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Memory error !!!
@Diego999 i am getting the following error all_combinations_matrix = torch.cat([Wh_repeated_in_chunks, Wh_repeated_alternating], dim=1) RuntimeError: CUDA out of memory. Tried to allocate 896.00 MiB (GPU 0; 6.00 GiB total capacity; 4.12 GiB already allocated; 162.50 MiB free; 4.48 GiB reserved in total by PyTorch) any insights on these
THanks in advance
I met with the error as well, have you solved this problem yet?
Maybe, your memory is not enough to be used. Because it use 7GB+ memory to run this dataset.
Is there any way to decrease memory usage?
why a graph 2708 nodes need so much memory?
I also met this problem, is there any solution?
Is there any solution?
Is there any solution?
I think the solution is to use another effective and efficient graph convolution.