Upload job_entry.sh with huggingface_hub

job_entry.sh

@@ -1,12 +1,18 @@
 #!/usr/bin/env bash
-# Job entry script for HF Jobs. Runs inside the container.
-# /workspace is the read-only mount of the paper directory (contains repro.py + JustGRPO/).
+# Self-contained job entry script (no volume mount needed).
+# Clones JustGRPO from GitHub + downloads repro.py from HF dataset.
 set -e
 echo "=== Job started ==="
 nvidia-smi --query-gpu=name,memory.total --format=csv 2>/dev/null || echo "no nvidia-smi"
 echo "Python: $(python --version)"
 
-cd /workspace
+mkdir -p /workspace && cd /workspace
+
+echo "=== Cloning JustGRPO repo ==="
+git clone --depth 1 https://github.com/LeapLabTHU/JustGRPO 2>&1 | tail -2
+
+echo "=== Downloading repro.py + job_entry.sh from HF dataset ==="
+hf download feliksier/justgrpo-repro-code --repo-type dataset --local-dir /workspace 2>&1 | tail -3
 
 echo "=== Installing dependencies ==="
 pip install --no-input --quiet \
@@ -30,12 +36,6 @@ print('imports OK; math_equal test:', math_equal('42','42'))
 " 2>&1 | tail -10
 
 echo "=== Running repro (C1+C2+C3) ==="
-# Budget-safe subsets on A100:
-#   C1:  GSM8K 200 ex (parallel block_length=32)  ~ the 89.1% headline
-#   C2a: GSM8K 100 ex AR mode (block_length=1)   ~ parallel-decoding retained
-#   C2b: MATH-500 100 ex                          ~ math reasoning
-#   C2c: HumanEval 80 ex                           ~ coding reasoning
-#   C3:  Pass@k 20 problems, k=4, AR vs AO          ~ solution coverage collapse
 python repro.py --claim all \
   --ckpt_path nzl-thu/LLaDA-Instruct-JustGRPO-GSM8K \
   --math500_ckpt nzl-thu/LLaDA-Instruct-JustGRPO-Math500 \