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set_n_least_used_CUDA_VISIBLE_DEVICES() {
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local n=${1:-"9999"}
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echo "GPU Memory Usage:"
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local FIRST_N_GPU_IDS=$(nvidia-smi --query-gpu=memory.used --format=csv \
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| tail -n +2 \
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| nl -v 0 \
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| tee /dev/tty \
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| sort -g -k 2 \
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| awk '{print $1}' \
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| head -n $n)
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export CUDA_VISIBLE_DEVICES=$(echo $FIRST_N_GPU_IDS | sed 's/ /,/g')
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echo "Now CUDA_VISIBLE_DEVICES is set to:"
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echo "CUDA_VISIBLE_DEVICES=$CUDA_VISIBLE_DEVICES"
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}
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set_n_least_used_CUDA_VISIBLE_DEVICES 2
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torchrun --standalone --nproc_per_node=2 train_reward_model.py \
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--pretrain <your pretrain path> \
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--model 'bloom' \
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--strategy colossalai_zero2 \
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--loss_fn 'log_sig'\
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--save_path <your model saving path>\
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--dataset 'Anthropic/hh-rlhf'\
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