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r-zemblys avatar r-zemblys commented on May 5, 2024 1

Using default params I get loss of ~2 quite fast, in about 300 steps. You just need to lower learning rate, otherwise loss does not get lower that ~2.5.
I get 0.6-0.9 sec/step on TitanX GPU, using batch_size of 2

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ibab avatar ibab commented on May 5, 2024 1

I get about 0.5 sec / step on a K40 using batch_size = 1.

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Zeta36 avatar Zeta36 commented on May 5, 2024

"I get 0.6-0.9 sec/step on TitanX GPU, using batch_size of 2"

Wow!! I would love to have enough money to buy one of those :P.

Thank you for the info, @r-zemblys

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Zeta36 avatar Zeta36 commented on May 5, 2024

0.5 sec/step!! You can run more than 7k steps per hour!! I can run only 4k per day :P

Definitely, I have to buy a GPU for my computer.

By hte way, @ibab. Right now, it's only developed the non-conditional WaveNet form, isn't it? I mean, we are just reading all the raw wav file from a folder (the Corpus in this case), but we are not yet using any conditional one-hot vector (h) as described in the paper, isn't it?

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ibab avatar ibab commented on May 5, 2024

@Zeta36: Right, there's an issue on it now: #112.

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aclaussen1 avatar aclaussen1 commented on May 5, 2024

How do you lower the learning rate?

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nakosung avatar nakosung commented on May 5, 2024

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yarodevuci avatar yarodevuci commented on May 5, 2024

I have 0.1 sec/step is that good?

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cgberlin avatar cgberlin commented on May 5, 2024

yeah thats pretty good, i'm averaging 0.8 sec/step on a v100 using a custom dataset

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