






"""simple docstring"""



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


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

A__	:    Dict			 = {
    '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        lowercase__      (							snake_case__       ):
			_UpperCAmelCase		:Tuple             =			"yolos"


			def __init__(				self					:  Optional[int]       ,	snake_case__					:  Dict=768       ,	snake_case__					:  str=12       ,	snake_case__					:  Any=12       ,	snake_case__					:  List[Any]=3072       ,	snake_case__					:  int="gelu"       ,	snake_case__					:  Optional[int]=0.0       ,	snake_case__					:  List[str]=0.0       ,	snake_case__					:  List[Any]=0.02       ,	snake_case__					:  Optional[Any]=1E-12       ,	snake_case__					:  Any=[512, 864]       ,	snake_case__					:  Tuple=16       ,	snake_case__					:  Optional[int]=3       ,	snake_case__					:  Union[str, Any]=True       ,	snake_case__					:  Any=100       ,	snake_case__					:  Union[str, Any]=True       ,	snake_case__					:  str=False       ,	snake_case__					:  Union[str, Any]=1       ,	snake_case__					:  Union[str, Any]=5       ,	snake_case__					:  List[str]=2       ,	snake_case__					:  Optional[Any]=5       ,	snake_case__					:  str=2       ,	snake_case__					:  int=0.1       ,	**snake_case__					:  Optional[Any]       ,	):
										super().__init__(**snake_case__ )

										lowerCamelCase_	:							int									=hidden_size
										lowerCamelCase_	:							Any									=num_hidden_layers
										lowerCamelCase_	:							int									=num_attention_heads
										lowerCamelCase_	:							Dict									=intermediate_size
										lowerCamelCase_	:							Any									=hidden_act
										lowerCamelCase_	:							Tuple									=hidden_dropout_prob
										lowerCamelCase_	:							str									=attention_probs_dropout_prob
										lowerCamelCase_	:							Any									=initializer_range
										lowerCamelCase_	:							Any									=layer_norm_eps
										lowerCamelCase_	:							str									=image_size
										lowerCamelCase_	:							List[Any]									=patch_size
										lowerCamelCase_	:							List[Any]									=num_channels
										lowerCamelCase_	:							List[Any]									=qkv_bias
										lowerCamelCase_	:							Union[str, Any]									=num_detection_tokens
										lowerCamelCase_	:							str									=use_mid_position_embeddings
										lowerCamelCase_	:							Dict									=auxiliary_loss
										# Hungarian matcher
										lowerCamelCase_	:							List[str]									=class_cost
										lowerCamelCase_	:							Tuple									=bbox_cost
										lowerCamelCase_	:							List[Any]									=giou_cost
										# Loss coefficients
										lowerCamelCase_	:							Optional[Any]									=bbox_loss_coefficient
										lowerCamelCase_	:							int									=giou_loss_coefficient
										lowerCamelCase_	:							Optional[Any]									=eos_coefficient







class        lowercase__      (							snake_case__       ):
			_UpperCAmelCase		:Union[str, Any]             =			version.parse("1.11"       )


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


			@property
			def      UpperCAmelCase__						(				self					:  Optional[Any] ):
										return 1E-4


			@property
			def      UpperCAmelCase__						(				self					:  List[str] ):
										return 12











"""simple docstring"""



from typing import TYPE_CHECKING

from ...utils import _LazyModule


A__	:    Tuple			 = {'tokenization_byt5': ['ByT5Tokenizer']}


if TYPE_CHECKING:
						from .tokenization_byta import ByTaTokenizer
else:
						import sys

						A__	:    Dict			 = _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)



