
from ...configuration_utils import PretrainedConfig
from ...utils import is_detectrona_available, logging


lowercase__				:				int						=      logging.get_logger(__name__)

lowercase__				:				List[Any]						=      {
    "layoutlmv2-base-uncased": "https://huggingface.co/microsoft/layoutlmv2-base-uncased/resolve/main/config.json",
    "layoutlmv2-large-uncased": "https://huggingface.co/microsoft/layoutlmv2-large-uncased/resolve/main/config.json",
    # See all LayoutLMv2 models at https://huggingface.co/models?filter=layoutlmv2
}

# soft dependency
if is_detectrona_available():
				import detectrona






class 							SCREAMING_SNAKE_CASE__     (				SCREAMING_SNAKE_CASE_     ):

							"""simple docstring"""






							_snake_case  		=	'layoutlmv2'



							def __init__(	self  ,						SCREAMING_SNAKE_CASE_=30522  ,						SCREAMING_SNAKE_CASE_=768  ,						SCREAMING_SNAKE_CASE_=12  ,						SCREAMING_SNAKE_CASE_=12  ,						SCREAMING_SNAKE_CASE_=3072  ,						SCREAMING_SNAKE_CASE_="gelu"  ,						SCREAMING_SNAKE_CASE_=0.1  ,						SCREAMING_SNAKE_CASE_=0.1  ,						SCREAMING_SNAKE_CASE_=512  ,						SCREAMING_SNAKE_CASE_=2  ,						SCREAMING_SNAKE_CASE_=0.0_2  ,						SCREAMING_SNAKE_CASE_=1E-12  ,						SCREAMING_SNAKE_CASE_=0  ,						SCREAMING_SNAKE_CASE_=1024  ,						SCREAMING_SNAKE_CASE_=128  ,						SCREAMING_SNAKE_CASE_=32  ,						SCREAMING_SNAKE_CASE_=True  ,						SCREAMING_SNAKE_CASE_=256  ,						SCREAMING_SNAKE_CASE_=64  ,						SCREAMING_SNAKE_CASE_=True  ,						SCREAMING_SNAKE_CASE_=[7, 7, 256]  ,						SCREAMING_SNAKE_CASE_=128  ,						SCREAMING_SNAKE_CASE_=128  ,						SCREAMING_SNAKE_CASE_=True  ,						SCREAMING_SNAKE_CASE_=True  ,						SCREAMING_SNAKE_CASE_=False  ,						SCREAMING_SNAKE_CASE_=None  ,						**SCREAMING_SNAKE_CASE_  ,						)-> int:





													'''simple docstring'''






													super().__init__(
													    vocab_size=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_  ,						max_position_embeddings=SCREAMING_SNAKE_CASE_  ,						type_vocab_size=SCREAMING_SNAKE_CASE_  ,						initializer_range=SCREAMING_SNAKE_CASE_  ,						layer_norm_eps=SCREAMING_SNAKE_CASE_  ,						pad_token_id=SCREAMING_SNAKE_CASE_  ,						**SCREAMING_SNAKE_CASE_  ,						)
													__UpperCamelCase  	=      max_ad_position_embeddings
													__UpperCamelCase  	=      max_rel_pos
													__UpperCamelCase  	=      rel_pos_bins
													__UpperCamelCase  	=      fast_qkv
													__UpperCamelCase  	=      max_rel_ad_pos
													__UpperCamelCase  	=      rel_ad_pos_bins
													__UpperCamelCase  	=      convert_sync_batchnorm
													__UpperCamelCase  	=      image_feature_pool_shape
													__UpperCamelCase  	=      coordinate_size
													__UpperCamelCase  	=      shape_size
													__UpperCamelCase  	=      has_relative_attention_bias
													__UpperCamelCase  	=      has_spatial_attention_bias
													__UpperCamelCase  	=      has_visual_segment_embedding
													__UpperCamelCase  	=      (
													    detectrona_config_args if detectrona_config_args is not None else self.get_default_detectrona_config()
													)



							@classmethod
							def      A__		(	self      )-> Optional[int]:





