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How do i speed up ? #128
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try to append |
I tried --preload 2 First it loads quickly, then it slows down and I lose connection to the remote computer. When I connect again, it is Killed. |
That's because you don't have enough memory. You can try to increase swap memory and use |
We have 20GB RTX4090. The data is 3GB. Why do you think this could happen? |
20GB of memory is not enough. You can monitor your memory usage while loading the data, and notice when the killed error happens |
How many GB of memory do I need? |
You can see what happend |
FRY, I have 64GB memory and it still gets killed if the training video is longer than 4 mins. You cannot easily increase your memory on a remote server, instead, you can increase swap memory to whatever you want |
Dont monitor GPU memory, monitor CPU memory (main memory) with top/htop |
However, we use --preload 2 argument. This argument load to GPU memory ? |
The data first loads to memory, then processed, and then loads to GPU, so you still need to have enough CPU memory |
It's done. Got it, so I'll do my memory checks, and if we have enough memory, how long will it take me to create a 10-second video? |
For RTX 4090 I'd guess around 6 seconds |
Wit this command python main.py data/May --workspace model/trial_may -O --test --test_train --asr_model ave --portrait --aud ./demo/test.wav ? True? It seems very good. |
Just test it. then try |
hi! Could you tell me how long will it take to create a 10-second video now. |
hey, were you able to generate your model upon training? After loading train data, it says Killed. Any workaround? @jinqiupeter @oguzhandoganoglu |
python main.py data/May --workspace model/trial_may -O --test --test_train --asr_model ave --portrait --aud ./demo/test.wav
A 20-second video takes 1 minute 10 seconds, how can I speed it up ? Should I use another command to speed up ?
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