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What is the reason for this, please

Open yanghaoyu0712 opened this issue 1 year ago • 0 comments

C:\rvc\RVC1006Nvidia>runtime\python.exe infer-web.py --pycmd runtime\python.exe --port 7897 2024-08-20 14:22:23 | INFO | configs.config | Found GPU NVIDIA GeForce RTX 4050 Laptop GPU is_half:True, device:cuda:0 2024-08-20 14:22:27 | INFO | main | Use Language: zh_CN Running on local URL: http://0.0.0.0:7897 2024-08-20 14:23:17 | INFO | main | "runtime\python.exe" infer/modules/train/preprocess.py "D:\shuchuyuansheng" 40000 8 "C:\rvc\RVC1006Nvidia/logs/fx" False 3.0 ['infer/modules/train/preprocess.py', 'D:\shuchuyuansheng', '40000', '8', 'C:\rvc\RVC1006Nvidia/logs/fx', 'False', '3.0'] start preprocess ['infer/modules/train/preprocess.py', 'D:\shuchuyuansheng', '40000', '8', 'C:\rvc\RVC1006Nvidia/logs/fx', 'False', '3.0'] ['C:\rvc\RVC1006Nvidia\infer\modules\train\preprocess.py', 'D:\shuchuyuansheng', '40000', '8', 'C:\rvc\RVC1006Nvidia/logs/fx', 'False', '3.0'] ['C:\rvc\RVC1006Nvidia\infer\modules\train\preprocess.py', 'D:\shuchuyuansheng', '40000', '8', 'C:\rvc\RVC1006Nvidia/logs/fx', 'False', '3.0'] ['C:\rvc\RVC1006Nvidia\infer\modules\train\preprocess.py', 'D:\shuchuyuansheng', '40000', '8', 'C:\rvc\RVC1006Nvidia/logs/fx', 'False', '3.0'] ['C:\rvc\RVC1006Nvidia\infer\modules\train\preprocess.py', 'D:\shuchuyuansheng', '40000', '8', 'C:\rvc\RVC1006Nvidia/logs/fx', 'False', '3.0'] ['C:\rvc\RVC1006Nvidia\infer\modules\train\preprocess.py', 'D:\shuchuyuansheng', '40000', '8', 'C:\rvc\RVC1006Nvidia/logs/fx', 'False', '3.0'] ['C:\rvc\RVC1006Nvidia\infer\modules\train\preprocess.py', 'D:\shuchuyuansheng', '40000', '8', 'C:\rvc\RVC1006Nvidia/logs/fx', 'False', '3.0'] ['C:\rvc\RVC1006Nvidia\infer\modules\train\preprocess.py', 'D:\shuchuyuansheng', '40000', '8', 'C:\rvc\RVC1006Nvidia/logs/fx', 'False', '3.0'] ['C:\rvc\RVC1006Nvidia\infer\modules\train\preprocess.py', 'D:\shuchuyuansheng', '40000', '8', 'C:\rvc\RVC1006Nvidia/logs/fx', 'False', '3.0'] D:\shuchuyuansheng/1_lfjq7-njb28-001_(Vocals).wav->Suc. D:\shuchuyuansheng/fx.wav->Suc. D:\shuchuyuansheng/jiebudiaoni.wav->Suc. end preprocess 2024-08-20 14:23:30 | INFO | main | start preprocess ['infer/modules/train/preprocess.py', 'D:\shuchuyuansheng', '40000', '8', 'C:\rvc\RVC1006Nvidia/logs/fx', 'False', '3.0'] D:\shuchuyuansheng/1_lfjq7-njb28-001_(Vocals).wav->Suc. D:\shuchuyuansheng/fx.wav->Suc. D:\shuchuyuansheng/jiebudiaoni.wav->Suc. end preprocess

