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from dataclasses import dataclass
@dataclass(repr=False, eq=False)
class Path:
vocos_ckpt_path: str = "asset/Vocos.pt"
dvae_ckpt_path: str = "asset/DVAE_full.pt"
gpt_ckpt_path: str = "asset/gpt"
decoder_ckpt_path: str = "asset/Decoder.pt"
tokenizer_path: str = "asset/tokenizer"
embed_path: str = "asset/Embed.safetensors"
@dataclass(repr=False, eq=False)
class Decoder:
idim: int = 384
odim: int = 384
hidden: int = 512
n_layer: int = 12
bn_dim: int = 128
@dataclass(repr=False, eq=False)
class VQ:
dim: int = 1024
levels: tuple = (5, 5, 5, 5)
G: int = 2
R: int = 2
@dataclass(repr=False, eq=False)
class DVAE:
encoder: Decoder = Decoder(
idim=512,
odim=1024,
hidden=256,
n_layer=12,
bn_dim=128,
)
decoder: Decoder = Decoder(
idim=512,
odim=512,
hidden=256,
n_layer=12,
bn_dim=128,
)
vq: VQ = VQ()
@dataclass(repr=False, eq=False)
class GPT:
hidden_size: int = 768
intermediate_size: int = 3072
num_attention_heads: int = 12
num_hidden_layers: int = 20
use_cache: bool = False
max_position_embeddings: int = 4096
spk_emb_dim: int = 192
spk_KL: bool = False
num_audio_tokens: int = 626
num_text_tokens: int = 21178
num_vq: int = 4
@dataclass(repr=False, eq=False)
class Embed:
hidden_size: int = 768
num_audio_tokens: int = 626
num_text_tokens: int = 21178
num_vq: int = 4
@dataclass(repr=False, eq=False)
class FeatureExtractorInitArgs:
sample_rate: int = 24000
n_fft: int = 1024
hop_length: int = 256
n_mels: int = 100
padding: str = "center"
@dataclass(repr=False, eq=False)
class FeatureExtractor:
class_path: str = "vocos.feature_extractors.MelSpectrogramFeatures"
init_args: FeatureExtractorInitArgs = FeatureExtractorInitArgs()
@dataclass(repr=False, eq=False)
class BackboneInitArgs:
input_channels: int = 100
dim: int = 512
intermediate_dim: int = 1536
num_layers: int = 8
@dataclass(repr=False, eq=False)
class Backbone:
class_path: str = "vocos.models.VocosBackbone"
init_args: BackboneInitArgs = BackboneInitArgs()
@dataclass(repr=False, eq=False)
class FourierHeadInitArgs:
dim: int = 512
n_fft: int = 1024
hop_length: int = 256
padding: str = "center"
@dataclass(repr=False, eq=False)
class FourierHead:
class_path: str = "vocos.heads.ISTFTHead"
init_args: FourierHeadInitArgs = FourierHeadInitArgs()
@dataclass(repr=False, eq=False)
class Vocos:
feature_extractor: FeatureExtractor = FeatureExtractor()
backbone: Backbone = Backbone()
head: FourierHead = FourierHead()
@dataclass(repr=False, eq=False)
class Config:
path: Path = Path()
decoder: Decoder = Decoder()
dvae: DVAE = DVAE()
gpt: GPT = GPT()
embed: Embed = Embed()
vocos: Vocos = Vocos()
spk_stat: str = (
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