fTh.~SrSSKJrJr SSKJr SSKJrJr SSK J r J r \R"\ 5rSr"S S \5r\"\R#S S S 9S5"SS \55r\"\R#SSS 9S5"SS\55r\"\R#SSS 9S5"SS\55r"SS\5r/SQrg)zBARK model configuration)DictOptional)PretrainedConfig)add_start_docstringslogging)CONFIG_MAPPING AutoConfiga This is the configuration class to store the configuration of a [`{model}`]. It is used to instantiate the 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 Bark [suno/bark](https://huggingface.co/suno/bark) architecture. Configuration objects inherit from [`PretrainedConfig`] and can be used to control the model outputs. Read the documentation from [`PretrainedConfig`] for more information. Args: block_size (`int`, *optional*, defaults to 1024): 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). input_vocab_size (`int`, *optional*, defaults to 10_048): Vocabulary size of a Bark sub-model. Defines the number of different tokens that can be represented by the `inputs_ids` passed when calling [`{model}`]. Defaults to 10_048 but should be carefully thought with regards to the chosen sub-model. output_vocab_size (`int`, *optional*, defaults to 10_048): Output vocabulary size of a Bark sub-model. Defines the number of different tokens that can be represented by the: `output_ids` when passing forward a [`{model}`]. Defaults to 10_048 but should be carefully thought with regards to the chosen sub-model. num_layers (`int`, *optional*, defaults to 12): Number of hidden layers in the given sub-model. num_heads (`int`, *optional*, defaults to 12): Number of attention heads for each attention layer in the Transformer architecture. hidden_size (`int`, *optional*, defaults to 768): Dimensionality of the "intermediate" (often named feed-forward) layer in the architecture. dropout (`float`, *optional*, defaults to 0.0): The dropout probability for all fully connected layers in the embeddings, encoder, and pooler. bias (`bool`, *optional*, defaults to `True`): Whether or not to use bias in the linear layers and layer norm layers. initializer_range (`float`, *optional*, defaults to 0.02): The standard deviation of the truncated_normal_initializer for initializing all weight matrices. use_cache (`bool`, *optional*, defaults to `True`): Whether or not the model should return the last key/values attentions (not used by all models). cT^\rSrSrS/rSSSSS.rS U4SjjrS rU=r$) BarkSubModelConfigApast_key_values num_heads num_layersinput_vocab_size block_size)num_attention_headsnum_hidden_layers vocab_size window_sizec  >XlX lX0lX@lXPlX`lXplXlXlXl [T U],"S0U D6 g)N) rroutput_vocab_sizerr hidden_sizedropoutbias use_cacheinitializer_rangesuper__init__) selfrrrrrrrrrrkwargs __class__s c/var/www/auris/envauris/lib/python3.13/site-packages/transformers/models/bark/configuration_bark.pyr!BarkSubModelConfig.__init__KsK% 0!2$"&  "!2 "6") rrrrrrrrrr) i@'r( r)igT{Gz?T) __name__ __module__ __qualname____firstlineno__keys_to_ignore_at_inference attribute_mapr!__static_attributes__ __classcell__r$s@r%r r AsK#4"5 +)(# M  ##r'r BarkSemanticConfigBarkSemanticModel)configmodela Example: ```python >>> from transformers import BarkSemanticConfig, BarkSemanticModel >>> # Initializing a Bark sub-module style configuration >>> configuration = BarkSemanticConfig() >>> # Initializing a model (with random weights) from the suno/bark style configuration >>> model = BarkSemanticModel(configuration) >>> # Accessing the model configuration >>> configuration = model.config ```c\rSrSrSrSrSrg)r4gsemanticsemantic_configrNr+r,r-r. model_typebase_config_keyr1rr'r%r4r4gs&J'Or'BarkCoarseConfigBarkCoarseModela Example: ```python >>> from transformers import BarkCoarseConfig, BarkCoarseModel >>> # Initializing a Bark sub-module style configuration >>> configuration = BarkCoarseConfig() >>> # Initializing a model (with random weights) from the suno/bark style configuration >>> model = BarkCoarseModel(configuration) >>> # Accessing the model configuration >>> configuration = model.config ```c\rSrSrSrSrSrg)r?~coarse_acousticscoarse_acoustics_configrNr<rr'r%r?r?~s&$J/Or'BarkFineConfig BarkFineModela n_codes_total (`int`, *optional*, defaults to 8): The total number of audio codebooks predicted. Used in the fine acoustics sub-model. n_codes_given (`int`, *optional*, defaults to 1): The number of audio codebooks predicted in the coarse acoustics sub-model. Used in the acoustics sub-models. Example: ```python >>> from transformers import BarkFineConfig, BarkFineModel >>> # Initializing a Bark sub-module style configuration >>> configuration = BarkFineConfig() >>> # Initializing a model (with random weights) from the suno/bark style configuration >>> model = BarkFineModel(configuration) >>> # Accessing the model configuration >>> configuration = model.config ```c4^\rSrSrSrSrSU4SjjrSrU=r$)rEfine_acousticsfine_acoustics_configc B>X lX0l[TU] "SSU0UD6 g)Ntie_word_embeddingsr) n_codes_total n_codes_givenr r!)r"rLrMrNr#r$s r%r!BarkFineConfig.__init__s%** K-@KFKr')rNrM)T) r+r,r-r.r=r>r!r1r2r3s@r%rErEs0"J-OLLr'c ^\rSrSrSrSr\\\\ S.r S S\ \ S\ \ S\ \ S\ \ 4U4S jjjr \S\S\S\S\4S j5rS rU=r$) BarkConfiga This is the configuration class to store the configuration of a [`BarkModel`]. It is used to instantiate a Bark model according to the specified sub-models configurations, defining the model architecture. Instantiating a configuration with the defaults will yield a similar configuration to that of the Bark [suno/bark](https://huggingface.co/suno/bark) architecture. Configuration objects inherit from [`PretrainedConfig`] and can be used to control the model outputs. Read the documentation from [`PretrainedConfig`] for more information. Args: semantic_config ([`BarkSemanticConfig`], *optional*): Configuration of the underlying semantic sub-model. coarse_acoustics_config ([`BarkCoarseConfig`], *optional*): Configuration of the underlying coarse acoustics sub-model. fine_acoustics_config ([`BarkFineConfig`], *optional*): Configuration of the underlying fine acoustics sub-model. codec_config ([`AutoConfig`], *optional*): Configuration of the underlying codec sub-model. Example: ```python >>> from transformers import ( ... BarkSemanticConfig, ... BarkCoarseConfig, ... BarkFineConfig, ... BarkModel, ... BarkConfig, ... AutoConfig, ... ) >>> # Initializing Bark sub-modules configurations. >>> semantic_config = BarkSemanticConfig() >>> coarse_acoustics_config = BarkCoarseConfig() >>> fine_acoustics_config = BarkFineConfig() >>> codec_config = AutoConfig.from_pretrained("facebook/encodec_24khz") >>> # Initializing a Bark module style configuration >>> configuration = BarkConfig.from_sub_model_configs( ... semantic_config, coarse_acoustics_config, fine_acoustics_config, codec_config ... ) >>> # Initializing a model (with random weights) >>> model = BarkModel(configuration) >>> # Accessing the model configuration >>> configuration = model.config ``` barkr;rDrJ codec_configr;rDrJrWc >Uc0n[RS5 Uc0n[RS5 Uc0n[RS5 Uc0n[RS5 [S0UD6Ul[ S0UD6Ul[ S0UD6UlSU;aUSOSn[U"S0UD6Ul XPl [TU]0"S0UD6 g)NzMsemantic_config is None. initializing the semantic model with default values.zScoarse_acoustics_config is None. initializing the coarse model with default values.zOfine_acoustics_config is None. initializing the fine model with default values.zGcodec_config is None. initializing the codec model with default values.r=encodecr) loggerinfor4r;r?rDrErJr rWrr r!) r"r;rDrJrWrr#codec_model_typer$s r%r!BarkConfig.__init__s  " O KKg h " *&( # KKm n ($& ! KKi j  L KKa b1DOD'7'R:Q'R$%3%L6K%L"9E9U< 5[d*+;<L|L!2 "6"r'c U"SUR5UR5UR5UR5S.UD6$)z Instantiate a [`BarkConfig`] (or a derived class) from bark sub-models configuration. Returns: [`BarkConfig`]: An instance of a configuration object rVr)to_dict)clsr;rDrJrWr#s r%from_sub_model_configs!BarkConfig.from_sub_model_configssP +335$;$C$C$E"7"?"?"A%--/     r')rDrWrJrr;)NNNNr*)r+r,r-r.__doc__r=r4r?rEr sub_configsrrr! classmethodrrar1r2r3s@r%rSrSs2hJ-#3!/" K+/2604'+ !#!$!#"*$!# (~ !# tn !#!#F + "2  .  '   r'rS)r?rSrEr4N)rctypingrrconfiguration_utilsrutilsrrautor r get_loggerr+rZ#BARK_SUBMODELCONFIG_START_DOCSTRINGr formatr4r?rErS__all__rr'r%rns !32-   H %#'#L##)##L'..6JRe.f $(+(%$( '..6HPa.b $0)0%$0 '..6Fo.^ .L'L/.Lu !u p Ur'