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Functions1,310 in github.com/IzayoiSakuya16/GPT-SoVITS-For-Intel

⨍ Functions 1,310◇ Types & classes 261↳ Endpoints 14
↓ 3 callersFunctiong2p
(text)
GPT_SoVITS/text/english.py:363
↓ 3 callersMethodget_bert_feature
(self, text: str, word2ph: list)
GPT_SoVITS/TTS_infer_pack/TextPreprocessor.py:189
↓ 3 callersFunctionget_pos_embed_indices
(start, length, max_pos, scale=1.0)
GPT_SoVITS/f5_tts/model/modules.py:210
↓ 3 callersFunctionget_raw_t2s_model
(dict_s1)
GPT_SoVITS/export_torch_script.py:36
↓ 3 callersFunctionget_spepc
(hps, filename)
api.py:536
↓ 3 callersMethodinfer_panel
( self, x: torch.LongTensor, #####全部文本token x_lens: torch.LongTensor, prompts
GPT_SoVITS/AR/models/t2s_model.py:920
↓ 3 callersFunctioninference
(a, h)
GPT_SoVITS/BigVGAN/inference.py:23
↓ 3 callersMethodinit_t2s_weights
(self, weights_path: str)
GPT_SoVITS/TTS_infer_pack/TTS.py:551
↓ 3 callersFunctionlatin_to_hangul
(text)
GPT_SoVITS/text/korean.py:170
↓ 3 callersFunctionload_checkpoint
(filepath, device)
GPT_SoVITS/BigVGAN/utils0.py:61
↓ 3 callersMethodmodified_tone
(self, word: str, pos: str, finals: List[str])
GPT_SoVITS/text/tone_sandhi.py:776
↓ 3 callersFunctionnorm_spec
(x)
GPT_SoVITS/inference_webui.py:598
↓ 3 callersFunctionplot_spectrogram
(spectrogram)
GPT_SoVITS/BigVGAN/utils0.py:16
↓ 3 callersFunctionprecompute_freqs_cis
(dim: int, end: int, theta: float = 10000.0, theta_rescale_factor=1.0)
GPT_SoVITS/f5_tts/model/modules.py:196
↓ 3 callersMethodprocess_prompt
( self, x: torch.Tensor, attn_mask: torch.Tensor, padding_mask: Optional[torch
GPT_SoVITS/AR/models/t2s_model.py:135
↓ 3 callersFunctionsample
( logits, previous_tokens, **sampling_kwargs, )
GPT_SoVITS/AR/models/t2s_model_onnx.py:81
↓ 3 callersFunctionsavee
(ckpt, name, epoch, steps, hps, cfm_version=None,lora_rank=None)
GPT_SoVITS/process_ckpt.py:42
↓ 3 callersMethodsegment_and_extract_feature_for_text
( self, text: str, language: str, version: str = "v1" )
GPT_SoVITS/TTS_infer_pack/TextPreprocessor.py:117
↓ 3 callersMethodset_epoch
r""" Sets the epoch for this sampler. When :attr:`shuffle=True`, this ensures all replicas use a different random ordering for each ep
GPT_SoVITS/AR/data/bucket_sampler.py:140
↓ 3 callersFunctionset_no_grad
(net_g)
GPT_SoVITS/module/models.py:1068
↓ 3 callersFunctionset_no_grad
(net_g)
GPT_SoVITS/module/models_onnx.py:945
↓ 3 callersFunctionslice
(inp, opt_root, threshold, min_length, min_interval, hop_size, max_sil_kept, _max, alpha, i_part, all_part)
tools/slice_audio.py:13
↓ 3 callersFunctiontest_export1
( todo_text, gpt_sovits_v3, output, )
GPT_SoVITS/export_torch_script_v3.py:849
↓ 3 callersFunctiontranditional_to_simplified
(text: str)
GPT_SoVITS/text/zh_normalization/char_convert.py:30
↓ 3 callersMethodupdate_configs
(self)
GPT_SoVITS/TTS_infer_pack/TTS.py:359
↓ 3 callersMethodupdate_ref_audio
(self, file_path)
GPT_SoVITS/inference_gui.py:266
↓ 2 callersFunctionBalancedDoubleSwish
ActivationBalancer -> DoubleSwish
GPT_SoVITS/AR/modules/scaling.py:312
↓ 2 callersMethod__init__
( self, dim: int, codebook_size: int, kmeans_init: int = False, kmeans
GPT_SoVITS/module/core_vq.py:113
↓ 2 callersMethod__init__
( self, *, dim, depth=8, heads=8, dim_head=64, dropout
GPT_SoVITS/f5_tts/model/backbones/mmdit.py:77
↓ 2 callersMethod__init__
( self, *, dim, depth=8, heads=8, dim_head=64, dropout
GPT_SoVITS/f5_tts/model/backbones/unett.py:97
↓ 2 callersMethod__init__
( self, *, dim, depth=8, heads=8, dim_head=64, dropout
GPT_SoVITS/f5_tts/model/backbones/dit.py:89
↓ 2 callersMethod__init__
(self, h: AttrDict, use_cuda_kernel: bool = False)
GPT_SoVITS/BigVGAN/bigvgan.py:249
↓ 2 callersMethod_ff_block
(self, x: Tensor)
GPT_SoVITS/AR/modules/transformer.py:328
↓ 2 callersMethod_get_ref_spec
(self, ref_audio_path)
GPT_SoVITS/TTS_infer_pack/TTS.py:717
↓ 2 callersMethod_get_relative_embeddings
(self, relative_embeddings, length)
GPT_SoVITS/module/attentions.py:278
↓ 2 callersMethod_get_relative_embeddings
(self, relative_embeddings, length)
GPT_SoVITS/module/attentions_onnx.py:241
↓ 2 callersMethod_is_reduplication
(self, word: str)
GPT_SoVITS/text/tone_sandhi.py:711
↓ 2 callersFunction_merge_erhua
Do erhub.
