codingutf8 2023present naver corp the microsoft research asia layoutlm team s and the huggingface inc team licensed under the apache license version 2 0 the license you may not use this file except in compliance with the license you may obtain a copy of the license at http www apache orglicenseslicense2 0 unless required by applicable law or agreed to in writing software distributed under the license is distributed on an as is basis without warranties or conditions of any kind either express or implied see the license for the specific language governing permissions and limitations under the license bros model configuration from configurationutils import pretrainedconfig from utils import logging logger logging getloggername brospretrainedconfigarchivemap jinho8345brosbaseuncased https huggingface cojinho8345brosbaseuncasedblobmainconfig json jinho8345broslargeuncased https huggingface cojinho8345broslargeuncasedblobmainconfig json class brosconfigpretrainedconfig r this is the configuration class to store the configuration of a brosmodel or a tfbrosmodel it is used to instantiate a bros model according to the specified arguments defining the model architecture instantiating a configuration with the defaults will yield a similar configuration to that of the bros jinho8345brosbaseuncasedhttps huggingface cojinho8345brosbaseuncased architecture configuration objects inherit from pretrainedconfig and can be used to control the model outputs read the documentation from pretrainedconfig for more information args vocabsize int optional defaults to 30522 vocabulary size of the bros model defines the number of different tokens that can be represented by the inputsids passed when calling brosmodel or tfbrosmodel hiddensize int optional defaults to 768 dimensionality of the encoder layers and the pooler layer numhiddenlayers int optional defaults to 12 number of hidden layers in the transformer encoder numattentionheads int optional defaults to 12 number of attention heads for each attention layer in the transformer encoder intermediatesize int optional defaults to 3072 dimensionality of the intermediate often named feedforward layer in the transformer encoder hiddenact str or callable optional defaults to gelu the nonlinear activation function function or string in the encoder and pooler if string gelu relu silu and gelunew are supported hiddendropoutprob float optional defaults to 0 1 the dropout probability for all fully connected layers in the embeddings encoder and pooler attentionprobsdropoutprob float optional defaults to 0 1 the dropout ratio for the attention probabilities maxpositionembeddings int optional defaults to 512 the maximum sequence length that this model might ever be used with typically set this to something large just in case e g 512 or 1024 or 2048 typevocabsize int optional defaults to 2 the vocabulary size of the tokentypeids passed when calling brosmodel or tfbrosmodel initializerrange float optional defaults to 0 02 the standard deviation of the truncatednormalinitializer for initializing all weight matrices layernormeps float optional defaults to 1e12 the epsilon used by the layer normalization layers padtokenid int optional defaults to 0 the index of the padding token in the token vocabulary dimbbox int optional defaults to 8 the dimension of the bounding box coordinates x0 y1 x1 y0 x1 y1 x0 y1 bboxscale float optional defaults to 100 0 the scale factor of the bounding box coordinates nrelations int optional defaults to 1 the number of relations for spadeeeentity extraction spadeelentity linking head classifierdropoutprob float optional defaults to 0 1 the dropout ratio for the classifier head examples python from transformers import brosconfig brosmodel initializing a bros jinho8345brosbaseuncased style configuration configuration brosconfig initializing a model from the jinho8345brosbaseuncased style configuration model brosmodelconfiguration accessing the model configuration configuration model config modeltype bros def init self vocabsize30522 hiddensize768 numhiddenlayers12 numattentionheads12 intermediatesize3072 hiddenactgelu hiddendropoutprob0 1 attentionprobsdropoutprob0 1 maxpositionembeddings512 typevocabsize2 initializerrange0 02 layernormeps1e12 padtokenid0 dimbbox8 bboxscale100 0 nrelations1 classifierdropoutprob0 1 kwargs super init vocabsizevocabsize hiddensizehiddensize numhiddenlayersnumhiddenlayers numattentionheadsnumattentionheads intermediatesizeintermediatesize hiddenacthiddenact hiddendropoutprobhiddendropoutprob attentionprobsdropoutprobattentionprobsdropoutprob maxpositionembeddingsmaxpositionembeddings typevocabsizetypevocabsize initializerrangeinitializerrange layernormepslayernormeps padtokenidpadtokenid kwargs self dimbbox dimbbox self bboxscale bboxscale self nrelations nrelations self dimbboxsinusoidemb2d self hiddensize 4 self dimbboxsinusoidemb1d self dimbboxsinusoidemb2d self dimbbox self dimbboxprojection self hiddensize self numattentionheads self classifierdropoutprob classifierdropoutprob coding utf 8 2023 present naver corp the microsoft research asia layoutlm team s and the huggingface inc team licensed under the apache license version 2 0 the license you may not use this file except in compliance with the license you may obtain a copy of the license at http www apache org licenses license 2 0 unless required by applicable law or agreed to in writing software distributed under the license is distributed on an as is basis without warranties or conditions of any kind either express or implied see the license for the specific language governing permissions and limitations under the license bros model configuration this is the configuration class to store the configuration of a brosmodel or a tfbrosmodel it is used to instantiate a bros model according to the specified arguments defining the model architecture instantiating a configuration with the defaults will yield a similar configuration to that of the bros jinho8345 bros base uncased https huggingface co jinho8345 bros base uncased architecture configuration objects inherit from pretrainedconfig and can be used to control the model outputs read the documentation from pretrainedconfig for more information args vocab_size int optional defaults to 30522 vocabulary size of the bros model defines the number of different tokens that can be represented by the inputs_ids passed when calling brosmodel or tfbrosmodel hidden_size int optional defaults to 768 dimensionality of the encoder layers and the pooler layer num_hidden_layers int optional defaults to 12 number of hidden layers in the transformer encoder num_attention_heads int optional defaults to 12 number of attention heads for each attention layer in the transformer encoder intermediate_size int optional defaults to 3072 dimensionality of the intermediate often named feed forward layer in the transformer encoder hidden_act str or callable optional defaults to gelu the non linear activation function function or string in the encoder and pooler if string gelu relu silu and gelu_new are supported hidden_dropout_prob float optional defaults to 0 1 the dropout probability for all fully connected layers in the embeddings encoder and pooler attention_probs_dropout_prob float optional defaults to 0 1 the dropout ratio for the attention probabilities max_position_embeddings int optional defaults to 512 the maximum sequence length that this model might ever be used with typically set this to something large just in case e g 512 or 1024 or 2048 type_vocab_size int optional defaults to 2 the vocabulary size of the token_type_ids passed when calling brosmodel or tfbrosmodel initializer_range float optional defaults to 0 02 the standard deviation of the truncated_normal_initializer for initializing all weight matrices layer_norm_eps float optional defaults to 1e 12 the epsilon used by the layer normalization layers pad_token_id int optional defaults to 0 the index of the padding token in the token vocabulary dim_bbox int optional defaults to 8 the dimension of the bounding box coordinates x0 y1 x1 y0 x1 y1 x0 y1 bbox_scale float optional defaults to 100 0 the scale factor of the bounding box coordinates n_relations int optional defaults to 1 the number of relations for spadeee entity extraction spadeel entity linking head classifier_dropout_prob float optional defaults to 0 1 the dropout ratio for the classifier head examples python from transformers import brosconfig brosmodel initializing a bros jinho8345 bros base uncased style configuration configuration brosconfig initializing a model from the jinho8345 bros base uncased style configuration model brosmodel configuration accessing the model configuration configuration model config
from ...configuration_utils import PretrainedConfig
from ...utils import logging


