RVC-Project/Retrieval-based-Voice-Conversion-WebUI
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[GH-ISSUE #756] IndexError: list index out of range #470

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opened 2026-10-20 09:59:38 +00:00 by bsakaguchi · 1 comment
bsakaguchi commented 2026-10-20 09:59:38 +00:00
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Originally created by @E-sion on GitHub (Jul 15, 2023).
Original GitHub issue: https://github.com/RVC-Project/Retrieval-based-Voice-Conversion-WebUI/issues/756

训练日志

流式输出内容被截断，只能显示最后 5000 行内容。
。。。。（省略几百条Suc）
/content/dataset/998810017,004.wav->Suc.
end preprocess

2023-07-15 05:20:43 | INFO | httpx | HTTP Request: POST http://127.0.0.1:7860/api/predict "HTTP/1.1 200 OK"
2023-07-15 05:20:43 | INFO | httpx | HTTP Request: POST http://127.0.0.1:7860/api/predict "HTTP/1.1 200 OK"
['extract_f0_print.py', '/content/Retrieval-based-Voice-Conversion-WebUI/logs/紬', '2', 'harvest']
todo-f0-2735
f0ing,now-0,all-2735,-/content/Retrieval-based-Voice-Conversion-WebUI/logs/紬/1_16k_wavs/0_0.wav
/content/Retrieval-based-Voice-Conversion-WebUI/extract_f0_print.py:38: FutureWarning: Pass sr=16000 as keyword args. From version 0.10 passing these as positional arguments will result in an error
  x, sr = librosa.load(path, self.fs)  # , res_type='soxr_vhq'
todo-f0-2734
f0ing,now-0,all-2734,-/content/Retrieval-based-Voice-Conversion-WebUI/logs/紬/1_16k_wavs/0_2.wav
/content/Retrieval-based-Voice-Conversion-WebUI/extract_f0_print.py:38: FutureWarning: Pass sr=16000 as keyword args. From version 0.10 passing these as positional arguments will result in an error
  x, sr = librosa.load(path, self.fs)  # , res_type='soxr_vhq'
/content/Retrieval-based-Voice-Conversion-WebUI/extract_f0_print.py:89: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
  f0_coarse = np.rint(f0_mel).astype(np.int)
/content/Retrieval-based-Voice-Conversion-WebUI/extract_f0_print.py:38: FutureWarning: Pass sr=16000 as keyword args. From version 0.10 passing these as positional arguments will result in an error
  x, sr = librosa.load(path, self.fs)  # , res_type='soxr_vhq'
/content/Retrieval-based-Voice-Conversion-WebUI/extract_f0_print.py:89: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
  f0_coarse = np.rint(f0_mel).astype(np.int)
/content/Retrieval-based-Voice-Conversion-WebUI/extract_f0_print.py:38: FutureWarning: Pass sr=16000 as keyword args. From version 0.10 passing these as positional arguments will result in an error
  x, sr = librosa.load(path, self.fs)  # , res_type='soxr_vhq'
f0ing,now-547,all-2735,-/content/Retrieval-based-Voice-Conversion-WebUI/logs/紬/1_16k_wavs/1641_0.wav
f0ing,now-546,all-2734,-/content/Retrieval-based-Voice-Conversion-WebUI/logs/紬/1_16k_wavs/1640_2.wav
f0ing,now-1094,all-2735,-/content/Retrieval-based-Voice-Conversion-WebUI/logs/紬/1_16k_wavs/2250_4.wav
f0ing,now-1092,all-2734,-/content/Retrieval-based-Voice-Conversion-WebUI/logs/紬/1_16k_wavs/2250_1.wav
f0ing,now-1641,all-2735,-/content/Retrieval-based-Voice-Conversion-WebUI/logs/紬/1_16k_wavs/2864_1.wav
f0ing,now-1638,all-2734,-/content/Retrieval-based-Voice-Conversion-WebUI/logs/紬/1_16k_wavs/2861_1.wav
f0ing,now-2188,all-2735,-/content/Retrieval-based-Voice-Conversion-WebUI/logs/紬/1_16k_wavs/3499_1.wav
f0ing,now-2184,all-2734,-/content/Retrieval-based-Voice-Conversion-WebUI/logs/紬/1_16k_wavs/3492_1.wav
f0ing,now-2730,all-2734,-/content/Retrieval-based-Voice-Conversion-WebUI/logs/紬/1_16k_wavs/997_1.wav
['extract_f0_print.py', '/content/Retrieval-based-Voice-Conversion-WebUI/logs/紬', '2', 'harvest']
todo-f0-2735
f0ing,now-0,all-2735,-/content/Retrieval-based-Voice-Conversion-WebUI/logs/紬/1_16k_wavs/0_0.wav
todo-f0-2734
f0ing,now-0,all-2734,-/content/Retrieval-based-Voice-Conversion-WebUI/logs/紬/1_16k_wavs/0_2.wav
f0ing,now-547,all-2735,-/content/Retrieval-based-Voice-Conversion-WebUI/logs/紬/1_16k_wavs/1641_0.wav
f0ing,now-546,all-2734,-/content/Retrieval-based-Voice-Conversion-WebUI/logs/紬/1_16k_wavs/1640_2.wav
f0ing,now-1094,all-2735,-/content/Retrieval-based-Voice-Conversion-WebUI/logs/紬/1_16k_wavs/2250_4.wav
f0ing,now-1092,all-2734,-/content/Retrieval-based-Voice-Conversion-WebUI/logs/紬/1_16k_wavs/2250_1.wav
f0ing,now-1641,all-2735,-/content/Retrieval-based-Voice-Conversion-WebUI/logs/紬/1_16k_wavs/2864_1.wav
f0ing,now-1638,all-2734,-/content/Retrieval-based-Voice-Conversion-WebUI/logs/紬/1_16k_wavs/2861_1.wav
f0ing,now-2730,all-2734,-/content/Retrieval-based-Voice-Conversion-WebUI/logs/紬/1_16k_wavs/997_1.wav

