g^dZddlmZddlmZejeZGddeZdS)zBros model configuration)PretrainedConfig)loggingcJeZdZdZdZ dfd ZxZS) BrosConfiga 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 ```bros:w gelu皙?{Gz?-q=Y@c tjd||||||||| | | | | d |||_||_||_|jdz|_|j|jz|_|j|jz|_ ||_ dS)N) vocab_size hidden_sizenum_hidden_layersnum_attention_headsintermediate_size hidden_acthidden_dropout_probattention_probs_dropout_probmax_position_embeddingstype_vocab_sizeinitializer_rangelayer_norm_eps pad_token_id) super__init__dim_bbox bbox_scale n_relationsrdim_bbox_sinusoid_emb_2ddim_bbox_sinusoid_emb_1drdim_bbox_projectionclassifier_dropout_prob)selfrrrrrrrrrr r!r"r#r(r)r*r.kwargs __class__s g/var/www/html/ai-engine/env/lib/python3.11/site-packages/transformers/models/bros/configuration_bros.pyr'zBrosConfig.__init__[s*  !#/ 3/! 3)E$;+/)%     "! $&(,(8A(=%(,(E(V%#'#3t7O#O '>$$$)rr r r r r r r rrrrrrrrr )__name__ __module__ __qualname____doc__ model_typer' __classcell__)r1s@r2rrs> > @J%( # #%,?,?,?,?,?,?,?,?,?,?r3rN) r7configuration_utilsrutilsr get_loggerr4loggerrr%r3r2r>s333333  H % %o?o?o?o?o?!o?o?o?o?o?r3