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

↓ 1 callersFunctiondefault
(val: tp.Any, d: tp.Any)
GPT_SoVITS/module/core_vq.py:43
↓ 1 callersMethoddemix
(self, mix)
tools/uvr5/mdxnet.py:91
↓ 1 callersMethoddemix_base
(self, mixes, margin_size)
tools/uvr5/mdxnet.py:125
↓ 1 callersMethoddemix_track
(self, model, mix, device)
tools/uvr5/bsroformer.py:111
↓ 1 callersFunctiondenorm_spec
(x)
api.py:238
↓ 1 callersFunctiondenorm_spec
(x)
GPT_SoVITS/inference_webui.py:664
↓ 1 callersFunctiondiscriminator_loss
(disc_real_outputs, disc_generated_outputs)
GPT_SoVITS/module/losses.py:17
↓ 1 callersFunctiondivide_hangul
(text)
GPT_SoVITS/text/korean.py:176
↓ 1 callersFunctiondownload_and_decompress
(model_dir: str = "G2PWModel/")
GPT_SoVITS/text/g2pw/onnx_api.py:58
↓ 1 callersFunctiondpo_loss
( policy_chosen_logps: torch.FloatTensor, policy_rejected_logps: torch.FloatTensor, reference_chos
GPT_SoVITS/AR/models/utils.py:202
↓ 1 callersFunctiondynamic_range_compression_torch
PARAMS ------ C: compression factor
GPT_SoVITS/module/mel_processing.py:8
↓ 1 callersFunctiondynamic_range_compression_torch
(x, C=1, clip_val=1e-5)
GPT_SoVITS/BigVGAN/meldataset.py:31
↓ 1 callersFunctiondynamic_range_decompression_torch
PARAMS ------ C: compression factor used to compress
GPT_SoVITS/module/mel_processing.py:17
↓ 1 callersFunctiondynamic_range_decompression_torch
(x, C=1)
GPT_SoVITS/BigVGAN/meldataset.py:35
↓ 1 callersMethodembed
(self, x)
GPT_SoVITS/module/models.py:721
↓ 1 callersFunctionensembling
(a, specs)
tools/uvr5/lib/lib_v5/spec_utils.py:453
↓ 1 callersFunctionexecute_asr
(input_folder, output_folder, model_size, language)
tools/asr/funasr_asr.py:71
↓ 1 callersFunctionexecute_asr
(input_folder, output_folder, model_size, language, precision)
tools/asr/fasterwhisper_asr.py:41
↓ 1 callersFunctionexecute_denoise
(input_folder, output_folder)
tools/cmd-denoise.py:14
↓ 1 callersMethodexpire_codes_
(self, batch_samples)
GPT_SoVITS/module/core_vq.py:156
↓ 1 callersFunctionexport
(gpt_path, vits_path, ref_audio_path, ref_text, output_path, export_bert_and_ssl=False, device="cpu")
GPT_SoVITS/export_torch_script.py:611
↓ 1 callersFunctionexport
(vits_path, gpt_path, project_name, vits_model="v2")
GPT_SoVITS/onnx_export.py:277
↓ 1 callersFunctionexport_1
(ref_wav_path,ref_wav_text,version="v3")
GPT_SoVITS/export_torch_script_v3v4.py:702
↓ 1 callersFunctionexport_bert
(output_path)
GPT_SoVITS/export_torch_script.py:577
↓ 1 callersFunctionexport_cfm
( e_cfm: ExportCFM, mu: torch.Tensor, x_lens: torch.LongTensor, prompt: torch.Tensor, n_ti
GPT_SoVITS/export_torch_script_v3v4.py:636
↓ 1 callersMethodextend_pe
(self, x)
GPT_SoVITS/AR/modules/embedding_onnx.py:52
↓ 1 callersFunctionextract_i18n_strings
(node)
tools/i18n/scan_i18n.py:15
↓ 1 callersFunctionfbank
r"""Create a fbank from a raw audio signal. This matches the input/output of Kaldi's compute-fbank-feats. Args: waveform (Tensor): Te
GPT_SoVITS/eres2net/kaldi.py:514
↓ 1 callersFunctionfeature_loss
(fmap_r, fmap_g)
GPT_SoVITS/module/losses.py:6
↓ 1 callersMethodfilter_text
(self, texts)
GPT_SoVITS/TTS_infer_pack/TextPreprocessor.py:222
↓ 1 callersFunctionfix_gpu_numbers
(inputs)
webui.py:158
↓ 1 callersMethodflash_attn
(self, q, k, v)
tools/uvr5/bs_roformer/attend.py:27
↓ 1 callersMethodforward
(self, x, aggressiveness=None)
tools/uvr5/lib/lib_v5/nets_33966KB.py:60
↓ 1 callersMethodforward
(self, x, aggressiveness=None)
tools/uvr5/lib/lib_v5/nets_537227KB.py:60
↓ 1 callersMethodforward
(self, x, aggressiveness=None)
tools/uvr5/lib/lib_v5/nets_537238KB.py:60
↓ 1 callersMethodforward
(self, x, aggressiveness=None)
tools/uvr5/lib/lib_v5/nets_123812KB.py:60
↓ 1 callersMethodforward
(self, x, aggressiveness=None)
tools/uvr5/lib/lib_v5/nets_61968KB.py:60
↓ 1 callersMethodforward
(self, x, aggressiveness=None)
tools/uvr5/lib/lib_v5/nets.py:59
↓ 1 callersMethodforward
(self, x, aggressiveness=None)
tools/uvr5/lib/lib_v5/nets_123821KB.py:60
↓ 1 callersMethodforward
(self, x)
GPT_SoVITS/BigVGAN/alias_free_activation/cuda/activation1d.py:52
↓ 1 callersFunctionfull_en
(text)
GPT_SoVITS/text/LangSegmenter/langsegmenter.py:17
↓ 1 callersFunctionfused_add_tanh_sigmoid_multiply
(input, n_channels)
GPT_SoVITS/module/mrte_model.py:158
↓ 1 callersFunctiong2p
(text)
GPT_SoVITS/text/chinese2.py:73
↓ 1 callersFunctiong2p
(text)
GPT_SoVITS/text/cantonese.py:203
↓ 1 callersFunctiong2p
(text)
GPT_SoVITS/text/korean.py:324
↓ 1 callersFunctiong2p
(norm_text, with_prosody=True)
GPT_SoVITS/text/japanese.py:267
↓ 1 callersFunctiong2p
(text)
GPT_SoVITS/text/chinese.py:76
↓ 1 callersFunctiongenerate_soundwave
(duration=5.0, sr=24000)
GPT_SoVITS/BigVGAN/tests/test_cuda_vs_torch_model.py:29
↓ 1 callersFunctiongenerator_loss
(disc_outputs)
GPT_SoVITS/module/losses.py:33
↓ 1 callersMethodget_audio
(self, filename)
GPT_SoVITS/module/data_utils.py:136
↓ 1 callersMethodget_audio
(self, filename)
GPT_SoVITS/module/data_utils.py:377
↓ 1 callersMethodget_audio
(self, filename)
GPT_SoVITS/module/data_utils.py:615
↓ 1 callersMethodget_audio
(self, filename)
GPT_SoVITS/module/data_utils.py:826
↓ 1 callersMethodget_audio_text_speaker_pair
(self, audiopath_sid_text)
GPT_SoVITS/module/data_utils.py:109
↓ 1 callersMethodget_audio_text_speaker_pair
(self, audiopath_sid_text)
GPT_SoVITS/module/data_utils.py:356
↓ 1 callersMethodget_audio_text_speaker_pair
(self, audiopath_sid_text)
GPT_SoVITS/module/data_utils.py:594
↓ 1 callersMethodget_audio_text_speaker_pair
(self, audiopath_sid_text)
GPT_SoVITS/module/data_utils.py:805
↓ 1 callersFunctionget_batch_logps
( logits_target: torch.FloatTensor, logits_reject: torch.FloatTensor, labels_target: torch.LongTen
GPT_SoVITS/AR/models/utils.py:225
↓ 1 callersFunctionget_bert_feature
(text, word2ph)
GPT_SoVITS/prepare_datasets/1-get-text.py:68
↓ 1 callersFunctionget_bert_inf
(phones, word2ph, norm_text, language)
api.py:428
↓ 1 callersFunctionget_bert_inf
(phones, word2ph, norm_text, language)
GPT_SoVITS/inference_webui.py:549
↓ 1 callersMethodget_bert_inf
(self, phones: list, word2ph: list, norm_text: str, language: str)
GPT_SoVITS/TTS_infer_pack/TextPreprocessor.py:210
↓ 1 callersFunctionget_char_phoneme_labels
(polyphonic_chars: List[List[str]])
GPT_SoVITS/text/g2pw/dataset.py:153
↓ 1 callersMethodget_config
(self, config_path)
tools/uvr5/bsroformer.py:17
↓ 1 callersFunctionget_content
(hmodel, wav_16k_tensor)
GPT_SoVITS/feature_extractor/cnhubert.py:93
↓ 1 callersFunctionget_dataset_filelist
(a)
GPT_SoVITS/BigVGAN/meldataset.py:142
↓ 1 callersMethodget_default_config
(self)
tools/uvr5/bsroformer.py:23
↓ 1 callersFunctionget_device_dtype_sm
(idx: int)
config.py:148
↓ 1 callersFunctionget_dict
()
GPT_SoVITS/text/english.py:210
↓ 1 callersFunctionget_dict
()
GPT_SoVITS/text/g2pw/g2pw.py:117
↓ 1 callersFunctionget_first
(text: str)
GPT_SoVITS/TTS_infer_pack/TextPreprocessor.py:28
↓ 1 callersFunctionget_gpt_weights
(gpt_path)
api.py:376
↓ 1 callersFunctionget_hash_from_file
(sovits_path)
GPT_SoVITS/process_ckpt.py:90
↓ 1 callersFunctionget_jyutping
(text)
GPT_SoVITS/text/cantonese.py:176
↓ 1 callersFunctionget_mel
(x, h)
GPT_SoVITS/BigVGAN/tests/test_cuda_vs_torch_model.py:44
↓ 1 callersFunctionget_mel_banks
Returns: (Tensor, Tensor): The tuple consists of ``bins`` (which is melbank of size (``num_bins``, ``num_fft_bins``)) and ``cente
GPT_SoVITS/eres2net/kaldi.py:436
↓ 1 callersMethodget_mel_filters
(sr, n_fft, n_mels, fmin, fmax)
GPT_SoVITS/BigVGAN/loss.py:104
↓ 1 callersFunctionget_mel_spectrogram
Generate mel spectrogram from a waveform using given hyperparameters. Args: wav (torch.Tensor): Input waveform. h: Hyperpara
GPT_SoVITS/BigVGAN/meldataset.py:119
↓ 1 callersFunctionget_model
()
GPT_SoVITS/feature_extractor/cnhubert.py:71
↓ 1 callersMethodget_model_from_config
(self)
tools/uvr5/bsroformer.py:97
↓ 1 callersFunctionget_models
(device, dim_f, dim_t, n_fft)
tools/uvr5/mdxnet.py:62
↓ 1 callersFunctionget_namedict
()
GPT_SoVITS/text/english.py:223
↓ 1 callersFunctionget_newest_ckpt
(string_list)
GPT_SoVITS/AR/utils/__init__.py:8
↓ 1 callersFunctionget_next_path
(filename)
tools/subfix_webui.py:138
↓ 1 callersFunctionget_phoneme_labels
(polyphonic_chars: List[List[str]])
GPT_SoVITS/text/g2pw/dataset.py:143
↓ 1 callersMethodget_phones_and_bert
(self, text: str, language: str, version: str, final: bool = False)
GPT_SoVITS/TTS_infer_pack/TextPreprocessor.py:122
↓ 1 callersFunctionget_rms
( y, frame_length=2048, hop_length=512, pad_mode="constant", )
tools/slicer2.py:5
↓ 1 callersMethodget_sample_length
(self, idx: int)
GPT_SoVITS/AR/data/dataset.py:241
↓ 1 callersFunctionget_sovits_weights
(sovits_path)
api.py:295
↓ 1 callersFunctionget_tts_wav
( ref_wav_path, prompt_text, prompt_language, text, text_language, top_k=15,
api.py:715
↓ 1 callersFunctionget_tts_wavs
(ref_wav_path, prompt_text, prompt_language, textss, text_language)
batch_inference.py:285
↓ 1 callersMethodget_window
( window_type, window_length, )
GPT_SoVITS/BigVGAN/loss.py:96
↓ 1 callersFunctionhandle_control
(command: str)
api_v2.py:252
↓ 1 callersFunctionhot_reload_hot
(g2p_dict)
GPT_SoVITS/text/english.py:187
↓ 1 callersFunctionhtml_center
(text, label="p")
tools/uvr5/webui.py:39
↓ 1 callersFunctionhtml_left
(text, label="p")
tools/uvr5/webui.py:33
↓ 1 callersFunctionhtml_left
(text, label="p")
GPT_SoVITS/inference_webui.py:1112
↓ 1 callersMethodinfer_panel_naive_batched
( self, x: List[torch.LongTensor], #####全部文本token x_lens: torch.LongTensor, p
GPT_SoVITS/AR/models/t2s_model.py:781
↓ 1 callersFunctioninference
(a, h)
GPT_SoVITS/BigVGAN/inference_e2e.py:38
↓ 1 callersFunctioninference
(a, h)
GPT_SoVITS/BigVGAN/inference.py:23
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