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RVC-Boss/GPT-SoVITS

1 min voice data can also be used to train a good TTS model! (few shot voice cloning)

5.9 Low AI signal View on GitHub
5.9
Adjusted Score
5.9
Raw Score
100%
Time Factor
2026-04-30
Last Push
58,205
Stars
Python
Language
62,182
Lines of Code
273
Files
273
Pattern Hits
2026-05-31
Scan Date

Score History

Severity Breakdown

CRITICAL 0HIGH 14MEDIUM 20LOW 239

Pattern Findings

273 matches across 14 categories. Click a row to expand file-level details.

Hyper-Verbose Identifiers70 hits · 72 pts
SeverityFileLineSnippet
LOWwebui.py167def check_pretrained_is_exist(version):
LOWapi.py494def change_gpt_sovits_weights(gpt_path, sovits_path):
LOWtools/uvr5/lib/lib_v5/spec_utils.py139def reduce_vocal_aggressively(X, y, softmask):
LOWGPT_SoVITS/process_ckpt.py100def get_sovits_version_from_path_fast(sovits_path):
LOWGPT_SoVITS/inference_webui.py751def merge_short_text_in_array(texts, threshold):
LOWGPT_SoVITS/export_torch_script.py107def multinomial_sample_one_no_sync(probs_sort):
LOWGPT_SoVITS/export_torch_script.py554def build_phone_level_feature(res: Tensor, word2ph: IntTensor):
LOWGPT_SoVITS/utils.py120def plot_spectrogram_to_numpy(spectrogram):
LOWGPT_SoVITS/stream_v2pro.py188def find_best_audio_offset_fast(reference_audio: Tensor, search_audio: Tensor):
LOWGPT_SoVITS/eres2net/kaldi.py125def _get_waveform_and_window_properties(
LOWGPT_SoVITS/module/mel_processing.py8def dynamic_range_compression_torch(x, C=1, clip_val=1e-5):
LOWGPT_SoVITS/module/mel_processing.py17def dynamic_range_decompression_torch(x, C=1):
LOWGPT_SoVITS/module/mel_processing.py31def spectral_de_normalize_torch(magnitudes):
LOWGPT_SoVITS/module/transforms.py12def piecewise_rational_quadratic_transform(
LOWGPT_SoVITS/module/transforms.py50def unconstrained_rational_quadratic_spline(
LOWGPT_SoVITS/module/transforms.py100def rational_quadratic_spline(
LOWGPT_SoVITS/module/mrte_model.py158def fused_add_tanh_sigmoid_multiply(input, n_channels):
LOWGPT_SoVITS/module/attentions.py260 def _matmul_with_relative_values(self, x, y):
LOWGPT_SoVITS/module/attentions.py269 def _matmul_with_relative_keys(self, x, y):
LOWGPT_SoVITS/module/attentions.py294 def _relative_position_to_absolute_position(self, x):
LOWGPT_SoVITS/module/attentions.py311 def _absolute_position_to_relative_position(self, x):
LOWGPT_SoVITS/module/attentions.py507def remove_weight_norm_modules(module, name="weight"):
LOWGPT_SoVITS/module/data_utils.py109 def get_audio_text_speaker_pair(self, audiopath_sid_text):
LOWGPT_SoVITS/module/data_utils.py375 def get_audio_text_speaker_pair(self, audiopath_sid_text):
LOWGPT_SoVITS/module/data_utils.py613 def get_audio_text_speaker_pair(self, audiopath_sid_text):
LOWGPT_SoVITS/module/data_utils.py824 def get_audio_text_speaker_pair(self, audiopath_sid_text):
LOWGPT_SoVITS/module/commons.py97def fused_add_tanh_sigmoid_multiply(input_a, input_b, n_channels):
LOWGPT_SoVITS/module/attentions_onnx.py27def fused_add_tanh_sigmoid_multiply(input_a, input_b, n_channels):
LOWGPT_SoVITS/module/attentions_onnx.py223 def _matmul_with_relative_values(self, x, y):
LOWGPT_SoVITS/module/attentions_onnx.py232 def _matmul_with_relative_keys(self, x, y):
