chore: sort run_once
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43
run_once.sh
43
run_once.sh
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@ -23,35 +23,32 @@ else
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echo "output_dir exists: $output_dir"
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fi
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# echo "${run_type} ${model} ${gpu_cnt} ${max_steps} ${run_name} ${output_dir}"
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python prepare_yaml_file.py ${run_type} ${model} ${max_steps} ${run_name} ${output_dir}
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export USE_MODELSCOPE_HUB=1
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echo "Start recording gpu status "
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# 0 means not printing gpu status
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python gpu_status.py ${output_dir} 1 10 &
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gpu_status_pid=$!
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echo "${gpu_status_pid}"
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# echo "Start recording gpu status "
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# # 0 means not printing gpu status
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# python gpu_status.py ${output_dir} 1 10 &
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# gpu_status_pid=$!
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# echo "${gpu_status_pid}"
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sleep 60
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if [ "${gpu_cnt}"="1" ]; then
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ASCEND_RT_VISIBLE_DEVICES=0 llamafactory-cli train ${output_dir}/${run_name}.yml \
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| tee ${output_dir}/log.txt" &
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train_pid=$!
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echo "Start train"
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else
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FORCE_TORCHRUN=1 llamafactory-cli train ${output_dir}/${run_name}.yml \
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| tee ${output_dir}/log.txt" &
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train_pid=$!
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echo "Start train"
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fi
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# if [ "${gpu_cnt}"="1" ]; then
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# ASCEND_RT_VISIBLE_DEVICES=0 llamafactory-cli train ${output_dir}/${run_name}.yml \
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# | tee ${output_dir}/log.txt" &
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# train_pid=$!
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# echo "Start train"
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# else
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# FORCE_TORCHRUN=1 llamafactory-cli train ${output_dir}/${run_name}.yml \
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# | tee ${output_dir}/log.txt" &
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# train_pid=$!
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# echo "Start train"
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# fi
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wait $train_pid
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echo "Train ended"
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# wait $train_pid
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# echo "Train ended"
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# sleep 90
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kill $gpu_status_pid
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echo "Gpu status ended"
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# kill $gpu_status_pid
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# echo "Gpu status ended"
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