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https://github.com/hpcaitech/ColossalAI.git
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b03d64d010
* to: add SLTrainer * refactor: refactor RMTrainer and SFTTrainer * fix: fix init file * feat: remove on_learn_epoch fn as not used * fix: align with modified gemini arguments * to: add OnPolicyTrainer * revert: add _on_learn_epoch fn * refactor: refactor PPOTrainer * style: rename PPOTrainer argument * fix: align with modified PPO arguments * test: align with modified train_prompts arguments * chore: modify train_prompts * docs: align with modified arguments * fix: remove unnecessary output * fix: move dataloader to fit fn of SLTrainer * fix: move dataloader to fit fn of OnPolicyTrainer * fix: modify usage of prompt and pretrain dataloader
26 lines
896 B
Bash
Executable File
26 lines
896 B
Bash
Executable File
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_prompts.py prompts.csv --strategy colossalai_zero2
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torchrun --standalone --nproc_per_node=2 train_prompts.py \
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--pretrain_dataset /path/to/data.json \
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--prompt_dataset /path/to/data.json \
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--strategy colossalai_zero2 \
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--num_episodes 1 --num_collect_steps 2 --num_update_steps 1 \
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--train_batch_size 2
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