LOWGPT_SoVITS/module/attentions_onnx.py257 def _relative_position_to_absolute_position(self, x):
LOWGPT_SoVITS/module/attentions_onnx.py274 def _absolute_position_to_relative_position(self, x):
LOWGPT_SoVITS/TTS_infer_pack/TTS.py1665 def using_vocoder_synthesis_batched_infer(
LOWGPT_SoVITS/TTS_infer_pack/TextPreprocessor.py34def merge_short_text_in_array(texts: str, threshold: int) -> list:
LOWGPT_SoVITS/TTS_infer_pack/TextPreprocessor.py117 def segment_and_extract_feature_for_text(
LOWGPT_SoVITS/TTS_infer_pack/TextPreprocessor.py235 def replace_consecutive_punctuation(self, text):
LOWGPT_SoVITS/BigVGAN/meldataset.py23def dynamic_range_compression(x, C=1, clip_val=1e-5):
LOWGPT_SoVITS/BigVGAN/meldataset.py27def dynamic_range_decompression(x, C=1):
LOWGPT_SoVITS/BigVGAN/meldataset.py31def dynamic_range_compression_torch(x, C=1, clip_val=1e-5):
LOWGPT_SoVITS/BigVGAN/meldataset.py35def dynamic_range_decompression_torch(x, C=1):
LOWGPT_SoVITS/BigVGAN/meldataset.py43def spectral_de_normalize_torch(magnitudes):
LOWGPT_SoVITS/BigVGAN/alias_free_activation/cuda/load.py31 def _cpp_extention_load_helper(name, sources, extra_cuda_flags):
LOWGPT_SoVITS/BigVGAN/alias_free_activation/cuda/load.py66def _get_cuda_bare_metal_version(cuda_dir):
LOWGPT_SoVITS/BigVGAN/tests/test_activation.py24def test_anti_alias_activation():
LOWGPT_SoVITS/BigVGAN/tests/test_activation_snake_beta.py24def test_anti_alias_activation():
LOWGPT_SoVITS/f5_tts/model/modules.py30def get_bigvgan_mel_spectrogram(
LOWGPT_SoVITS/f5_tts/model/modules.py75def get_vocos_mel_spectrogram(
LOWGPT_SoVITS/AR/models/t2s_model_onnx.py74def multinomial_sample_one_no_sync(
LOWGPT_SoVITS/AR/models/utils.py140def multinomial_sample_one_no_sync(
LOWGPT_SoVITS/AR/models/t2s_model.py39def scaled_dot_product_attention(
LOWGPT_SoVITS/AR/models/t2s_model.py783 def infer_panel_naive_batched(
LOWGPT_SoVITS/AR/modules/patched_mha_with_cache_onnx.py7def multi_head_attention_forward_patched(
LOWGPT_SoVITS/AR/modules/patched_mha_with_cache.py13def multi_head_attention_forward_patched(
LOWGPT_SoVITS/AR/modules/optim.py363 def _show_gradient_dominating_parameter(self, tuples: List[Tuple[Tensor, dict, List[str]]], tot_sumsq: Tensor):
LOWGPT_SoVITS/text/chinese2.py305def replace_punctuation_with_en(text):
LOWGPT_SoVITS/text/chinese2.py316def replace_consecutive_punctuation(text):
LOWGPT_SoVITS/text/cantonese.py118def jyuping_to_initials_finals_tones(jyuping_syllables):
LOWGPT_SoVITS/text/japanese.py138def replace_consecutive_punctuation(text):
LOWGPT_SoVITS/text/japanese.py260def _numeric_feature_by_regex(regex, s):
LOWGPT_SoVITS/text/english.py124def replace_consecutive_punctuation(text):
10 more matches not shown…
Cross-File Repetition12 hits · 60 pts
SeverityFileLineSnippet
HIGHGPT_SoVITS/module/data_utils.py01) loads audio, speaker_id, text pairs 2) normalizes text and converts them to sequences of integers 3) computes spectro
HIGHGPT_SoVITS/module/data_utils.py01) loads audio, speaker_id, text pairs 2) normalizes text and converts them to sequences of integers 3) computes spectro
HIGHGPT_SoVITS/module/data_utils.py01) loads audio, speaker_id, text pairs 2) normalizes text and converts them to sequences of integers 3) computes spectro
