# FlowCache VBench configuration file
# Usage: bash scripts/sample/flowcache_vbench.sh <path_to_this_yaml>

# Basic configuration
benchmark: vbench
config_file: config/sample/10s_vbench.json

# GPU configuration
gpus: "1,3,4,6"

# VBench dataset configuration
vbench_prompt_dir: /path/to/vbench/prompts

# Dimension configuration (specify the current dimension to process)
dimension: overall_consistency  # Options: subject_consistency, scene, object_class, multiple_objects, color, spatial_relationship, temporal_style, human_action, temporal_flickering, appearance_style

# Output path configuration
base_save_path: /path/to/output/vbench

# Reuse strategy configuration
reuse_strategy: chunkwise
rel_l1_thresh: 0.01
warmup_steps: 5

# KV cache compression configuration
compress_kv_cache: true
total_cache_chunk_nums: 6
budget_cache_chunk_nums: 1
compress_strategy: token
query_granularity: chunk
mix_lambda: 0.07
discard_nearly_clean_chunk: true

# Log configuration
log: false