2023-07-15 06:37:20 | INFO | httpx | HTTP Request: POST http://127.0.0.1:7860/api/predict "HTTP/1.1 200 OK"
2023-07-15 06:37:20 | INFO | httpx | HTTP Request: POST http://127.0.0.1:7860/api/predict "HTTP/1.1 200 OK"
2023-07-15 06:37:23.568598: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT
2023-07-15 06:37:25 | INFO | fairseq.tasks.text_to_speech | Please install tensorboardX: pip install tensorboardX
['extract_feature_print.py', 'cuda:0', '1', '0', '0', '/content/Retrieval-based-Voice-Conversion-WebUI/logs/紬']
/content/Retrieval-based-Voice-Conversion-WebUI/logs/紬
load model(s) from hubert_base.pt
2023-07-15 06:37:26 | INFO | fairseq.tasks.hubert_pretraining | current directory is /content/Retrieval-based-Voice-Conversion-WebUI
2023-07-15 06:37:26 | INFO | fairseq.tasks.hubert_pretraining | HubertPretrainingTask Config {'_name': 'hubert_pretraining', 'data': 'metadata', 'fine_tuning': False, 'labels': ['km'], 'label_dir': 'label', 'label_rate': 50.0, 'sample_rate': 16000, 'normalize': False, 'enable_padding': False, 'max_keep_size': None, 'max_sample_size': 250000, 'min_sample_size': 32000, 'single_target': False, 'random_crop': True, 'pad_audio': False}
2023-07-15 06:37:26 | INFO | fairseq.models.hubert.hubert | HubertModel Config: {'_name': 'hubert', 'label_rate': 50.0, 'extractor_mode': default, 'encoder_layers': 12, 'encoder_embed_dim': 768, 'encoder_ffn_embed_dim': 3072, 'encoder_attention_heads': 12, 'activation_fn': gelu, 'layer_type': transformer, 'dropout': 0.1, 'attention_dropout': 0.1, 'activation_dropout': 0.0, 'encoder_layerdrop': 0.05, 'dropout_input': 0.1, 'dropout_features': 0.1, 'final_dim': 256, 'untie_final_proj': True, 'layer_norm_first': False, 'conv_feature_layers': '[(512,10,5)] + [(512,3,2)] * 4 + [(512,2,2)] * 2', 'conv_bias': False, 'logit_temp': 0.1, 'target_glu': False, 'feature_grad_mult': 0.1, 'mask_length': 10, 'mask_prob': 0.8, 'mask_selection': static, 'mask_other': 0.0, 'no_mask_overlap': False, 'mask_min_space': 1, 'mask_channel_length': 10, 'mask_channel_prob': 0.0, 'mask_channel_selection': static, 'mask_channel_other': 0.0, 'no_mask_channel_overlap': False, 'mask_channel_min_space': 1, 'conv_pos': 128, 'conv_pos_groups': 16, 'latent_temp': [2.0, 0.5, 0.999995], 'skip_masked': False, 'skip_nomask': False, 'checkpoint_activations': False, 'required_seq_len_multiple': 2, 'depthwise_conv_kernel_size': 31, 'attn_type': '', 'pos_enc_type': 'abs', 'fp16': False}
move model to cuda
all-feature-5469
now-5469,all-0,0_0.wav,(184, 256)
now-5469,all-546,1312_1.wav,(55, 256)
now-5469,all-1092,1640_1.wav,(50, 256)
now-5469,all-1638,1933_1.wav,(67, 256)
now-5469,all-2184,224_1.wav,(175, 256)
now-5469,all-2730,2521_2.wav,(63, 256)
now-5469,all-3276,2860_1.wav,(132, 256)
now-5469,all-3822,3199_2.wav,(98, 256)
now-5469,all-4368,3491_1.wav,(126, 256)
now-5469,all-4914,647_2.wav,(63, 256)
now-5469,all-5460,996_1.wav,(160, 256)
all-feature-done
['extract_f0_print.py', '/content/Retrieval-based-Voice-Conversion-WebUI/logs/紬', '2', 'harvest']
todo-f0-2735
f0ing,now-0,all-2735,-/content/Retrieval-based-Voice-Conversion-WebUI/logs/紬/1_16k_wavs/0_0.wav
todo-f0-2734
f0ing,now-0,all-2734,-/content/Retrieval-based-Voice-Conversion-WebUI/logs/紬/1_16k_wavs/0_2.wav
f0ing,now-547,all-2735,-/content/Retrieval-based-Voice-Conversion-WebUI/logs/紬/1_16k_wavs/1641_0.wav
f0ing,now-546,all-2734,-/content/Retrieval-based-Voice-Conversion-WebUI/logs/紬/1_16k_wavs/1640_2.wav
f0ing,now-1094,all-2735,-/content/Retrieval-based-Voice-Conversion-WebUI/logs/紬/1_16k_wavs/2250_4.wav
f0ing,now-1092,all-2734,-/content/Retrieval-based-Voice-Conversion-WebUI/logs/紬/1_16k_wavs/2250_1.wav
f0ing,now-1641,all-2735,-/content/Retrieval-based-Voice-Conversion-WebUI/logs/紬/1_16k_wavs/2864_1.wav
f0ing,now-1638,all-2734,-/content/Retrieval-based-Voice-Conversion-WebUI/logs/紬/1_16k_wavs/2861_1.wav
f0ing,now-2730,all-2734,-/content/Retrieval-based-Voice-Conversion-WebUI/logs/紬/1_16k_wavs/997_1.wav
['extract_feature_print.py', 'cuda:0', '1', '0', '0', '/content/Retrieval-based-Voice-Conversion-WebUI/logs/紬']
/content/Retrieval-based-Voice-Conversion-WebUI/logs/紬
load model(s) from hubert_base.pt
move model to cuda
all-feature-5469
now-5469,all-0,0_0.wav,(184, 256)
now-5469,all-546,1312_1.wav,(55, 256)
now-5469,all-1092,1640_1.wav,(50, 256)
now-5469,all-1638,1933_1.wav,(67, 256)
now-5469,all-2184,224_1.wav,(175, 256)
now-5469,all-2730,2521_2.wav,(63, 256)
now-5469,all-3276,2860_1.wav,(132, 256)
now-5469,all-3822,3199_2.wav,(98, 256)
now-5469,all-4368,3491_1.wav,(126, 256)
now-5469,all-4914,647_2.wav,(63, 256)
now-5469,all-5460,996_1.wav,(160, 256)
all-feature-done

