limits-of-tom/run_plan_predictor_graphs_int0.sh
2024-06-11 15:36:55 +02:00

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echo Traning on int0!
CUDA_DEVICE=$1
DMOVE=$2
DLG=$3
LR=$4
echo $$ $CUDA_DEVICE $DMOVE $DLG
# FOLDER="models/incremental_pretrained_2_new"
# FOLDER="models/incremental_pretrained_2_new_fullsampling_ln"
# FOLDER="models/exp2"
# FOLDER="models/exp3"
FOLDER="models/exp2_int0exp2"
# FOLDER="models/exp2_test"
mkdir -p $FOLDER
for SEED in 7 42 123; do
for MODEL in Transformer; do
for EXP in 2; do # 2 3; do
for INT in 0; do
FILE_NAME="plan_exp${EXP}_${MODEL}_dlg_${DLG}_move_${DMOVE}_int${INT}_seed_${SEED}"
COMM="plan_predictor_graphs.py"
COMM=$COMM" --seed=${SEED}"
COMM=$COMM" --device=${CUDA_DEVICE}"
COMM=$COMM" --use_dialogue_moves=${DMOVE}"
COMM=$COMM" --use_dialogue=${DLG}"
COMM=$COMM" --experiment=${EXP}"
COMM=$COMM" --seq_model=${MODEL}"
COMM=$COMM" --pov=First"
COMM=$COMM" --plan=Yes"
COMM=$COMM" --lr=${LR}"
COMM=$COMM" --use_int0_instead_of_intermediate"
COMM=$COMM" --intermediate=${INT}"
if [ $INT -gt 0 ]; then
COMM=$COMM" --model_path=${FOLDER}/plan_exp${EXP}_${MODEL}_dlg_${DLG}_move_${DMOVE}_int0_seed_${SEED}.torch"
fi
COMM=$COMM" --save_path=${FOLDER}/${FILE_NAME}.torch"
echo $(date +%F\ %T)" python3 ${COMM} > ${FOLDER}/${FILE_NAME}.log"
nice -n 5 python3 $COMM > ${FOLDER}/${FILE_NAME}.log
done
done
done
done
echo 'Done!'