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i'm using your code to train my dataset,the codes ran ok while loss value is negative ,is this normal?
INFO:pytorch:Let's use 1 GPUs! C:\Python35\lib\site-packages\torch\nn\modules\upsampling.py:122: UserWarning: nn.Upsampling is deprecated. Use nn.functional.interpolate instead. warnings.warn("nn.Upsampling is deprecated. Use nn.functional.interpolate instead.") INFO:pytorch:[1, 1] loss: 8774.103 INFO:pytorch:[1, 2] loss: 247.321 INFO:pytorch:[1, 3] loss: 2267.624 INFO:pytorch:[1, 4] loss: 2223.914 INFO:pytorch:[1, 5] loss: 21230.785 INFO:pytorch:[1, 6] loss: -4516.562 INFO:pytorch:[1, 7] loss: -1636.356 INFO:pytorch:[1, 8] loss: -1802.424 INFO:pytorch:[1, 9] loss: -973.106 INFO:pytorch:[1, 10] loss: -2390.099 INFO:pytorch:[1, 11] loss: -3500.059 INFO:pytorch:[1, 12] loss: -2850.755 INFO:pytorch:[1, 13] loss: -4785.271 INFO:pytorch:[1, 14] loss: -5666.863 INFO:pytorch:[1, 15] loss: -6398.563 INFO:pytorch:[1, 16] loss: 6809.037 INFO:pytorch:[1, 17] loss: 6204.096 INFO:pytorch:[1, 18] loss: -9287.712 INFO:pytorch:[1, 19] loss: -3614.344
The text was updated successfully, but these errors were encountered:
The value of a probability density function is not restricted to the range of 0 and 1, so -log(P(x)) may be negative.
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您好!我之前听过您在AI研习社的关于语音合成的演讲,做了一些笔记,有一个问题想请教下。传统方法合成的语音有很重的机械音,如果把声码器换成神经网络的,比如wavenet这种,会出现跳帧的情况。就是有些字的发音会没有,请问这种问题该如何解决呢?
Why the calculated loss in your implementation is different than the one explained in nvidia version of Waveglow ?
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i'm using your code to train my dataset,the codes ran ok while loss value is negative ,is this normal?
The text was updated successfully, but these errors were encountered: