Kaggle Not Using GPU At ALL

1

Hi

OK, so i switch the runtime to use The GPU and restart the notebook.

I am using the below git-hub project to remove the background from images .

It takes approx 30 mins to remove background of 86 Images.

I have used Google drive to read my Images (It took the Same 30 mins)

Then i downloaded the same dateset to my Google colab/ Kaggle itself from MediaFire (Again took same 30 mins)

Now the thing is without the GPU, it also takes the Same time, that is 30 Mins (SO am i using the GPU or CPU wrong or is it not being utilized properly. ?

Please Help, Thanks

Proof that it only Uses FULL 100% CPU and Barely Any GPU (I am using u2net Model)

2

Which script in the linked repository are you using and are you moving the model as well as the data to the GPU manually?

3

Hi. So I edited the requirements file and removed all the == signs. So installed all the latest version.

And the following code I used in kaggle/ google Collab.

Please Help. Thanks :slight_smile:

4

It doesn’t seem you are installing PyTorch at all but MXNet so the MXNet discussion board might be a better place to ask. :wink:

5

hi in the github project above, it says that if using pytorch (u2net, u2netp), so i am using utnet. sorry a bit newbie if confused

can you try this out in google collab or kaggle if you have time

sorry and thanks :slight_smile: