FlowCache/FlowCache4MAGI-1-dev5-history/tools/run_compare_v345.sh

#!/usr/bin/env bash
# Compare dev3 / dev4 / dev5: dev5 history sweep @120f, then best configs @240f.
set -eo pipefail

GPU_ID="${CUDA_VISIBLE_DEVICES:-1}"
BASELINE="/home/dyvm6xra/dyvm6xrauser11/workspace/cz/FlowCache/FlowCache4MAGI-1/outputs/a_woman_dancing_2026-05-19_09-49-14/output_2026-05-19_09-49-14.mp4"
DEV3="/home/dyvm6xra/dyvm6xrauser11/workspace/cz/FlowCache/FlowCache4MAGI-1-dev3-motion"
DEV4="/home/dyvm6xra/dyvm6xrauser11/workspace/cz/FlowCache/FlowCache4MAGI-1-dev4-detail"
DEV5="/home/dyvm6xra/dyvm6xrauser11/workspace/cz/FlowCache/FlowCache4MAGI-1-dev5-history"
PROMPT="${PROMPT:-a woman dancing.}"
OUT="${OUT:-$DEV5/outputs/compare_v345_$(date +%Y%m%d_%H%M%S)}"
mkdir -p "$DEV5/outputs"
mkdir -p "$OUT/report"

export MASTER_ADDR=localhost
export CUDA_VISIBLE_DEVICES="$GPU_ID"
export PAD_HQ=1 PAD_DURATION=1
export PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True
export OFFLOAD_T5_CACHE=true OFFLOAD_VAE_CACHE=true

set +u
source "${HOME}/miniforge3/etc/profile.d/conda.sh" 2>/dev/null || source "${HOME}/anaconda3/etc/profile.d/conda.sh"
conda activate magi
python3 -c "import numpy as np; exit(0 if int(np.__version__.split('.')[0])<2 else 1)" || pip install -q "numpy>=1.24,<2.0"

make_runtime() {
    python3 - "$1" "$2" <<'PY'
import json, sys
with open("/home/dyvm6xra/dyvm6xrauser11/workspace/cz/FlowCache/FlowCache4MAGI-1-dev3-motion/config/single_run/flowcache_t2v.json") as f:
    cfg = json.load(f)
cfg["runtime_config"]["num_frames"] = int(sys.argv[2])
with open(sys.argv[1], "w") as f:
    json.dump(cfg, f, indent=4)
PY
}

RESULTS="$OUT/report/results.csv"
echo "variant,version,frames,psnr_db,ssim,black_ratio,reuse_rate_pct,wall_sec,peak_gb,video_path,log_path,config" > "$RESULTS"

run_one() {
    local version="$1" root="$2" yaml="$3" tag="$4" frames="$5"
    local runtime="$OUT/runtime_${frames}f.json"
    make_runtime "$runtime" "$frames"
    local edir="$OUT/${version}_${tag}_${frames}f"
    mkdir -p "$edir"
    local out="$edir/output.mp4" log="$edir/infer.log" metric="$edir/metrics.json"
    export MASTER_PORT=$((6300 + RANDOM % 300))
    if [ "$root" = "$DEV4" ]; then export PYTHONPATH="${DEV4}:${DEV3}"
    elif [ "$root" = "$DEV5" ]; then export PYTHONPATH="${DEV5}:${DEV4}:${DEV3}"
    else export PYTHONPATH="${DEV3}:${DEV4}"; fi
    echo "========== $version / $tag @ ${frames}f =========="
    local t0=$(date +%s)
    set +e
    ( cd "$root" && python3 inference/pipeline/motioncache.py \
        --config_file "$runtime" --mode t2v --prompt "$PROMPT" \
        --output_path "$out" --additional_config "$yaml" \
        --motioncache_metric_stats_path "$metric" 2>&1 | tee "$log" )
    local rc=${PIPESTATUS[0]}; set -e
    local t1=$(date +%s)
    [ -f "$out" ] && [ "$rc" -eq 0 ] || { echo "FAILED $tag"; return 1; }
    eval_out=$(python3 "$DEV3/tools/eval_run.py" --baseline "$BASELINE" --generated "$out" --log "$log" --metric "$metric")
    PSNR=NA; SSIM=NA; BLACK=NA; REUSE=NA; PEAK=NA
    while IFS='=' read -r k v; do
        case "$k" in PSNR) PSNR="$v" ;; SSIM) SSIM="$v" ;; BLACK) BLACK="$v" ;; REUSE) REUSE="$v" ;; PEAK) PEAK="$v" ;; esac
    done <<< "$eval_out"
    echo "$tag,$version,$frames,$PSNR,$SSIM,$BLACK,$REUSE,$((t1-t0)),$PEAK,$out,$log,$yaml" >> "$RESULTS"
    echo "  PSNR=${PSNR}dB reuse=${REUSE}% time=$((t1-t0))s"
}

