o ¾e¦iË!ã@s\dZddlmZddlmZddlmZddlmZm Z e  e ¡Z Gdd„deƒZ dgZd S) zFuyu model configurationé)ÚPreTrainedConfig)ÚRopeParameters)Úloggingé)ÚCONFIG_MAPPINGÚ AutoConfigc0s,eZdZdZdZdeiZdgZdZ                  d0de dBde dBde dBde dBde dBde dBde dBde dBd e dBd!e dBd"e dBd#e dBd$e dBd%e dBd&e ee e fBdBd'e dBd(e dBd)e dBd*e dBd+e dBd,e dBd-e dBdedBf.‡fd.d/„ Z‡ZS)1Ú 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() ```ÚfuyuÚ text_configÚpast_key_valuesgjØ@ééé@é$é@Úrelu2é,érç{®Gáz”?çñh㈵øä>TFNçérécÚ vocab_sizeÚ hidden_sizeÚintermediate_sizeÚnum_hidden_layersÚnum_attention_headsÚ hidden_actÚmax_position_embeddingsÚ image_sizeÚ patch_sizeÚ num_channelsÚinitializer_rangeÚlayer_norm_epsÚ use_cacheÚtie_word_embeddingsÚrope_parametersÚ qk_layernormÚhidden_dropoutÚattention_dropoutÚ pad_token_idÚ bos_token_idÚ eos_token_idÚimage_token_idc sB|dur>id|“d|“d|“d|“d|“d|“d|“d| “d | “d | “d |“d |“d |“d|“d|“d|“d|“}t d¡| dd¡}t|di|¤Ž|_||_||_||_| |_| |_ ||_ ||_ ||_ ||_ ||_| |_| |_| |_||_||_||_||_||_| dd¡||_||_||_||_tƒjdi|¤ŽdS)Nrrrrrrrr#r$r%r'r(r)r*r+r,r-zEtext_config is None. initializing the text model with default values.Ú model_typeÚ persimmonÚpartial_rotary_factorgà?©)ÚloggerÚinfoÚgetrr Ú _vocab_sizerr r!r"rrrrrr#r$r%r(r)r*r.r'Ú setdefaultr&r+r,r-ÚsuperÚ__init__)Úselfrrrrrrrr r!r"r#r$r%r&r'r(r)r*r+r,r-r.r ÚkwargsÚtext_model_type©Ú __class__r2úi/home/ubuntu/transcripts/venv/lib/python3.10/site-packages/transformers/models/fuyu/configuration_fuyu.pyr9ds~ÿþýüûúùø ÷ ö õ ô óòñðï   zFuyuConfig.__init__)r r rrrrrrrrrrTFNTrrNrrrN)Ú__name__Ú __module__Ú __qualname__Ú__doc__r/rÚ sub_configsÚkeys_to_ignore_at_inferenceÚ default_thetaÚintÚstrÚfloatÚboolrÚdictr9Ú __classcell__r2r2r=r?rs˜Eèþýüûúùø ÷ ö õ ô óòñðïîíìëêéèrN)rCÚconfiguration_utilsrÚmodeling_rope_utilsrÚutilsrÚautorrÚ get_loggerr@r3rÚ__all__r2r2r2r?Ús