'''simple docstring'''
from ...configuration_utils import PretrainedConfig
from ...utils import is_detectrona_available, logging


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

_A		:			int	      ={
    '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 _lowerCAmelCase (  _UpperCAmelCase				):
      UpperCAmelCase_  :	Optional[Any]     =					"layoutlmv2"







      def __init__(     self     ,						lowercase=3_0522     ,						lowercase=768     ,						lowercase=12     ,						lowercase=12     ,						lowercase=3072     ,						lowercase="gelu"     ,						lowercase=0.1     ,						lowercase=0.1     ,						lowercase=512     ,						lowercase=2     ,						lowercase=0.02     ,						lowercase=1e-12     ,						lowercase=0     ,						lowercase=1024     ,						lowercase=128     ,						lowercase=32     ,						lowercase=True     ,						lowercase=256     ,						lowercase=64     ,						lowercase=True     ,						lowercase=[7, 7, 256]     ,						lowercase=128     ,						lowercase=128     ,						lowercase=True     ,						lowercase=True     ,						lowercase=False     ,						lowercase=None     ,						**lowercase     ,						):
        super().__init__(
            vocab_size=lowercase     ,						hidden_size=lowercase     ,						num_hidden_layers=lowercase     ,						num_attention_heads=lowercase     ,						intermediate_size=lowercase     ,						hidden_act=lowercase     ,						hidden_dropout_prob=lowercase     ,						attention_probs_dropout_prob=lowercase     ,						max_position_embeddings=lowercase     ,						type_vocab_size=lowercase     ,						initializer_range=lowercase     ,						layer_norm_eps=lowercase     ,						pad_token_id=lowercase     ,						**lowercase     ,						)
        lowercase							:       Any											=      max_ad_position_embeddings
        lowercase							:       Dict											=      max_rel_pos
        lowercase							:       Dict											=      rel_pos_bins
        lowercase							:       Optional[Any]											=      fast_qkv
        lowercase							:       str											=      max_rel_ad_pos
        lowercase							:       List[Any]											=      rel_ad_pos_bins
        lowercase							:       List[str]											=      convert_sync_batchnorm
        lowercase							:       Any											=      image_feature_pool_shape
        lowercase							:       List[Any]											=      coordinate_size
        lowercase							:       Any											=      shape_size
        lowercase							:       List[str]											=      has_relative_attention_bias
        lowercase							:       Tuple											=      has_spatial_attention_bias
        lowercase							:       Dict											=      has_visual_segment_embedding
        lowercase							:       List[Any]											=      (
            detectrona_config_args if detectrona_config_args is not None else self.get_default_detectrona_config()
        )







      @classmethod
      def     lowerCamelCase__			(     self    ):
        return {
            "MODEL.MASK_ON": True,
            "MODEL.PIXEL_STD": [57.375, 57.120, 58.395],
            "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     lowerCamelCase__			(     self    ):
        lowercase							:       Any											=      detectrona.config.get_cfg()
        for k, v in self.detectrona_config_args.items():
          lowercase							:       int											=      k.split('''.'''    )
          lowercase							:       Union[str, Any]											=      detectrona_config
          for attribute in attributes[:-1]:
            lowercase							:       str											=      getattr(lowercase     ,						lowercase    )
          setattr(lowercase     ,						attributes[-1]     ,						lowercase    )

        return detectrona_config
'''simple docstring'''
import warnings

from ...utils import logging
from .image_processing_layoutlmva import LayoutLMvaImageProcessor


_A		:			Optional[int]	      =logging.get_logger(__name__)




class _lowerCAmelCase (  snake_case				):







      def __init__(     self     ,						*lowercase     ,						**lowercase    ):
        warnings.warn(
            '''The class LayoutLMv3FeatureExtractor is deprecated and will be removed in version 5 of Transformers.'''
            ''' Please use LayoutLMv3ImageProcessor instead.'''     ,						lowercase     ,						)
        super().__init__(*lowercase     ,						**lowercase    )