2024-08-20 14:26:07 | INFO | main | "runtime\python.exe" infer/modules/train/extract/extract_f0_rmvpe.py 2 0 0 "C:\rvc\RVC1006Nvidia/logs/fx" True 2024-08-20 14:26:07 | INFO | main | "runtime\python.exe" infer/modules/train/extract/extract_f0_rmvpe.py 2 1 0 "C:\rvc\RVC1006Nvidia/logs/fx" True ['infer/modules/train/extract/extract_f0_rmvpe.py', '2', '1', '0', 'C:\rvc\RVC1006Nvidia/logs/fx', 'True'] ['infer/modules/train/extract/extract_f0_rmvpe.py', '2', '0', '0', 'C:\rvc\RVC1006Nvidia/logs/fx', 'True'] todo-f0-18 todo-f0-18 f0ing,now-0,all-18,-C:\rvc\RVC1006Nvidia/logs/fx/1_16k_wavs/0_1.wav f0ing,now-0,all-18,-C:\rvc\RVC1006Nvidia/logs/fx/1_16k_wavs/0_0.wav Loading rmvpe model Loading rmvpe model f0ing,now-3,all-18,-C:\rvc\RVC1006Nvidia/logs/fx/1_16k_wavs/0_4.wav f0ing,now-3,all-18,-C:\rvc\RVC1006Nvidia/logs/fx/1_16k_wavs/0_5.wav f0ing,now-6,all-18,-C:\rvc\RVC1006Nvidia/logs/fx/1_16k_wavs/1_1.wav f0ing,now-6,all-18,-C:\rvc\RVC1006Nvidia/logs/fx/1_16k_wavs/1_11.wav f0ing,now-9,all-18,-C:\rvc\RVC1006Nvidia/logs/fx/1_16k_wavs/1_6.wav f0ing,now-12,all-18,-C:\rvc\RVC1006Nvidia/logs/fx/1_16k_wavs/2_12.wav f0ing,now-9,all-18,-C:\rvc\RVC1006Nvidia/logs/fx/1_16k_wavs/1_7.wav f0ing,now-15,all-18,-C:\rvc\RVC1006Nvidia/logs/fx/1_16k_wavs/2_4.wav f0ing,now-12,all-18,-C:\rvc\RVC1006Nvidia/logs/fx/1_16k_wavs/2_13.wav f0ing,now-15,all-18,-C:\rvc\RVC1006Nvidia/logs/fx/1_16k_wavs/2_5.wav 2024-08-20 14:26:24 | INFO | main | ['infer/modules/train/extract/extract_f0_rmvpe.py', '2', '0', '0', 'C:\rvc\RVC1006Nvidia/logs/fx', 'True'] todo-f0-18 todo-f0-18 f0ing,now-0,all-18,-C:\rvc\RVC1006Nvidia/logs/fx/1_16k_wavs/0_1.wav f0ing,now-0,all-18,-C:\rvc\RVC1006Nvidia/logs/fx/1_16k_wavs/0_0.wav f0ing,now-3,all-18,-C:\rvc\RVC1006Nvidia/logs/fx/1_16k_wavs/0_4.wav f0ing,now-3,all-18,-C:\rvc\RVC1006Nvidia/logs/fx/1_16k_wavs/0_5.wav f0ing,now-6,all-18,-C:\rvc\RVC1006Nvidia/logs/fx/1_16k_wavs/1_1.wav f0ing,now-6,all-18,-C:\rvc\RVC1006Nvidia/logs/fx/1_16k_wavs/1_11.wav f0ing,now-9,all-18,-C:\rvc\RVC1006Nvidia/logs/fx/1_16k_wavs/1_6.wav f0ing,now-12,all-18,-C:\rvc\RVC1006Nvidia/logs/fx/1_16k_wavs/2_12.wav f0ing,now-9,all-18,-C:\rvc\RVC1006Nvidia/logs/fx/1_16k_wavs/1_7.wav f0ing,now-15,all-18,-C:\rvc\RVC1006Nvidia/logs/fx/1_16k_wavs/2_4.wav f0ing,now-12,all-18,-C:\rvc\RVC1006Nvidia/logs/fx/1_16k_wavs/2_13.wav f0ing,now-15,all-18,-C:\rvc\RVC1006Nvidia/logs/fx/1_16k_wavs/2_5.wav

2024-08-20 14:26:24 | INFO | main | "runtime\python.exe" infer/modules/train/extract_feature_print.py cuda:0 1 0 0 "C:\rvc\RVC1006Nvidia/logs/fx" v2 ['infer/modules/train/extract_feature_print.py', 'cuda:0', '1', '0', '0', 'C:\rvc\RVC1006Nvidia/logs/fx', 'v2'] C:\rvc\RVC1006Nvidia/logs/fx load model(s) from assets/hubert/hubert_base.pt move model to cuda all-feature-36 now-36,all-0,0_0.wav,(149, 768) now-36,all-3,0_11.wav,(67, 