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"""MossTTSRealtimeModel configuration.""" |
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from __future__ import annotations |
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from typing import Any |
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from transformers.configuration_utils import PretrainedConfig |
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from transformers.models.qwen3 import Qwen3Config |
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def _ensure_config(cfg: Any, cls: type[PretrainedConfig]) -> PretrainedConfig: |
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if isinstance(cfg, cls): |
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return cfg |
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if cfg is None: |
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return cls() |
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if isinstance(cfg, dict): |
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return cls(**cfg) |
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raise TypeError(f"Unsupported config type for {cls.__name__}: {type(cfg)}") |
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class MossTTSRealtimeLocalTransformerConfig(PretrainedConfig): |
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model_type = "moss_tts_realtime_local_transformer" |
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def __init__( |
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self, |
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head_dim: int = 128, |
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use_cache: bool = True, |
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hidden_size: int = 2048, |
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rms_norm_eps: float = 1e-6, |
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num_hidden_layers: int = 4, |
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intermediate_size: int = 6144, |
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num_attention_heads: int = 16, |
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initializer_range: float = 0.02, |
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attention_bias: bool = False, |
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attention_dropout: float = 0.0, |
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max_position_embeddings: int = 33, |
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num_key_value_heads: int = 8, |
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hidden_act: str = "silu", |
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rope_theta: int = 1000000, |
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rope_type: str = "linear", |
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pad_token_id: int = 1024, |
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rope_parameters: dict | None = None, |
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**kwargs, |
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): |
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super().__init__(**kwargs) |
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self.head_dim = head_dim |
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self.hidden_size = hidden_size |
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self.intermediate_size = intermediate_size |
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self.num_hidden_layers = num_hidden_layers |
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self.num_attention_heads = num_attention_heads |
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self.initializer_range = initializer_range |
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self.rms_norm_eps = rms_norm_eps |
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self.use_cache = use_cache |
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self.hidden_act = hidden_act |
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self.rope_theta = rope_theta |
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self.rope_type = rope_type |
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if rope_parameters is None: |
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rope_parameters = {"rope_type": rope_type, "rope_theta": rope_theta, "factor": 1.0} |
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self.rope_parameters = rope_parameters |
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self.attention_bias = attention_bias |
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self.attention_dropout = attention_dropout |
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self.num_key_value_heads = num_key_value_heads |
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self.max_position_embeddings = max_position_embeddings |
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self.pad_token_id = pad_token_id |
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self.audio_pad_token = 1024 |
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self.audio_vocab_size = 1027 |
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self.rvq = 16 |
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class MossTTSRealtimeConfig(PretrainedConfig): |
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model_type = "moss_tts_realtime" |
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def __init__( |
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self, |
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language_config: Qwen3Config | dict | None = None, |
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local_config: MossTTSRealtimeLocalTransformerConfig | dict | None = None, |
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rvq: int = 16, |
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audio_pad_token: int = 1024, |
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audio_vocab_size: int = 1027, |
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reference_audio_pad: int = 151654, |
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text_pad: int = 151655, |
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initializer_range: float = 0.02, |
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**kwargs, |
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): |
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super().__init__(**kwargs) |
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self.rvq = rvq |
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self.initializer_range = initializer_range |
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self.audio_pad_token = audio_pad_token |
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self.audio_vocab_size = audio_vocab_size |
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self.reference_audio_pad = reference_audio_pad |
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self.text_pad = text_pad |
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self.language_config = _ensure_config(language_config, Qwen3Config) |
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self.local_config = _ensure_config(local_config, MossTTSRealtimeLocalTransformerConfig) |
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attn_impl = self._attn_implementation |
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self.language_config._attn_implementation = attn_impl |
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self.local_config._attn_implementation = attn_impl |
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__all__ = ["MossTTSRealtimeConfig", "MossTTSRealtimeLocalTransformerConfig"] |
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