2023-07-15 06:39:20 | INFO | httpx | HTTP Request: POST http://127.0.0.1:7860/api/predict "HTTP/1.1 200 OK"
2023-07-15 06:39:20 | INFO | httpx | HTTP Request: POST http://127.0.0.1:7860/api/predict "HTTP/1.1 200 OK"
2023-07-15 06:39:20 | INFO | httpx | HTTP Request: POST http://127.0.0.1:7860/api/predict "HTTP/1.1 200 OK"
DEBUG:tensorflow:Falling back to TensorFlow client; we recommended you install the Cloud TPU client directly with pip install cloud-tpu-client.
2023-07-15 06:39:25.715063: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT
DEBUG:h5py._conv:Creating converter from 7 to 5
DEBUG:h5py._conv:Creating converter from 5 to 7
DEBUG:h5py._conv:Creating converter from 7 to 5
DEBUG:h5py._conv:Creating converter from 5 to 7
DEBUG:jaxlib.mlir._mlir_libs:Initializing MLIR with module: _site_initialize_0
DEBUG:jaxlib.mlir._mlir_libs:Registering dialects from initializer <module 'jaxlib.mlir._mlir_libs._site_initialize_0' from '/usr/local/lib/python3.10/dist-packages/jaxlib/mlir/_mlir_libs/_site_initialize_0.so'>
DEBUG:jax._src.xla_bridge:No jax_plugins namespace packages available
DEBUG:jax._src.path:etils.epath found. Using etils.epath for file I/O.
INFO:numexpr.utils:NumExpr defaulting to 2 threads.
DEBUG:tensorflow:Falling back to TensorFlow client; we recommended you install the Cloud TPU client directly with pip install cloud-tpu-client.
2023-07-15 06:39:31.732074: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT
DEBUG:h5py._conv:Creating converter from 7 to 5
DEBUG:h5py._conv:Creating converter from 5 to 7
DEBUG:h5py._conv:Creating converter from 7 to 5
DEBUG:h5py._conv:Creating converter from 5 to 7
DEBUG:jaxlib.mlir._mlir_libs:Initializing MLIR with module: _site_initialize_0
DEBUG:jaxlib.mlir._mlir_libs:Registering dialects from initializer <module 'jaxlib.mlir._mlir_libs._site_initialize_0' from '/usr/local/lib/python3.10/dist-packages/jaxlib/mlir/_mlir_libs/_site_initialize_0.so'>
DEBUG:jax._src.xla_bridge:No jax_plugins namespace packages available
DEBUG:jax._src.path:etils.epath found. Using etils.epath for file I/O.
INFO:numexpr.utils:NumExpr defaulting to 2 threads.
INFO:紬:{'train': {'log_interval': 200, 'seed': 1234, 'epochs': 20000, 'learning_rate': 0.0001, 'betas': [0.8, 0.99], 'eps': 1e-09, 'batch_size': 12, 'fp16_run': True, 'lr_decay': 0.999875, 'segment_size': 12800, 'init_lr_ratio': 1, 'warmup_epochs': 0, 'c_mel': 45, 'c_kl': 1.0}, 'data': {'max_wav_value': 32768.0, 'sampling_rate': 40000, 'filter_length': 2048, 'hop_length': 400, 'win_length': 2048, 'n_mel_channels': 125, 'mel_fmin': 0.0, 'mel_fmax': None, 'training_files': './logs/紬/filelist.txt'}, 'model': {'inter_channels': 192, 'hidden_channels': 192, 'filter_channels': 768, 'n_heads': 2, 'n_layers': 6, 'kernel_size': 3, 'p_dropout': 0, 'resblock': '1', 'resblock_kernel_sizes': [3, 7, 11], 'resblock_dilation_sizes': [[1, 3, 5], [1, 3, 5], [1, 3, 5]], 'upsample_rates': [10, 10, 2, 2], 'upsample_initial_channel': 512, 'upsample_kernel_sizes': [16, 16, 4, 4], 'use_spectral_norm': False, 'gin_channels': 256, 'spk_embed_dim': 109}, 'model_dir': './logs/紬', 'experiment_dir': './logs/紬', 'save_every_epoch': 50, 'name': '紬', 'total_epoch': 501, 'pretrainG': 'pretrained/G40k.pth', 'pretrainD': 'pretrained/D40k.pth', 'gpus': '0', 'sample_rate': '40k', 'if_f0': 1, 'if_latest': 0, 'if_cache_data_in_gpu': 1}
WARNING:紬:/content/Retrieval-based-Voice-Conversion-WebUI/train is not a git repository, therefore hash value comparison will be ignored.
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.
/usr/local/lib/python3.10/dist-packages/torch/utils/data/dataloader.py:560: UserWarning: This DataLoader will create 4 worker processes in total. Our suggested max number of worker in current system is 2, which is smaller than what this DataLoader is going to create. Please be aware that excessive worker creation might get DataLoader running slow or even freeze, lower the worker number to avoid potential slowness/freeze if necessary.
  warnings.warn(_create_warning_msg(
gin_channels: 256 self.spk_embed_dim: 109
INFO:紬:loaded pretrained pretrained/G40k.pth pretrained/D40k.pth
Traceback (most recent call last):
  File "/content/Retrieval-based-Voice-Conversion-WebUI/train_nsf_sim_cache_sid_load_pretrain.py", line 534, in <module>
    main()
  File "/content/Retrieval-based-Voice-Conversion-WebUI/train_nsf_sim_cache_sid_load_pretrain.py", line 50, in main
    mp.spawn(
  File "/usr/local/lib/python3.10/dist-packages/torch/multiprocessing/spawn.py", line 239, in spawn
    return start_processes(fn, args, nprocs, join, daemon, start_method='spawn')
  File "/usr/local/lib/python3.10/dist-packages/torch/multiprocessing/spawn.py", line 197, in start_processes
    while not context.join():
  File "/usr/local/lib/python3.10/dist-packages/torch/multiprocessing/spawn.py", line 160, in join
    raise ProcessRaisedException(msg, error_index, failed_process.pid)
torch.multiprocessing.spawn.ProcessRaisedException: 

-- Process 0 terminated with the following error:
Traceback (most recent call last):
  File "/content/Retrieval-based-Voice-Conversion-WebUI/train_nsf_sim_cache_sid_load_pretrain.py", line 148, in run
    utils.latest_checkpoint_path(hps.model_dir, "D_*.pth"), net_d, optim_d
  File "/content/Retrieval-based-Voice-Conversion-WebUI/train/utils.py", line 206, in latest_checkpoint_path
    x = f_list[-1]
IndexError: list index out of range

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "/usr/local/lib/python3.10/dist-packages/torch/multiprocessing/spawn.py", line 69, in _wrap
    fn(i, *args)
  File "/content/Retrieval-based-Voice-Conversion-WebUI/train_nsf_sim_cache_sid_load_pretrain.py", line 166, in run
    net_g.module.load_state_dict(
  File "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py", line 2041, in load_state_dict
    raise RuntimeError('Error(s) in loading state_dict for {}:\n\t{}'.format(
RuntimeError: Error(s) in loading state_dict for SynthesizerTrnMs256NSFsid:
	Missing key(s) in state_dict: "enc_p.emb_pitch.weight", "dec.m_source.l_linear.weight", "dec.m_source.l_linear.bias", "dec.noise_convs.0.weight", "dec.noise_convs.0.bias", "dec.noise_convs.1.weight", "dec.noise_convs.1.bias", "dec.noise_convs.2.weight", "dec.noise_convs.2.bias", "dec.noise_convs.3.weight", "dec.noise_convs.3.bias". 

2023-07-15 06:39:38 | INFO | httpx | HTTP Request: POST http://127.0.0.1:7860/api/predict "HTTP/1.1 200 OK"
2023-07-15 06:39:43 | INFO | httpx | HTTP Request: POST http://127.0.0.1:7860/api/predict "HTTP/1.1 200 OK"
2023-07-15 06:39:43 | INFO | httpx | HTTP Request: POST http://127.0.0.1:7860/api/predict "HTTP/1.1 200 OK"
2023-07-15 06:50:01 | INFO | httpx | HTTP Request: POST http://127.0.0.1:7860/api/predict "HTTP/1.1 200 OK"
2023-07-15 06:51:05 | INFO | httpx | HTTP Request: POST http://127.0.0.1:7860/api/predict "HTTP/1.1 200 OK"
2023-07-15 06:51:05 | INFO | httpx | HTTP Request: POST http://127.0.0.1:7860/api/predict "HTTP/1.1 200 OK"
2023-07-15 06:51:05 | INFO | httpx | HTTP Request: POST http://127.0.0.1:7860/api/predict "HTTP/1.1 200 OK"
2023-07-15 06:51:06 | INFO | httpx | HTTP Request: POST http://127.0.0.1:7860/reset "HTTP/1.1 200 OK"
Traceback (most recent call last):
  File "/usr/local/lib/python3.10/dist-packages/gradio/routes.py", line 321, in run_predict
    output = await app.blocks.process_api(
  File "/usr/local/lib/python3.10/dist-packages/gradio/blocks.py", line 1006, in process_api
    result = await self.call_function(fn_index, inputs, iterator, request)
  File "/usr/local/lib/python3.10/dist-packages/gradio/blocks.py", line 847, in call_function
    prediction = await anyio.to_thread.run_sync(
  File "/usr/local/lib/python3.10/dist-packages/anyio/to_thread.py", line 33, in run_sync
    return await get_asynclib().run_sync_in_worker_thread(
  File "/usr/local/lib/python3.10/dist-packages/anyio/_backends/_asyncio.py", line 877, in run_sync_in_worker_thread
    return await future
  File "/usr/local/lib/python3.10/dist-packages/anyio/_backends/_asyncio.py", line 807, in run
    result = context.run(func, *args)
  File "/content/Retrieval-based-Voice-Conversion-WebUI/infer-web.py", line 957, in export_onnx
    cpt["config"][-3] = cpt["weight"]["emb_g.weight"].shape[0]  # n_spk
KeyError: 'weight'
2023-07-15 07:15:47 | INFO | httpx | HTTP Request: POST http://127.0.0.1:7860/api/predict "HTTP/1.1 500 Internal Server Error"
2023-07-15 07:15:48 | INFO | httpx | HTTP Request: POST http://127.0.0.1:7860/reset "HTTP/1.1 200 OK"
Traceback (most recent call last):
  File "/usr/local/lib/python3.10/dist-packages/gradio/routes.py", line 321, in run_predict
    output = await app.blocks.process_api(
  File "/usr/local/lib/python3.10/dist-packages/gradio/blocks.py", line 1006, in process_api
    result = await self.call_function(fn_index, inputs, iterator, request)
  File "/usr/local/lib/python3.10/dist-packages/gradio/blocks.py", line 847, in call_function
    prediction = await anyio.to_thread.run_sync(
  File "/usr/local/lib/python3.10/dist-packages/anyio/to_thread.py", line 33, in run_sync
    return await get_asynclib().run_sync_in_worker_thread(
  File "/usr/local/lib/python3.10/dist-packages/anyio/_backends/_asyncio.py", line 877, in run_sync_in_worker_thread
    return await future
  File "/usr/local/lib/python3.10/dist-packages/anyio/_backends/_asyncio.py", line 807, in run
    result = context.run(func, *args)
  File "/content/Retrieval-based-Voice-Conversion-WebUI/infer-web.py", line 957, in export_onnx
    cpt["config"][-3] = cpt["weight"]["emb_g.weight"].shape[0]  # n_spk
KeyError: 'weight'
2023-07-15 07:16:17 | INFO | httpx | HTTP Request: POST http://127.0.0.1:7860/api/predict "HTTP/1.1 500 Internal Server Error"
2023-07-15 07:16:18 | INFO | httpx | HTTP Request: POST http://127.0.0.1:7860/reset "HTTP/1.1 200 OK"
Traceback (most recent call last):
  File "/usr/local/lib/python3.10/dist-packages/gradio/routes.py", line 321, in run_predict
    output = await app.blocks.process_api(
  File "/usr/local/lib/python3.10/dist-packages/gradio/blocks.py", line 1006, in process_api
    result = await self.call_function(fn_index, inputs, iterator, request)
  File "/usr/local/lib/python3.10/dist-packages/gradio/blocks.py", line 847, in call_function
    prediction = await anyio.to_thread.run_sync(
  File "/usr/local/lib/python3.10/dist-packages/anyio/to_thread.py", line 33, in run_sync
    return await get_asynclib().run_sync_in_worker_thread(
  File "/usr/local/lib/python3.10/dist-packages/anyio/_backends/_asyncio.py", line 877, in run_sync_in_worker_thread
    return await future
  File "/usr/local/lib/python3.10/dist-packages/anyio/_backends/_asyncio.py", line 807, in run
    result = context.run(func, *args)
  File "/content/Retrieval-based-Voice-Conversion-WebUI/infer-web.py", line 957, in export_onnx
    cpt["config"][-3] = cpt["weight"]["emb_g.weight"].shape[0]  # n_spk
KeyError: 'weight'
2023-07-15 07:16:33 | INFO | httpx | HTTP Request: POST http://127.0.0.1:7860/api/predict "HTTP/1.1 500 Internal Server Error"
2023-07-15 07:16:34 | INFO | httpx | HTTP Request: POST http://127.0.0.1:7860/reset "HTTP/1.1 200 OK"

介绍

带音高的模型，点的一键训练。
训练窗口日志：

step 1: processing data
python3 trainset_preprocess_pipeline_print.py /content/dataset 40000 2 /content/Retrieval-based-Voice-Conversion-WebUI/logs/紬 False
step2a:正在提取音高
python3 extract_f0_print.py /content/Retrieval-based-Voice-Conversion-WebUI/logs/紬 2 harvest
step 2b: extracting features
python3 extract_feature_print.py cuda:0 1 0 0 /content/Retrieval-based-Voice-Conversion-WebUI/logs/紬
step 3a: training the model
write filelist done
python3 train_nsf_sim_cache_sid_load_pretrain.py -e 紬 -sr 40k -f0 1 -bs 12 -g 0 -te 501 -se 50 -pg pretrained/G40k.pth -pd pretrained/D40k.pth -l 0 -c 1
Training completed, you can view the training logs in the console or the train.log within the experiement folder
(498352, 256),11295
training index
adding index
成功构建索引, added_IVF11295_Flat_nprobe_1.index
all processes have been completed!

