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I have a problem with the Encoder model. I wanted to make the CRNN from scratch so I build my custom CNN encoder model like "Efficientnet-b0", it is worked but after 2 steps the gpu memory errors show up. I think GPU memory is stacked every step because of "for() function" in forward(). So, how can I solve that problem?
1 epoch
2 epoch
3 epoch
4 epoch
as you can see above, the memory increase until CUDA out of error .....
The text was updated successfully, but these errors were encountered:
Sorry that I was not able to conceive where the problem may be without knowing more details how your new model "Efficientnet-b0" is constructed. I do not recognize this type of error from my experience.
I have a problem with the Encoder model. I wanted to make the CRNN from scratch so I build my custom CNN encoder model like "Efficientnet-b0", it is worked but after 2 steps the gpu memory errors show up. I think GPU memory is stacked every step because of "for() function" in forward(). So, how can I solve that problem?
1 epoch
![image](https://user-images.githubusercontent.com/48959435/81159387-e1541480-8fc3-11ea-95bd-f65226b5822e.png)
2 epoch
![image](https://user-images.githubusercontent.com/48959435/81159469-f335b780-8fc3-11ea-831b-efda2f9a5c19.png)
3 epoch
![image](https://user-images.githubusercontent.com/48959435/81159535-047ec400-8fc4-11ea-863b-5f3c4fe38f6a.png)
4 epoch
![image](https://user-images.githubusercontent.com/48959435/81159674-2e37eb00-8fc4-11ea-8222-b6b30fd5b507.png)
as you can see above, the memory increase until CUDA out of error .....
The text was updated successfully, but these errors were encountered: