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

↓ 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:757
↓ 2 callersMethodpre_seg_text
(self, text: str, lang: str, text_split_method: str)
GPT_SoVITS/TTS_infer_pack/TextPreprocessor.py:77
↓ 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 callersFunctionreplace_consecutive_punctuation
(text)
GPT_SoVITS/text/chinese2.py:309
↓ 2 callersFunctionreplace_consecutive_punctuation
(text)
GPT_SoVITS/text/chinese.py:69
↓ 2 callersFunctionresample
(audio_tensor, sr0,sr1)
GPT_SoVITS/inference_webui.py:230
↓ 2 callersFunctionresample
(audio_tensor, sr0, sr1, device)
GPT_SoVITS/TTS_infer_pack/TTS.py:109
↓ 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:151
↓ 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:696
↓ 2 callersMethodslice
(self, waveform)
tools/slicer2.py:67
↓ 2 callersFunctionspectral_normalize_torch
(magnitudes)
GPT_SoVITS/module/mel_processing.py:26
↓ 2 callersFunctionspectrogram_torch
(y: Tensor, n_fft: int, sampling_rate: int, hop_size: int, win_size: int, center: bool = False)
GPT_SoVITS/export_torch_script.py:112
↓ 2 callersFunctionsplit
(todo_text)
GPT_SoVITS/inference_webui.py:904
↓ 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:54
↓ 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:790
↓ 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.py:318
↓ 2 callersFunctiontts_handle
Text to speech handler. Args: req (dict): { "text": "", # str.(required) text to be sy
api_v2.py:300
↓ 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, 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, 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:394
↓ 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
↓ 1 callersMethod__str__
(self)
GPT_SoVITS/TTS_infer_pack/TTS.py:375
↓ 1 callersMethod_absolute_position_to_relative_position
x: [b, h, l, l] ret: [b, h, l, 2*l-1]
GPT_SoVITS/module/attentions.py:311
↓ 1 callersMethod_absolute_position_to_relative_position
x: [b, h, l, l] ret: [b, h, l, 2*l-1]
GPT_SoVITS/module/attentions_onnx.py:274
↓ 1 callersMethod_attention_bias_proximal
Bias for self-attention to encourage attention to close positions. Args: length: an integer scalar. Returns: a Ten
GPT_SoVITS/module/attentions.py:325
↓ 1 callersMethod_bisect
(self, x, lo=0, hi=None)
GPT_SoVITS/module/data_utils.py:1011
↓ 1 callersMethod_bu_sandhi
(self, word: str, finals: List[str])
GPT_SoVITS/text/tone_sandhi.py:539
↓ 1 callersFunction_compute_scale_factor
( x: Tensor, channel_dim: int, min_abs: float, max_abs: float, gain_factor: float, max
GPT_SoVITS/AR/modules/scaling.py:133
↓ 1 callersFunction_compute_sign_factor
( x: Tensor, channel_dim: int, min_positive: float, max_positive: float, gain_factor: floa
GPT_SoVITS/AR/modules/scaling.py:158
↓ 1 callersMethod_convert_punctuation
(self, word: Word)
GPT_SoVITS/AR/text_processing/phonemizer.py:41
↓ 1 callersFunction_cpp_extention_load_helper
(name, sources, extra_cuda_flags)
GPT_SoVITS/BigVGAN/alias_free_activation/cuda/load.py:31
↓ 1 callersMethod_create_buckets
(self)
GPT_SoVITS/module/data_utils.py:952
↓ 1 callersFunction_create_build_dir
(buildpath)
GPT_SoVITS/BigVGAN/alias_free_activation/cuda/load.py:77
↓ 1 callersMethod_ff_block
(self, x: Tensor)
GPT_SoVITS/AR/modules/transformer_onnx.py:247
↓ 1 callersFunction_g2p
(segments)
GPT_SoVITS/text/chinese2.py:180
↓ 1 callersMethod_get_clipping_scale
Returns a scalar factor <= 1.0 that dictates gradient clipping, i.e. we will scale the gradients by this amount before applying the r
GPT_SoVITS/AR/modules/optim.py:279
↓ 1 callersFunction_get_clones
(module, N)
GPT_SoVITS/AR/modules/transformer_onnx.py:280
↓ 1 callersFunction_get_clones
(module, N)
GPT_SoVITS/AR/modules/transformer.py:361
↓ 1 callersFunction_get_cuda_bare_metal_version
(cuda_dir)
GPT_SoVITS/BigVGAN/alias_free_activation/cuda/load.py:66
