File size: 6,258 Bytes
2f48f4d | 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 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 | #!/usr/bin/env bash
set -euo pipefail
SCRIPT_DIR="$(cd -- "$(dirname -- "${BASH_SOURCE[0]}")" && pwd)"
REPO_ROOT="${SCRIPT_DIR}"
cd "${REPO_ROOT}"
export PYTHONPATH="${REPO_ROOT}:${PYTHONPATH:-}"
export UPSTREAM_SGL_ROOT="${UPSTREAM_SGL_ROOT:-/home/yf/snap/SGL}"
PYTHON_BIN=${PYTHON_BIN:-/home/yf/.conda/envs/sgl/bin/python}
GPU_ID=${GPU_ID:-0}
GUIDE_CHECKPOINT=${GUIDE_CHECKPOINT:-/home/yf/snap/data/yf/InternVL2-2B}
LARGE_CHECKPOINT=${LARGE_CHECKPOINT:-/home/yf/snap/data/yf/InternVL2-8B}
DATA_ROOT=${DATA_ROOT:-/home/yf/snap/data/yf}
TEXTVQA_ROOT=${TEXTVQA_ROOT:-/home/yf/snap/data/yf/textvqa}
OUT_ROOT=${OUT_ROOT:-"${REPO_ROOT}/outputs/shared_vision_ablation"}
RUN_PREFIX=${RUN_PREFIX:-textvqa_shared_vision_ablation}
PRUNE_LAYER=${PRUNE_LAYER:-0.0}
PRUNE_RATIOS=${PRUNE_RATIOS:-0.4}
CONSISTENCY_TOKEN_RATIO=${CONSISTENCY_TOKEN_RATIO:-0.05}
GUIDE_TEXT_MODE=${GUIDE_TEXT_MODE:-none}
GUIDE_TEXT_MAX_NEW_TOKENS=${GUIDE_TEXT_MAX_NEW_TOKENS:-12}
GUIDE_TEXT_TEMPERATURE=${GUIDE_TEXT_TEMPERATURE:-0.0}
PRUNE_SELECTION_MODE=${PRUNE_SELECTION_MODE:-topk}
SEED=${SEED:-0}
LIMIT=${LIMIT:-}
LOG_EVERY=${LOG_EVERY:-20}
DYNAMIC=${DYNAMIC:-1}
SAVE_REASONING=${SAVE_REASONING:-0}
SAVE_VISUAL_TOKEN_IMPORTANCE=${SAVE_VISUAL_TOKEN_IMPORTANCE:-0}
VISUAL_TOKEN_IMPORTANCE_TOPK=${VISUAL_TOKEN_IMPORTANCE_TOPK:-16}
USE_FLASH_ATTN=${USE_FLASH_ATTN:-0}
AUTO=${AUTO:-0}
LOAD_IN_8BIT=${LOAD_IN_8BIT:-0}
LOAD_IN_4BIT=${LOAD_IN_4BIT:-0}
ABLATION_MODES=${ABLATION_MODES:-question_only answer_only}
COMBINED_QUESTION_WEIGHT=${COMBINED_QUESTION_WEIGHT:-1.0}
COMBINED_ANSWER_WEIGHT=${COMBINED_ANSWER_WEIGHT:-1.0}
build_mode_args() {
local mode="$1"
case "${mode}" in
baseline)
printf '%s\n' \
--guide-question-attention-weight 1.0 \
--guide-answer-attention-weight 1.0
;;
question_only)
printf '%s\n' \
--guide-question-attention-weight 1.0 \
--guide-answer-attention-weight 0.0
;;
answer_only)
printf '%s\n' \
--guide-question-attention-weight 0.0 \
--guide-answer-attention-weight 1.0
;;
combined)
printf '%s\n' \
--guide-question-attention-weight "${COMBINED_QUESTION_WEIGHT}" \
--guide-answer-attention-weight "${COMBINED_ANSWER_WEIGHT}"
;;
*)
echo "Unsupported ablation mode: ${mode}" >&2
return 1
;;
esac
}
run_one() {
local mode="$1"
local prune_ratio="$2"
local ratio_tag
ratio_tag="$(printf '%s' "${prune_ratio}" | tr '.' 'p')"
local run_name="${RUN_PREFIX}_${mode}_prune${ratio_tag}"
local out_dir="${OUT_ROOT}/${run_name}"
local log_path="${out_dir}/${run_name}.log"
mkdir -p "${out_dir}"
mapfile -t mode_args < <(build_mode_args "${mode}")
{
echo "start_time=$(date '+%Y-%m-%d %H:%M:%S')"
echo "mode=${mode}"
echo "gpu_id=${GPU_ID}"
