File size: 2,801 Bytes
d79aee0 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 | #!/bin/bash
# SR Training + Auto-backup for VPS 2x H100
# This script runs on the 2-GPU VPS:
# - Stage 2: SR 1K→2K
# - Stage 3: SR 2K→4K (after Stage 2 converges)
# - Auto-backup to HuggingFace every 30 minutes
#
# Usage: bash scripts/training/run_train_sr_2gpu.sh <hf_token>
set -e
HF_TOKEN=${1:-""}
PROJECT_DIR="/home/adminuser/chungcat"
if [ -z "$HF_TOKEN" ]; then
echo "Usage: bash scripts/training/run_train_sr_2gpu.sh <hf_token>"
exit 1
fi
# Login HuggingFace
echo "=== Logging into HuggingFace ==="
python3 -c "from huggingface_hub import login; login(token='$HF_TOKEN')"
HF_USER=$(python3 -c "from huggingface_hub import HfApi; print(HfApi().whoami()['name'])")
echo "Logged in as: $HF_USER"
# Start auto-backup in background
echo "=== Starting auto-backup (every 30 min) ==="
pkill -f "backup.py --auto" 2>/dev/null || true
nohup python3 "$PROJECT_DIR/scripts/backup.py" --auto --interval 30 --user "$HF_USER" \
> "$PROJECT_DIR/logs/backup.log" 2>&1 &
echo "Auto-backup PID: $!"
# Create SR pairs if not exist
SR_PAIRS="$PROJECT_DIR/data/processed/sr_pairs"
if [ ! -d "$SR_PAIRS/1k_input" ] || [ $(ls "$SR_PAIRS/1k_input"/*.png 2>/dev/null | wc -l) -lt 100 ]; then
echo "=== Creating SR pairs from 4K images ==="
python3 "$PROJECT_DIR/scripts/data_collection/create_sr_pairs.py" \
--input-dir "$PROJECT_DIR/data/processed/sr_4k/shards" \
--output-dir "$SR_PAIRS" 2>&1 | tail -5
fi
# Train Stage 2: 1K→2K on GPU 0
echo "=== Starting SR Stage 2 (1K→2K) on GPU 0 ==="
export CUDA_VISIBLE_DEVICES=0
nohup python3 "$PROJECT_DIR/scripts/training/train_sr.py" \
--stage 2 \
--input-dir "$SR_PAIRS/1k_input" \
--target-dir "$SR_PAIRS/2k_target" \
--output-dir "$PROJECT_DIR/checkpoints/sr_stage2" \
--batch-size 4 \
--learning-rate 2e-4 \
--max-steps 200000 \
--save-steps 10000 \
--base-channels 64 \
--perceptual-weight 0.1 \
> "$PROJECT_DIR/logs/train_sr_stage2.log" 2>&1 &
echo "SR Stage 2 PID: $!"
# Train Stage 3: 2K→4K on GPU 1
echo "=== Starting SR Stage 3 (2K→4K) on GPU 1 ==="
export CUDA_VISIBLE_DEVICES=1
nohup python3 "$PROJECT_DIR/scripts/training/train_sr.py" \
--stage 3 \
--input-dir "$SR_PAIRS/2k_input" \
--target-dir "$SR_PAIRS/4k_target" \
--output-dir "$PROJECT_DIR/checkpoints/sr_stage3" \
--batch-size 2 \
--learning-rate 2e-4 \
--max-steps 200000 \
--save-steps 10000 \
--base-channels 64 \
--perceptual-weight 0.1 \
> "$PROJECT_DIR/logs/train_sr_stage3.log" 2>&1 &
echo "SR Stage 3 PID: $!"
echo ""
echo "=== All jobs started ==="
echo "Monitor:"
echo " tail -f $PROJECT_DIR/logs/train_sr_stage2.log"
echo " tail -f $PROJECT_DIR/logs/train_sr_stage3.log"
echo " tail -f $PROJECT_DIR/logs/backup.log"
echo " nvidia-smi"
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