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53 lines
1.5 KiB
53 lines
1.5 KiB
#!/bin/bash
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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 8
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PROJECT_NAME=""
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PARENT_SAVE_DIR=""
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PARENT_TENSORBOARD_DIR=""
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PARENT_CONFIG_FILE=""
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PRETRAINED_MODEL_PATH=""
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declare -a dataset=(
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"PATH TO THE DATASET"
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)
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TIMESTAMP=$(date +%Y-%m-%d-%H-%M-%S)
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FULL_PROJECT_NAME="${PROJECT_NAME}-${TIMESTAMP}"
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SAVE_DIR="${PARENT_SAVE_DIR}${FULL_PROJECT_NAME}"
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TENSORBOARD_DIR="${PARENT_TENSORBOARD_DIR}${FULL_PROJECT_NAME}"
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CONFIG_FILE="${PARENT_CONFIG_FILE}${FULL_PROJECT_NAME}.json"
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colossalai run --nproc_per_node 8 --hostfile hostfile --master_port 30013 train.py \
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--pretrained $PRETRAINED_MODEL_PATH \
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--dataset ${dataset[@]} \
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--plugin "zero2" \
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--save_interval 400 \
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--save_dir $SAVE_DIR \
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--tensorboard_dir $TENSORBOARD_DIR \
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--config_file $CONFIG_FILE \
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--num_epochs 1 \
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--micro_batch_size 8 \
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--lr 1e-4 \
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--mixed_precision "bf16" \
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--grad_clip 1.0 \
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--weight_decay 0.01 \
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--warmup_steps 100 \
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--use_grad_checkpoint \
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--use_flash_attn \
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--pad_token "unk"
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