logger = logging.get_logger(__name__)

BROS_PRETRAINED_CONFIG_ARCHIVE_MAP = {
    "jinho8345/bros-base-uncased": "https://huggingface.co/jinho8345/bros-base-uncased/blob/main/config.json",
    "jinho8345/bros-large-uncased": "https://huggingface.co/jinho8345/bros-large-uncased/blob/main/config.json",
}


class BrosConfig(PretrainedConfig):
    r

    model_type = "bros"

    def __init__(
        self,
        vocab_size=30522,
        hidden_size=768,
        num_hidden_layers=12,
        num_attention_heads=12,
        intermediate_size=3072,
        hidden_act="gelu",
        hidden_dropout_prob=0.1,
        attention_probs_dropout_prob=0.1,
        max_position_embeddings=512,
        type_vocab_size=2,
        initializer_range=0.02,
        layer_norm_eps=1e-12,
        pad_token_id=0,
        dim_bbox=8,
        bbox_scale=100.0,
        n_relations=1,
        classifier_dropout_prob=0.1,
        **kwargs,
    ):
        super().__init__(
            vocab_size=vocab_size,
            hidden_size=hidden_size,
            num_hidden_layers=num_hidden_layers,
            num_attention_heads=num_attention_heads,
            intermediate_size=intermediate_size,
            hidden_act=hidden_act,
            hidden_dropout_prob=hidden_dropout_prob,
            attention_probs_dropout_prob=attention_probs_dropout_prob,
            max_position_embeddings=max_position_embeddings,
            type_vocab_size=type_vocab_size,
            initializer_range=initializer_range,
            layer_norm_eps=layer_norm_eps,
            pad_token_id=pad_token_id,
            **kwargs,
        )

        self.dim_bbox = dim_bbox
        self.bbox_scale = bbox_scale
        self.n_relations = n_relations
        self.dim_bbox_sinusoid_emb_2d = self.hidden_size // 4
        self.dim_bbox_sinusoid_emb_1d = self.dim_bbox_sinusoid_emb_2d // self.dim_bbox
        self.dim_bbox_projection = self.hidden_size // self.num_attention_heads
        self.classifier_dropout_prob = classifier_dropout_prob