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Original data size: 800000
Expected shape: (200, 1000, 3)
Width x Height: (1000, 200)
Epoch 49/999 -------------------- ------------------- 2/4 0:02:08 • -:--:-- 0.00it/s v_num: 0.000 loss/g/total: 36.134 loss/g/fm: 8.935 loss/g/mel: 23.134 loss/g/kl: 1.493 loss/g/lf0: 0.001 loss/d/total: 2.278
Traceback (most recent call last):
File "C:\Program Files\Python310\lib\runpy.py", line 196, in _run_module_as_main
return _run_code(code, main_globals, None,
File "C:\Program Files\Python310\lib\runpy.py", line 86, in run_code
exec(code, run_globals)
File "C:\Users\anbin\AppData\Roaming\so-vits-svc-fork\venv\Scripts\svc.exe_main.py", line 7, in
File "C:\Users\anbin\AppData\Roaming\so-vits-svc-fork\venv\lib\site-packages\click\core.py", line 1161, in call
return self.main(*args, **kwargs)
File "C:\Users\anbin\AppData\Roaming\so-vits-svc-fork\venv\lib\site-packages\click\core.py", line 1082, in main
rv = self.invoke(ctx)
File "C:\Users\anbin\AppData\Roaming\so-vits-svc-fork\venv\lib\site-packages\click\core.py", line 1697, in invoke
return _process_result(sub_ctx.command.invoke(sub_ctx))
File "C:\Users\anbin\AppData\Roaming\so-vits-svc-fork\venv\lib\site-packages\click\core.py", line 1443, in invoke
return ctx.invoke(self.callback, **ctx.params)
File "C:\Users\anbin\AppData\Roaming\so-vits-svc-fork\venv\lib\site-packages\click\core.py", line 788, in invoke
return _callback(*args, **kwargs)
File "C:\Users\anbin\AppData\Roaming\so-vits-svc-fork\venv\lib\site-packages\so_vits_svc_fork_main.py", line 128, in train
train(
File "C:\Users\anbin\AppData\Roaming\so-vits-svc-fork\venv\lib\site-packages\so_vits_svc_fork\train.py", line 149, in train
trainer.fit(model, datamodule=datamodule)
File "C:\Users\anbin\AppData\Roaming\so-vits-svc-fork\venv\lib\site-packages\lightning\pytorch\trainer\trainer.py", line 539, in fit
call._call_and_handle_interrupt(
File "C:\Users\anbin\AppData\Roaming\so-vits-svc-fork\venv\lib\site-packages\lightning\pytorch\trainer\call.py", line 47, in _call_and_handle_interrupt
return trainer_fn(*args, **kwargs)
File "C:\Users\anbin\AppData\Roaming\so-vits-svc-fork\venv\lib\site-packages\lightning\pytorch\trainer\trainer.py", line 575, in _fit_impl
self._run(model, ckpt_path=ckpt_path)
File "C:\Users\anbin\AppData\Roaming\so-vits-svc-fork\venv\lib\site-packages\lightning\pytorch\trainer\trainer.py", line 982, in _run
results = self._run_stage()
File "C:\Users\anbin\AppData\Roaming\so-vits-svc-fork\venv\lib\site-packages\lightning\pytorch\trainer\trainer.py", line 1026, in _run_stage
self.fit_loop.run()
File "C:\Users\anbin\AppData\Roaming\so-vits-svc-fork\venv\lib\site-packages\lightning\pytorch\loops\fit_loop.py", line 216, in run
self.advance()
File "C:\Users\anbin\AppData\Roaming\so-vits-svc-fork\venv\lib\site-packages\lightning\pytorch\loops\fit_loop.py", line 455, in advance
self.epoch_loop.run(self._data_fetcher)
File "C:\Users\anbin\AppData\Roaming\so-vits-svc-fork\venv\lib\site-packages\lightning\pytorch\loops\training_epoch_loop.py", line 150, in run
self.advance(data_fetcher)
File "C:\Users\anbin\AppData\Roaming\so-vits-svc-fork\venv\lib\site-packages\lightning\pytorch\loops\training_epoch_loop.py", line 322, in advance
batch_output = self.manual_optimization.run(kwargs)
File "C:\Users\anbin\AppData\Roaming\so-vits-svc-fork\venv\lib\site-packages\lightning\pytorch\loops\optimization\manual.py", line 94, in run
self.advance(kwargs)
File "C:\Users\anbin\AppData\Roaming\so-vits-svc-fork\venv\lib\site-packages\lightning\pytorch\loops\optimization\manual.py", line 114, in advance
training_step_output = call._call_strategy_hook(trainer, "training_step", *kwargs.values())
File "C:\Users\anbin\AppData\Roaming\so-vits-svc-fork\venv\lib\site-packages\lightning\pytorch\trainer\call.py", line 323, in _call_strategy_hook
output = fn(*args, **kwargs)
File "C:\Users\anbin\AppData\Roaming\so-vits-svc-fork\venv\lib\site-packages\lightning\pytorch\strategies\strategy.py", line 391, in training_step
return self.lightning_module.training_step(*args, **kwargs)
File "C:\Users\anbin\AppData\Roaming\so-vits-svc-fork\venv\lib\site-packages\so_vits_svc_fork\train.py", line 483, in training_step
"slice/mel_org": utils.plot_spectrogram_to_numpy(
File "C:\Users\anbin\AppData\Roaming\so-vits-svc-fork\venv\lib\site-packages\so_vits_svc_fork\utils.py", line 407, in plot_spectrogram_to_numpy
data = data.reshape(fig.canvas.get_width_height()[::-1] + (3,))
ValueError: cannot reshape array of size 800000 into shape (200,1000,3)
To Reproduce
I got this error and hope someone can help
Additional context
No response
Version
4.1
Platform
Win10
Code of Conduct
I agree to follow this project's Code of Conduct.
No Duplicate
I have checked existing issues to avoid duplicates.
The text was updated successfully, but these errors were encountered:
Describe the bug
Original data size: 800000
Expected shape: (200, 1000, 3)
Width x Height: (1000, 200)
Epoch 49/999 -------------------- ------------------- 2/4 0:02:08 • -:--:-- 0.00it/s v_num: 0.000 loss/g/total: 36.134 loss/g/fm: 8.935 loss/g/mel: 23.134 loss/g/kl: 1.493 loss/g/lf0: 0.001 loss/d/total: 2.278
Traceback (most recent call last):
File "C:\Program Files\Python310\lib\runpy.py", line 196, in _run_module_as_main
return _run_code(code, main_globals, None,
File "C:\Program Files\Python310\lib\runpy.py", line 86, in run_code
exec(code, run_globals)
File "C:\Users\anbin\AppData\Roaming\so-vits-svc-fork\venv\Scripts\svc.exe_main.py", line 7, in
File "C:\Users\anbin\AppData\Roaming\so-vits-svc-fork\venv\lib\site-packages\click\core.py", line 1161, in call
return self.main(*args, **kwargs)
File "C:\Users\anbin\AppData\Roaming\so-vits-svc-fork\venv\lib\site-packages\click\core.py", line 1082, in main
rv = self.invoke(ctx)
File "C:\Users\anbin\AppData\Roaming\so-vits-svc-fork\venv\lib\site-packages\click\core.py", line 1697, in invoke
return _process_result(sub_ctx.command.invoke(sub_ctx))
File "C:\Users\anbin\AppData\Roaming\so-vits-svc-fork\venv\lib\site-packages\click\core.py", line 1443, in invoke
return ctx.invoke(self.callback, **ctx.params)
File "C:\Users\anbin\AppData\Roaming\so-vits-svc-fork\venv\lib\site-packages\click\core.py", line 788, in invoke
return _callback(*args, **kwargs)
File "C:\Users\anbin\AppData\Roaming\so-vits-svc-fork\venv\lib\site-packages\so_vits_svc_fork_main.py", line 128, in train