在weights目录下没有看到模型文件

Originally created by @E-sion on GitHub (Jul 15, 2023). Original GitHub issue: https://github.com/RVC-Project/Retrieval-based-Voice-Conversion-WebUI/issues/756 # 训练日志 ``` 流式输出内容被截断，只能显示最后 5000 行内容。 。。。。（省略几百条Suc） /content/dataset/998810017,004.wav->Suc. end preprocess 2023-07-15 05:20:43 | INFO | httpx | HTTP Request: POST http://127.0.0.1:7860/api/predict "HTTP/1.1 200 OK" 2023-07-15 05:20:43 | INFO | httpx | HTTP Request: POST http://127.0.0.1:7860/api/predict "HTTP/1.1 200 OK" ['extract_f0_print.py', '/content/Retrieval-based-Voice-Conversion-WebUI/logs/紬', '2', 'harvest'] todo-f0-2735 f0ing,now-0,all-2735,-/content/Retrieval-based-Voice-Conversion-WebUI/logs/紬/1_16k_wavs/0_0.wav /content/Retrieval-based-Voice-Conversion-WebUI/extract_f0_print.py:38: FutureWarning: Pass sr=16000 as keyword args. From version 0.10 passing these as positional arguments will result in an error x, sr = librosa.load(path, self.fs) # , res_type='soxr_vhq' todo-f0-2734 f0ing,now-0,all-2734,-/content/Retrieval-based-Voice-Conversion-WebUI/logs/紬/1_16k_wavs/0_2.wav /content/Retrieval-based-Voice-Conversion-WebUI/extract_f0_print.py:38: FutureWarning: Pass sr=16000 as keyword args. From version 0.10 passing these as positional arguments will result in an error x, sr = librosa.load(path, self.fs) # , res_type='soxr_vhq' /content/Retrieval-based-Voice-Conversion-WebUI/extract_f0_print.py:89: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations f0_coarse = np.rint(f0_mel).astype(np.int) /content/Retrieval-based-Voice-Conversion-WebUI/extract_f0_print.py:38: FutureWarning: Pass sr=16000 as keyword args. From version 0.10 passing these as positional arguments will result in an error x, sr = librosa.load(path, self.fs) # , res_type='soxr_vhq' /content/Retrieval-based-Voice-Conversion-WebUI/extract_f0_print.py:89: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations f0_coarse = np.rint(f0_mel).astype(np.int) /content/Retrieval-based-Voice-Conversion-WebUI/extract_f0_print.py:38: FutureWarning: Pass sr=16000 as keyword args. From version 0.10 passing these as positional arguments will result in an error x, sr = librosa.load(path, self.fs) # , res_type='soxr_vhq' f0ing,now-547,all-2735,-/content/Retrieval-based-Voice-Conversion-WebUI/logs/紬/1_16k_wavs/1641_0.wav f0ing,now-546,all-2734,-/content/Retrieval-based-Voice-Conversion-WebUI/logs/紬/1_16k_wavs/1640_2.wav f0ing,now-1094,all-2735,-/content/Retrieval-based-Voice-Conversion-WebUI/logs/紬/1_16k_wavs/2250_4.wav f0ing,now-1092,all-2734,-/content/Retrieval-based-Voice-Conversion-WebUI/logs/紬/1_16k_wavs/2250_1.wav f0ing,now-1641,all-2735,-/content/Retrieval-based-Voice-Conversion-WebUI/logs/紬/1_16k_wavs/2864_1.wav f0ing,now-1638,all-2734,-/content/Retrieval-based-Voice-Conversion-WebUI/logs/紬/1_16k_wavs/2861_1.wav f0ing,now-2188,all-2735,-/content/Retrieval-based-Voice-Conversion-WebUI/logs/紬/1_16k_wavs/3499_1.wav f0ing,now-2184,all-2734,-/content/Retrieval-based-Voice-Conversion-WebUI/logs/紬/1_16k_wavs/3492_1.wav f0ing,now-2730,all-2734,-/content/Retrieval-based-Voice-Conversion-WebUI/logs/紬/1_16k_wavs/997_1.wav ['extract_f0_print.py', '/content/Retrieval-based-Voice-Conversion-WebUI/logs/紬', '2', 'harvest'] todo-f0-2735 f0ing,now-0,all-2735,-/content/Retrieval-based-Voice-Conversion-WebUI/logs/紬/1_16k_wavs/0_0.wav todo-f0-2734 f0ing,now-0,all-2734,-/content/Retrieval-based-Voice-Conversion-WebUI/logs/紬/1_16k_wavs/0_2.wav f0ing,now-547,all-2735,-/content/Retrieval-based-Voice-Conversion-WebUI/logs/紬/1_16k_wavs/1641_0.wav f0ing,now-546,all-2734,-/content/Retrieval-based-Voice-Conversion-WebUI/logs/紬/1_16k_wavs/1640_2.wav f0ing,now-1094,all-2735,-/content/Retrieval-based-Voice-Conversion-WebUI/logs/紬/1_16k_wavs/2250_4.wav f0ing,now-1092,all-2734,-/content/Retrieval-based-Voice-Conversion-WebUI/logs/紬/1_16k_wavs/2250_1.wav f0ing,now-1641,all-2735,-/content/Retrieval-based-Voice-Conversion-WebUI/logs/紬/1_16k_wavs/2864_1.wav f0ing,now-1638,all-2734,-/content/Retrieval-based-Voice-Conversion-WebUI/logs/紬/1_16k_wavs/2861_1.wav f0ing,now-2730,all-2734,-/content/Retrieval-based-Voice-Conversion-WebUI/logs/紬/1_16k_wavs/997_1.wav 2023-07-15 06:37:20 | INFO | httpx | HTTP Request: POST http://127.0.0.1:7860/api/predict "HTTP/1.1 200 OK" 2023-07-15 06:37:20 | INFO | httpx | HTTP Request: POST http://127.0.0.1:7860/api/predict "HTTP/1.1 200 OK" 2023-07-15 06:37:23.568598: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT 2023-07-15 06:37:25 | INFO | fairseq.tasks.text_to_speech | Please install tensorboardX: pip install tensorboardX ['extract_feature_print.py', 'cuda:0', '1', '0', '0', '/content/Retrieval-based-Voice-Conversion-WebUI/logs/紬'] /content/Retrieval-based-Voice-Conversion-WebUI/logs/紬 load model(s) from hubert_base.pt 2023-07-15 06:37:26 | INFO | fairseq.tasks.hubert_pretraining | current directory is /content/Retrieval-based-Voice-Conversion-WebUI 2023-07-15 06:37:26 | INFO | fairseq.tasks.hubert_pretraining | HubertPretrainingTask Config {'_name': 'hubert_pretraining', 'data': 'metadata', 'fine_tuning': False, 'labels': ['km'], 'label_dir': 'label', 'label_rate': 50.0, 'sample_rate': 16000, 'normalize': False, 'enable_padding': False, 'max_keep_size': None, 'max_sample_size': 250000, 'min_sample_size': 