768) now-36,all-6,0_4.wav,(149, 768) now-36,all-9,0_7.wav,(149, 768) now-36,all-12,1_1.wav,(149, 768) now-36,all-15,1_3.wav,(149, 768) now-36,all-18,1_6.wav,(149, 768) now-36,all-21,1_9.wav,(149, 768) now-36,all-24,2_12.wav,(149, 768) now-36,all-27,2_16.wav,(32, 768) now-36,all-30,2_4.wav,(149, 768) now-36,all-33,2_7.wav,(149, 768) all-feature-done 2024-08-20 14:26:30 | INFO | main | ['infer/modules/train/extract/extract_f0_rmvpe.py', '2', '0', '0', 'C:\rvc\RVC1006Nvidia/logs/fx', 'True'] todo-f0-18 todo-f0-18 f0ing,now-0,all-18,-C:\rvc\RVC1006Nvidia/logs/fx/1_16k_wavs/0_1.wav f0ing,now-0,all-18,-C:\rvc\RVC1006Nvidia/logs/fx/1_16k_wavs/0_0.wav f0ing,now-3,all-18,-C:\rvc\RVC1006Nvidia/logs/fx/1_16k_wavs/0_4.wav f0ing,now-3,all-18,-C:\rvc\RVC1006Nvidia/logs/fx/1_16k_wavs/0_5.wav f0ing,now-6,all-18,-C:\rvc\RVC1006Nvidia/logs/fx/1_16k_wavs/1_1.wav f0ing,now-6,all-18,-C:\rvc\RVC1006Nvidia/logs/fx/1_16k_wavs/1_11.wav f0ing,now-9,all-18,-C:\rvc\RVC1006Nvidia/logs/fx/1_16k_wavs/1_6.wav f0ing,now-12,all-18,-C:\rvc\RVC1006Nvidia/logs/fx/1_16k_wavs/2_12.wav f0ing,now-9,all-18,-C:\rvc\RVC1006Nvidia/logs/fx/1_16k_wavs/1_7.wav f0ing,now-15,all-18,-C:\rvc\RVC1006Nvidia/logs/fx/1_16k_wavs/2_4.wav f0ing,now-12,all-18,-C:\rvc\RVC1006Nvidia/logs/fx/1_16k_wavs/2_13.wav f0ing,now-15,all-18,-C:\rvc\RVC1006Nvidia/logs/fx/1_16k_wavs/2_5.wav ['infer/modules/train/extract_feature_print.py', 'cuda:0', '1', '0', '0', 'C:\rvc\RVC1006Nvidia/logs/fx', 'v2'] C:\rvc\RVC1006Nvidia/logs/fx load model(s) from assets/hubert/hubert_base.pt move model to cuda all-feature-36 now-36,all-0,0_0.wav,(149, 768) now-36,all-3,0_11.wav,(67, 768) now-36,all-6,0_4.wav,(149, 768) now-36,all-9,0_7.wav,(149, 768) now-36,all-12,1_1.wav,(149, 768) now-36,all-15,1_3.wav,(149, 768) now-36,all-18,1_6.wav,(149, 768) now-36,all-21,1_9.wav,(149, 768) now-36,all-24,2_12.wav,(149, 768) now-36,all-27,2_16.wav,(32, 768) now-36,all-30,2_4.wav,(149, 768) now-36,all-33,2_7.wav,(149, 768) all-feature-done

2024-08-20 14:28:10 | INFO | main | "runtime\python.exe" infer/modules/train/preprocess.py "D:\shuchuyuansheng" 40000 8 "C:\rvc\RVC1006Nvidia/logs/fx" False 3.0 ['infer/modules/train/preprocess.py', 'D:\shuchuyuansheng', '40000', '8', 'C:\rvc\RVC1006Nvidia/logs/fx', 'False', '3.0'] start preprocess ['infer/modules/train/preprocess.py', 'D:\shuchuyuansheng', '40000', '8', 'C:\rvc\RVC1006Nvidia/logs/fx', 'False', '3.0'] ['C:\rvc\RVC1006Nvidia\infer\modules\train\preprocess.py', 'D:\shuchuyuansheng', '40000', '8', 'C:\rvc\RVC1006Nvidia/logs/fx', 'False', '3.0'] ['C:\rvc\RVC1006Nvidia\infer\modules\train\preprocess.py', 'D:\shuchuyuansheng', '40000', '8', 'C:\rvc\RVC1006Nvidia/logs/fx', 'False', '3.0'] ['C:\rvc\RVC1006Nvidia\infer\modules\train\preprocess.py', 'D:\shuchuyuansheng', '40000', '8', 'C:\rvc\RVC1006Nvidia/logs/fx', 'False', '3.0'] ['C:\rvc\RVC1006Nvidia\infer\modules\train\preprocess.py', 'D:\shuchuyuansheng', '40000', '8', 'C:\rvc\RVC1006Nvidia/logs/fx', 'False', '3.0'] ['C:\rvc\RVC1006Nvidia\infer\modules\train\preprocess.py', 'D:\shuchuyuansheng', '40000', '8', 'C:\rvc\RVC1006Nvidia/logs/fx', 'False', '3.0'] ['C:\rvc\RVC1006Nvidia\infer\modules\train\preprocess.py', 'D:\shuchuyuansheng', '40000', '8', 'C:\rvc\RVC1006Nvidia/logs/fx', 'False', '3.0'] ['C:\rvc\RVC1006Nvidia\infer\modules\train\preprocess.py', 'D:\shuchuyuansheng', '40000', '8', 'C:\rvc\RVC1006Nvidia/logs/fx', 'False', '3.0'] ['C:\rvc\RVC1006Nvidia\infer\modules\train\preprocess.py', 'D:\shuchuyuansheng', '40000', '8', 'C:\rvc\RVC1006Nvidia/logs/fx', 'False', '3.0'] D:\shuchuyuansheng/1_lfjq7-njb28-001_(Vocals).wav->Suc. D:\shuchuyuansheng/fx.wav->Suc. D:\shuchuyuansheng/jiebudiaoni.wav->Suc. end preprocess 2024-08-20 14:28:15 | INFO | main | start preprocess ['infer/modules/train/preprocess.py', 'D:\shuchuyuansheng', '40000', '8', 'C:\rvc\RVC1006Nvidia/logs/fx', 'False', '3.0'] D:\shuchuyuansheng/1_lfjq7-njb28-001_(Vocals).wav->Suc. D:\shuchuyuansheng/fx.wav->Suc. D:\shuchuyuansheng/jiebudiaoni.wav->Suc. end preprocess

2024-08-20 14:28:15 | INFO | main | "runtime\python.exe" infer/modules/train/extract/extract_f0_rmvpe.py 2 0 0 "C:\rvc\RVC1006Nvidia/logs/fx" True 2024-08-20 14:28:15 | INFO | main | "runtime\python.exe" infer/modules/train/extract/extract_f0_rmvpe.py 2 1 0 "C:\rvc\RVC1006Nvidia/logs/fx" True ['infer/modules/train/extract/extract_f0_rmvpe.py', '2', '1', '0', 'C:\rvc\RVC1006Nvidia/logs/fx', 'True'] todo-f0-18 f0ing,now-0,all-18,-C:\rvc\RVC1006Nvidia/logs/fx/1_16k_wavs/0_1.wav f0ing,now-3,all-18,-C:\rvc\RVC1006Nvidia/logs/fx/1_16k_wavs/0_5.wav f0ing,now-6,all-18,-C:\rvc\RVC1006Nvidia/logs/fx/1_16k_wavs/1_11.wav f0ing,now-9,all-18,-C:\rvc\RVC1006Nvidia/logs/fx/1_16k_wavs/1_7.wav f0ing,now-12,all-18,-C:\rvc\RVC1006Nvidia/logs/fx/1_16k_wavs/2_13.wav f0ing,now-15,all-18,-C:\rvc\RVC1006Nvidia/logs/fx/1_16k_wavs/2_5.wav ['infer/modules/train/extract/extract_f0_rmvpe.py', '2', '0', '0', 'C:\rvc\RVC1006Nvidia/logs/fx', 'True'] todo-f0-18 f0ing,now-0,all-18,-C:\rvc\RVC1006Nvidia/logs/fx/1_16k_wavs/0_0.wav f0ing,now-3,all-18,-C:\rvc\RVC1006Nvidia/logs/fx/1_16k_wavs/0_4.wav f0ing,now-6,all-18,-C:\rvc\RVC1006Nvidia/logs/fx/1_16k_wavs/1_1.wav f0ing,now-9,all-18,-C:\rvc\RVC1006Nvidia/logs/fx/1_16k_wavs/1_6.wav f0ing,now-12,all-18,-C:\rvc\RVC1006Nvidia/logs/fx/1_16k_wavs/2_12.wav f0ing,now-15,all-18,-C:\rvc\RVC1006Nvidia/logs/fx/1_16k_wavs/2_4.wav 2024-08-20 14:28:17 | INFO | main | ['infer/modules/train/extract/extract_f0_rmvpe.py', '2', '1', '0', 'C:\rvc\RVC1006Nvidia/logs/fx', 'True'] todo-f0-18 f0ing,now-0,all-18,-C:\rvc\RVC1006Nvidia/logs/fx/1_16k_wavs/0_1.wav f0ing,now-3,all-18,-C:\rvc\RVC1006Nvidia/logs/fx/1_16k_wavs/0_5.wav f0ing,now-6,all-18,-C:\rvc\RVC1006Nvidia/logs/fx/1_16k_wavs/1_11.wav f0ing,now-9,all-18,-C:\rvc\RVC1006Nvidia/logs/fx/1_16k_wavs/1_7.wav f0ing,now-12,all-18,-C:\rvc\RVC1006Nvidia/logs/fx/1_16k_wavs/2_13.wav f0ing,now-15,all-18,-C:\rvc\RVC1006Nvidia/logs/fx/1_16k_wavs/2_5.wav ['infer/modules/train/extract/extract_f0_rmvpe.py', '2', '0', '0', 'C:\rvc\RVC1006Nvidia/logs/fx', 'True'] todo-f0-18 f0ing,now-0,all-18,-C:\rvc\RVC1006Nvidia/logs/fx/1_16k_wavs/0_0.wav f0ing,now-3,all-18,-C:\rvc\RVC1006Nvidia/logs/fx/1_16k_wavs/0_4.wav f0ing,now-6,all-18,-C:\rvc\RVC1006Nvidia/logs/fx/1_16k_wavs/1_1.wav f0ing,now-9,all-18,-C:\rvc\RVC1006Nvidia/logs/fx/1_16k_wavs/1_6.wav f0ing,now-12,all-18,-C:\rvc\RVC1006Nvidia/logs/fx/1_16k_wavs/2_12.wav f0ing,now-15,all-18,-C:\rvc\RVC1006Nvidia/logs/fx/1_16k_wavs/2_4.wav

2024-08-20 14:28:17 | INFO | main | "runtime\python.exe" infer/modules/train/extract_feature_print.py cuda:0 1 0 0 "C:\rvc\RVC1006Nvidia/logs/fx" v2 ['infer/modules/train/extract_feature_print.py', 'cuda:0', '1', '0', '0', 'C:\rvc\RVC1006Nvidia/logs/fx', 'v2'] C:\rvc\RVC1006Nvidia/logs/fx load model(s) from assets/hubert/hubert_base.pt move model to cuda all-feature-36 all-feature-done 2024-08-20 14:28:21 | INFO | main | ['infer/modules/train/extract/extract_f0_rmvpe.py', '2', '1', '0', 'C:\rvc\RVC1006Nvidia/logs/fx', 'True'] todo-f0-18 f0ing,now-0,all-18,-C:\rvc\RVC1006Nvidia/logs/fx/1_16k_wavs/0_1.wav f0ing,now-3,all-18,-C:\rvc\RVC1006Nvidia/logs/fx/1_16k_wavs/0_5.wav f0ing,now-6,all-18,-C:\rvc\RVC1006Nvidia/logs/fx/1_16k_wavs/1_11.wav f0ing,now-9,all-18,-C:\rvc\RVC1006Nvidia/logs/fx/1_16k_wavs/1_7.wav f0ing,now-12,all-18,-C:\rvc\RVC1006Nvidia/logs/fx/1_16k_wavs/2_13.wav f0ing,now-15,all-18,-C:\rvc\RVC1006Nvidia/logs/fx/1_16k_wavs/2_5.wav ['infer/modules/train/extract/extract_f0_rmvpe.py', '2', '0', '0', 'C:\rvc\RVC1006Nvidia/logs/fx', 'True'] todo-f0-18 f0ing,now-0,all-18,-C:\rvc\RVC1006Nvidia/logs/fx/1_16k_wavs/0_0.wav f0ing,now-3,all-18,-C:\rvc\RVC1006Nvidia/logs/fx/1_16k_wavs/0_4.wav f0ing,now-6,all-18,-C:\rvc\RVC1006Nvidia/logs/fx/1_16k_wavs/1_1.wav f0ing,now-9,all-18,-C:\rvc\RVC1006Nvidia/logs/fx/1_16k_wavs/1_6.wav f0ing,now-12,all-18,-C:\rvc\RVC1006Nvidia/logs/fx/1_16k_wavs/2_12.wav f0ing,now-15,all-18,-C:\rvc\RVC1006Nvidia/logs/fx/1_16k_wavs/2_4.wav ['infer/modules/train/extract_feature_print.py', 'cuda:0', '1', '0', '0', 'C:\rvc\RVC1006Nvidia/logs/fx', 'v2'] C:\rvc\RVC1006Nvidia/logs/fx load model(s) from assets/hubert/hubert_base.pt move model to cuda all-feature-36 all-feature-done

2024-08-20 14:28:21 | INFO | main | Use gpus: 0 2024-08-20 14:28:21 | INFO | main | "runtime\python.exe" infer/modules/train/train.py -e "fx" -sr 40k -f0 1 -bs 4 -g 0 -te 20 -se 5 -pg assets/pretrained_v2/f0G40k.pth -pd assets/pretrained_v2/f0D40k.pth -l 0 -c 0 -sw 0 -v v2 INFO:fx:{'data': {'filter_length': 2048, 'hop_length': 400, 'max_wav_value': 32768.0, 'mel_fmax': None, 'mel_fmin': 0.0, 'n_mel_channels': 125, 'sampling_rate': 40000, 'win_length': 2048, 'training_files': './logs\fx/filelist.txt'}, 'model': {'filter_channels': 768, 'gin_channels': 256, 'hidden_channels': 192, 'inter_channels': 192, 'kernel_size': 3, 'n_heads': 2, 'n_layers': 6, 'p_dropout': 0, 'resblock': '1', 'resblock_dilation_sizes': [[1, 3, 5], [1, 3, 5], [1, 3, 5]], 'resblock_kernel_sizes': [3, 7, 11], 'spk_embed_dim': 109, 'upsample_initial_channel': 512, 'upsample_kernel_sizes': [16, 16, 4, 4], 'upsample_rates': [10, 10, 2, 2], 'use_spectral_norm': False}, 'train': {'batch_size': 4, 'betas': [0.8, 0.99], 'c_kl': 1.0, 'c_mel': 45, 'epochs': 20000, 'eps': 1e-09, 'fp16_run': True, 'init_lr_ratio': 1, 'learning_rate': 0.0001, 'log_interval': 200, 'lr_decay': 0.999875, 'seed': 1234, 'segment_size': 12800, 'warmup_epochs': 0}, 'model_dir': './logs\fx', 'experiment_dir': './logs\fx', 'save_every_epoch': 5, 'name': 'fx', 'total_epoch': 20, 'pretrainG': 'assets/pretrained_v2/f0G40k.pth', 'pretrainD': 'assets/pretrained_v2/f0D40k.pth', 'version': 'v2', 'gpus': '0', 'sample_rate': '40k', '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 1 nodes. DEBUG:infer.lib.infer_pack.models:gin_channels: 256, self.spk_embed_dim: 109 INFO:fx:loaded pretrained assets/pretrained_v2/f0G40k.pth INFO:fx:<All keys matched successfully> INFO:fx:loaded pretrained assets/pretrained_v2/f0D40k.pth INFO:fx:<All keys matched successfully> C:\rvc\RVC1006Nvidia\runtime\lib\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 C:\actions-runner_work\pytorch\pytorch\builder\windows\pytorch\aten\src\ATen\native\SpectralOps.cpp:867.) return _VF.stft(input, n_fft, hop_length, win_length, window, # type: ignore[attr-defined] C:\rvc\RVC1006Nvidia\runtime\lib\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 C:\actions-runner_work\pytorch\pytorch\builder\windows\pytorch\aten\src\ATen\native\SpectralOps.cpp:867.) return _VF.stft(input, n_fft, hop_length, win_length, window, # type: ignore[attr-defined] C:\rvc\RVC1006Nvidia\runtime\lib\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 C:\actions-runner_work\pytorch\pytorch\builder\windows\pytorch\aten\src\ATen\native\SpectralOps.cpp:867.) return _VF.stft(input, n_fft, hop_length, win_length, window, # type: ignore[attr-defined] C:\rvc\RVC1006Nvidia\runtime\lib\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 C:\actions-runner_work\pytorch\pytorch\builder\windows\pytorch\aten\src\ATen\native\SpectralOps.cpp:867.) return _VF.stft(input, n_fft, hop_length, win_length, window, # type: ignore[attr-defined] C:\rvc\RVC1006Nvidia\runtime\lib\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 C:\actions-runner_work\pytorch\pytorch\builder\windows\pytorch\aten\src\ATen\native\SpectralOps.cpp:867.) 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. C:\rvc\RVC1006Nvidia\runtime\lib\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() = [64, 1, 4], strides() = [4, 1, 1] bucket_view.sizes() = [64, 1, 4], strides() = [4, 4, 1] (Triggered internally at C:\actions-runner_work\pytorch\pytorch\builder\windows\pytorch\torch\csrc\distributed\c10d\reducer.cpp:337.) Variable._execution_engine.run_backward( # Calls into the C++ engine to run the backward pass INFO:fx:Train Epoch: 1 [0%] INFO:fx:[0, 0.0001] INFO:fx:loss_disc=3.620, loss_gen=3.102, loss_fm=11.731,loss_mel=29.830, loss_kl=9.000 DEBUG:matplotlib:matplotlib data path: C:\rvc\RVC1006Nvidia\runtime\lib\site-packages\matplotlib\mpl-data DEBUG:matplotlib:CONFIGDIR=C:\Users\Administrator.matplotlib DEBUG:matplotlib:interactive is False DEBUG:matplotlib:platform is win32 INFO:torch.nn.parallel.distributed:Reducer buckets have been rebuilt in this iteration. Process Process-1: Traceback (most recent call last): File "multiprocessing\process.py", line 315, in bootstrap File "multiprocessing\process.py", line 108, in run File "C:\rvc\RVC1006Nvidia\infer\modules\train\train.py", line 271, in run train_and_evaluate( File "C:\rvc\RVC1006Nvidia\infer\modules\train\train.py", line 499, in train_and_evaluate scaler.scale(loss_gen_all).backward() File "C:\rvc\RVC1006Nvidia\runtime\lib\site-packages\torch_tensor.py", line 487, in backward torch.autograd.backward( File "C:\rvc\RVC1006Nvidia\runtime\lib\site-packages\torch\autograd_init.py", line 200, in backward Variable._execution_engine.run_backward( # Calls into the C++ engine to run the backward pass RuntimeError: CUDA error: out of memory CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect. For debugging consider passing CUDA_LAUNCH_BLOCKING=1. Compile with TORCH_USE_CUDA_DSA to enable device-side assertions.

yanghaoyu0712 avatar Aug 20 '24 06:08 yanghaoyu0712