													'''simple docstring'''






													return {
													    "MODEL.MASK_ON": True,
													    "MODEL.PIXEL_STD": [5_7.3_7_5, 5_7.1_2_0, 5_8.3_9_5],
													    "MODEL.BACKBONE.NAME": "build_resnet_fpn_backbone",
													    "MODEL.FPN.IN_FEATURES": ["res2", "res3", "res4", "res5"],
													    "MODEL.ANCHOR_GENERATOR.SIZES": [[32], [64], [128], [256], [512]],
													    "MODEL.RPN.IN_FEATURES": ["p2", "p3", "p4", "p5", "p6"],
													    "MODEL.RPN.PRE_NMS_TOPK_TRAIN": 2000,
													    "MODEL.RPN.PRE_NMS_TOPK_TEST": 1000,
													    "MODEL.RPN.POST_NMS_TOPK_TRAIN": 1000,
													    "MODEL.POST_NMS_TOPK_TEST": 1000,
													    "MODEL.ROI_HEADS.NAME": "StandardROIHeads",
													    "MODEL.ROI_HEADS.NUM_CLASSES": 5,
													    "MODEL.ROI_HEADS.IN_FEATURES": ["p2", "p3", "p4", "p5"],
													    "MODEL.ROI_BOX_HEAD.NAME": "FastRCNNConvFCHead",
													    "MODEL.ROI_BOX_HEAD.NUM_FC": 2,
													    "MODEL.ROI_BOX_HEAD.POOLER_RESOLUTION": 14,
													    "MODEL.ROI_MASK_HEAD.NAME": "MaskRCNNConvUpsampleHead",
													    "MODEL.ROI_MASK_HEAD.NUM_CONV": 4,
													    "MODEL.ROI_MASK_HEAD.POOLER_RESOLUTION": 7,
													    "MODEL.RESNETS.DEPTH": 101,
													    "MODEL.RESNETS.SIZES": [[32], [64], [128], [256], [512]],
													    "MODEL.RESNETS.ASPECT_RATIOS": [[0.5, 1.0, 2.0]],
													    "MODEL.RESNETS.OUT_FEATURES": ["res2", "res3", "res4", "res5"],
													    "MODEL.RESNETS.NUM_GROUPS": 32,
													    "MODEL.RESNETS.WIDTH_PER_GROUP": 8,
													    "MODEL.RESNETS.STRIDE_IN_1X1": False,
													}



							def      A__		(	self      )-> Optional[int]:





													'''simple docstring'''






													__UpperCamelCase  	=      detectrona.config.get_cfg()
													for k, v in self.detectrona_config_args.items():
																			__UpperCamelCase  	=      k.split('''.'''      )
																			__UpperCamelCase  	=      detectrona_config
																			for attribute in attributes[:-1]:
																									__UpperCamelCase  	=      getattr(SCREAMING_SNAKE_CASE_  ,						SCREAMING_SNAKE_CASE_      )
																			setattr(SCREAMING_SNAKE_CASE_  ,						attributes[-1]  ,						SCREAMING_SNAKE_CASE_      )

													return detectrona_config







"""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


SCREAMING_SNAKE_CASE_       :						Union[str, Any]					=    logging.get_logger(__name__)

SCREAMING_SNAKE_CASE_       :						Union[str, Any]					=    {
    'MBZUAI/swiftformer-xs': 'https://huggingface.co/MBZUAI/swiftformer-xs/resolve/main/config.json',
}



class        a    (							_lowerCamelCase					):



    """simple docstring"""



    UpperCAmelCase    			=       "swiftformer"

    def __init__(  self:			Tuple     ,    UpperCamelCase:			int=3     ,    UpperCamelCase:			Union[str, Any]=[3, 3, 6, 4]     ,    UpperCamelCase:			List[str]=[48, 56, 1_12, 2_20]     ,    UpperCamelCase:			List[Any]=4     ,    UpperCamelCase:			List[Any]=[True, True, True, True]     ,    UpperCamelCase:			str="gelu"     ,    UpperCamelCase:			Tuple=3     ,    UpperCamelCase:			Dict=2     ,    UpperCamelCase:			int=1     ,    UpperCamelCase:			List[Any]=0.0     ,    UpperCamelCase:			Any=True     ,    UpperCamelCase:			List[Any]=1e-5     ,    UpperCamelCase:			List[Any]=1e-5     ,    **UpperCamelCase:			Any     ,    ):






         """simple docstring"""


         super().__init__(**UpperCamelCase							)
         A__				      =	num_channels
         A__				      =	depths
         A__				      =	embed_dims
         A__				      =	mlp_ratio
         A__				      =	downsamples
         A__				      =	hidden_act
         A__				      =	down_patch_size
         A__				      =	down_stride
         A__				      =	down_pad
         A__				      =	drop_path_rate
         A__				      =	use_layer_scale
         A__				      =	layer_scale_init_value
         A__				      =	batch_norm_eps



class        a    (							_lowerCamelCase					):



    """simple docstring"""



    UpperCAmelCase    			=       version.parse("1.11"					)

    @property
    def 					UpperCamelCase						(  self:			int							):






         """simple docstring"""


         return OrderedDict(
             [
                 ("""pixel_values""", {0: """batch""", 1: """num_channels""", 2: """height""", 3: """width"""}),
             ]							)





    @property
    def 					UpperCamelCase						(  self:			Any							):






         """simple docstring"""


         return 1e-4