echo "guide_checkpoint=${GUIDE_CHECKPOINT}"
echo "large_checkpoint=${LARGE_CHECKPOINT}"
echo "data_root=${DATA_ROOT}"
echo "textvqa_root=${TEXTVQA_ROOT}"
echo "prune_layer=${PRUNE_LAYER}"
echo "prune_ratio=${prune_ratio}"
echo "prune_selection_mode=${PRUNE_SELECTION_MODE}"
echo "consistency_token_ratio=${CONSISTENCY_TOKEN_RATIO}"
echo "guide_text_mode=${GUIDE_TEXT_MODE}"
echo "guide_text_max_new_tokens=${GUIDE_TEXT_MAX_NEW_TOKENS}"
echo "guide_text_temperature=${GUIDE_TEXT_TEMPERATURE}"
echo "combined_question_weight=${COMBINED_QUESTION_WEIGHT}"
echo "combined_answer_weight=${COMBINED_ANSWER_WEIGHT}"
echo "seed=${SEED}"
if [[ -n "${LIMIT}" ]]; then
echo "limit=${LIMIT}"
fi
echo
} >> "${log_path}"
local extra_args=()
if [[ "${DYNAMIC}" == "1" ]]; then
extra_args+=(--dynamic)
fi
if [[ -n "${LIMIT}" ]]; then
extra_args+=(--limit "${LIMIT}")
fi
if [[ "${GUIDE_TEXT_MODE}" != "none" ]]; then
extra_args+=(
--guide-text-mode "${GUIDE_TEXT_MODE}"
--guide-text-max-new-tokens "${GUIDE_TEXT_MAX_NEW_TOKENS}"
--guide-text-temperature "${GUIDE_TEXT_TEMPERATURE}"
)
fi
if [[ "${SAVE_REASONING}" == "1" ]]; then
extra_args+=(--save-reasoning)
fi
if [[ "${SAVE_VISUAL_TOKEN_IMPORTANCE}" == "1" ]]; then
extra_args+=(
--save-visual-token-importance
--visual-token-importance-topk "${VISUAL_TOKEN_IMPORTANCE_TOPK}"
)
fi
if [[ "${USE_FLASH_ATTN}" == "1" ]]; then
extra_args+=(--use-flash-attn)
fi
if [[ "${AUTO}" == "1" ]]; then
extra_args+=(--auto)
fi
if [[ "${LOAD_IN_8BIT}" == "1" ]]; then
extra_args+=(--load-in-8bit)
fi
if [[ "${LOAD_IN_4BIT}" == "1" ]]; then
extra_args+=(--load-in-4bit)
fi
CUDA_VISIBLE_DEVICES="${GPU_ID}" \
"${PYTHON_BIN}" "${REPO_ROOT}/eval/vqa/run_shared_vision_guided_textvqa.py" \
--guide-checkpoint "${GUIDE_CHECKPOINT}" \
--large-checkpoint "${LARGE_CHECKPOINT}" \
--data-root "${DATA_ROOT}" \
--textvqa-root "${TEXTVQA_ROOT}" \
--out-dir "${out_dir}" \
--run-name "${run_name}" \
--log-every "${LOG_EVERY}" \
--large-model-prune-layer "${PRUNE_LAYER}" \
--large-model-prune-ratio "${prune_ratio}" \
--large-model-prune-selection "${PRUNE_SELECTION_MODE}" \
--consistency-token-ratio "${CONSISTENCY_TOKEN_RATIO}" \
--seed "${SEED}" \
"${extra_args[@]}" \
"${mode_args[@]}" \
>> "${log_path}" 2>&1
}
IFS=' ' read -r -a ablation_modes <<< "${ABLATION_MODES}"
IFS=' ' read -r -a prune_ratios <<< "${PRUNE_RATIOS}"
for prune_ratio in "${prune_ratios[@]}"; do
for mode in "${ablation_modes[@]}"; do
echo "Running mode=${mode} prune_ratio=${prune_ratio}"
run_one "${mode}" "${prune_ratio}"
done
done
echo
echo "Ablation runs finished. Summaries under: ${OUT_ROOT}"
echo "To compare results:"
echo "\"${PYTHON_BIN}\" \"${REPO_ROOT}/tools/summarize_shared_vision_ablation.py\" --input-dir \"${OUT_ROOT}\""
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