Upload strict640x480-v2/code/wait_and_evaluate_all5.sh with huggingface_hub

strict640x480-v2/code/wait_and_evaluate_all5.sh

@@ -5,6 +5,8 @@ set -euo pipefail
 
 method="${1:?method: dino|stereo|moe|local_arca}"
 gpu="${2:?physical GPU index}"
+skip_tasks=",${3:-},"
+eval_workers="${EVAL_WORKERS:-1}"
 root=/workspace/RoboFactory/runs/strict640x480_v2
 py=/workspace/venvs/robofactory-act/bin/python3.10
 
@@ -38,14 +40,28 @@ done
 
 mkdir -p "$result_dir"
 for task in lift_barrier camera_alignment three_robots_stack_cube long_pipeline_delivery take_photo; do
+  case "$skip_tasks" in *",$task,"*) echo "SKIP_ASSIGNED_TASK $method $task"; continue;; esac
+  result="$result_dir/eval_${task}.json"
+  # A parallel worker may have already completed this exact frozen protocol on
+  # another freed GPU.  Reuse only a complete 100-episode JSON; never treat a
+  # partial file as valid.
+  if [[ -s "$result" ]] && "$py" - "$result" <<'PY'
+import json, sys
+r = json.load(open(sys.argv[1], encoding="utf-8"))
+raise SystemExit(0 if r.get("episodes") == 100 and len(r.get("rows", [])) == 100 else 1)
+PY
+  then
+    echo "REUSE_FORMAL_EVAL $method $task"
+    continue
+  fi
   # A single worker owns the freed GPU, avoiding concurrent simulator processes
   # silently contending for one policy replica.  The seed file is frozen and
   # verified by the evaluator before any rollout starts.
   CUDA_VISIBLE_DEVICES="$gpu" "$py" -u "$evaluator" \
     --checkpoint "$checkpoint" --task "$task" \
     --seed-file "$root/heldout_seeds/$task.json" --episodes 100 \
-    --workers 1 --devices 0 --max-steps 1500 \
-    --output "$result_dir/eval_${task}.json"
+    --workers "$eval_workers" --devices 0 --max-steps 1500 \
+    --output "$result"
 done
 
 printf 'FORMAL_ALL5_EVALUATION_COMPLETE %s\n' "$method"