Closed chikiuso closed 1 year ago
Could you provide the entire error message?
may be the error is something like this
Traceback (most recent call last):
File "inference.py", line 56, in <module>
inferencer.inference(source_path=args.source, target_path=args.target, out_path=args.output, seglen=args.seglen)
File "/data/jun/voice_conversion/AGAIN-VC/agent/inferencer.py", line 128, in inference
Dsp.plot_spectrogram(dec.squeeze().cpu().numpy(), output_plt)
File "/data/jun/voice_conversion/AGAIN-VC/util/dsp.py", line 98, in plot_spectrogram
librosa.display.specshow(mag, x_axis='off', cmap='viridis')
File "/data/jun/voice_conversion/AGAIN-VC/venv/lib/python3.7/site-packages/librosa/display.py", line 713, in specshow
kwargs.setdefault('cmap', cmap(data))
File "/data/jun/voice_conversion/AGAIN-VC/venv/lib/python3.7/site-packages/librosa/display.py", line 348, in cmap
max_val = np.percentile(data, max_p)
File "<__array_function__ internals>", line 6, in percentile
File "/data/jun/voice_conversion/AGAIN-VC/venv/lib/python3.7/site-packages/numpy/lib/function_base.py", line 3733, in percentile
a, q, axis, out, overwrite_input, interpolation, keepdims)
File "/data/jun/voice_conversion/AGAIN-VC/venv/lib/python3.7/site-packages/numpy/lib/function_base.py", line 3853, in _quantile_unchecked
interpolation=interpolation)
File "/data/jun/voice_conversion/AGAIN-VC/venv/lib/python3.7/site-packages/numpy/lib/function_base.py", line 3429, in _ureduce
r = func(a, **kwargs)
File "/data/jun/voice_conversion/AGAIN-VC/venv/lib/python3.7/site-packages/numpy/lib/function_base.py", line 3967, in _quantile_ureduce_func
x1 = take(ap, indices_below, axis=axis) * weights_below
File "<__array_function__ internals>", line 6, in take
File "/data/jun/voice_conversion/AGAIN-VC/venv/lib/python3.7/site-packages/numpy/core/fromnumeric.py", line 191, in take
return _wrapfunc(a, 'take', indices, axis=axis, out=out, mode=mode)
File "/data/jun/voice_conversion/AGAIN-VC/venv/lib/python3.7/site-packages/numpy/core/fromnumeric.py", line 58, in _wrapfunc
return bound(*args, **kwds)
IndexError: cannot do a non-empty take from an empty axes.
I also got that error when trying to do the inference. I tried to add the --seglen
with the same parameter with my preprocessor config but it produces this error
Traceback (most recent call last):
File "inference.py", line 56, in <module>
inferencer.inference(source_path=args.source, target_path=args.target, out_path=args.output, seglen=args.seglen)
File "/data/jun/voice_conversion/AGAIN-VC/agent/inferencer.py", line 116, in inference
self.process_wave_data(source, seglen=seglen)
File "/data/jun/voice_conversion/AGAIN-VC/agent/inferencer.py", line 97, in process_wave_data
wav_data[feat] = wav_data[feat][:,:seglen]
IndexError: too many indices for array: array is 1-dimensional, but 2 were indexed
may be the error is something like this
Traceback (most recent call last): File "inference.py", line 56, in <module> inferencer.inference(source_path=args.source, target_path=args.target, out_path=args.output, seglen=args.seglen) File "/data/jun/voice_conversion/AGAIN-VC/agent/inferencer.py", line 128, in inference ... File "/data/jun/voice_conversion/AGAIN-VC/venv/lib/python3.7/site-packages/numpy/core/fromnumeric.py", line 58, in _wrapfunc return bound(*args, **kwds) IndexError: cannot do a non-empty take from an empty axes.
Hi, could you check what shape is dec
before Dsp.plot_spectrogram(dec.squeeze().cpu().numpy(), output_plt)
?
I also got that error when trying to do the inference. I tried to add the
--seglen
with the same parameter with my preprocessor config but it produces this errorTraceback (most recent call last): File "inference.py", line 56, in <module> inferencer.inference(source_path=args.source, target_path=args.target, out_path=args.output, seglen=args.seglen) File "/data/jun/voice_conversion/AGAIN-VC/agent/inferencer.py", line 116, in inference self.process_wave_data(source, seglen=seglen) File "/data/jun/voice_conversion/AGAIN-VC/agent/inferencer.py", line 97, in process_wave_data wav_data[feat] = wav_data[feat][:,:seglen] IndexError: too many indices for array: array is 1-dimensional, but 2 were indexed
Similarly, could you check what shape is wav_data[feat]
before wav_data[feat] = wav_data[feat][:,:seglen]
?
Hi, I tried to run the inference by default settings, it shows the following :
IndexError: cannot do a non-empty take from an empty axes.
may I have any hints to solve it? thanks.