o Si"@sddlmZmZddlZddlZddlmZddlmZGdddejZ GdddejZ Gd d d ejZ Gd d d ejZ dS) )ListTupleN)nn)safe_logc sFeZdZdZ ddededed effd d Zd ejfd dZZ S)MelSpecReconstructionLosszw L1 distance between the mel-scaled magnitude spectrograms of the ground truth sample and the generated sample ]d sample_raten_fft hop_lengthn_melscs(ttjj||||ddd|_dS)NT)r r r rcenterpower)super__init__ torchaudio transformsMelSpectrogrammel_spec)selfr r r r __class__>/home/ubuntu/.local/lib/python3.10/site-packages/vocos/loss.pyrs   z"MelSpecReconstructionLoss.__init__returncCs0t||}t||}tjj||}|S)z Args: y_hat (Tensor): Predicted audio waveform. y (Tensor): Ground truth audio waveform. Returns: Tensor: L1 loss between the mel-scaled magnitude spectrograms. )rrtorchr functionall1_loss)ry_hatymel_hatmellossrrrforwards z!MelSpecReconstructionLoss.forward)rrr r ) __name__ __module__ __qualname____doc__intrrTensorr& __classcell__rrrrr src@s8eZdZdZdeejdeejeejffddZdS) GeneratorLosszf Generator Loss module. Calculates the loss for the generator based on discriminator outputs. disc_outputsrcCs\tjd|dj|djd}g}|D]}ttjd|dd}||||7}q||fS)a Args: disc_outputs (List[Tensor]): List of discriminator outputs. Returns: Tuple[Tensor, List[Tensor]]: Tuple containing the total loss and a list of loss values from the sub-discriminators rrdevicedtypemin)rzerosr1r2meanclampappend)rr/r% gen_lossesdglrrrr&-s   zGeneratorLoss.forwardN r'r(r)r*rrr,rr&rrrrr.(s,r.c @sJeZdZdZdeejdeejdeejeejeejffddZdS)DiscriminatorLosszs Discriminator Loss module. Calculates the loss for the discriminator based on real and generated outputs. disc_real_outputsdisc_generated_outputsrc Cstjd|dj|djd}g}g}t||D],\}}ttjd|dd}ttjd|dd} ||| 7}|||| q|||fS)a, Args: disc_real_outputs (List[Tensor]): List of discriminator outputs for real samples. disc_generated_outputs (List[Tensor]): List of discriminator outputs for generated samples. Returns: Tuple[Tensor, List[Tensor], List[Tensor]]: A tuple containing the total loss, a list of loss values from the sub-discriminators for real outputs, and a list of loss values for generated outputs. rrr0r3)rr5r1r2zipr6r7r8) rr>r?r%r_lossesg_lossesdrr:r_lossg_lossrrrr&Es     zDiscriminatorLoss.forwardNr<rrrrr=@sr=c@s<eZdZdZdeeejdeeejdejfddZdS)FeatureMatchingLossz| Feature Matching Loss module. Calculates the feature matching loss between feature maps of the sub-discriminators. fmap_rfmap_grc Cshtjd|ddj|ddjd}t||D]\}}t||D]\}}|tt||7}q q|S)a  Args: fmap_r (List[List[Tensor]]): List of feature maps from real samples. fmap_g (List[List[Tensor]]): List of feature maps from generated samples. Returns: Tensor: The calculated feature matching loss. rrr0)rr5r1r2r@r6abs)rrGrHr%rCr:rlglrrrr&ds $ zFeatureMatchingLoss.forwardN)r'r(r)r*rrr,r&rrrrrF_s0rF) typingrrrrr vocos.modulesrModulerr.r=rFrrrrs