HIGHGPT_SoVITS/module/data_utils.py01) loads audio, speaker_id, text pairs 2) normalizes text and converts them to sequences of integers 3) computes spectro
HIGHGPT_SoVITS/module/data_utils.py0collate's training batch from normalized text, audio and speaker identities params ------ batch: [text_normalized, spec_
HIGHGPT_SoVITS/module/data_utils.py0collate's training batch from normalized text, audio and speaker identities params ------ batch: [text_normalized, spec_
HIGHGPT_SoVITS/module/data_utils.py0collate's training batch from normalized text, audio and speaker identities params ------ batch: [text_normalized, spec_
HIGHGPT_SoVITS/module/data_utils.py0collate's training batch from normalized text, audio and speaker identities params ------ batch: [text_normalized, spec_
HIGHGPT_SoVITS/f5_tts/model/modules.py0ein notation: b - batch n - sequence nt - text sequence nw - raw wave length d - dimension
HIGHGPT_SoVITS/f5_tts/model/backbones/mmdit.py0ein notation: b - batch n - sequence nt - text sequence nw - raw wave length d - dimension
HIGHGPT_SoVITS/f5_tts/model/backbones/unett.py0ein notation: b - batch n - sequence nt - text sequence nw - raw wave length d - dimension
HIGHGPT_SoVITS/f5_tts/model/backbones/dit.py0ein notation: b - batch n - sequence nt - text sequence nw - raw wave length d - dimension
Deep Nesting59 hits · 59 pts
SeverityFileLineSnippet
LOWapi_v2.py345
LOWwebui.py244
LOWwebui.py1046
LOWapi.py545
LOWapi.py830
LOWtools/slicer2.py67
LOWtools/slice_audio.py13
LOWtools/my_utils.py49
LOWtools/my_utils.py140
LOWtools/my_utils.py187
LOWtools/uvr5/webui.py45
LOWtools/uvr5/vr.py45
LOWtools/uvr5/vr.py217
LOWtools/uvr5/mdxnet.py172
LOWtools/uvr5/bsroformer.py111
LOWtools/uvr5/lib/utils.py94
LOWtools/asr/fasterwhisper_asr.py104
LOWtools/i18n/scan_i18n.py29
LOWGPT_SoVITS/s1_train.py46
LOWGPT_SoVITS/inference_webui.py640
LOWGPT_SoVITS/inference_webui.py790
LOWGPT_SoVITS/s2_train_v3_lora.py263
LOWGPT_SoVITS/s2_train.py318
LOWGPT_SoVITS/stream_v2pro.py240
LOWGPT_SoVITS/eres2net/kaldi.py86
LOWGPT_SoVITS/module/mrte_model.py25
LOWGPT_SoVITS/module/ddp_utils.py58
LOWGPT_SoVITS/TTS_infer_pack/TTS.py856
LOWGPT_SoVITS/TTS_infer_pack/TTS.py998
LOWGPT_SoVITS/TTS_infer_pack/TextPreprocessor.py122
LOWGPT_SoVITS/BigVGAN/train.py56
LOWGPT_SoVITS/BigVGAN/train.py265
LOWGPT_SoVITS/BigVGAN/meldataset.py222
LOWGPT_SoVITS/f5_tts/model/backbones/unett.py164
LOWGPT_SoVITS/AR/utils/initialize.py8
LOWGPT_SoVITS/AR/models/t2s_model_cudagraph.py458
LOWGPT_SoVITS/AR/models/t2s_model.py583
LOWGPT_SoVITS/AR/modules/patched_mha_with_cache.py13
LOWGPT_SoVITS/AR/modules/activation.py204
LOWGPT_SoVITS/AR/modules/optim.py197
LOWGPT_SoVITS/text/chinese2.py180
LOWGPT_SoVITS/text/cantonese.py118
LOWGPT_SoVITS/text/cantonese.py176
LOWGPT_SoVITS/text/japanese.py183
LOWGPT_SoVITS/text/english.py131
LOWGPT_SoVITS/text/english.py155
LOWGPT_SoVITS/text/english.py270
LOWGPT_SoVITS/text/english.py309
LOWGPT_SoVITS/text/tone_sandhi.py495
LOWGPT_SoVITS/text/tone_sandhi.py550
LOWGPT_SoVITS/text/tone_sandhi.py586
LOWGPT_SoVITS/text/chinese.py94
LOWGPT_SoVITS/text/korean.py183
LOWGPT_SoVITS/text/korean.py15
LOWGPT_SoVITS/text/en_normalization/expend.py226
