search

kaixin96 / PANet

Code for our ICCV 2019 paper PANet: Few-Shot Image Semantic Segmentation with Prototype Alignment
315 stars 64 forks source link

Cuda out of memory error #31

Closed sheeba41 closed 3 years ago

sheeba41 commented 4 years ago

Hi @kaixin96 I was trying to run this code, and I ended up with a out of memory error: RuntimeError: CUDA out of memory. Tried to allocate 340.00 MiB (GPU 0; 1.96 GiB total capacity; 946.64 MiB already allocated; 23.38 MiB free; 1.33 GiB reserved in total by PyTorch)

I noticed that the batch size is already 1 so I cannot reduce it further, is there a workaround?

Or is there any way I can use an interactive shell like colab to run it? because sacred doesnt support interactive environments afaik.

Your help would be greatly appreciated.

kaixin96 commented 4 years ago

Hi @sheeba41 , 2GB might be too small for training. I am afraid there is not a workaround. You can use interactive shell to run it, though some code tweaks are needed. Thank you.

kaixin96 commented 3 years ago

I’m closing this issue because it has been inactive for a while. Feel free to reopen if you have questions. Thank you.