Download swap_analysis_cvbench/run_nvila.sh from ch-min/experiments: direct link, hf CLI and curl.
- Browser
- Download file 2.87 kB
-
https://huggingface.co/datasets/ch-min/experiments/resolve/main/swap_analysis_cvbench/run_nvila.sh
- Command line
-
hf download hf://datasets/ch-min/experiments/swap_analysis_cvbench/run_nvila.sh
-
curl -L -o run_nvila.sh https://huggingface.co/datasets/ch-min/experiments/resolve/main/swap_analysis_cvbench/run_nvila.sh
2.87 kB
| set -e | |
| SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)" | |
| SCRIPT="$SCRIPT_DIR/swap_analysis.py" | |
| PYTHON="conda run --no-capture-output -n vila python" | |
| MODEL="nvila" | |
| QUESTION_TYPE="short_answer" # change to mcq for MCQ A/B format | |
| # Logs managed by swap_analysis.py → {SCRIPT_DIR}/{QUESTION_TYPE}/logs/{vlm_key}.log | |
| OUTPUT_DIR="$SCRIPT_DIR/$QUESTION_TYPE/saved_data" | |
| STDOUT_LOG_DIR="$SCRIPT_DIR/$QUESTION_TYPE/logs" | |
| mkdir -p "$STDOUT_LOG_DIR" "$OUTPUT_DIR" | |
| # GPU plan: NVILA ~8GB each | |
| SCALES=("vanilla" "80k" "400k" "800k" "2m" "roborefer") | |
| GPUS=(2 3 4 5 6 7) | |
| echo "=========================================" | |
| echo " NVILA CV-Bench Swap Analysis: Launching ${#SCALES[@]} scales in parallel" | |
| echo "=========================================" | |
| PIDS=() | |
| for i in "${!SCALES[@]}"; do | |
| scale="${SCALES[$i]}" | |
| gpu="${GPUS[$i]}" | |
| log="${STDOUT_LOG_DIR}/${MODEL}_${scale}_stdout.log" | |
| echo "[GPU $gpu] $MODEL/$scale -> $log" | |
| CUDA_VISIBLE_DEVICES=$gpu $PYTHON "$SCRIPT" \ | |
| --model_type $MODEL \ | |
| --scales $scale \ | |
| --device cuda \ | |
| --no-auto-roborefer \ | |
| --question-type $QUESTION_TYPE \ | |
| --output_dir "$OUTPUT_DIR" \ | |
| --skip-phase-b \ | |
| > "$log" 2>&1 & | |
| PIDS+=($!) | |
| # Stagger launches to avoid I/O contention on large CV-Bench TSV files | |
| sleep 30 | |
| done | |
| echo "" | |
| echo "Waiting for all ${#PIDS[@]} processes..." | |
| FAILED=0 | |
| for i in "${!PIDS[@]}"; do | |
| pid="${PIDS[$i]}" | |
| scale="${SCALES[$i]}" | |
| if wait $pid; then | |
| echo "[DONE] $MODEL/$scale (PID $pid) - SUCCESS" | |
| else | |
| echo "[FAIL] $MODEL/$scale (PID $pid) - EXIT CODE $?" | |
| FAILED=$((FAILED + 1)) | |
| fi | |
| done | |
| if [ $FAILED -gt 0 ]; then | |
| echo "WARNING: $FAILED scale(s) failed. Check logs in $STDOUT_LOG_DIR" | |
| fi | |
| echo "=========================================" | |
| echo " NVILA CV-Bench Swap Analysis: Merge 1/2 (without roborefer)" | |
| echo "=========================================" | |
| $PYTHON "$SCRIPT" --model_type $MODEL \ | |
| --scales vanilla 80k 400k 800k 2m \ | |
| --merge --group-name nvila \ | |
| --question-type $QUESTION_TYPE \ | |
| --output_dir "$OUTPUT_DIR" \ | |
| 2>&1 | tee "${STDOUT_LOG_DIR}/nvila_merge_stdout.log" | |
| echo "=========================================" | |
| echo " NVILA CV-Bench Swap Analysis: Merge 2/2 (with roborefer)" | |
| echo "=========================================" | |
| $PYTHON "$SCRIPT" --model_type $MODEL \ | |
| --scales vanilla 80k 400k 800k 2m roborefer \ | |
| --merge --group-name nvila_with_roborefer \ | |
| --question-type $QUESTION_TYPE \ | |
| --output_dir "$OUTPUT_DIR" \ | |
| 2>&1 | tee "${STDOUT_LOG_DIR}/nvila_with_roborefer_merge_stdout.log" | |
| echo "" | |
| echo "ALL DONE: $MODEL" | |
| echo "Results: $SCRIPT_DIR/$QUESTION_TYPE/saved_data/nvila_*/" | |
| echo "Compare: $SCRIPT_DIR/$QUESTION_TYPE/compare/nvila/" | |
| echo "Compare: $SCRIPT_DIR/$QUESTION_TYPE/compare/nvila_with_roborefer/" | |