32000, 'single_target': False, 'random_crop': True, 'pad_audio': False} 2023-07-15 06:37:26 | INFO | fairseq.models.hubert.hubert | HubertModel Config: {'_name': 'hubert', 'label_rate': 50.0, 'extractor_mode': default, 'encoder_layers': 12, 'encoder_embed_dim': 768, 'encoder_ffn_embed_dim': 3072, 'encoder_attention_heads': 12, 'activation_fn': gelu, 'layer_type': transformer, 'dropout': 0.1, 'attention_dropout': 0.1, 'activation_dropout': 0.0, 'encoder_layerdrop': 0.05, 'dropout_input': 0.1, 'dropout_features': 0.1, 'final_dim': 256, 'untie_final_proj': True, 'layer_norm_first': False, 'conv_feature_layers': '[(512,10,5)] + [(512,3,2)] * 4 + [(512,2,2)] * 2', 'conv_bias': False, 'logit_temp': 0.1, 'target_glu': False, 'feature_grad_mult': 0.1, 'mask_length': 10, 'mask_prob': 0.8, 'mask_selection': static, 'mask_other': 0.0, 'no_mask_overlap': False, 'mask_min_space': 1, 'mask_channel_length': 10, 'mask_channel_prob': 0.0, 'mask_channel_selection': static, 'mask_channel_other': 0.0, 'no_mask_channel_overlap': False, 'mask_channel_min_space': 1, 'conv_pos': 128, 'conv_pos_groups': 16, 'latent_temp': [2.0, 0.5, 0.999995], 'skip_masked': False, 'skip_nomask': False, 'checkpoint_activations': False, 'required_seq_len_multiple': 2, 'depthwise_conv_kernel_size': 31, 'attn_type': '', 'pos_enc_type': 'abs', 'fp16': False} move model to cuda all-feature-5469 now-5469,all-0,0_0.wav,(184, 256) now-5469,all-546,1312_1.wav,(55, 256) now-5469,all-1092,1640_1.wav,(50, 256) now-5469,all-1638,1933_1.wav,(67, 256) now-5469,all-2184,224_1.wav,(175, 256) now-5469,all-2730,2521_2.wav,(63, 256) now-5469,all-3276,2860_1.wav,(132, 256) now-5469,all-3822,3199_2.wav,(98, 256) now-5469,all-4368,3491_1.wav,(126, 256) now-5469,all-4914,647_2.wav,(63, 256) now-5469,all-5460,996_1.wav,(160, 256) all-feature-done ['extract_f0_print.py', '/content/Retrieval-based-Voice-Conversion-WebUI/logs/紬', '2', 'harvest'] todo-f0-2735 f0ing,now-0,all-2735,-/content/Retrieval-based-Voice-Conversion-WebUI/logs/紬/1_16k_wavs/0_0.wav todo-f0-2734 f0ing,now-0,all-2734,-/content/Retrieval-based-Voice-Conversion-WebUI/logs/紬/1_16k_wavs/0_2.wav f0ing,now-547,all-2735,-/content/Retrieval-based-Voice-Conversion-WebUI/logs/紬/1_16k_wavs/1641_0.wav f0ing,now-546,all-2734,-/content/Retrieval-based-Voice-Conversion-WebUI/logs/紬/1_16k_wavs/1640_2.wav f0ing,now-1094,all-2735,-/content/Retrieval-based-Voice-Conversion-WebUI/logs/紬/1_16k_wavs/2250_4.wav f0ing,now-1092,all-2734,-/content/Retrieval-based-Voice-Conversion-WebUI/logs/紬/1_16k_wavs/2250_1.wav f0ing,now-1641,all-2735,-/content/Retrieval-based-Voice-Conversion-WebUI/logs/紬/1_16k_wavs/2864_1.wav f0ing,now-1638,all-2734,-/content/Retrieval-based-Voice-Conversion-WebUI/logs/紬/1_16k_wavs/2861_1.wav f0ing,now-2730,all-2734,-/content/Retrieval-based-Voice-Conversion-WebUI/logs/紬/1_16k_wavs/997_1.wav ['extract_feature_print.py', 'cuda:0', '1', '0', '0', '/content/Retrieval-based-Voice-Conversion-WebUI/logs/紬'] /content/Retrieval-based-Voice-Conversion-WebUI/logs/紬 load model(s) from hubert_base.pt move model to cuda all-feature-5469 now-5469,all-0,0_0.wav,(184, 256) now-5469,all-546,1312_1.wav,(55, 256) now-5469,all-1092,1640_1.wav,(50, 256) now-5469,all-1638,1933_1.wav,(67, 256) now-5469,all-2184,224_1.wav,(175, 256) now-5469,all-2730,2521_2.wav,(63, 256) now-5469,all-3276,2860_1.wav,(132, 256) now-5469,all-3822,3199_2.wav,(98, 256) now-5469,all-4368,3491_1.wav,(126, 256) now-5469,all-4914,647_2.wav,(63, 256) now-5469,all-5460,996_1.wav,(160, 256) all-feature-done 2023-07-15 06:39:20 | INFO | httpx | HTTP Request: POST http://127.0.0.1:7860/api/predict "HTTP/1.1 200 OK" 2023-07-15 06:39:20 | INFO | httpx | HTTP Request: POST http://127.0.0.1:7860/api/predict "HTTP/1.1 200 OK" 2023-07-15 06:39:20 | INFO | httpx | HTTP Request: POST http://127.0.0.1:7860/api/predict "HTTP/1.1 200 OK" DEBUG:tensorflow:Falling back to TensorFlow client; we recommended you install the Cloud TPU client directly with pip install cloud-tpu-client. 2023-07-15 06:39:25.715063: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT DEBUG:h5py._conv:Creating converter from 7 to 5 DEBUG:h5py._conv:Creating converter from 5 to 7 DEBUG:h5py._conv:Creating converter from 7 to 5 DEBUG:h5py._conv:Creating converter from 5 to 7 DEBUG:jaxlib.mlir._mlir_libs:Initializing MLIR with module: _site_initialize_0 DEBUG:jaxlib.mlir._mlir_libs:Registering dialects from initializer <module 'jaxlib.mlir._mlir_libs._site_initialize_0' from '/usr/local/lib/python3.10/dist-packages/jaxlib/mlir/_mlir_libs/_site_initialize_0.so'> DEBUG:jax._src.xla_bridge:No jax_plugins namespace packages available DEBUG:jax._src.path:etils.epath found. Using etils.epath for file I/O. INFO:numexpr.utils:NumExpr defaulting to 2 threads. DEBUG:tensorflow:Falling back to TensorFlow client; we recommended you install the Cloud TPU client directly with pip install cloud-tpu-client. 2023-07-15 06:39:31.732074: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT DEBUG:h5py._conv:Creating converter from 7 to 5 DEBUG:h5py._conv:Creating converter from 5 to 7 DEBUG:h5py._conv:Creating converter from 7 to 5 DEBUG:h5py._conv:Creating converter from 5 to 7 DEBUG:jaxlib.mlir._mlir_libs:Initializing MLIR with module: _site_initialize_0 DEBUG:jaxlib.mlir._mlir_libs:Registering dialects from initializer <module 'jaxlib.mlir._mlir_libs._site_initialize_0' from '/usr/local/lib/python3.10/dist-packages/jaxlib/mlir/_mlir_libs/_site_initialize_0.so'> DEBUG:jax._src.xla_bridge:No jax_plugins namespace packages available DEBUG:jax._src.path:etils.epath found. Using etils.epath for file I/O. INFO:numexpr.utils:NumExpr defaulting to 2 threads. INFO:紬:{'train': {'log_interval': 200, 'seed': 1234, 'epochs': 20000, 'learning_rate': 0.0001, 'betas': [0.8, 0.99], 'eps': 1e-09, 'batch_size': 12, 'fp16_run': True, 'lr_decay': 0.999875, 'segment_size': 12800, 'init_lr_ratio': 1, 'warmup_epochs': 0, 'c_mel': 45, 'c_kl': 1.0}, 'data': {'max_wav_value': 32768.0, 'sampling_rate': 40000, 'filter_length': 2048, 'hop_length': 400, 'win_length': 2048, 'n_mel_channels': 125, 'mel_fmin': 0.0, 'mel_fmax': None, 'training_files': './logs/紬/filelist.txt'}, 'model': {'inter_channels': 192, 'hidden_channels': 192, 'filter_channels': 768, 'n_heads': 2, 'n_layers': 6, 'kernel_size': 3, 'p_dropout': 0, 'resblock': '1', 'resblock_kernel_sizes': [3, 7, 11], 'resblock_dilation_sizes': [[1, 3, 5], [1, 3, 5], [1, 3, 5]], 'upsample_rates': [10, 10, 2, 2], 'upsample_initial_channel': 512, 'upsample_kernel_sizes': [16, 16, 4, 4], 'use_spectral_norm': False, 'gin_channels': 256, 'spk_embed_dim': 109}, 'model_dir': './logs/紬', 'experiment_dir': './logs/紬', 'save_every_epoch': 50, 'name': '紬', 'total_epoch': 501, 'pretrainG': 'pretrained/G40k.pth', 'pretrainD': 'pretrained/D40k.pth', 'gpus': '0', 'sample_rate': '40k', 'if_f0': 1, 'if_latest': 0, 'if_cache_data_in_gpu': 1} WARNING:紬:/content/Retrieval-based-Voice-Conversion-WebUI/train is not a git repository, therefore hash value comparison will be ignored. 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. /usr/local/lib/python3.10/dist-packages/torch/utils/data/dataloader.py:560: UserWarning: This DataLoader will create 4 worker processes in total. Our suggested max number of worker in current system is 2, which is smaller than what this DataLoader is going to create. Please be aware that excessive worker creation might get DataLoader running slow or even freeze, lower the worker number to avoid potential slowness/freeze if necessary. warnings.warn(_create_warning_msg( gin_channels: 256 self.spk_embed_dim: 109 INFO:紬:loaded pretrained pretrained/G40k.pth pretrained/D40k.pth Traceback (most recent call last): File "/content/Retrieval-based-Voice-Conversion-WebUI/train_nsf_sim_cache_sid_load_pretrain.py", line 534, in <module> main() File "/content/Retrieval-based-Voice-Conversion-WebUI/train_nsf_sim_cache_sid_load_pretrain.py", line 50, in main mp.spawn( File "/usr/local/lib/python3.10/dist-packages/torch/multiprocessing/spawn.py", line 239, in spawn return start_processes(fn, args, nprocs, join, daemon, start_method='spawn') File "/usr/local/lib/python3.10/dist-packages/torch/multiprocessing/spawn.py", line 197, in start_processes while not context.join(): File "/usr/local/lib/python3.10/dist-packages/torch/multiprocessing/spawn.py", line 160, in join raise ProcessRaisedException(msg, error_index, failed_process.pid) torch.multiprocessing.spawn.ProcessRaisedException: -- Process 0 terminated with the following error: Traceback (most recent call last): File "/content/Retrieval-based-Voice-Conversion-WebUI/train_nsf_sim_cache_sid_load_pretrain.py", line 148, in run utils.latest_checkpoint_path(hps.model_dir, "D_*.pth"), net_d, optim_d File "/content/Retrieval-based-Voice-Conversion-WebUI/train/utils.py", line 206, in latest_checkpoint_path x = f_list[-1] IndexError: list index out of range During handling of the above exception, another exception occurred: Traceback (most recent call last): File "/usr/local/lib/python3.10/dist-packages/torch/multiprocessing/spawn.py", line 69, in _wrap fn(i, *args) File "/content/Retrieval-based-Voice-Conversion-WebUI/train_nsf_sim_cache_sid_load_pretrain.py", line 166, in run net_g.module.load_state_dict( File "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py", line 2041, in load_state_dict raise RuntimeError('Error(s) in loading state_dict for {}:\n\t{}'.format( RuntimeError: Error(s) in loading state_dict for SynthesizerTrnMs256NSFsid: Missing key(s) in state_dict: "enc_p.emb_pitch.weight", "dec.m_source.l_linear.weight", "dec.m_source.l_linear.bias", "dec.noise_convs.0.weight", "dec.noise_convs.0.bias", "dec.noise_convs.1.weight", "dec.noise_convs.1.bias", "dec.noise_convs.2.weight", "dec.noise_convs.2.bias", "dec.noise_convs.3.weight", "dec.noise_convs.3.bias". 