vram Questions

3

I'm trying to use aitextgen to finetune 774M gpt 2 on a dataset. unfortunately, no matter what i do, training fails because there are only 80 mb of vram available. how can i clear the vram without ...
Galliwasp asked 6/3, 2022 at 15:42

5

Solved

So I installed the GPU version of TensorFlow on a Windows 10 machine with a GeForce GTX 980 graphics card on it. Admittedly, I know very little about graphics cards, but according to dxdiag it doe...
Trager asked 17/12, 2017 at 22:5

9

Solved

i'm training some Music Data on a LSTM-RNN in Tensorflow and encountered some Problem with GPU-Memory-Allocation which i don't understand: I encounter an OOM when there actually seems to be just ab...
Rondarondeau asked 27/2, 2017 at 21:17

0

I am trying to estimate the VRAM needed for a fully connected model without having to build/train the model in pytorch. I got pretty close with this formula: # params = number of parameters # 1 MiB...
Kerns asked 22/10, 2021 at 18:29

2

Solved

TensorFlow always (pre-)allocates all free memory (VRAM) on my graphics card, which is ok since I want my simulations to run as fast as possible on my workstation. However, I would like to log how...
Exterritorial asked 22/10, 2016 at 9:31

1

Solved

I want to know the current nvidia/AMD implementation of handling VRAM resource allocation. We already know that operating systems use swap/virtual memory when system RAM is full, then what is the ...
Embow asked 25/4, 2015 at 12:25
1

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