train(
File "C:\Users\anbin\AppData\Roaming\so-vits-svc-fork\venv\lib\site-packages\so_vits_svc_fork\train.py", line 149, in train
trainer.fit(model, datamodule=datamodule)
File "C:\Users\anbin\AppData\Roaming\so-vits-svc-fork\venv\lib\site-packages\lightning\pytorch\trainer\trainer.py", line 539, in fit
call._call_and_handle_interrupt(
File "C:\Users\anbin\AppData\Roaming\so-vits-svc-fork\venv\lib\site-packages\lightning\pytorch\trainer\call.py", line 47, in _call_and_handle_interrupt
return trainer_fn(*args, **kwargs)
File "C:\Users\anbin\AppData\Roaming\so-vits-svc-fork\venv\lib\site-packages\lightning\pytorch\trainer\trainer.py", line 575, in _fit_impl
self._run(model, ckpt_path=ckpt_path)
File "C:\Users\anbin\AppData\Roaming\so-vits-svc-fork\venv\lib\site-packages\lightning\pytorch\trainer\trainer.py", line 982, in _run
results = self._run_stage()
File "C:\Users\anbin\AppData\Roaming\so-vits-svc-fork\venv\lib\site-packages\lightning\pytorch\trainer\trainer.py", line 1026, in _run_stage
self.fit_loop.run()
File "C:\Users\anbin\AppData\Roaming\so-vits-svc-fork\venv\lib\site-packages\lightning\pytorch\loops\fit_loop.py", line 216, in run
self.advance()
File "C:\Users\anbin\AppData\Roaming\so-vits-svc-fork\venv\lib\site-packages\lightning\pytorch\loops\fit_loop.py", line 455, in advance
self.epoch_loop.run(self._data_fetcher)
File "C:\Users\anbin\AppData\Roaming\so-vits-svc-fork\venv\lib\site-packages\lightning\pytorch\loops\training_epoch_loop.py", line 150, in run
self.advance(data_fetcher)
File "C:\Users\anbin\AppData\Roaming\so-vits-svc-fork\venv\lib\site-packages\lightning\pytorch\loops\training_epoch_loop.py", line 322, in advance
batch_output = self.manual_optimization.run(kwargs)
File "C:\Users\anbin\AppData\Roaming\so-vits-svc-fork\venv\lib\site-packages\lightning\pytorch\loops\optimization\manual.py", line 94, in run
self.advance(kwargs)
File "C:\Users\anbin\AppData\Roaming\so-vits-svc-fork\venv\lib\site-packages\lightning\pytorch\loops\optimization\manual.py", line 114, in advance
training_step_output = call._call_strategy_hook(trainer, "training_step", *kwargs.values())
File "C:\Users\anbin\AppData\Roaming\so-vits-svc-fork\venv\lib\site-packages\lightning\pytorch\trainer\call.py", line 323, in _call_strategy_hook
output = fn(*args, **kwargs)
File "C:\Users\anbin\AppData\Roaming\so-vits-svc-fork\venv\lib\site-packages\lightning\pytorch\strategies\strategy.py", line 391, in training_step
return self.lightning_module.training_step(*args, **kwargs)
File "C:\Users\anbin\AppData\Roaming\so-vits-svc-fork\venv\lib\site-packages\so_vits_svc_fork\train.py", line 483, in training_step
"slice/mel_org": utils.plot_spectrogram_to_numpy(
File "C:\Users\anbin\AppData\Roaming\so-vits-svc-fork\venv\lib\site-packages\so_vits_svc_fork\utils.py", line 407, in plot_spectrogram_to_numpy
data = data.reshape(fig.canvas.get_width_height()[::-1] + (3,))
ValueError: cannot reshape array of size 800000 into shape (200,1000,3)
To Reproduce
I got this error and hope someone can help
Additional context
No response
Version
4.1
Platform
Win10
Code of Conduct
No Duplicate
The text was updated successfully, but these errors were encountered: