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Functions1,532 in github.com/RVC-Boss/GPT-SoVITS

↓ 2 callersFunctionfix_g2pk2_error
(text)
GPT_SoVITS/text/korean.py:155
↓ 2 callersMethodforward
(self, x)
tools/uvr5/lib/lib_v5/nets_new.py:70
↓ 2 callersMethodforward3
(self, x)
GPT_SoVITS/eres2net/ERes2Net.py:233
↓ 2 callersFunctionfull_cjk
(text)
GPT_SoVITS/text/LangSegmenter/langsegmenter.py:22
↓ 2 callersFunctiongenerator_loss
( disc_outputs: List[torch.Tensor], )
GPT_SoVITS/BigVGAN/loss.py:228
↓ 2 callersFunctionget_bert_feature
(text, word2ph)
api.py:404
↓ 2 callersFunctionget_bert_feature
(text, word2ph)
GPT_SoVITS/inference_webui.py:158
↓ 2 callersFunctionget_hash
(fp: str)
GPT_SoVITS/text/japanese.py:50
↓ 2 callersFunctionget_method
(name: str)
GPT_SoVITS/TTS_infer_pack/text_segmentation_method.py:8
↓ 2 callersFunctionget_model
(hps)
GPT_SoVITS/s2_train_v3_lora.py:141
↓ 2 callersFunctionget_optim
(net_g)
GPT_SoVITS/s2_train_v3_lora.py:149
↓ 2 callersFunctionget_phones_and_bert
(text, language, version, final=False)
api.py:444
↓ 2 callersFunctionget_spepc
(hps, filename)
batch_inference.py:187
↓ 2 callersFunctionget_timing_signal_1d
(length, channels, min_timescale=1.0, max_timescale=1.0e4)
GPT_SoVITS/module/commons.py:65
↓ 2 callersFunctionget_tts_wav
( ref_wav_path, prompt_text, prompt_language, text, text_language, how_to_cut=i18n("不切
GPT_SoVITS/inference_webui.py:735
↓ 2 callersFunctionhandle
( refer_wav_path, prompt_text, prompt_language, text, text_language, cut_punc,
api.py:938
↓ 2 callersFunctionhandle_change
(path, text, language)
api.py:917
↓ 2 callersFunctionhandle_control
(command)
api.py:909
↓ 2 callersFunctionhangul_number
Reference https://github.com/Kyubyong/g2pK
GPT_SoVITS/text/korean.py:183
↓ 2 callersMethodinfer
(self, ssl, y, y_lengths, text, text_lengths, test=None, noise_scale=0.5)
GPT_SoVITS/module/models.py:934
↓ 2 callersMethodinfer_panel_naive
( self, x: torch.LongTensor, #####全部文本token x_lens: torch.LongTensor, prompts
GPT_SoVITS/AR/models/t2s_model.py:814
↓ 2 callersFunctioninference
data : dic configs
tools/uvr5/lib/utils.py:25
↓ 2 callersFunctioninit_bigvgan
()
api.py:201
↓ 2 callersFunctioninit_bigvgan
()
GPT_SoVITS/inference_webui.py:427
↓ 2 callersFunctioninit_hifigan
()
GPT_SoVITS/inference_webui.py:446
↓ 2 callersFunctioninit_sv_cn
()
GPT_SoVITS/inference_webui.py:478
↓ 2 callersMethodis_ready
(self)
api.py:183
↓ 2 callersFunctionkaiser_sinc_filter1d
(cutoff, half_width, kernel_size)
GPT_SoVITS/BigVGAN/alias_free_activation/torch/filter.py:30
↓ 2 callersMethodmake_input_data
(self, x, x_lens, y, y_lens, bert_feature)
GPT_SoVITS/AR/models/t2s_model.py:355
↓ 2 callersFunctionmake_pad_mask_left
Args: lengths: A 1-D tensor containing sentence lengths. max_len: The length of masks. Returns: Return a 2-
GPT_SoVITS/AR/models/utils.py:44
↓ 2 callersFunctionmake_padding
(width, cropsize, offset)
tools/uvr5/lib/lib_v5/dataset.py:104
↓ 2 callersFunctionmel_scale
(freq: Tensor)
GPT_SoVITS/eres2net/kaldi.py:330
↓ 2 callersFunctionmel_scale_scalar
(freq: float)
GPT_SoVITS/eres2net/kaldi.py:326
↓ 2 callersMethodmel_spectrogram
Mirrors AudioSignal.mel_spectrogram used by BigVGAN-v2 training from: https://github.com/descriptinc/audiotools/blob/master/audiotool
GPT_SoVITS/BigVGAN/loss.py:107
↓ 2 callersFunctionmodel2cuda
(net_g, rank)
GPT_SoVITS/s2_train_v3_lora.py:157
↓ 2 callersFunctionmy_save
(fea, path)
GPT_SoVITS/process_ckpt.py:12
↓ 2 callersFunctionmy_save2
(fea, path, model_version)
GPT_SoVITS/process_ckpt.py:29
↓ 2 callersFunctionname2go
(wav_name, wav_path)
GPT_SoVITS/prepare_datasets/2-get-hubert-wav32k.py:78
↓ 2 callersFunctionnorm_spec
(x)
GPT_SoVITS/TTS_infer_pack/TTS.py:57
↓ 2 callersFunctionnumber_to_hangul
Reference https://github.com/Kyubyong/g2pK
GPT_SoVITS/text/korean.py:262
↓ 2 callersFunctionpack_audio
(audio_bytes, data, rate)
api.py:555
↓ 2 callersFunctionpack_audio
(io_buffer: BytesIO, data: np.ndarray, rate: int, media_type: str)
api_v2.py:223
↓ 2 callersMethodpad_y_eos
(self, y, y_mask_int, eos_id)
GPT_SoVITS/AR/models/t2s_model.py:578
↓ 2 callersFunctionphone2str
(phone_string: str, mobile=True)
GPT_SoVITS/text/zh_normalization/phonecode.py:31
↓ 2 callersMethodpostprocess_emb
(self, embed_ind, shape)
GPT_SoVITS/module/core_vq.py:178
↓ 2 callersMethodpre_merge_for_modify
(self, seg: List[Tuple[str, str]])
GPT_SoVITS/text/tone_sandhi.py:754
↓ 2 callersMethodpre_seg_text
(self, text: str, lang: str, text_split_method: str)
GPT_SoVITS/TTS_infer_pack/TextPreprocessor.py:77
↓ 2 callersMethodpredict
(self, x_mag, aggressiveness=None)
tools/uvr5/lib/lib_v5/nets.py:114
↓ 2 callersMethodpreprocess
(self, x)
GPT_SoVITS/module/core_vq.py:168
↓ 2 callersMethodprocess_prompt
(self, x: torch.Tensor, attn_mask: torch.Tensor, padding_mask: Optional[torch.Tensor] = None)
GPT_SoVITS/export_torch_script.py:222
↓ 2 callersMethodquantize
(self, x)
GPT_SoVITS/module/core_vq.py:172
↓ 2 callersMethodremove_weight_norm
(self)
GPT_SoVITS/module/models.py:473
↓ 2 callersFunctionreplace_consecutive_punctuation
(text)
GPT_SoVITS/text/chinese2.py:309
↓ 2 callersFunctionreplace_consecutive_punctuation
(text)
GPT_SoVITS/text/chinese.py:69
↓ 2 callersFunctionresamplex
(ref_audio: torch.Tensor, src_sr: int, dst_sr: int)
GPT_SoVITS/export_torch_script.py:690
↓ 2 callersFunctionsample
( logits, previous_tokens, temperature: float = 1.0, top_k: Optional[int] = None, top_p: O
GPT_SoVITS/export_torch_script.py:91
↓ 2 callersFunctionsample
( logits, previous_tokens: Optional[torch.Tensor] = None, **sampling_kwargs, )
GPT_SoVITS/AR/models/utils.py:192
↓ 2 callersFunctionsample_vectors
(samples, num: int)
GPT_SoVITS/module/core_vq.py:61
↓ 2 callersFunctionsave_audio
(audio, path, sr)
GPT_SoVITS/BigVGAN/utils0.py:95
↓ 2 callersFunctionsave_checkpoint
(filepath, obj)
GPT_SoVITS/BigVGAN/utils0.py:69
↓ 2 callersFunctionscan_checkpoint
(cp_dir, prefix, renamed_file=None)
GPT_SoVITS/BigVGAN/utils0.py:75
↓ 2 callersFunctionsearchsorted
(bin_locations, inputs, eps=1e-6)
GPT_SoVITS/module/transforms.py:45
↓ 2 callersFunctionsequence_mask
(length, max_length=None)
GPT_SoVITS/module/commons.py:117
↓ 2 callersFunctionset_default
()
webui.py:108
↓ 2 callersMethodset_ref_audio
To set the reference audio for the TTS model, including the prompt_semantic and refer_spepc. Args: ref_audio_
GPT_SoVITS/TTS_infer_pack/TTS.py:726
↓ 2 callersMethodslice
(self, waveform)
tools/slicer2.py:67
↓ 2 callersFunctionspectral_normalize_torch
(magnitudes)
GPT_SoVITS/module/mel_processing.py:26
↓ 2 callersFunctionsplit
(todo_text)
GPT_SoVITS/inference_webui.py:988
↓ 2 callersFunctionsplit
(todo_text)
GPT_SoVITS/TTS_infer_pack/text_segmentation_method.py:70
↓ 2 callersFunctionsplit_jako
(tag_lang,item)
GPT_SoVITS/text/LangSegmenter/langsegmenter.py:48
↓ 2 callersFunctionstft_mag
(audio, n_fft=2048, hop_length=512)
tools/AP_BWE_main/models/model.py:449
↓ 2 callersFunctiontext_normalize
(text)
GPT_SoVITS/text/english.py:233
↓ 2 callersMethodto_batch
( self, data: list, prompt_data: dict = None, batch_size: int = 5, thr
GPT_SoVITS/TTS_infer_pack/TTS.py:828
↓ 2 callersFunctiontrain_and_evaluate
( rank, epoch, hps, nets, optims, schedulers, scaler, loaders, logger,
GPT_SoVITS/s2_train_v3.py:275
↓ 2 callersFunctiontrain_and_evaluate
(rank, epoch, hps, nets, optims, schedulers, scaler, loaders, logger, writers)
GPT_SoVITS/s2_train_v3_lora.py:248
↓ 2 callersFunctiontrain_and_evaluate
(rank, epoch, hps, nets, optims, schedulers, scaler, loaders, logger, writers)
GPT_SoVITS/s2_train.py:299
↓ 2 callersFunctiontts_handle
Text to speech handler. Args: req (dict): { "text": "", # str.(required) text to be sy
api_v2.py:300
↓ 2 callersMethodvalues
(self)
GPT_SoVITS/utils.py:337
↓ 2 callersFunctionweight_norm_modules
(module, name="weight", dim=0)
GPT_SoVITS/module/attentions.py:499
↓ 1 callersFunctionMLP
(dim_in, dim_out, dim_hidden=None, depth=1, activation=nn.Tanh)
tools/uvr5/bs_roformer/bs_roformer.py:216
↓ 1 callersFunctionMLP
(dim_in, dim_out, dim_hidden=None, depth=1, activation=nn.Tanh)
tools/uvr5/bs_roformer/mel_band_roformer.py:225
↓ 1 callersMethod__init__
(self, max_sec, t2s_model)
api.py:367
↓ 1 callersMethod__init__
(self, args)
tools/uvr5/mdxnet.py:75
↓ 1 callersMethod__init__
(self, nin, ch, dilations=(4, 8, 16, 32))
tools/uvr5/lib/lib_v5/nets_33966KB.py:9
↓ 1 callersMethod__init__
(self, nin, ch, dilations=(4, 8, 16))
tools/uvr5/lib/lib_v5/nets_537227KB.py:9
↓ 1 callersMethod__init__
(self, nin, ch, dilations=(4, 8, 16))
tools/uvr5/lib/lib_v5/nets_537238KB.py:9
↓ 1 callersMethod__init__
(self, nin, ch, dilations=(4, 8, 16))
tools/uvr5/lib/lib_v5/nets_123812KB.py:9
↓ 1 callersMethod__init__
(self, nin, ch, dilations=(4, 8, 16))
tools/uvr5/lib/lib_v5/nets_61968KB.py:9
↓ 1 callersMethod__init__
(self, nin, ch, dilations=(4, 8, 16))
tools/uvr5/lib/lib_v5/nets.py:8
↓ 1 callersMethod__init__
(self, nin, ch, dilations=(4, 8, 16))
tools/uvr5/lib/lib_v5/nets_123821KB.py:9
↓ 1 callersMethod__init__
(self, nin, nout, nin_lstm, nout_lstm, dilations=((4, 2), (8, 4), (12, 6)))
tools/uvr5/lib/lib_v5/nets_new.py:9
↓ 1 callersMethod__init__
( self, params, lr=3e-02, clipping_scale=None, betas=(0.9, 0.98),
GPT_SoVITS/AR/modules/optim.py:156
↓ 1 callersMethod__init__
( self, embedding_dim: int, vocab_size: int, dropout: float = 0.0, )
GPT_SoVITS/AR/modules/embedding.py:9
↓ 1 callersMethod__init__
( self, embedding_dim: int, vocab_size: int, dropout: float = 0.0, )
GPT_SoVITS/AR/modules/embedding_onnx.py:9
↓ 1 callersMethod__init__
(self, w1, b1, w2, b2)
GPT_SoVITS/AR/models/t2s_model.py:75
↓ 1 callersMethod__init__
(self, hparams, version=None,val=False)
GPT_SoVITS/module/data_utils.py:24
↓ 1 callersMethod__init__
(self, configs: Union[dict, str, TTS_Config])
GPT_SoVITS/TTS_infer_pack/TTS.py:408
↓ 1 callersMethod__init__
Initialization. INPUT: - in_features: shape of the input - alpha: trainable parameter alpha is in
GPT_SoVITS/BigVGAN/activations.py:26
↓ 1 callersMethod__init__
(self, ratio=2, kernel_size=None)
GPT_SoVITS/BigVGAN/alias_free_activation/torch/resample.py:11
↓ 1 callersMethod__len__
(self)
GPT_SoVITS/AR/data/dataset.py:211
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