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Hi. When using the model you trained to validate my dataset in demo. py and train my own dataset , the same error occurred: CUDA out of memory .Tried to allocate 874.00 MiB(GPU 0; 7.79 GiB total capacity; 3.85GiB already allocated; 695.06GiB free; 5.04 GiB reserved in total by PyTorch) .My dataset only has 17 pairs of point clouds, and I have reduced the batch_size and base_ Lr still has this error. Is there any other way besides replacing the graphics card. Looking forward to your reply.
The text was updated successfully, but these errors were encountered:
Hi. When using the model you trained to validate my dataset in demo. py and train my own dataset , the same error occurred: CUDA out of memory .Tried to allocate 874.00 MiB(GPU 0; 7.79 GiB total capacity; 3.85GiB already allocated; 695.06GiB free; 5.04 GiB reserved in total by PyTorch) .My dataset only has 17 pairs of point clouds, and I have reduced the batch_size and base_ Lr still has this error. Is there any other way besides replacing the graphics card. Looking forward to your reply.
The text was updated successfully, but these errors were encountered: