Comments (1)
andsteing
commented on July 2, 2024
The flag settings in the README were tested with a host having 8 V100 GPUs connected, so that would be for 16G of RAM. If you have fewer GPUs or less memory, you can adapt the --accum_steps flag accordingly (e.g. --accum_steps=$((8*16)) if you have a single GPU with 16G of RAM). For inference you'll need less RAM, so you can try to decrease the --accum_steps flag until you run out of memory. Note that you can also change the --batch_size flag, but for training you will then also need to find a new value for the learning rate.
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Related Issues (20)
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