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error #1060
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Describe the bug
the model files is not generated and the training is bloqued
To Reproduce
svc train
Additional context
[07:37:50] INFO [07:37:50] Using strategy: auto train.py:98
INFO [07:37:50] GPU available: False, used: rank_zero.py:64
False
[07:37:51] INFO [07:37:51] TPU available: False, using: 0 rank_zero.py:64
TPU cores
INFO [07:37:51] IPU available: False, using: 0 rank_zero.py:64
IPUs
INFO [07:37:51] HPU available: False, using: 0 rank_zero.py:64
HPUs
WARNING [07:37:51] warnings.py:109
d:\so-vits-svc-fork\venv\lib\site-packages\
so_vits_svc_fork\modules\synthesizers.py:81
: UserWarning: Unused arguments:
{'n_layers_q': 3, 'use_spectral_norm':
False, 'pretrained': {'D_0.pth':
'https://huggingface.co/datasets/ms903/sovi
ts4.0-768vec-layer12/resolve/main/sovits_76
8l12_pre_large_320k/clean_D_320000.pth',
'G_0.pth':
'https://huggingface.co/datasets/ms903/sovi
ts4.0-768vec-layer12/resolve/main/sovits_76
8l12_pre_large_320k/clean_G_320000.pth'}}
warnings.warn(f"Unused arguments:
{kwargs}")
[07:37:54] WARNING [07:37:54] warnings.py:109
d:\so-vits-svc-fork\venv\lib\site-packages\
so_vits_svc_fork\utils.py:246: UserWarning:
Keys not found in checkpoint state
dict:['emb_g.weight']
warnings.warn(f"Keys not found in
checkpoint state dict:" f"{not_in_from}")
[07:37:55] INFO [07:37:55] Loaded checkpoint utils.py:307
'logs\44k\D_0.pth' (epoch 0)
+-----------------------------------------------+
| | Name | Type | Params |
|---+-------+--------------------------+--------|
| 0 | net_g | SynthesizerTrn | 45.6 M |
| 1 | net_d | MultiPeriodDiscriminator | 46.7 M |
+-----------------------------------------------+
Trainable params: 92.4 M
Non-trainable params: 0
Total params: 92.4 M
Total estimated model params size (MB): 369
WARNING [07:37:55] warnings.py:109
d:\so-vits-svc-fork\venv\lib\site-packages\
lightning\pytorch\trainer\connectors\data_c
onnector.py:441: The 'val_dataloader' does
not have many workers which may be a
bottleneck. Consider increasing the value
of the
num_workers
argumentto
num_workers=3in the
DataLoader` toimprove performance.
[07:37:56] WARNING [07:37:56] warnings.py:109
d:\so-vits-svc-fork\venv\lib\site-packages\
lightning\pytorch\loops\fit_loop.py:293:
The number of training batches (40) is
smaller than the logging interval
Trainer(log_every_n_steps=50). Set a lower
value for log_every_n_steps if you want to
see logs for the training epoch.
[07:38:03][07:38:03] WARNING WARNING [ [07:38:0307:38:03]] warnings.py :warnings.py109
: 109
d:\so-vits-svc-fork\venv\lib\site-packages\
d:\so-vits-svc-fork\venv\lib\site-packages\
torch_utils.py:[07:38:03] 831 : UserWarning: torch_utils.py:WARNING 831
: UserWarning: [ TypedStorage is deprecated. It will be 07:38:03
]
warnings.pyTypedStorage is deprecated. It will be :removed in the future and UntypedStorage 109
831 : UserWarning:
only matter to you if you are using
storages directly. To access
UntypedStorage directly, use
) instead of
only matter to you if you are using
tensor.storage (
)tensor.storage ( )
storages directly. To access
return self.fget.get
( return instance, UntypedStorage directly, use self.fget.get ( instance,
[07:38:03] WARNING [07:38:03] warnings.py:109
d:\so-vits-svc-fork\venv\lib\site-packages\
torch_utils.py:831: UserWarning:
TypedStorage is deprecated. It will be
removed in the future and UntypedStorage
will be the only storage class. This should
only matter to you if you are using
storages directly. To access
UntypedStorage directly, use
tensor.untyped_storage() instead of
tensor.storage()
return self.fget.get(instance,
owner)()
Le volume dans le lecteur D s'appelle dev
Le num‚ro de s‚rie du volume est 103E-6C52
R‚pertoire de D:\drive2\so-vits-svc-fork\logs\44k
12/01/2024 21:44
.12/01/2024 21:44 ..
13/01/2024 07:37 2ÿ193 config.json
12/01/2024 21:44 187ÿ027ÿ770 D_0.pth
12/01/2024 21:44 209ÿ268ÿ661 G_0.pth
12/01/2024 19:38 lightning_logs
3 fichier(s) 396ÿ298ÿ624 octets
3 R‚p(s) 262ÿ772ÿ918ÿ784 octets libres
Version
latest pip
Platform
windows 10
Code of Conduct
No Duplicate
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