Dict:







					'''simple docstring'''







					super().__init__(**A	)

					lowerCamelCase    		=  hidden_size
					lowerCamelCase    		=  num_hidden_layers
					lowerCamelCase    		=  num_attention_heads
					lowerCamelCase    		=  intermediate_size
					lowerCamelCase    		=  hidden_act
					lowerCamelCase    		=  hidden_dropout_prob
					lowerCamelCase    		=  attention_probs_dropout_prob
					lowerCamelCase    		=  initializer_range
					lowerCamelCase    		=  layer_norm_eps
					lowerCamelCase    		=  image_size
					lowerCamelCase    		=  patch_size
					lowerCamelCase    		=  num_channels
					lowerCamelCase    		=  qkv_bias
					lowerCamelCase    		=  decoder_num_attention_heads
					lowerCamelCase    		=  decoder_hidden_size
					lowerCamelCase    		=  decoder_num_hidden_layers
					lowerCamelCase    		=  decoder_intermediate_size
					lowerCamelCase    		=  mask_ratio
					lowerCamelCase    		=  norm_pix_loss

