a ½ Àhåã@sPdZddlZddlZddlmZddlmZe e ¡Z Gdd„deƒZ dgZ dS)zDac model configurationéNé)ÚPretrainedConfig)Úloggingc sPeZdZdZdZdgd¢ddddd d d d f ‡fd d„ Zeedœdd„ƒZ‡Z S)Ú DacConfigaW This is the configuration class to store the configuration of an [`DacModel`]. It is used to instantiate a Dac 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 [descript/dac_16khz](https://huggingface.co/descript/dac_16khz) architecture. Configuration objects inherit from [`PretrainedConfig`] and can be used to control the model outputs. Read the documentation from [`PretrainedConfig`] for more information. Args: encoder_hidden_size (`int`, *optional*, defaults to 64): Intermediate representation dimension for the encoder. downsampling_ratios (`list[int]`, *optional*, defaults to `[2, 4, 8, 8]`): Ratios for downsampling in the encoder. These are used in reverse order for upsampling in the decoder. decoder_hidden_size (`int`, *optional*, defaults to 1536): Intermediate representation dimension for the decoder. n_codebooks (`int`, *optional*, defaults to 9): Number of codebooks in the VQVAE. codebook_size (`int`, *optional*, defaults to 1024): Number of discrete codes in each codebook. codebook_dim (`int`, *optional*, defaults to 8): Dimension of the codebook vectors. If not defined, uses `encoder_hidden_size`. quantizer_dropout (`bool`, *optional*, defaults to 0): Whether to apply dropout to the quantizer. commitment_loss_weight (float, *optional*, defaults to 0.25): Weight of the commitment loss term in the VQVAE loss function. codebook_loss_weight (float, *optional*, defaults to 1.0): Weight of the codebook loss term in the VQVAE loss function. sampling_rate (`int`, *optional*, defaults to 16000): The sampling rate at which the audio waveform should be digitalized expressed in hertz (Hz). Example: ```python >>> from transformers import DacModel, DacConfig >>> # Initializing a "descript/dac_16khz" style configuration >>> configuration = DacConfig() >>> # Initializing a model (with random weights) from the "descript/dac_16khz" style configuration >>> model = DacModel(configuration) >>> # Accessing the model configuration >>> configuration = model.config ```Zdacé@)ééér ié ir rgÐ?gð?i€>c  s„||_||_||_|ddd…|_||_||_||_||_| |_|dt |ƒ|_ t t   |¡ƒ|_||_| |_tƒjfi| ¤ŽdS)Néÿÿÿÿr)Úencoder_hidden_sizeÚdownsampling_ratiosÚdecoder_hidden_sizeÚupsampling_ratiosÚ n_codebooksÚ codebook_sizeÚ codebook_dimÚquantizer_dropoutÚ sampling_rateÚlenZ hidden_sizeÚintÚnpÚprodÚ hop_lengthÚcommitment_loss_weightÚcodebook_loss_weightÚsuperÚ__init__) Úselfr r rrrrrrrrÚkwargs©Ú __class__©úe/var/www/html/assistant/venv/lib/python3.9/site-packages/transformers/models/dac/configuration_dac.pyrLszDacConfig.__init__)ÚreturncCst |j¡}t |j|¡S)N)rrrÚmathÚceilr)rrr"r"r#Ú frame_ratels zDacConfig.frame_rate) Ú__name__Ú __module__Ú __qualname__Ú__doc__Z model_typerÚpropertyrr'Ú __classcell__r"r"r r#rs-õ r) r+r%ÚnumpyrZconfiguration_utilsrÚutilsrZ get_loggerr(ÚloggerrÚ__all__r"r"r"r#Ús   V