Retrieval-based-Voice-Conversion-WebUI
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RVC-Project
Failed to train under macOS
As title, I was not able to do train process under macOS. Here's the errors:
INFO:HoshinoAi:{'train': {'log_interval': 200, 'seed': 1234, 'epochs': 20000, 'learning_rate': 0.0001, 'betas': [0.8, 0.99], 'eps': 1e-09, 'batch_size': 1, 'fp16_run': True, 'lr_decay': 0.999875, 'segment_size': 11520, 'init_lr_ratio': 1, 'warmup_epochs': 0, 'c_mel': 45, 'c_kl': 1.0}, 'data': {'max_wav_value': 32768.0, 'sampling_rate': 48000, 'filter_length': 2048, 'hop_length': 480, 'win_length': 2048, 'n_mel_channels': 128, 'mel_fmin': 0.0, 'mel_fmax': None, 'training_files': './logs/HoshinoAi/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, 6, 2, 2, 2], 'upsample_initial_channel': 512, 'upsample_kernel_sizes': [16, 16, 4, 4, 4], 'use_spectral_norm': False, 'gin_channels': 256, 'spk_embed_dim': 109}, 'model_dir': './logs/HoshinoAi', 'experiment_dir': './logs/HoshinoAi', 'save_every_epoch': 5, 'name': 'HoshinoAi', 'total_epoch': 20, 'pretrainG': 'pretrained/f0G48k.pth', 'pretrainD': 'pretrained/f0D48k.pth', 'version': 'v1', 'gpus': '0-1', 'sample_rate': '48k', 'if_f0': 1, 'if_latest': 0, 'save_every_weights': '0', 'if_cache_data_in_gpu': 0}
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 2 nodes.
INFO:torch.distributed.distributed_c10d:Added key: store_based_barrier_key:1 to store for rank: 1
INFO:torch.distributed.distributed_c10d:Rank 1: Completed store-based barrier for key:store_based_barrier_key:1 with 2 nodes.
gin_channels: 256 self.spk_embed_dim: 109
gin_channels: 256 self.spk_embed_dim: 109
INFO:HoshinoAi:loaded pretrained pretrained/f0G48k.pth pretrained/f0D48k.pth
<All keys matched successfully>
<All keys matched successfully>
<All keys matched successfully>
<All keys matched successfully>
/Library/Frameworks/Python.framework/Versions/3.10/lib/python3.10/site-packages/torch/cuda/amp/grad_scaler.py:120: UserWarning: torch.cuda.amp.GradScaler is enabled, but CUDA is not available. Disabling.
warnings.warn("torch.cuda.amp.GradScaler is enabled, but CUDA is not available. Disabling.")
/Library/Frameworks/Python.framework/Versions/3.10/lib/python3.10/site-packages/torch/cuda/amp/grad_scaler.py:120: UserWarning: torch.cuda.amp.GradScaler is enabled, but CUDA is not available. Disabling.
warnings.warn("torch.cuda.amp.GradScaler is enabled, but CUDA is not available. Disabling.")
/Library/Frameworks/Python.framework/Versions/3.10/lib/python3.10/site-packages/torch/amp/autocast_mode.py:204: UserWarning: User provided device_type of 'cuda', but CUDA is not available. Disabling
warnings.warn('User provided device_type of \'cuda\', but CUDA is not available. Disabling')
/Library/Frameworks/Python.framework/Versions/3.10/lib/python3.10/site-packages/torch/amp/autocast_mode.py:204: UserWarning: User provided device_type of 'cuda', but CUDA is not available. Disabling
warnings.warn('User provided device_type of \'cuda\', but CUDA is not available. Disabling')
/Library/Frameworks/Python.framework/Versions/3.10/lib/python3.10/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 /Users/runner/work/pytorch/pytorch/pytorch/aten/src/ATen/native/SpectralOps.cpp:867.)
return _VF.stft(input, n_fft, hop_length, win_length, window, # type: ignore[attr-defined]
Traceback (most recent call last):
File "/Users/naozumi/Downloads/RVC-beta/train_nsf_sim_cache_sid_load_pretrain.py", line 550, in <module>
main()
File "/Users/naozumi/Downloads/RVC-beta/train_nsf_sim_cache_sid_load_pretrain.py", line 58, in main
mp.spawn(
File "/Library/Frameworks/Python.framework/Versions/3.10/lib/python3.10/site-packages/torch/multiprocessing/spawn.py", line 239, in spawn
return start_processes(fn, args, nprocs, join, daemon, start_method='spawn')
File "/Library/Frameworks/Python.framework/Versions/3.10/lib/python3.10/site-packages/torch/multiprocessing/spawn.py", line 197, in start_processes
while not context.join():
File "/Library/Frameworks/Python.framework/Versions/3.10/lib/python3.10/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 "/Library/Frameworks/Python.framework/Versions/3.10/lib/python3.10/site-packages/torch/multiprocessing/spawn.py", line 69, in _wrap
fn(i, *args)
File "/Users/naozumi/Downloads/RVC-beta/train_nsf_sim_cache_sid_load_pretrain.py", line 210, in run
train_and_evaluate(
File "/Users/naozumi/Downloads/RVC-beta/train_nsf_sim_cache_sid_load_pretrain.py", line 364, in train_and_evaluate
) = net_g(phone, phone_lengths, pitch, pitchf, spec, spec_lengths, sid)
File "/Library/Frameworks/Python.framework/Versions/3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1501, in _call_impl
return forward_call(*args, **kwargs)
File "/Library/Frameworks/Python.framework/Versions/3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py", line 1156, in forward
output = self._run_ddp_forward(*inputs, **kwargs)
File "/Library/Frameworks/Python.framework/Versions/3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py", line 1113, in _run_ddp_forward
return module_to_run(*inputs, **kwargs)
File "/Library/Frameworks/Python.framework/Versions/3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1501, in _call_impl
return forward_call(*args, **kwargs)
File "/Users/naozumi/Downloads/RVC-beta/infer_pack/models.py", line 628, in forward
o = self.dec(z_slice, pitchf, g=g)
File "/Library/Frameworks/Python.framework/Versions/3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1501, in _call_impl
return forward_call(*args, **kwargs)
File "/Users/naozumi/Downloads/RVC-beta/infer_pack/models.py", line 492, in forward
har_source, noi_source, uv = self.m_source(f0, self.upp)
File "/Library/Frameworks/Python.framework/Versions/3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1501, in _call_impl
return forward_call(*args, **kwargs)
File "/Users/naozumi/Downloads/RVC-beta/infer_pack/models.py", line 415, in forward
sine_merge = self.l_tanh(self.l_linear(sine_wavs))
File "/Library/Frameworks/Python.framework/Versions/3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1501, in _call_impl
return forward_call(*args, **kwargs)
File "/Library/Frameworks/Python.framework/Versions/3.10/lib/python3.10/site-packages/torch/nn/modules/linear.py", line 114, in forward
return F.linear(input, self.weight, self.bias)
RuntimeError: mat1 and mat2 must have the same dtype
zsh: segmentation fault python3 infer-web.py
naozumi@Naozumis-MacBook-Pro RVC-beta % /Library/Frameworks/Python.framework/Versions/3.10/lib/python3.10/multiprocessing/resource_tracker.py:224: UserWarning: resource_tracker: There appear to be 1 leaked semaphore objects to clean up at shutdown
warnings.warn('resource_tracker: There appear to be %d '