GPT_SoVITS/text/chinese2.py:142
↓ 2 callersMethod_path_audio_
(self, input, others_root, vocal_root, format, is_hp3=False)
tools/uvr5/mdxnet.py:222
↓ 2 callersMethod_sa_block
( self, x: Tensor, attn_mask: Optional[Tensor], key_padding_mask: Optional[Ten
GPT_SoVITS/AR/modules/transformer.py:305
↓ 2 callersMethod_split_word
(self, word: str)
GPT_SoVITS/text/tone_sandhi.py:573
↓ 2 callersMethodattention
(self, query, key, value, mask=None)
GPT_SoVITS/module/attentions.py:227
↓ 2 callersMethodaudio_postprocess
( self, audio: List[torch.Tensor], sr: int, batch_index_list: list = None,
GPT_SoVITS/TTS_infer_pack/TTS.py:1308
↓ 2 callersMethodbackward
(ctx, output_grads)
GPT_SoVITS/BigVGAN/alias_free_activation/cuda/activation1d.py:28
↓ 2 callersFunctionbatch_sequences
(sequences: List[np.array], axis: int = 0, pad_value: int = 0)
GPT_SoVITS/AR/data/dataset.py:21
↓ 2 callersFunctionchange_choices
()
webui.py:306
↓ 2 callersFunctioncheck_fw_local_models
启动时检查本地是否有 Faster Whisper 模型.
tools/asr/config.py:4
↓ 2 callersFunctionconvert_pad_shape
(pad_shape)
GPT_SoVITS/module/commons.py:106
↓ 2 callersMethodcreate_ge
(self, refer)
GPT_SoVITS/module/models_onnx.py:1048
↓ 2 callersFunctioncreate_model
(language="zh")
tools/asr/funasr_asr.py:25
↓ 2 callersFunctioncut_text
(text, punc)
api.py:676
↓ 2 callersMethoddecode_next_token
(self, x: torch.Tensor, k_cache: torch.Tensor, v_cache: torch.Tensor)
GPT_SoVITS/export_torch_script.py:276
↓ 2 callersFunctiondefault
(v, d)
tools/uvr5/bs_roformer/bs_roformer.py:27
↓ 2 callersFunctiondefault
(v, d)
tools/uvr5/bs_roformer/mel_band_roformer.py:30
↓ 2 callersFunctiondenorm_spec
(x)
GPT_SoVITS/TTS_infer_pack/TTS.py:52
↓ 2 callersMethoddequantize
(self, embed_ind)
GPT_SoVITS/module/core_vq.py:181
↓ 2 callersFunctiondiscriminator_loss
( disc_real_outputs: List[torch.Tensor], disc_generated_outputs: List[torch.Tensor] )
GPT_SoVITS/BigVGAN/loss.py:212
↓ 2 callersFunctionema_inplace
(moving_avg, new, decay: float)
GPT_SoVITS/module/core_vq.py:47
↓ 2 callersFunctionexists
(val)
tools/uvr5/bs_roformer/attend.py:7
↓ 2 callersMethodexport
(self, ref_seq, text_seq, ref_bert, text_bert, ssl_content, project_name, dynamo=False)
GPT_SoVITS/onnx_export.py:132
↓ 2 callersMethodextend_pe
Reset the positional encodings.
GPT_SoVITS/AR/modules/embedding.py:54
↓ 2 callersFunctionfeature_loss
(fmap_r: List[List[torch.Tensor]], fmap_g: List[List[torch.Tensor]])
GPT_SoVITS/BigVGAN/loss.py:203
↓ 2 callersFunctionfix_g2pk2_error
(text)
GPT_SoVITS/text/korean.py:155
↓ 2 callersFunctionfull_cjk
(text)
GPT_SoVITS/text/LangSegmenter/langsegmenter.py:28
↓ 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:177
↓ 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:98
↓ 2 callersFunctionget_optim
(net_g)
GPT_SoVITS/s2_train_v3_lora.py:106
↓ 2 callersFunctionget_phones_and_bert
(text, language, version, final=False)
api.py:444
↓ 2 callersFunctionget_sovits_weights
(sovits_path)
GPT_SoVITS/export_torch_script_v3.py:403
↓ 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:673
↓ 2 callersFunctionget_weights_names
()
webui.py:279
↓ 2 callersFunctionget_weights_names
(GPT_weight_root, SoVITS_weight_root)
GPT_SoVITS/inference_webui_fast.py:246
↓ 2 callersFunctionget_weights_names
(GPT_weight_root, SoVITS_weight_root)
GPT_SoVITS/inference_webui.py:1036
↓ 2 callersFunctionhandle
( refer_wav_path, prompt_text, prompt_language, text, text_language, cut_punc, top
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:922
↓ 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 callersFunctioninit_bigvgan
()
api.py:201
↓ 2 callersFunctioninit_bigvgan
()
GPT_SoVITS/inference_webui.py:403
↓ 2 callersFunctioninit_hifigan
()
GPT_SoVITS/inference_webui.py:424
↓ 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 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 callersFunctionmodel2device
(net_g, device)
GPT_SoVITS/s2_train_v3_lora.py:115
↓ 2 callersFunctionmy_save
(fea, path)
GPT_SoVITS/process_ckpt.py:12
↓ 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:48
↓ 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
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