Pytorch GPU memory keeps increasing with every batch
Pytorch GPU memory keeps increasing with every batch
I'm training a CNN model on images. Initially, I was training on image patches of size (256, 256) and everything was fine. Then I changed my dataloader to load full HD images (1080, 1920) and I was
stackoverflow.com
GPU memory consumption increases while training
How to allocate more GPU memory to be reserved by PyTorch to avoid “RuntimeError: CUDA out of memory”?
How to allocate more GPU memory to be reserved by PyTorch to avoid "RuntimeError: CUDA out of memory"?
Hello, I’m not experienced in PyTorch very well and perhaps asking a weird question. I’m running my PyTorch script in a docker container and I’m using GPU that has 48 GB. Although it has a larger capacity, somehow PyTorch is only using smaller than 1
discuss.pytorch.org
RuntimeError: CUDA out of memory. GPU Memory usage keeps on increasing
RuntimeError: CUDA out of memory. GPU Memory usage keeps on increasing
I am repeatedly getting the following error: RuntimeError: CUDA out of memory. Tried to allocate 20.00 MiB (GPU 0; 10.91 GiB total capacity; 10.33 GiB already allocated; 10.75 MiB free; 4.68 MiB cached) The gpu memory usage increases and the program hits e
discuss.pytorch.org
Memory Usage Keep Increasing During Training
Memory Usage Keep Increasing During Training
Hi guys, I trained my model using pytorch lightning. At the beginning, GPU memory usage is only 22%. However, after 900 steps, GPU memory usage is around 68%. Below is my for training step. I tried to remove unnecessary tensor and clear cache. And I did on
discuss.pytorch.org
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