2023-07-15 06:39:38 | INFO | httpx | HTTP Request: POST http://127.0.0.1:7860/api/predict "HTTP/1.1 200 OK" 2023-07-15 06:39:43 | INFO | httpx | HTTP Request: POST http://127.0.0.1:7860/api/predict "HTTP/1.1 200 OK" 2023-07-15 06:39:43 | INFO | httpx | HTTP Request: POST http://127.0.0.1:7860/api/predict "HTTP/1.1 200 OK" 2023-07-15 06:50:01 | INFO | httpx | HTTP Request: POST http://127.0.0.1:7860/api/predict "HTTP/1.1 200 OK" 2023-07-15 06:51:05 | INFO | httpx | HTTP Request: POST http://127.0.0.1:7860/api/predict "HTTP/1.1 200 OK" 2023-07-15 06:51:05 | INFO | httpx | HTTP Request: POST http://127.0.0.1:7860/api/predict "HTTP/1.1 200 OK" 2023-07-15 06:51:05 | INFO | httpx | HTTP Request: POST http://127.0.0.1:7860/api/predict "HTTP/1.1 200 OK" 2023-07-15 06:51:06 | INFO | httpx | HTTP Request: POST http://127.0.0.1:7860/reset "HTTP/1.1 200 OK" Traceback (most recent call last): File "/usr/local/lib/python3.10/dist-packages/gradio/routes.py", line 321, in run_predict output = await app.blocks.process_api( File "/usr/local/lib/python3.10/dist-packages/gradio/blocks.py", line 1006, in process_api result = await self.call_function(fn_index, inputs, iterator, request) File "/usr/local/lib/python3.10/dist-packages/gradio/blocks.py", line 847, in call_function prediction = await anyio.to_thread.run_sync( File "/usr/local/lib/python3.10/dist-packages/anyio/to_thread.py", line 33, in run_sync return await get_asynclib().run_sync_in_worker_thread( File "/usr/local/lib/python3.10/dist-packages/anyio/_backends/_asyncio.py", line 877, in run_sync_in_worker_thread return await future File "/usr/local/lib/python3.10/dist-packages/anyio/_backends/_asyncio.py", line 807, in run result = context.run(func, *args) File "/content/Retrieval-based-Voice-Conversion-WebUI/infer-web.py", line 957, in export_onnx cpt["config"][-3] = cpt["weight"]["emb_g.weight"].shape[0] # n_spk KeyError: 'weight' 2023-07-15 07:15:47 | INFO | httpx | HTTP Request: POST http://127.0.0.1:7860/api/predict "HTTP/1.1 500 Internal Server Error" 2023-07-15 07:15:48 | INFO | httpx | HTTP Request: POST http://127.0.0.1:7860/reset "HTTP/1.1 200 OK" Traceback (most recent call last): File "/usr/local/lib/python3.10/dist-packages/gradio/routes.py", line 321, in run_predict output = await app.blocks.process_api( File "/usr/local/lib/python3.10/dist-packages/gradio/blocks.py", line 1006, in process_api result = await self.call_function(fn_index, inputs, iterator, request) File "/usr/local/lib/python3.10/dist-packages/gradio/blocks.py", line 847, in call_function prediction = await anyio.to_thread.run_sync( File "/usr/local/lib/python3.10/dist-packages/anyio/to_thread.py", line 33, in run_sync return await get_asynclib().run_sync_in_worker_thread( File "/usr/local/lib/python3.10/dist-packages/anyio/_backends/_asyncio.py", line 877, in run_sync_in_worker_thread return await future File "/usr/local/lib/python3.10/dist-packages/anyio/_backends/_asyncio.py", line 807, in run result = context.run(func, *args) File "/content/Retrieval-based-Voice-Conversion-WebUI/infer-web.py", line 957, in export_onnx cpt["config"][-3] = cpt["weight"]["emb_g.weight"].shape[0] # n_spk KeyError: 'weight' 2023-07-15 07:16:17 | INFO | httpx | HTTP Request: POST http://127.0.0.1:7860/api/predict "HTTP/1.1 500 Internal Server Error" 2023-07-15 07:16:18 | INFO | httpx | HTTP Request: POST http://127.0.0.1:7860/reset "HTTP/1.1 200 OK" Traceback (most recent call last): File "/usr/local/lib/python3.10/dist-packages/gradio/routes.py", line 321, in run_predict output = await app.blocks.process_api( File "/usr/local/lib/python3.10/dist-packages/gradio/blocks.py", line 1006, in process_api result = await self.call_function(fn_index, inputs, iterator, request) File "/usr/local/lib/python3.10/dist-packages/gradio/blocks.py", line 847, in call_function prediction = await anyio.to_thread.run_sync( File "/usr/local/lib/python3.10/dist-packages/anyio/to_thread.py", line 33, in run_sync return await get_asynclib().run_sync_in_worker_thread( File "/usr/local/lib/python3.10/dist-packages/anyio/_backends/_asyncio.py", line 877, in run_sync_in_worker_thread return await future File "/usr/local/lib/python3.10/dist-packages/anyio/_backends/_asyncio.py", line 807, in run result = context.run(func, *args) File "/content/Retrieval-based-Voice-Conversion-WebUI/infer-web.py", line 957, in export_onnx cpt["config"][-3] = cpt["weight"]["emb_g.weight"].shape[0] # n_spk KeyError: 'weight' 2023-07-15 07:16:33 | INFO | httpx | HTTP Request: POST http://127.0.0.1:7860/api/predict "HTTP/1.1 500 Internal Server Error" 2023-07-15 07:16:34 | INFO | httpx | HTTP Request: POST http://127.0.0.1:7860/reset "HTTP/1.1 200 OK" ``` # 介绍 带音高的模型，点的一键训练。 训练窗口日志： ``` step 1: processing data python3 trainset_preprocess_pipeline_print.py /content/dataset 40000 2 /content/Retrieval-based-Voice-Conversion-WebUI/logs/紬 False step2a:正在提取音高 python3 extract_f0_print.py /content/Retrieval-based-Voice-Conversion-WebUI/logs/紬 2 harvest step 2b: extracting features python3 extract_feature_print.py cuda:0 1 0 0 /content/Retrieval-based-Voice-Conversion-WebUI/logs/紬 step 3a: training the model write filelist done python3 train_nsf_sim_cache_sid_load_pretrain.py -e 紬 -sr 40k -f0 1 -bs 12 -g 0 -te 501 -se 50 -pg pretrained/G40k.pth -pd pretrained/D40k.pth -l 0 -c 1 Training completed, you can view the training logs in the console or the train.log within the experiement folder (498352, 256),11295 training index adding index 成功构建索引, added_IVF11295_Flat_nprobe_1.index all processes have been completed! ``` ### 在weights目录下没有看到模型文件
bsakaguchi commented 2026-10-20 09:59:39 +00:00
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@E-sion commented on GitHub (Jul 15, 2023):

重开webui后点Train Model就跑起来了

<!-- gh-comment-id:1636699252 --> @E-sion commented on GitHub (Jul 15, 2023): 重开webui后点Train Model就跑起来了
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