[Help]: 如何使用自己的预训练模型

### 请勾选下方的确认框。 - [X] 我已仔细阅读[README.md](https://github.com/svc-develop-team/so-vits-svc/blob/4.0/README_zh_CN.md)和[wiki中的Quick solution](https://github.com/svc-develop-team/so-vits-svc/wiki/Quick-solution)。 - [X] 我已通过各种搜索引擎排查问题，我要提出的问题并不常见。 - [X] 我未在使用由第三方用户提供的一键包/环境包。 ### 系统平台版本号 Ubuntu 18.04 ### GPU 型号 V100 32G ### Python版本 3.9.13 ### PyTorch版本 1.12.1 ### sovits分支 4.0(默认) ### 数据集来源（用于判断数据集质量） 内部TTS数据 ### 出现问题的环节或执行的命令 python train.py -c configs/config.json -m 16k ### 问题描述 4.1-Stable版本 1. 使用103人的数据集训练一个基础模型 2. 将G_*.pth和D_*.pth重命名为G_0.pth和D_0.pth，并放到logs/16k目录下 3. 重新使用1个人的数据集进行finetune，错误信息如下。 ### 日志 ```python INFO:16k:{'train': {'log_interval': 200, 'eval_interval': 1000, 'seed': 1234, 'epochs': 10000, 'learning_rate': 0.0001, 'betas': [0.8, 0.99], 'eps': 1e-09, 'batch_size': 32, 'fp16_run': False, 'half_type': 'fp16', 'lr_decay': 0.999875, 'segment_size': 4480, 'init_lr_ratio': 1, 'warmup_epochs': 0, 'c_mel': 45, 'c_kl': 1.0, 'use_sr': False, 'max_speclen': 512, 'port': '8001', 'keep_ckpts': 3, 'all_in_mem': False, 'vol_aug': False}, 'data': {'training_files': 'filelists/train.txt', 'validation_files': 'filelists/val.txt', 'max_wav_value': 32768.0, 'sampling_rate': 16000, 'filter_length': 1024, 'hop_length': 320, 'win_length': 1024, 'n_mel_channels': 80, 'mel_fmin': 0.0, 'mel_fmax': 8000, 'unit_interpolate_mode': 'nearest'}, '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': [10, 8, 2, 2], 'upsample_initial_channel': 512, 'upsample_kernel_sizes': [20, 16, 4, 4], 'n_layers_q': 3, 'n_flow_layer': 4, 'use_spectral_norm': False, 'gin_channels': 768, 'ssl_dim': 768, 'n_speakers': 1, 'vocoder_name': 'nsf-hifigan', 'speech_encoder': 'vec768l12', 'speaker_embedding': False, 'vol_embedding': False, 'use_depthwise_conv': False, 'flow_share_parameter': False, 'use_automatic_f0_prediction': True}, 'spk': {'nxns': 0}, 'model_dir': './logs/16k'} libibverbs: Warning: couldn't open config directory '/etc/libibverbs.d'. libibverbs: Warning: couldn't open config directory '/etc/libibverbs.d'. ./logs/16k/G_0.pth ./logs/16k/G_0.pth error, emb_g.weight is not in the checkpoint INFO:16k:emb_g.weight is not in the checkpoint error, emb_g.weight is not in the checkpoint load INFO:16k:Loaded checkpoint './logs/16k/G_0.pth' (iteration 220) ./logs/16k/D_0.pth load ./logs/16k/D_0.pth load INFO:16k:Loaded checkpoint './logs/16k/D_0.pth' (iteration 220) load ./logs/16k/D_0.pth ./logs/16k/D_0.pth /home/notebook/code/personal/so-vits-svc/.venv/lib/python3.9/site-packages/torch/autograd/__init__.py:173: 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() = [64, 1, 4], strides() = [4, 1, 1] bucket_view.sizes() = [64, 1, 4], strides() = [4, 4, 1] (Triggered internally at ../torch/csrc/distributed/c10d/reducer.cpp:326.) Variable._execution_engine.run_backward( # Calls into the C++ engine to run the backward pass /home/notebook/code/personal/so-vits-svc/.venv/lib/python3.9/site-packages/torch/autograd/__init__.py:173: 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() = [64, 1, 4], strides() = [4, 1, 1] bucket_view.sizes() = [64, 1, 4], strides() = [4, 4, 1] (Triggered internally at ../torch/csrc/distributed/c10d/reducer.cpp:326.) Variable._execution_engine.run_backward( # Calls into the C++ engine to run the backward pass Traceback (most recent call last): File "/home/notebook/code/personal/so-vits-svc/train.py", line 329, in <module> main() File "/home/notebook/code/personal/so-vits-svc/train.py", line 44, in main mp.spawn(run, nprocs=n_gpus, args=(n_gpus, hps,)) File "/home/notebook/code/personal/so-vits-svc/.venv/lib/python3.9/site-packages/torch/multiprocessing/spawn.py", line 240, in spawn return start_processes(fn, args, nprocs, join, daemon, start_method='spawn') File "/home/notebook/code/personal/so-vits-svc/.venv/lib/python3.9/site-packages/torch/multiprocessing/spawn.py", line 198, in start_processes while not context.join(): File "/home/notebook/code/personal/so-vits-svc/.venv/lib/python3.9/site-packages/torch/multiprocessing/spawn.py", line 160, in join raise ProcessRaisedException(msg, error_index, failed_process.pid) torch.multiprocessing.spawn.ProcessRaisedException: -- Process 1 terminated with the following error: Traceback (most recent call last): File "/home/notebook/code/personal/so-vits-svc/.venv/lib/python3.9/site-packages/torch/multiprocessing/spawn.py", line 69, in _wrap fn(i, *args) File "/home/notebook/code/personal/so-vits-svc/train.py", line 128, in run train_and_evaluate(rank, epoch, hps, [net_g, net_d], [optim_g, optim_d], [scheduler_g, scheduler_d], scaler, File "/home/notebook/code/personal/so-vits-svc/train.py", line 212, in train_and_evaluate scaler.step(optim_g) File "/home/notebook/code/personal/so-vits-svc/.venv/lib/python3.9/site-packages/torch/cuda/amp/grad_scaler.py", line 310, in step return optimizer.step(*args, **kwargs) File "/home/notebook/code/personal/so-vits-svc/.venv/lib/python3.9/site-packages/torch/optim/lr_scheduler.py", line 65, in wrapper return wrapped(*args, **kwargs) File "/home/notebook/code/personal/so-vits-svc/.venv/lib/python3.9/site-packages/torch/optim/optimizer.py", line 113, in wrapper return func(*args, **kwargs) File "/home/notebook/code/personal/so-vits-svc/.venv/lib/python3.9/site-packages/torch/autograd/grad_mode.py", line 27, in decorate_context return func(*args, **kwargs) File "/home/notebook/code/personal/so-vits-svc/.venv/lib/python3.9/site-packages/torch/optim/adamw.py", line 161, in step adamw(params_with_grad, File "/home/notebook/code/personal/so-vits-svc/.venv/lib/python3.9/site-packages/torch/optim/adamw.py", line 218, in adamw func(params, File "/home/notebook/code/personal/so-vits-svc/.venv/lib/python3.9/site-packages/torch/optim/adamw.py", line 311, in _single_tensor_adamw param.addcdiv_(exp_avg, denom, value=-step_size) RuntimeError: output with shape [1, 768] doesn't match the broadcast shape [103, 768] ``` ### 截图`so-vits-svc`、`logs/44k`文件夹并粘贴到此处  ### 补充说明 _No response_