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Dear authors of the LFG paper,
We would like to include your work as a key baseline in our research and tried to reproduce the results you stated in the paper. However, after running the code you provided on openreview, we only got a success rate of 37%. Can you help us get a comparable result? We used the following launch script:
#!/bin/bash
# Scene IDs
scenes=(
"4ok3usBNeis" "5cdEh9F2hJL" "6s7QHgap2fW" "7MXmsvcQjpJ" "a8BtkwhxdRV" "BAbdmeyTvMZ"
"bCPU9suPUw9" "bxsVRursffK" "CrMo8WxCyVb" "cvZr5TUy5C5" "Dd4bFSTQ8gi" "DYehNKdT76V"
"eF36g7L6Z9M" "GLAQ4DNUx5U" "h1zeeAwLh9Z" "HY1NcmCgn3n" "k1cupFYWXJ6" "LT9Jq6dN3Ea"
"MHPLjHsuG27" "mL8ThkuaVTM" "mv2HUxq3B53" "Nfvxx8J5NCo" "p53SfW6mjZe" "q3zU7Yy5E5s"
"q5QZSEeHe5g" "QaLdnwvtxbs" "qyAac8rV8Zk" "svBbv1Pavdk" "TEEsavR23oF" "VBzV5z6i1WS"
"wcojb4TFT35" "XB4GS9ShBRE" "y9hTuugGdiq" "yr17PDCnDDW" "ziup5kvtCCR" "zt1RVoi7PcG"
)
# API keys and org IDs
# Please replace with your API keys and org ids, use multiple to avoid hitting rate limits
openai_keys=( "sk-***" "sk-***" "sk-***" )
openai_orgs=( "org-***" "org-***" "org-***" )
# Divide scenes among the runs
scenes_per_run=$(( ${#scenes[@]} / 5 ))
# Start runs
for i in {0..4}; do
start_index=$(( i * scenes_per_run ))
end_index=$(( (i+1) * scenes_per_run - 1 ))
# Slice the array to get the scenes for this run
run_scenes=(${scenes[@]:$start_index:$scenes_per_run})
# Convert the array to a comma-separated string
run_scenes=$(printf ",%s" "${run_scenes[@]}")
run_scenes=${run_scenes:1} # remove the leading comma
experiment_name="Eval_LFG_${i}"
echo "Starting run $i with scenes: $run_scenes"
# Set the GPU for this run
export CUDA_VISIBLE_DEVICES=$(($i))
# Select OpenAI key and org id for this run
key_index=$(($i % 3)) # Alternates between 0, 1, 2
openai_key=${openai_keys[$key_index]}
openai_org=${openai_orgs[$key_index]}
# Run the script with the appropriate scenes and experiment name
nohup python3 projects/habitat_objectnav/eval_dataset_distributed.py --scene_ids="$run_scenes" --experiment_name="$experiment_name" --openai_key="$openai_key" --openai_org="$openai_org" --max_episodes_per_scene=10 --use_gt_semantics --use_language > "${experiment_name}.out" 2>&1 &
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