




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


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

lowerCamelCase__					:  Optional[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 			lowerCamelCase_				( _SCREAMING_SNAKE_CASE   ):


 '''simple docstring'''







 lowercase_							       =       "yolos"



 def __init__(				self    :						int							,							_lowerCAmelCase    :						Any=768							,							_lowerCAmelCase    :						Optional[Any]=12							,							_lowerCAmelCase    :						Any=12							,							_lowerCAmelCase    :						List[str]=3_072							,							_lowerCAmelCase    :						List[Any]="gelu"							,							_lowerCAmelCase    :						Optional[int]=0.0							,							_lowerCAmelCase    :						List[Any]=0.0							,							_lowerCAmelCase    :						Union[str, Any]=0.02							,							_lowerCAmelCase    :						Optional[int]=1E-12							,							_lowerCAmelCase    :						List[str]=[512, 864]							,							_lowerCAmelCase    :						Optional[Any]=16							,							_lowerCAmelCase    :						List[str]=3							,							_lowerCAmelCase    :						str=True							,							_lowerCAmelCase    :						int=100							,							_lowerCAmelCase    :						int=True							,							_lowerCAmelCase    :						Any=False							,							_lowerCAmelCase    :						List[Any]=1							,							_lowerCAmelCase    :						Union[str, Any]=5							,							_lowerCAmelCase    :						Optional[Any]=2							,							_lowerCAmelCase    :						List[Any]=5							,							_lowerCAmelCase    :						int=2							,							_lowerCAmelCase    :						int=0.1							,							**_lowerCAmelCase    :						Dict							,							):
       super().__init__(**_lowerCAmelCase		)

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





class 			lowerCamelCase_				( _SCREAMING_SNAKE_CASE   ):


 '''simple docstring'''







 lowercase_							       =       version.parse("1.11"   )



 @property
 def  lowerCAmelCase_    (				self    :						List[Any]		):
       return OrderedDict(
           [
               ('pixel_values', {0: 'batch', 1: 'num_channels', 2: 'height', 3: 'width'}),
           ]		)



 @property
 def  lowerCAmelCase_    (				self    :						Tuple		):
       return 1E-4




 @property
 def  lowerCAmelCase_    (				self    :						List[str]		):
       return 12
'''simple docstring'''

import warnings


warnings.warn(
    'memory_utils has been reorganized to utils.memory. Import `find_executable_batchsize` from the main `__init__`: '
    '`from accelerate import find_executable_batch_size` to avoid this warning.',
    FutureWarning,
)




