qi!|dZddlmZddlmZddlmZddlmZm Z eje Z GddeZ dgZy ) zFuyu model configuration)PreTrainedConfig)RopeParameters)logging)CONFIG_MAPPING AutoConfigc0`eZdZdZdZdeiZdgZdZ dde dzde dzd e dzd e dzd e dzd e dzd e dzde dzde dzde dzde dzde dzde dzde dzde ee e fzdzde dzde dzde dzde dzde dzde dzde dzdedzf.fd ZxZS) FuyuConfiga_ This is the configuration class to store the configuration of a [`FuyuForCausalLM`]. It is used to instantiate an Fuyu 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 [adept/fuyu-8b](https://huggingface.co/adept/fuyu-8b). 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 262144): Vocabulary size of the Fuyu model. Defines the number of different tokens that can be represented by the `inputs_ids` passed when calling [`FuyuForCausalLM`] hidden_size (`int`, *optional*, defaults to 4096): Dimension of the hidden representations. intermediate_size (`int`, *optional*, defaults to 16384): Dimension of the MLP representations. num_hidden_layers (`int`, *optional*, defaults to 36): Number of hidden layers in the Transformer encoder. num_attention_heads (`int`, *optional*, defaults to 64): Number of attention heads for each attention layer in the Transformer encoder. hidden_act (`str` or `function`, *optional*, defaults to `"relu2"`): The non-linear activation function (function or string) in the decoder. max_position_embeddings (`int`, *optional*, defaults to 16384): The maximum sequence length that this model might ever be used with. image_size (`int`, *optional*, defaults to 300): The input image size. patch_size (`int`, *optional*, defaults to 30): The input vision transformer encoding patch size. num_channels (`int`, *optional*, defaults to 3): The input image number of channels. 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-05): The epsilon used by the rms normalization layers. use_cache (`bool`, *optional*, defaults to `True`): Whether or not the model should return the last key/values attentions (not used by all models). Only relevant if `config.is_decoder=True`. Whether to tie weight embeddings tie_word_embeddings (`bool`, *optional*, defaults to `False`): Whether to tie input and output embeddings. rope_parameters (`RopeParameters`, *optional*): Dictionary containing the configuration parameters for the RoPE embeddings. The dictionary should contain a value for `rope_theta` and optionally parameters used for scaling in case you want to use RoPE with longer `max_position_embeddings`. qk_layernorm (`bool`, *optional*, defaults to `True`): Whether or not to normalize the Queries and Keys after projecting the hidden states hidden_dropout (`float`, *optional*, defaults to 0.0): The dropout ratio after applying the MLP to the hidden states. attention_dropout (`float`, *optional*, defaults to 0.0): The dropout ratio after computing the attention scores. pad_token_id (`int`, *optional*): The id of the *padding* token. bos_token_id (`int`, *optional*, defaults to 1): The id of the *beginning-of-sequence* token. eos_token_id (`Union[int, list[int]]`, *optional*, defaults to 2): The id of the *end-of-sequence* token. Optionally, use a list to set multiple *end-of-sequence* tokens. image_token_id (`int`, *optional*, defaults to 71011): The id of the image placeholder token. text_config (`dict`, *optional*): Dictionary of configuration options used to initialize the `language``[`Aut`]. ```python >>> from transformers import FuyuConfig >>> # Initializing a Fuyu fuyu-7b style configuration >>> configuration = FuyuConfig() ```fuyu text_configpast_key_valuesgj@N vocab_size hidden_sizeintermediate_sizenum_hidden_layersnum_attention_heads hidden_actmax_position_embeddings image_size patch_size num_channelsinitializer_rangelayer_norm_eps use_cachetie_word_embeddingsrope_parameters qk_layernormhidden_dropoutattention_dropout pad_token_id bos_token_id eos_token_idimage_token_idc ^|Jid|d|d|d|d|d|d|d| d | d | d |d |d |d|d|d|d|}tjd|jdd}t|di||_||_||_||_| |_| |_ ||_ ||_ ||_ ||_ ||_| |_| |_| |_||_||_||_||_||_|j/dd||_||_||_||_t9|tdi|y)Nrrrrrrrrrrrrrrr r!r"zEtext_config is None. initializing the text model with default values. model_type persimmonpartial_rotary_factorg?)loggerinfogetrr _vocab_sizerrrrrrrrrrrrrrrr#r setdefaultrr r!r"super__init__)selfrrrrrrrrrrrrrrrrrrr r!r"r#r kwargstext_model_type __class__s ]/opt/pipecat/venv/lib/python3.12/site-packages/transformers/models/fuyu/configuration_fuyu.pyr/zFuyuConfig.__init__ds6  j)+B{$%6  $%6  &': j$%6!.Y"? !.$%6   !" #K& KK_ `%//, D)/:I[I%'>$$$(&!2!2#6 $!2,"(,!2,.137#6 ((( "6")ii@$@relu2r6i,rg{Gz?gh㈵>TFNTr;NricN)__name__ __module__ __qualname____doc__r%r sub_configskeys_to_ignore_at_inference default_thetaintstrfloatboolrdictr/ __classcell__)r3s@r4r r sC JJ *-K#4"5M"("&(-(**,!(.3!$!##$*.%)!%+0MQ$('**-#'#$#$%*#'1K#$JK#4ZK#: K# : K# !4Z K#$JK#"%tK#$JK#$JK#DjK#!4<K#d K#$;K#"D[K# ($sN/B*CCdJ!K#"Tk#K#$ %K#&!4<'K#(Dj)K#*Dj+K#,Dj-K#.d /K#0D[1K#K#r5r N)r@configuration_utilsrmodeling_rope_utilsrutilsrautorr get_loggerr=r)r __all__r(r5r4rPsC31-   H %V#!V#r .r5