#!/bin/bash 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" 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" # 3 checkpoints from MCQ-synthetic-trained NVILA run: # 80k-st → checkpoint-1250 (80k training steps) # 400k-st → checkpoint-6250 (400k training steps) # 800k-st → checkpoint-12500 (800k training steps) # # All from: NVILA-Lite-2B-SYNTHETIC_MIX_MCQ_5PCT_2M-20260302_030354 # # GPU assignment (NVILA ~8GB each): # GPU 0: nvila_st/80k-st # GPU 1: nvila_st/400k-st # GPU 2: nvila_st/800k-st declare -a MODEL_TYPES=("nvila_st" "nvila_st" "nvila_st") declare -a SCALES=( "80k-st" "400k-st" "800k-st") declare -a GPUS=( 0 1 2) echo "=========================================" echo " NVILA-ST CV-Bench: Launching 3 checkpoints in parallel" echo "=========================================" PIDS=() for i in "${!SCALES[@]}"; do mtype="${MODEL_TYPES[$i]}" scale="${SCALES[$i]}" gpu="${GPUS[$i]}" log="${STDOUT_LOG_DIR}/${mtype}_${scale}_stdout.log" echo "[GPU $gpu] ${mtype}/${scale} -> $log" CUDA_VISIBLE_DEVICES=$gpu $PYTHON "$SCRIPT" \ --model_type $mtype \ --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]}" label="${MODEL_TYPES[$i]}/${SCALES[$i]}" if wait $pid; then echo "[DONE] $label (PID $pid) - SUCCESS" else echo "[FAIL] $label (PID $pid) - EXIT CODE $?" FAILED=$((FAILED + 1)) fi done if [ $FAILED -gt 0 ]; then echo "WARNING: $FAILED process(es) failed. Check logs in $STDOUT_LOG_DIR" fi echo "" echo "ALL DONE (inference only)" echo "Results: $SCRIPT_DIR/$QUESTION_TYPE/saved_data/nvila_st_*/" echo "" echo "To merge with nvila baseline (vanilla/80k/400k/800k/2m), run:" echo " conda run --no-capture-output -n vila python $SCRIPT \\" echo " --model_type nvila_st_compare --merge --group-name nvila_st_compare \\" echo " --question-type $QUESTION_TYPE --output_dir $OUTPUT_DIR" echo "" echo " (Cross-alignment plots auto-included if all scales have Phase B data.)" echo " (Run Phase B later by re-running without --skip-phase-b.)"