


"""simple docstring"""




import logging
import os

from .state import PartialState
class 					__lowerCAmelCase					(   logging.LoggerAdapter       ):


		'''simple docstring'''



		@staticmethod
		def 			__UpperCAmelCase       (  _a      ):
				__a           =			PartialState()
				return not main_process_only or (main_process_only and state.is_main_process)





		def 			__UpperCAmelCase       (  self							, _a							, _a							, *_a							, **_a      ):
				if PartialState._shared_state == {}:
						raise RuntimeError(
						    '''You must initialize the accelerate state by calling either `PartialState()` or `Accelerator()` before using the logging utility.'''      )
				__a           =			kwargs.pop('''main_process_only'''							, _a      )
				__a           =			kwargs.pop('''in_order'''							, _a      )

				if self.isEnabledFor(_a      ):
						if self._should_log(_a      ):
								__a      ,     __a           =			self.process(_a							, _a      )
								self.logger.log(_a							, _a							, *_a							, **_a      )

						elif in_order:
								__a           =			PartialState()
								for i in range(state.num_processes      ):
										if i == state.process_index:
												__a      ,     __a           =			self.process(_a							, _a      )
												self.logger.log(_a							, _a							, *_a							, **_a      )
										state.wait_for_everyone()







def        lowercase							(		lowerCAmelCase__ :     str    ,					lowerCAmelCase__ :     str = None			) ->      Any:
		if log_level is None:
				__a           =			os.environ.get('''ACCELERATE_LOG_LEVEL'''    ,					lowerCAmelCase__			)
		__a           =			logging.getLogger(lowerCAmelCase__			)
		if log_level is not None:
				logger.setLevel(log_level.upper()			)
				logger.root.setLevel(log_level.upper()			)
		return MultiProcessAdapter(lowerCAmelCase__    ,					{}			)








from collections import OrderedDict
from typing import Mapping

from packaging import version

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


SCREAMING_SNAKE_CASE							:Optional[Any]							 =				logging.get_logger(__name__)

SCREAMING_SNAKE_CASE							:List[Any]							 =				{
    'hustvl/yolos-small': 'https://huggingface.co/hustvl/yolos-small/resolve/main/config.json',
    # See all YOLOS models at https://huggingface.co/models?filter=yolos
}





class 							UpperCAmelCase      (  __SCREAMING_SNAKE_CASE  ):




	'''simple docstring'''





	snake_case_					    =     "yolos"






	def __init__(       self					: Any							,A					: Optional[Any]=7_68							,A					: Dict=12							,A					: Any=12							,A					: str=30_72							,A					: Any="gelu"							,A					: str=0.0							,A					: List[str]=0.0							,A					: Dict=0.02							,A					: int=1E-12							,A					: Tuple=[5_12, 8_64]							,A					: List[Any]=16							,A					: str=3							,A					: str=True							,A					: Any=1_00							,A					: Dict=True							,A					: Dict=False							,A					: Tuple=1							,A					: Union[str, Any]=5							,A					: Optional[Any]=2							,A					: Union[str, Any]=5							,A					: int=2							,A					: int=0.1							,**A					: List[str]							,):
					super().__init__(**A )

					__A   			= hidden_size
					__A   			= num_hidden_layers
					__A   			= num_attention_heads
					__A   			= intermediate_size
					__A   			= hidden_act
					__A   			= hidden_dropout_prob
					__A   			= attention_probs_dropout_prob
					__A   			= initializer_range
					__A   			= layer_norm_eps
					__A   			= image_size
					__A   			= patch_size
					__A   			= num_channels
					__A   			= qkv_bias
					__A   			= num_detection_tokens
					__A   			= use_mid_position_embeddings
					__A   			= auxiliary_loss
					# Hungarian matcher
					__A   			= class_cost
					__A   			= bbox_cost
					__A   			= giou_cost
					# Loss coefficients
					__A   			= bbox_loss_coefficient
					__A   			= giou_loss_coefficient
					__A   			= eos_coefficient





class 							UpperCAmelCase      (  __SCREAMING_SNAKE_CASE  ):




	'''simple docstring'''





	snake_case_					    =     version.parse("1.11"  )






	@property
	def 				UpperCamelCase_  (       self					: str ):
					return OrderedDict(
					    [
					        ("pixel_values", {0: "batch", 1: "num_channels", 2: "height", 3: "width"}),
					    ] )






	@property
	def 				UpperCamelCase_  (       self					: List[Any] ):
					return 1E-4







	@property
	def 				UpperCamelCase_  (       self					: Optional[Any] ):
					return 12
