Support accelerate training and add test configs for SmolVLA

- 2-GPU SLURM job (distributed training)
- 1-GPU local accelerate and direct training scripts
- Accelerate configs for 1-GPU and 2-GPU setups

test_accelerate_1gpu_local.sh

@@ -0,0 +1,45 @@
+#!/bin/bash
+
+echo "=== Local 1-GPU Accelerate Training Test with SmolVLA ==="
+echo "Environment: multi"
+echo "GPU: 1"
+echo "Steps: 50 (quick local test)"
+echo ""
+
+# Activate conda environment
+source /fsx/dana_aubakirova/miniconda3/etc/profile.d/conda.sh
+conda activate multi
+
+# Set CUDA environment for 1 GPU
+export CUDA_VISIBLE_DEVICES=0
+export PYTORCH_CUDA_ALLOC_CONF=max_split_size_mb:128,expandable_segments:True
+export TORCH_DISTRIBUTED_DEBUG=OFF
+export CUDA_LAUNCH_BLOCKING=0
+export TRANSFORMERS_NO_ADVISORY_WARNINGS=1
+
+# Change to working directory
+cd /fsx/dana_aubakirova/vla/pr/lerobot
+
+# Set output directory with timestamp
+export OUTPUT_DIR="outputs/test_accelerate_1gpu_local_$(date +%Y%m%d_%H%M%S)"
+
+echo "Output directory: $OUTPUT_DIR"
+echo ""
+
+# Test accelerate training with 1 GPU
+accelerate launch --config_file accelerate_configs/1gpu_config.yaml -m lerobot.scripts.train \
+    --policy.path=lerobot/smolvla_base \
+    --policy.push_to_hub=false \
+    --dataset.repo_id=lerobot/svla_so100_sorting \
+    --dataset.video_backend=pyav \
+    --steps=50 \
+    --save_freq=25 \
+    --log_freq=5 \
+    --batch_size=1 \
+    --num_workers=0 \
+    --output_dir=$OUTPUT_DIR \
+    --wandb.enable=false
+
+echo ""
+echo "=== Training completed! ==="
+echo "Check outputs in: $OUTPUT_DIR"