U 9%eu(@s^dZddlmZddlmZddlmZeeZ ddiZ Gdd d eZ Gd d d eZ d S) z MusicGen model configuration)PretrainedConfig)logging) AutoConfigzfacebook/musicgen-smallzGhttps://huggingface.co/facebook/musicgen-small/resolve/main/config.jsoncs,eZdZdZdZdgZdfdd ZZS)MusicgenDecoderConfiga This is the configuration class to store the configuration of an [`MusicgenDecoder`]. It is used to instantiate a MusicGen decoder according to the specified arguments, defining the model architecture. Instantiating a configuration with the defaults will yield a similar configuration to that of the MusicGen [facebook/musicgen-small](https://huggingface.co/facebook/musicgen-small) 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 2048): Vocabulary size of the MusicgenDecoder model. Defines the number of different tokens that can be represented by the `inputs_ids` passed when calling [`MusicgenDecoder`]. hidden_size (`int`, *optional*, defaults to 1024): Dimensionality of the layers and the pooler layer. num_hidden_layers (`int`, *optional*, defaults to 24): Number of decoder layers. num_attention_heads (`int`, *optional*, defaults to 16): Number of attention heads for each attention layer in the Transformer block. ffn_dim (`int`, *optional*, defaults to 4096): Dimensionality of the "intermediate" (often named feed-forward) layer in the Transformer block. activation_function (`str` or `function`, *optional*, defaults to `"gelu"`): The non-linear activation function (function or string) in the decoder and pooler. If string, `"gelu"`, `"relu"`, `"silu"` and `"gelu_new"` are supported. dropout (`float`, *optional*, defaults to 0.1): The dropout probability for all fully connected layers in the embeddings, text_encoder, and pooler. attention_dropout (`float`, *optional*, defaults to 0.0): The dropout ratio for the attention probabilities. activation_dropout (`float`, *optional*, defaults to 0.0): The dropout ratio for activations inside the fully connected layer. max_position_embeddings (`int`, *optional*, defaults to 2048): 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). initializer_factor (`float`, *optional*, defaults to 0.02): The standard deviation of the truncated_normal_initializer for initializing all weight matrices. layerdrop (`float`, *optional*, defaults to 0.0): The LayerDrop probability for the decoder. See the [LayerDrop paper](see https://arxiv.org/abs/1909.11556) for more details. scale_embedding (`bool`, *optional*, defaults to `False`): Scale embeddings by diving by sqrt(hidden_size). use_cache (`bool`, *optional*, defaults to `True`): Whether the model should return the last key/values attentions (not used by all models) num_codebooks (`int`, *optional*, defaults to 4): The number of parallel codebooks forwarded to the model. tie_word_embeddings(`bool`, *optional*, defaults to `False`): Whether input and output word embeddings should be tied. Zmusicgen_decoderZpast_key_valuesTgelu皙?{Gz?FNc sz||_||_| |_||_||_||_| |_| |_| |_||_ | |_ ||_ ||_ ||_ ||_tjf||||d|dS)N) pad_token_id bos_token_id eos_token_idtie_word_embeddings) vocab_sizemax_position_embeddings hidden_sizeffn_dimnum_hidden_layersnum_attention_headsdropoutattention_dropoutactivation_dropoutactivation_functioninitializer_factor layerdrop use_cachescale_embedding num_codebookssuper__init__)selfrrrrrr r!rrrrrrr"r#rrrrkwargs __class__r/var/www/html/Darija-Ai-API/env/lib/python3.8/site-packages/transformers/models/musicgen/configuration_musicgen.pyr%Rs.zMusicgenDecoderConfig.__init__)rrrr r r Tr r rr r rFrrrNF)__name__ __module__ __qualname____doc__ model_typeZkeys_to_ignore_at_inferencer% __classcell__r*r*r(r+rs.0rcsJeZdZdZdZdZfddZeeee dddZ e d d Z Z S) MusicgenConfigaj This is the configuration class to store the configuration of a [`MusicgenModel`]. It is used to instantiate a MusicGen model according to the specified arguments, defining the text encoder, audio encoder and MusicGen decoder configs. Configuration objects inherit from [`PretrainedConfig`] and can be used to control the model outputs. Read the documentation from [`PretrainedConfig`] for more information. Args: kwargs (*optional*): Dictionary of keyword arguments. Notably: - **text_encoder** ([`PretrainedConfig`], *optional*) -- An instance of a configuration object that defines the text encoder config. - **audio_encoder** ([`PretrainedConfig`], *optional*) -- An instance of a configuration object that defines the audio encoder config. - **decoder** ([`PretrainedConfig`], *optional*) -- An instance of a configuration object that defines the decoder config. Example: ```python >>> from transformers import ( ... MusicgenConfig, ... MusicgenDecoderConfig, ... T5Config, ... EncodecConfig, ... MusicgenForConditionalGeneration, ... ) >>> # Initializing text encoder, audio encoder, and decoder model configurations >>> text_encoder_config = T5Config() >>> audio_encoder_config = EncodecConfig() >>> decoder_config = MusicgenDecoderConfig() >>> configuration = MusicgenConfig.from_sub_models_config( ... text_encoder_config, audio_encoder_config, decoder_config ... ) >>> # Initializing a MusicgenForConditionalGeneration (with random weights) from the facebook/musicgen-small style configuration >>> model = MusicgenForConditionalGeneration(configuration) >>> # Accessing the model configuration >>> configuration = model.config >>> config_text_encoder = model.config.text_encoder >>> config_audio_encoder = model.config.audio_encoder >>> config_decoder = model.config.decoder >>> # Saving the model, including its configuration >>> model.save_pretrained("musicgen-model") >>> # loading model and config from pretrained folder >>> musicgen_config = MusicgenConfig.from_pretrained("musicgen-model") >>> model = MusicgenForConditionalGeneration.from_pretrained("musicgen-model", config=musicgen_config) ```ZmusicgenTc stjf|d|ks&d|ks&d|kr.td|d}|d}|d}|d}|d}tj|f||_tj|f||_tf||_ d|_ dS)N text_encoder audio_encoderdecoderzPConfig has to be initialized with text_encoder, audio_encoder and decoder configr0T) r$r% ValueErrorpoprZ for_modelr3r4rr5Zis_encoder_decoder)r&r'text_encoder_configZtext_encoder_model_typeaudio_encoder_configZaudio_encoder_model_typedecoder_configr(r*r+r%s      zMusicgenConfig.__init__)r8r9r:cKs"|f|||d|S)z Instantiate a [`MusicgenConfig`] (or a derived class) from text encoder, audio encoder and decoder configurations. Returns: [`MusicgenConfig`]: An instance of a configuration object )r3r4r5)to_dict)clsr8r9r:r'r*r*r+from_sub_models_configsz%MusicgenConfig.from_sub_models_configcCs|jjS)N)r4 sampling_rate)r&r*r*r+r>szMusicgenConfig.sampling_rate)r,r-r.r/r0Zis_compositionr% classmethodrrr=propertyr>r1r*r*r(r+r2s8 r2N) r/Zconfiguration_utilsrutilsrZauto.configuration_autorZ get_loggerr,loggerZ&MUSICGEN_PRETRAINED_CONFIG_ARCHIVE_MAPrr2r*r*r*r+s    c