LOWGPT_SoVITS/text/g2pw/onnx_api.py74
LOWGPT_SoVITS/text/g2pw/onnx_api.py248
LOWGPT_SoVITS/text/g2pw/utils.py132
LOWGPT_SoVITS/text/LangSegmenter/langsegmenter.py90
Excessive Try-Catch Wrapping36 hits · 43 pts
SeverityFileLineSnippet
LOWapi_v2.py444 except Exception as e:
LOWapi_v2.py521 except Exception as e:
LOWapi_v2.py551 except Exception as e:
LOWapi_v2.py563 except Exception as e:
LOWapi_v2.py573 except Exception:
LOWwebui.py32 except Exception as e:
LOWapi.py498 except Exception as e:
LOWapi.py901 except Exception as e:
MEDIUMapi.py494def change_gpt_sovits_weights(gpt_path, sovits_path):
LOWtools/my_utils.py29 except Exception:
MEDIUMtools/my_utils.py16def load_audio(file, sr):
MEDIUMtools/uvr5/bsroformer.py107 print("Error: Unknown model: {}".format(self.model_type))
LOWtools/uvr5/bsroformer.py212 except Exception as e:
MEDIUMtools/uvr5/bsroformer.py214 print("Error message: {}".format(str(e)))
LOWtools/asr/funasr_asr.py18 except Exception:
LOWtools/asr/funasr_asr.py87 except Exception:
MEDIUMtools/asr/funasr_asr.py14def only_asr(input_file, language):
LOWtools/asr/fasterwhisper_asr.py47 except Exception:
LOWtools/asr/fasterwhisper_asr.py137 except Exception as e:
LOWtools/i18n/scan_i18n.py48 except Exception as e:
LOWGPT_SoVITS/s1_train.py144 except Exception:
LOWGPT_SoVITS/inference_webui.py165 except Exception as e:
LOWGPT_SoVITS/module/data_utils.py83 except Exception:
LOWGPT_SoVITS/module/data_utils.py337 except Exception:
LOWGPT_SoVITS/module/data_utils.py575 except Exception:
LOWGPT_SoVITS/module/data_utils.py786 except Exception:
LOWGPT_SoVITS/TTS_infer_pack/TTS.py1516 except Exception as e:
MEDIUMGPT_SoVITS/TTS_infer_pack/TTS.py126def __getattr__(self, item):
LOWGPT_SoVITS/BigVGAN/meldataset.py362 except Exception as e:
LOWGPT_SoVITS/AR/utils/__init__.py34 except Exception:
MEDIUMGPT_SoVITS/AR/utils/__init__.py28def check_txt_file(file_path):
LOWGPT_SoVITS/AR/models/t2s_model_cudagraph.py584 except Exception as e:
LOWGPT_SoVITS/AR/data/dataset.py134 except Exception:
LOWGPT_SoVITS/text/japanese.py72except Exception:
LOWGPT_SoVITS/text/g2pw/onnx_api.py24except Exception:
LOWGPT_SoVITS/text/g2pw/dataset.py75 except Exception:
Over-Commented Block39 hits · 39 pts
SeverityFileLineSnippet
LOWapi_v2.py181def pack_ogg(io_buffer: BytesIO, data: np.ndarray, rate: int):
LOWapi_v2.py521 except Exception as e:
LOWapi.py681
LOWGPT_SoVITS/inference_webui.py1401 sample_steps,
LOWGPT_SoVITS/export_torch_script_v3v4.py681 estimator: ExportDiT = torch.jit.trace(
LOWGPT_SoVITS/export_torch_script_v3v4.py881 )
LOWGPT_SoVITS/export_torch_script_v3v4.py1161 # vq_model = torch.jit.optimize_for_inference(vq_model)
LOWGPT_SoVITS/export_torch_script.py941 # bert_model = AutoModelForMaskedLM.from_pretrained(bert_path,output_hidden_states=True,torchscript=True)
LOWGPT_SoVITS/s2_train_v3.py161 )
LOWGPT_SoVITS/s2_train_v3.py221 # torch.load(hps.train.pretrained_s2D, map_location="cpu")["weight"]
LOWGPT_SoVITS/s2_train_v3.py381 # "slice/mel_gen": utils.plot_spectrogram_to_numpy(y_hat_mel[0].data.cpu().numpy()),
LOWGPT_SoVITS/module/attentions_onnx.py101 # x = x * x_mask
LOWGPT_SoVITS/module/core_vq.py1# Copyright (c) Meta Platforms, Inc. and affiliates.
