gpt5.2.bsub

#!/bin/bash -l

## scheduler parameters ##

#BSUB -J gpt5.2	# job name
#BSUB -o gpt5.2.%J.stdout        # optional: have output written to specific file
#BSUB -e gpt5.2.%J.stderr        # optional: have errors written to specific file
#BSUB -q batch_cpu			# optional: select the queue, you would like to use. E.g., batch_a100, batch_h100
#BSUB -W 7:00                       # fill in desired wallclock time [hours,]minutes (hours are optional)
#BSUB -n 4                          # min CPU cores,max CPU cores (max cores is optional)
#BSUB -M 100                       # fill in required amount of memory per CPU core(in Mbyte)
#BSUB -R "span[hosts=1]"          # optional: run on single host (if using more than 1 CPU core)
# #BSUB -R "span[ptile=28]"         # optional: fill in to specify cores per node (max 28-40 depending on node type)
# #BSUB -P myProject                # optional: fill in cluster project

## job parameters ##

# load modules
module purge
module load conda cuda/13.0.0 cudnn/13.0_v9.15

# activate environment
conda activate llm-syscall

# openai key
export OPENAI_ENDPOINT
export OPENAI_API_KEY

# run 
SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
WORKING_DIR="$(dirname "$SCRIPT_DIR")"
MAN_DIR="$WORKING_DIR/data/man"
MODES=("success" "error_code")

for MODE in "${MODES[@]}"; do
    for RUN in {1..5}; do
	echo "MODE: {$MODE} RUN: {$RUN}"
        python3 ./src/gpt5.2_run.py \
            --mode="$MODE" \
            --man_dir_path="$MAN_DIR" \
            --output_dir_path="$MODE/gpt-5.2/run$RUN"
    done
done