`i.dZddlmZddlmZddlmZmZddlm Z m Z ej e Z dZGd d eZeed d dGdd eZeedd dGddeZeedd dGddeZGddeZgdZdS)zBARK model configuration)Optional)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). cHeZdZdgZdddddZ dfd ZxZS)BarkSubModelConfigpast_key_values num_heads num_layersinput_vocab_size block_size)num_attention_headsnum_hidden_layers vocab_size window_size@' T{Gz?c  ||_||_||_||_||_||_||_||_| |_| |_ tj di| dS)N) rroutput_vocab_sizerr hidden_sizedropoutbias use_cacheinitializer_rangesuper__init__) selfrrrrrrr r!r#r"kwargs __class__s /home/jaya/work/projects/VOICE-AGENT/VIET/agent-env/lib/python3.11/site-packages/transformers/models/bark/configuration_bark.pyr%zBarkSubModelConfig.__init__Ksr% 0!2$"&  "!2""6""""") rrrrrrrTrT)__name__ __module__ __qualname__keys_to_ignore_at_inference attribute_mapr% __classcell__r(s@r)r r As#4"5 +)(# M  ##########r*r BarkSemanticConfigBarkSemanticModel)configmodela Example: ```python >>> from transformers import BarkSemanticConfig, BarkSemanticModel >>> # Initializing a Bark sub-module style configuration >>> configuration = BarkSemanticConfig() >>> # Initializing a model (with random weights) from the suno/bark style configuration >>> model = BarkSemanticModel(configuration) >>> # Accessing the model configuration >>> configuration = model.config ```ceZdZdZdZdS)r2semanticsemantic_configNr+r,r- model_typebase_config_keyrr*r)r2r2gs&J'OOOr*BarkCoarseConfigBarkCoarseModela Example: ```python >>> from transformers import BarkCoarseConfig, BarkCoarseModel >>> # Initializing a Bark sub-module style configuration >>> configuration = BarkCoarseConfig() >>> # Initializing a model (with random weights) from the suno/bark style configuration >>> model = BarkCoarseModel(configuration) >>> # Accessing the model configuration >>> configuration = model.config ```ceZdZdZdZdS)r<coarse_acousticscoarse_acoustics_configNr9rr*r)r<r<~s&$J/OOOr*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 ```c(eZdZdZdZdfd ZxZS)rAfine_acousticsfine_acoustics_configTc Z||_||_tjdd|i|dS)Ntie_word_embeddingsr) n_codes_total n_codes_givenr$r%)r&rIrJrKr'r(s r)r%zBarkFineConfig.__init__s<**KK-@KFKKKKKr*)TrFrG)r+r,r-r:r;r%r0r1s@r)rArAsS0"J-OLLLLLLLLLLr*c eZdZdZdZeeeedZ d de e de e de e d e e ffd Z e dededed efd ZxZS) 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 ``` barkr8r@rE codec_configNrr8r@rErPc |i}td|i}td|i}td|i}tdtdi||_t di||_t di||_|dd}t|di||_ ||_ tj di|dS)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)loggerinfor2r8r<r@rArEgetr rPr#r$r%) r&r8r@rErPr#r'codec_model_typer(s r)r%zBarkConfig.__init__s   " O KKg h h h " *&( # KKm n n n ($& ! KKi j j j  L KKa b b b1DDODD'7'R'R:Q'R'R$%3%L%L6K%L%L"'++L)DD*+;<LL|LL!2""6"""""r*c |d||||d|S)z Instantiate a [`BarkConfig`] (or a derived class) from bark sub-models configuration. Returns: [`BarkConfig`]: An instance of a configuration object rOr)to_dict)clsr8r@rErPr's r)from_sub_model_configsz!BarkConfig.from_sub_model_configsshs +3355$;$C$C$E$E"7"?"?"A"A%--//       r*)NNNNr)r+r,r-__doc__r:r2r<rAr sub_configsrdictr% classmethodrrZr0r1s@r)rMrMs22hJ-#3!/" K+/2604'+ !#!#!$!#"*$!# (~ !# tn !#!#!#!#!#!#F + "2  .  '    [     r*rM)r<rMrAr2N)r[typingrconfiguration_utilsrutilsrrautor r get_loggerr+rS#BARK_SUBMODELCONFIG_START_DOCSTRINGr formatr2r<rArM__all__rr*r)rgs#33333322222222--------  H % %#'#L##########)######L'..6JRe.ff $(((((+((%$( '..6HPa.bb $00000)00%$0 '..6Fo.^^ .LLLLL'LL/.Lu u u u u !u u u p U T Tr*