UnboundLocalError: local variable 'x' referenced before assignment

在执行训练命令时报错了。命令：!python3.8 finetune_speaker_v2.py -m "./OUTPUT_MODEL" --max_epochs 1000 --drop_speaker_embed True

报错日志： INFO:OUTPUT_MODEL:{'train': {'log_interval': 10, 'eval_interval': 100, 'seed': 1234, 'epochs': 10000, 'learning_rate': 0.0002, 'betas': [0.8, 0.99], 'eps': 1e-09, 'batch_size': 16, 'fp16_run': True, 'lr_decay': 0.999875, 'segment_size': 8192, 'init_lr_ratio': 1, 'warmup_epochs': 0, 'c_mel': 45, 'c_kl': 1.0}, 'data': {'training_files': 'final_annotation_train.txt', 'validation_files': 'final_annotation_val.txt', 'text_cleaners': ['zh_ja_mixture_cleaners'], 'max_wav_value': 32768.0, 'sampling_rate': 22050, 'filter_length': 1024, 'hop_length': 256, 'win_length': 1024, 'n_mel_channels': 80, 'mel_fmin': 0.0, 'mel_fmax': None, 'add_blank': True, 'n_speakers': 4, 'cleaned_text': True}, 'model': {'inter_channels': 192, 'hidden_channels': 192, 'filter_channels': 768, 'n_heads': 2, 'n_layers': 6, 'kernel_size': 3, 'p_dropout': 0.1, 'resblock': '1', 'resblock_kernel_sizes': [3, 7, 11], 'resblock_dilation_sizes': [[1, 3, 5], [1, 3, 5], [1, 3, 5]], 'upsample_rates': [8, 8, 2, 2], 'upsample_initial_channel': 512, 'upsample_kernel_sizes': [16, 16, 4, 4], 'n_layers_q': 3, 'use_spectral_norm': False, 'gin_channels': 256}, 'speakers': {'yang_wav': 0, 'specialweek': 1, 'zhongli': 2, 'vctk': 3}, 'symbols': ['_', ',', '.', '!', '?', '-', '~', '…', 'A', 'E', 'I', 'N', 'O', 'Q', 'U', 'a', 'b', 'd', 'e', 'f', 'g', 'h', 'i', 'j', 'k', 'l', 'm', 'n', 'o', 'p', 'r', 's', 't', 'u', 'v', 'w', 'y', 'z', 'ʃ', 'ʧ', 'ʦ', 'ɯ', 'ɹ', 'ə', 'ɥ', '⁼', 'ʰ', '', '→', '↓', '↑', ' '], 'model_dir': '././OUTPUT_MODEL', 'max_epochs': 1000, 'drop_speaker_embed': True} INFO:torch.distributed.distributed_c10d:Added key: store_based_barrier_key:1 to store for rank: 0 INFO:torch.distributed.distributed_c10d:Rank 0: Completed store-based barrier for key:store_based_barrier_key:1 with 1 nodes. INFO:OUTPUT_MODEL:Loaded checkpoint './pretrained_models/G_0.pth' (iteration None) INFO:OUTPUT_MODEL:Loaded checkpoint './pretrained_models/D_0.pth' (iteration None) 0%| | 0/55 [00:00<?, ?it/s]/root/miniconda3/lib/python3.8/site-packages/torch/functional.py:641: UserWarning: stft with return_complex=False is deprecated. In a future pytorch release, stft will return complex tensors for all inputs, and return_complex=False will raise an error. Note: you can still call torch.view_as_real on the complex output to recover the old return format. (Triggered internally at ../aten/src/ATen/native/SpectralOps.cpp:862.) return _VF.stft(input, n_fft, hop_length, win_length, window, # type: ignore[attr-defined] /root/miniconda3/lib/python3.8/site-packages/torch/functional.py:641: UserWarning: stft with return_complex=False is deprecated. In a future pytorch release, stft will return complex tensors for all inputs, and return_complex=False will raise an error. Note: you can still call torch.view_as_real on the complex output to recover the old return format. (Triggered internally at ../aten/src/ATen/native/SpectralOps.cpp:862.) return _VF.stft(input, n_fft, hop_length, win_length, window, # type: ignore[attr-defined] /root/autodl-tmp/VITS-fast-fine-tuning/mel_processing.py:78: FutureWarning: Pass sr=22050, n_fft=1024, n_mels=80, fmin=0.0, fmax=None as keyword args. From version 0.10 passing these as positional arguments will result in an error mel = librosa_mel_fn(sampling_rate, n_fft, num_mels, fmin, fmax) /root/autodl-tmp/VITS-fast-fine-tuning/mel_processing.py:96: FutureWarning: Pass sr=22050, n_fft=1024, n_mels=80, fmin=0.0, fmax=None as keyword args. From version 0.10 passing these as positional arguments will result in an error mel = librosa_mel_fn(sampling_rate, n_fft, num_mels, fmin, fmax) /root/miniconda3/lib/python3.8/site-packages/torch/functional.py:641: UserWarning: stft with return_complex=False is deprecated. In a future pytorch release, stft will return complex tensors for all inputs, and return_complex=False will raise an error. Note: you can still call torch.view_as_real on the complex output to recover the old return format. (Triggered internally at ../aten/src/ATen/native/SpectralOps.cpp:862.) return _VF.stft(input, n_fft, hop_length, win_length, window, # type: ignore[attr-defined] INFO:torch.nn.parallel.distributed:Reducer buckets have been rebuilt in this iteration. /root/miniconda3/lib/python3.8/site-packages/torch/autograd/init.py:200: UserWarning: Grad strides do not match bucket view strides. This may indicate grad was not created according to the gradient layout contract, or that the param's strides changed since DDP was constructed. This is not an error, but may impair performance. grad.sizes() = [1, 9, 96], strides() = [48864, 96, 1] bucket_view.sizes() = [1, 9, 96], strides() = [864, 96, 1] (Triggered internally at ../torch/csrc/distributed/c10d/reducer.cpp:323.) Variable._execution_engine.run_backward( # Calls into the C++ engine to run the backward pass INFO:OUTPUT_MODEL:Train Epoch: 1 [0%] INFO:OUTPUT_MODEL:[2.6468281745910645, 1.9446611404418945, 10.339977264404297, 28.3305721282959, 1.8307909965515137, 11.652680397033691, 0, 0.0002] DEBUG:matplotlib:(private) matplotlib data path: /root/miniconda3/lib/python3.8/site-packages/matplotlib/mpl-data DEBUG:matplotlib:matplotlib data path: /root/miniconda3/lib/python3.8/site-packages/matplotlib/mpl-data DEBUG:matplotlib:CONFIGDIR=/root/.config/matplotlib DEBUG:matplotlib:matplotlib version 3.3.1 DEBUG:matplotlib:interactive is False DEBUG:matplotlib:platform is linux DEBUG:matplotlib:loaded modules: ['sys', 'builtins', '_frozen_importlib', '_imp', '_warnings', '_io', 'marshal', 'posix', '_frozen_importlib_external', '_thread', '_weakref', 'time', 'zipimport', '_codecs', 'codecs', 'encodings.aliases', 'encodings', 'encodings.utf_8', '_signal', 'main', 'encodings.latin_1', '_abc', 'abc', 'io', 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'pkg_resources.extern.packaging.requirements', 'pkg_resources', 'shlex', 'urllib3.packages', `

Plachtaa / VITS-fast-fine-tuning

UnboundLocalError: local variable 'x' referenced before assignment #272