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I have only one GPU, when train tiny bevformer model, the programe indicates CUDA out of memory, where to reduce the batch size?
The text was updated successfully, but these errors were encountered:
Current the batch size if fiexed 1. samples_per_gpu=1, you can reduce the img shape and query_num, bev_h, bev_w @hitbuyi
samples_per_gpu=1
img shape
query_num
bev_h
bev_w
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I have only one GPU, when train tiny bevformer model, the programe indicates CUDA out of memory, where to reduce the batch size?
The text was updated successfully, but these errors were encountered: