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49 lines
1.4 KiB
Python
49 lines
1.4 KiB
Python
import logging
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import torch
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from discriminators import MultiPeriodDiscriminator, MultiResolutionDiscriminator
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from generator import Generator
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from loss import (
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DiscriminatorLoss,
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GeneratorLoss,
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FeatureMatchingLoss,
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MelSpecReconstructionLoss,
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)
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class Vocos(torch.nn.Module):
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def __init__(
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self,
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feature_dim: int = 80,
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dim: int = 512,
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n_fft: int = 1024,
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hop_length: int = 256,
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intermediate_dim: int = 1536,
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num_layers: int = 8,
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padding: str = "none",
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sample_rate: int = 24000,
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max_seconds: int = 60,
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):
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super(Vocos, self).__init__()
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self.generator = Generator(
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feature_dim=feature_dim,
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dim=dim,
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n_fft=n_fft,
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hop_length=hop_length,
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num_layers=num_layers,
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intermediate_dim=intermediate_dim,
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padding=padding,
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max_samples=int(sample_rate * max_seconds),
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)
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self.mpd = MultiPeriodDiscriminator()
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self.mrd = MultiResolutionDiscriminator()
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self.disc_loss = DiscriminatorLoss()
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self.gen_loss = GeneratorLoss()
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self.feat_matching_loss = FeatureMatchingLoss()
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self.melspec_loss = MelSpecReconstructionLoss(sample_rate=sample_rate)
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def forward(self, features: torch.Tensor):
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audio = self.generator(features)
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return audio
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