fix: slurm job for parallel conversion on nodes

examples/behavior_1k/convert.slurm

@@ -6,11 +6,14 @@
 #SBATCH -c 1                     # CPUs per conversion (tune as needed)
 #SBATCH -t 2:00:00               # Time per conversion
 #SBATCH --mem=3G                 # ~1.75GB for task 0, ~doubled for safety
-#SBATCH -o logs/%x-%A_%a.out     # per-task logs
-#SBATCH -e logs/%x-%A_%a.err
+#SBATCH -D /admin/home/francesco_capuano/lerobot
+#SBATCH -o /admin/home/francesco_capuano/lerobot/examples/behavior_1k/logs/%x-%A_%a.out
+#SBATCH -e /admin/home/francesco_capuano/lerobot/examples/behavior_1k/logs/%x-%A_%a.err
 
 set -euo pipefail
-export OMP_NUM_THREADS=$SLURM_CPUS_PER_TASK  # avoid BLAS oversubscription
+set -x
+export PYTHONUNBUFFERED=1
+export OMP_NUM_THREADS=${SLURM_CPUS_PER_TASK:-1}  # avoid BLAS oversubscription
 
 DATA_PATH="/fsx/francesco_capuano/.cache/behavior-1k/2025-challenge-demos"
 BASE_OUT="/fsx/francesco_capuano/behavior1k"
@@ -20,11 +23,16 @@ i="${SLURM_ARRAY_TASK_ID}"
 OUT_DIR="$(printf "%s/behavior1k-task%04d" "$BASE_OUT" "$i")"
 
 # activate your env if needed
-source ~/.bashrc
+source "$HOME/.bashrc" 2>/dev/null || true
+if ! command -v conda >/dev/null 2>&1; then
+  source "$HOME/miniconda3/etc/profile.d/conda.sh" 2>/dev/null || true
+  source "$HOME/anaconda3/etc/profile.d/conda.sh" 2>/dev/null || true
+fi
 conda activate lerobot
 
 python examples/behavior_1k/convert_to_lerobot_v3.py \
   --data-path "$DATA_PATH" \
   --new-repo "$OUT_DIR" \
   --task-id "$i" \
-  --force-conversion
+  --force-conversion \
+  --push-to-hub