↓ 1 callersFunction_get_initials_finals
(word)
GPT_SoVITS/text/chinese2.py:80
↓ 1 callersFunction_get_initials_finals
(word)
GPT_SoVITS/text/chinese.py:83
↓ 1 callersMethod_get_sample_lengths
(self)
GPT_SoVITS/AR/data/bucket_sampler.py:76
↓ 1 callersFunction_get_value
(value_string: str, use_zero: bool = True)
GPT_SoVITS/text/zh_normalization/num.py:259
↓ 1 callersMethod_init_models
( self, )
GPT_SoVITS/TTS_infer_pack/TTS.py:439
↓ 1 callersMethod_init_state
Initializes state dict for parameter 'p'. Assumes that dim 0 of tensor p is actually the batch dimension, corresponding to batched-t
GPT_SoVITS/AR/modules/optim.py:236
↓ 1 callersFunction_load_config
(config_path: os.PathLike)
GPT_SoVITS/text/g2pw/utils.py:86
↓ 1 callersMethod_load_configs
(self, configs_path: str)
GPT_SoVITS/TTS_infer_pack/TTS.py:338
↓ 1 callersMethod_matmul_with_relative_keys
x: [b, h, l, d] y: [h or 1, m, d] ret: [b, h, l, m]
GPT_SoVITS/module/attentions.py:269
↓ 1 callersMethod_matmul_with_relative_keys
x: [b, h, l, d] y: [h or 1, m, d] ret: [b, h, l, m]
GPT_SoVITS/module/attentions_onnx.py:232
↓ 1 callersMethod_matmul_with_relative_values
x: [b, h, l, m] y: [h or 1, m, d] ret: [b, h, l, d]
GPT_SoVITS/module/attentions.py:260
↓ 1 callersMethod_matmul_with_relative_values
x: [b, h, l, m] y: [h or 1, m, d] ret: [b, h, l, d]
GPT_SoVITS/module/attentions_onnx.py:223
↓ 1 callersMethod_merge_bu
(self, seg: List[Tuple[str, str]])
GPT_SoVITS/text/tone_sandhi.py:631
↓ 1 callersMethod_merge_continuous_three_tones
(self, seg: List[Tuple[str, str]])
GPT_SoVITS/text/tone_sandhi.py:686
↓ 1 callersMethod_merge_continuous_three_tones_2
(self, seg: List[Tuple[str, str]])
GPT_SoVITS/text/tone_sandhi.py:715
↓ 1 callersMethod_merge_er
(self, seg: List[Tuple[str, str]])
GPT_SoVITS/text/tone_sandhi.py:739
↓ 1 callersMethod_merge_reduplication
(self, seg: List[Tuple[str, str]])
GPT_SoVITS/text/tone_sandhi.py:748
↓ 1 callersMethod_merge_yi
(self, seg: List[Tuple[str, str]])
GPT_SoVITS/text/tone_sandhi.py:651
↓ 1 callersMethod_neural_sandhi
(self, word: str, pos: str, finals: List[str])
GPT_SoVITS/text/tone_sandhi.py:495
↓ 1 callersMethod_normalize_punctuation
(self, text: str)
GPT_SoVITS/AR/text_processing/phonemizer.py:35
↓ 1 callersMethod_post_replace
(self, sentence: str)
GPT_SoVITS/text/zh_normalization/text_normlization.py:80
↓ 1 callersMethod_prepare_data
(self, sentences: List[str])
GPT_SoVITS/text/g2pw/onnx_api.py:221
↓ 1 callersMethod_relative_position_to_absolute_position
x: [b, h, l, 2*l-1] ret: [b, h, l, l]
GPT_SoVITS/module/attentions.py:294
↓ 1 callersMethod_relative_position_to_absolute_position
x: [b, h, l, 2*l-1] ret: [b, h, l, l]
GPT_SoVITS/module/attentions_onnx.py:257
↓ 1 callersFunction_remove_dup_and_empty
(lst_list)
GPT_SoVITS/text/g2pw/g2pw.py:100
↓ 1 callersFunction_remove_dup_items
(lst, remove_empty=False)
GPT_SoVITS/text/g2pw/g2pw.py:90
↓ 1 callersMethod_reset_parameters
(self)
GPT_SoVITS/AR/modules/activation_onnx.py:130
↓ 1 callersMethod_reset_parameters
(self)
GPT_SoVITS/AR/modules/activation.py:180
↓ 1 callersMethod_sa_block
( self, x: Tensor, attn_mask: Optional[Tensor], key_padding_mask: Optional[Ten
GPT_SoVITS/AR/modules/transformer_onnx.py:229
↓ 1 callersMethod_same_padding
(self, x)
GPT_SoVITS/module/attentions_onnx.py:352
↓ 1 callersMethod_set_prompt_semantic
(self, ref_wav_path: str)
GPT_SoVITS/TTS_infer_pack/TTS.py:743
↓ 1 callersMethod_set_ref_audio_path
(self, ref_audio_path)
GPT_SoVITS/TTS_infer_pack/TTS.py:707
↓ 1 callersMethod_set_ref_spec
(self, ref_audio_path)
GPT_SoVITS/TTS_infer_pack/TTS.py:710
↓ 1 callersMethod_show_gradient_dominating_parameter
Show information of parameter wihch dominanting tot_sumsq. Args: tuples: a list of tuples of (param, state, param_names)
GPT_SoVITS/AR/modules/optim.py:363
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