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Thank you for your interesting work and contribution to the research community!
I am trying to evaluate the DSEC dataset with full size of image (480×640) and batch size of 1.
I am getting this out of memory error: RuntimeError: CUDA out of memory. Tried to allocate 228.00 MiB (GPU 0; 10.76 GiB total capacity; 9.00 GiB already allocated; 7.69 MiB free; 9.44 GiB reserved in total by PyTorch) If reserved memory is >> allocated memory try setting max_split_size_mb to avoid fragmentation. See documentation for Memory Management and PYTORCH_CUDA_ALLOC_CONF Q1: My GPU 2080Ti has 12GB of memory, do I need more memory? Q2: If I want to train on the DSEC dataset with cropped size of image (288×384) and batch size of 6, how much memory do I need?
The text was updated successfully, but these errors were encountered:
Thank you for your interesting work and contribution to the research community!
I am trying to evaluate the DSEC dataset with full size of image (480×640) and batch size of 1.
I am getting this out of memory error:
RuntimeError: CUDA out of memory. Tried to allocate 228.00 MiB (GPU 0; 10.76 GiB total capacity; 9.00 GiB already allocated; 7.69 MiB free; 9.44 GiB reserved in total by PyTorch) If reserved memory is >> allocated memory try setting max_split_size_mb to avoid fragmentation. See documentation for Memory Management and PYTORCH_CUDA_ALLOC_CONF
Q1: My GPU 2080Ti has 12GB of memory, do I need more memory?
Q2: If I want to train on the DSEC dataset with cropped size of image (288×384) and batch size of 6, how much memory do I need?
The text was updated successfully, but these errors were encountered: