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Step 1000/900000, Total Loss: nan, Mel Loss: nan, Mel PostNet Loss: nan, Pitch Loss: nan, Energy Loss: nan, Duration Loss: nan
Training: 0%|▏ | 1000/900000 [09:22<148:18:56, 1.68it/s/home/aziz/VScodeProjects/FastSpeech2/env/lib/python3.8/site-packages/matplotlib/image.py:452: UserWarning: Warning: converting a masked element to nan.██████████████████████████| 197/197 [09:22<00:00, 2.00s/it]
dv = np.float64(self.norm.vmax) - np.float64(self.norm.vmin)
/home/aziz/VScodeProjects/FastSpeech2/env/lib/python3.8/site-packages/matplotlib/image.py:459: UserWarning: Warning: converting a masked element to nan.
a_min = np.float64(newmin)
/home/aziz/VScodeProjects/FastSpeech2/env/lib/python3.8/site-packages/matplotlib/image.py:464: UserWarning: Warning: converting a masked element to nan.
a_max = np.float64(newmax)
<array_function internals>:5: UserWarning: Warning: converting a masked element to nan.
/home/aziz/VScodeProjects/FastSpeech2/env/lib/python3.8/site-packages/numpy/core/_asarray.py:83: UserWarning: Warning: converting a masked element to nan.
return array(a, dtype, copy=False, order=order)
/home/aziz/VScodeProjects/FastSpeech2/FastSpeech_eng/utils/tools.py:86: RuntimeWarning: invalid value encountered in true_divide
audio / max(abs(audio)),
/home/aziz/VScodeProjects/FastSpeech2/env/lib/python3.8/site-packages/matplotlib/image.py:452: UserWarning: Warning: converting a masked element to nan.
dv = np.float64(self.norm.vmax) - np.float64(self.norm.vmin)
/home/aziz/VScodeProjects/FastSpeech2/env/lib/python3.8/site-packages/matplotlib/image.py:459: UserWarning: Warning: converting a masked element to nan.
a_min = np.float64(newmin)
/home/aziz/VScodeProjects/FastSpeech2/env/lib/python3.8/site-packages/matplotlib/image.py:464: UserWarning: Warning: converting a masked element to nan.
a_max = np.float64(newmax)
<array_function internals>:5: UserWarning: Warning: converting a masked element to nan.
/home/aziz/VScodeProjects/FastSpeech2/env/lib/python3.8/site-packages/numpy/core/_asarray.py:83: UserWarning: Warning: converting a masked element to nan.
return array(a, dtype, copy=False, order=order)
/home/aziz/VScodeProjects/FastSpeech2/FastSpeech_eng/utils/tools.py:86: RuntimeWarning: invalid value encountered in true_divide
audio / max(abs(audio)),
It doesn't show total losses and it returns nan