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#!/bin/bash
# TeaCache VBench sampling script
# Usage: bash teacache_vbench.sh [yaml_config_path]
# Default config: yaml_config/sample/teacache_vbench.yaml
export DEVICES="4,5,7"
export PAD_HQ=1
export PAD_DURATION=1
export PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True
export OFFLOAD_T5_CACHE=true
export OFFLOAD_VAE_CACHE=true
export TORCH_CUDA_ARCH_LIST="8.9;9.0"
MAGI_ROOT=$(git rev-parse --show-toplevel)
export PYTHONPATH="$MAGI_ROOT:$PYTHONPATH"
export MAGI_ROOT="$MAGI_ROOT"
# YAML config file path (can be overridden via command line argument)
YAML_CONFIG="${1:-yaml_config/sample/teacache_vbench.yaml}"
if [ ! -f "$YAML_CONFIG" ]; then
echo "โŒ YAML config file not found: $YAML_CONFIG"
exit 1
fi
echo "๐Ÿ“‹ Using YAML config: $YAML_CONFIG"
# Create log directory
LOG_DIR="./logs"
mkdir -p "$LOG_DIR"
LOG_FILE="$LOG_DIR/teacache_vbench_$(date +%Y%m%d_%H%M%S).log"
exec > >(tee -a "$LOG_FILE") 2>&1
echo "๐Ÿš€ Starting multi-GPU benchmark sampling"
echo "๐ŸŽฎ GPUs: $DEVICES"
# Define list of dimensions to process
DIMENSIONS=("overall_consistency" "subject_consistency" "scene")
echo "๐Ÿ”ข Total dimensions to process: ${#DIMENSIONS[@]}"
# Loop through each dimension
for DIMENSION in "${DIMENSIONS[@]}"; do
echo "๐Ÿ“Œ Processing dimension: $DIMENSION"
# Use Python to temporarily modify the dimension in YAML, then run sampling
python3 -c "
import yaml
import sys
# Read YAML config
with open('$YAML_CONFIG', 'r') as f:
config = yaml.safe_load(f)
# Modify dimension
config['dimension'] = '$DIMENSION'
# Save to temporary file
temp_config = '$YAML_CONFIG.tmp'
with open(temp_config, 'w') as f:
yaml.dump(config, f, default_flow_style=False)
print(temp_config)
" > /tmp/temp_config_path.txt
TEMP_CONFIG=$(cat /tmp/temp_config_path.txt)
python sample_video.py "$TEMP_CONFIG"
rm "$TEMP_CONFIG"
if [ $? -eq 0 ]; then
echo "โœ… Successfully completed: $DIMENSION"
else
echo "โŒ Failed: $DIMENSION"
echo "๐Ÿ›‘ Script paused due to error. Fix the issue and rerun."
exit 1
fi
echo "---"
done
echo "๐ŸŽ‰ All sampling tasks completed."