42 lines
1.7 KiB
Bash
42 lines
1.7 KiB
Bash
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echo $$
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CUDA_DEVICE=$1
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DMOVE=$2
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DLG=$3
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echo $$ $CUDA_DEVICE $DMOVE $DLG
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FOLDER="models/baselines"
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# FOLDER="models/test_loss"
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# FOLDER="models/incremental_pretrained_2_attn_new"
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mkdir -p $FOLDER
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for SEED in 42; do #1 2 3 4 5; do #0; do #
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for MODEL in LSTM; do # LSTM; do # Transformer; do #
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for EXP in 3; do # 2 3; do
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# for DMOVE in "No" "Yes"; do
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# for DLG in "No" "Yes"; do
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for INT in 0 1 2 3 4 5 6 7; do
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FILE_NAME="plan_exp${EXP}_${MODEL}_dlg_${DLG}_move_${DMOVE}_int${INT}_seed_${SEED}"
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COMM="plan_predictor.py"
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COMM=$COMM" --seed=${SEED}"
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COMM=$COMM" --device=${CUDA_DEVICE}"
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COMM=$COMM" --use_dialogue_moves=${DMOVE}"
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COMM=$COMM" --use_dialogue=${DLG}"
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COMM=$COMM" --experiment=${EXP}"
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COMM=$COMM" --seq_model=${MODEL}"
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COMM=$COMM" --pov=First"
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COMM=$COMM" --plan=Yes"
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COMM=$COMM" --intermediate=${INT}"
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if [ $INT -gt 0 ]; then
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COMM=$COMM" --model_path=${FOLDER}/plan_exp${EXP}_${MODEL}_dlg_${DLG}_move_${DMOVE}_int0_seed_${SEED}.torch"
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fi
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COMM=$COMM" --save_path=${FOLDER}/${FILE_NAME}.torch"
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echo $(date +%F\ %T)" python3 ${COMM} > ${FOLDER}/${FILE_NAME}.log"
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nice -n 5 python3 $COMM > ${FOLDER}/${FILE_NAME}.log
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done
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# done
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# done
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done
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done
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done
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echo 'Done!'
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