LOWGPT_SoVITS/TTS_infer_pack/TTS.py281 "v2Pro": 486,
LOWGPT_SoVITS/TTS_infer_pack/TTS.py941 # phones_batch = self.batch_sequences(phones_list, axis=0, pad_value=0, max_length=max_len)
LOWGPT_SoVITS/TTS_infer_pack/TTS.py1281 t4 = time.perf_counter()
LOWGPT_SoVITS/BigVGAN/alias_free_activation/cuda/compat.h21#ifndef TORCH_CHECK
LOWGPT_SoVITS/f5_tts/model/__init__.py1# from f5_tts.model.cfm import CFM
LOWGPT_SoVITS/AR/models/t2s_lightning_module.py81 )
LOWGPT_SoVITS/AR/models/t2s_lightning_module.py101 # f"val_top_{self.top_k}_acc",
LOWGPT_SoVITS/AR/models/t2s_model.py661 value=False,
LOWGPT_SoVITS/AR/models/t2s_model.py681
LOWGPT_SoVITS/AR/modules/scaling.py1# Copyright 2022 Xiaomi Corp. (authors: Daniel Povey)
LOWGPT_SoVITS/AR/modules/optim.py1# Copyright 2022 Xiaomi Corp. (authors: Daniel Povey)
LOWGPT_SoVITS/AR/data/dataset.py321 # print('batch["phoneme_ids_len"]:', batch["phoneme_ids_len"],
LOWGPT_SoVITS/text/tone_sandhi.py1# Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved.
LOWGPT_SoVITS/text/korean.py61# This is a list of Korean classifiers preceded by pure Korean numerals.
LOWGPT_SoVITS/text/g2pw/dataset.py1# Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
LOWGPT_SoVITS/text/g2pw/utils.py1# Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
LOWGPT_SoVITS/text/zh_normalization/num.py1# Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved.
LOWGPT_SoVITS/text/zh_normalization/constants.py1# Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved.
LOWGPT_SoVITS/text/zh_normalization/__init__.py1# Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved.
LOWGPT_SoVITS/text/zh_normalization/char_convert.py1# coding=utf-8
LOWGPT_SoVITS/text/zh_normalization/chronology.py1# Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved.
LOWGPT_SoVITS/text/zh_normalization/phonecode.py1# Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved.
LOWGPT_SoVITS/text/zh_normalization/text_normlization.py1# Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved.
LOWGPT_SoVITS/text/zh_normalization/quantifier.py1# Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved.
LOWGPT_SoVITS/feature_extractor/cnhubert.py41# def __init__(self):
LOWGPT_SoVITS/feature_extractor/cnhubert.py61# def __init__(self):
Unused Imports37 hits · 37 pts
SeverityFileLineSnippet
LOWapi.py542
LOWtools/audio_sr.py1
LOWtools/audio_sr.py1
LOWtools/audio_sr.py1
LOWtools/audio_sr.py1
LOWGPT_SoVITS/inference_webui.py637
LOWGPT_SoVITS/module/core_vq.py36
LOWGPT_SoVITS/TTS_infer_pack/__init__.py1
LOWGPT_SoVITS/TTS_infer_pack/__init__.py1
LOWGPT_SoVITS/TTS_infer_pack/TextPreprocessor.py13
LOWGPT_SoVITS/BigVGAN/inference_e2e.py4
LOWGPT_SoVITS/BigVGAN/inference_e2e.py4
LOWGPT_SoVITS/BigVGAN/inference_e2e.py4
LOWGPT_SoVITS/BigVGAN/inference_e2e.py4
LOWGPT_SoVITS/BigVGAN/inference.py4
LOWGPT_SoVITS/BigVGAN/inference.py4
LOWGPT_SoVITS/BigVGAN/inference.py4
LOWGPT_SoVITS/BigVGAN/inference.py4
LOW…SoVITS/BigVGAN/alias_free_activation/torch/__init__.py4
LOW…SoVITS/BigVGAN/alias_free_activation/torch/__init__.py5
LOW…SoVITS/BigVGAN/alias_free_activation/torch/__init__.py6
LOWGPT_SoVITS/f5_tts/model/__init__.py4
LOWGPT_SoVITS/f5_tts/model/modules.py10
LOWGPT_SoVITS/f5_tts/model/backbones/mmdit.py10
LOWGPT_SoVITS/f5_tts/model/backbones/unett.py10
LOWGPT_SoVITS/f5_tts/model/backbones/dit.py10
LOWGPT_SoVITS/AR/models/structs_cudagraph.py1
LOWGPT_SoVITS/AR/models/t2s_model_cudagraph.py7
LOWGPT_SoVITS/AR/models/t2s_model_cudagraph.py9
LOWGPT_SoVITS/AR/models/t2s_model_cudagraph.py12
LOWGPT_SoVITS/AR/models/t2s_model_cudagraph.py12
LOWGPT_SoVITS/AR/modules/patched_mha_with_cache_onnx.py1
LOWGPT_SoVITS/AR/modules/patched_mha_with_cache.py1
LOWGPT_SoVITS/text/en_normalization/expend.py3
LOWGPT_SoVITS/text/g2pw/__init__.py1
LOWGPT_SoVITS/text/LangSegmenter/__init__.py1
LOWGPT_SoVITS/text/zh_normalization/__init__.py14
Decorative Section Separators11 hits · 33 pts
SeverityFileLineSnippet
MEDIUMapi.py1155# --------------------------------
MEDIUMapi.py1157# --------------------------------
MEDIUMapi.py1295# --------------------------------
MEDIUMapi.py1297# --------------------------------
MEDIUMGPT_SoVITS/AR/models/t2s_model_cudagraph.py74# ─── KV Cache ────────────────────���───────────────────────────────────────────
MEDIUMGPT_SoVITS/AR/models/t2s_model_cudagraph.py117# ─── Attention (PyTorch native SDPA, no flash_attn) ─────────────────────────
MEDIUMGPT_SoVITS/AR/models/t2s_model_cudagraph.py185# ─── Feed Forward ────────────────────────────────────────────────────────────
MEDIUMGPT_SoVITS/AR/models/t2s_model_cudagraph.py201# ─── Transformer Block ──────────────────────────────────────────────────────
MEDIUMGPT_SoVITS/AR/models/t2s_model_cudagraph.py243# ─── Transformer Decoder ────────────────────────────────────────────────────
MEDIUMGPT_SoVITS/AR/models/t2s_model_cudagraph.py291# ─── T2S Decoder ─────────────────────────────────────────────────────────────
MEDIUMGPT_SoVITS/AR/models/t2s_model_cudagraph.py433# ─── CUDA Graph Runner ───────────────────────────────────────────────────────
Cross-Language Confusion1 hit · 5 pts
SeverityFileLineSnippet
HIGHtools/assets.py7 const newUrl = `${window.location.pathname}?${params.toString()}`;
Docstring Block Structure1 hit · 5 pts
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HIGHGPT_SoVITS/text/japanese.py184Extract phoneme + prosoody symbol sequence from input full-context labels. The algorithm is based on `Prosodic feat
Self-Referential Comments1 hit · 3 pts
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MEDIUMtools/slicer2.py4# This function is obtained from librosa.
Redundant / Tautological Comments2 hits · 3 pts
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LOWGPT_SoVITS/BigVGAN/alias_free_activation/cuda/load.py18 # Check if cuda 11 is installed for compute capability 8.0
LOWGPT_SoVITS/BigVGAN/tests/test_cuda_vs_torch_model.py175 # Print results
Dead Code1 hit · 2 pts
SeverityFileLineSnippet
MEDIUM…ITS/BigVGAN/alias_free_activation/cuda/activation1d.py30
AI Slop Vocabulary1 hit · 2 pts
SeverityFileLineSnippet
LOWGPT_SoVITS/AR/modules/optim.py462 # For parameters with 1 element we just use regular Adam.
Slop Phrases2 hits · 1 pts
SeverityFileLineSnippet
LOWGPT_SoVITS/AR/modules/activation.py274 # When lifting this restriction, don't forget to either
LOWGPT_SoVITS/AR/modules/activation.py274 # When lifting this restriction, don't forget to either