# Phase 1: dev5 history sweep @120f
for spec in \
    "default|$DEV5/yaml_config/single_run/historycache_config.yaml" \
    "decay0.5|$DEV5/yaml_config/single_run/history_decay0.5.yaml" \
    "decay0.85|$DEV5/yaml_config/single_run/history_decay0.85.yaml" \
    "anchor0.5|$DEV5/yaml_config/single_run/history_anchor0.5.yaml" \
    "streak0.35|$DEV5/yaml_config/single_run/history_streak0.35.yaml"; do
    IFS='|' read -r tag ypath <<< "$spec"
    run_one dev5 "$DEV5" "$ypath" "$tag" 120 || true
done

BEST_DEV5_YAML=$(python3 - "$RESULTS" "$DEV5/yaml_config/single_run/historycache_config.yaml" <<'PY'
import csv, sys
rows = [r for r in csv.DictReader(open(sys.argv[1])) if r["version"]=="dev5" and r["frames"]=="120" and r["psnr_db"] not in ("NA","")]
if not rows:
    print(sys.argv[2])
else:
    def score(r):
        p=float(r["psnr_db"]) if r["psnr_db"]!="inf" else 100
        return p+0.02*float(r["reuse_rate_pct"] or 0)
    print(max(rows,key=score)["config"])
PY
)
BEST_DEV5_TAG=$(python3 - "$RESULTS" <<'PY'
import csv, sys
rows = [r for r in csv.DictReader(open(sys.argv[1])) if r["version"]=="dev5" and r["frames"]=="120" and r["psnr_db"] not in ("NA","")]
if not rows:
    print("default")
else:
    def score(r):
        p=float(r["psnr_db"]) if r["psnr_db"]!="inf" else 100
        return p+0.02*float(r["reuse_rate_pct"] or 0)
    print(max(rows,key=score)["variant"])
PY
)
echo "Best dev5 @120f: $BEST_DEV5_TAG -> $BEST_DEV5_YAML"
cp "$BEST_DEV5_YAML" "$DEV5/yaml_config/single_run/historycache_config_best.yaml"

# Phase 2: 240f validation for dev3/dev4/dev5 best
run_one dev3 "$DEV3" "$DEV3/yaml_config/single_run/motioncache_config_best.yaml" best 240 || true
run_one dev4 "$DEV4" "$DEV4/yaml_config/single_run/motiondetail_config_best.yaml" best 240 || true
run_one dev5 "$DEV5" "$BEST_DEV5_YAML" "$BEST_DEV5_TAG" 240 || true

python3 - "$RESULTS" "$OUT/report/comparison_v345.md" <<'PY'
import csv, sys
from datetime import datetime
csv_path, md_path = sys.argv[1:3]
rows = [r for r in csv.DictReader(open(csv_path)) if r["psnr_db"] not in ("NA", "")]
def score(r):
    p = float(r["psnr_db"]) if r["psnr_db"] != "inf" else 100
    return p + 0.02 * float(r["reuse_rate_pct"] or 0)
lines = [
    "# dev3 vs dev4 vs dev5 对比报告",
    f"\n生成时间: {datetime.now():%Y-%m-%d %H:%M:%S}\n",
    "## 全部结果",
    "| version | variant | frames | PSNR | reuse% | time(s) | score |",
    "|---------|---------|--------|------|--------|---------|-------|",
]
for r in sorted(rows, key=score, reverse=True):
    lines.append(
        f"| {r['version']} | {r['variant']} | {r['frames']} | {r['psnr_db']} | {r['reuse_rate_pct']} | {r['wall_sec']} | {score(r):.3f} |"
    )
full = [r for r in rows if r["frames"] == "240"]
lines += ["\n## 240f 全分辨率对比（最终）\n", "| version | variant | PSNR | reuse% | time(s) |", "|---------|---------|------|--------|---------|"]
for r in full:
    lines.append(f"| {r['version']} | {r['variant']} | {r['psnr_db']} dB | {r['reuse_rate_pct']} | {r['wall_sec']} |")
if len(full) >= 2:
    d3 = next((r for r in full if r["version"]=="dev3"), None)
    d4 = next((r for r in full if r["version"]=="dev4"), None)
    d5 = next((r for r in full if r["version"]=="dev5"), None)
    lines.append("\n## 结论\n")
    for name, r in [("dev3", d3), ("dev4", d4), ("dev5", d5)]:
        if r: lines.append(f"- **{name}** `{r['variant']}`: PSNR={r['psnr_db']}dB reuse={r['reuse_rate_pct']}%")
    if d3 and d5:
        lines.append(f"- dev5 vs dev3 PSNR: {float(d5['psnr_db'])-float(d3['psnr_db']):+.2f} dB")
    if d4 and d5:
        lines.append(f"- dev5 vs dev4 PSNR: {float(d5['psnr_db'])-float(d4['psnr_db']):+.2f} dB")
open(md_path, "w").write("\n".join(lines) + "\n")
print(f"Report: {md_path}")
PY

echo "Done: $OUT/report/comparison_v345.md"