fairtalking-second-work / scripts /batch_test_cta_ablation_diffusion_combined.sh
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#!/usr/bin/env bash
# Batch evaluation for CTA ablation variants TRAINED on the diffusion+HDTF
# COMBINED split (produced by scripts/train_cta_combined_ablation.sh, which
# writes experiment_name=cta_ablation_diffusion_combined_<VARIANT>).
#
# This is the combined-split analogue of batch_test_cta_ablation_diffusion.sh.
# Only three things differ:
# * run-dir discovery glob: cta_ablation_diffusion_combined_<VARIANT>_<TS>
# * variant extraction from --run-dir is done by matching against the known
# variant list (naive `[^_]+` doesn't work — variant names contain
# underscores, e.g. A2_no_asym, M6_drop_audio_infer).
# * output subdir tag: diffusion_combined_ablation_<TS>/
#
# For each variant, picks 4 ckpts (top-3 by valauc + last) and runs
# inference on 6 datasets:
#
# ours_sadtalker — held-out 3DMM family from FairTalking test split (SadTalker)
# ours_edtalk — held-out AE/VAE family from FairTalking test split (EDTalk)
# ours_float — held-out Flow-Matching family from FairTalking test split
# thb — TalkingHeadBench (cross-source)
# ff++ — FaceForensics++ (cross-source)
# mmdf — MMDF (cross-source)
#
# Fairness metrics (race4) are emitted only for the three `ours_*` datasets.
#
# Output layout:
# outputs/cta_test_result/diffusion_combined_ablation_<TS>/
# ├── results.csv one row per (variant, ckpt, dataset)
# ├── logs/<variant>__<kind>__<dataset>.log
# └── runs/<variant>/<kind>__<dataset>__<ts>/ one subdir per inference run
#
# Usage:
# bash scripts/batch_test_cta_ablation_diffusion_combined.sh
# bash scripts/batch_test_cta_ablation_diffusion_combined.sh --group M
# bash scripts/batch_test_cta_ablation_diffusion_combined.sh A1_full M3_intra_modal
# bash scripts/batch_test_cta_ablation_diffusion_combined.sh --datasets ours_sadtalker ours_float
# bash scripts/batch_test_cta_ablation_diffusion_combined.sh --num-top 1
# bash scripts/batch_test_cta_ablation_diffusion_combined.sh --dry-run
# bash scripts/batch_test_cta_ablation_diffusion_combined.sh --run-dir outputs/cta_ablation_diffusion_combined_A2_no_asym_20260708_141953
set -eo pipefail
cd "$(dirname "$0")/.."
[ -f .env ] && set -a && . ./.env && set +a
# ---- python interpreter resolution -----------------------------------------
resolve_python() {
if [[ -n "${PY:-}" ]] && "$PY" -c 'import hydra' >/dev/null 2>&1; then
echo "$PY"; return
fi
if command -v python3 >/dev/null 2>&1 && python3 -c 'import hydra' >/dev/null 2>&1; then
command -v python3; return
fi
if [[ -x /opt/conda/envs/av/bin/python3 ]] && \
/opt/conda/envs/av/bin/python3 -c 'import hydra' >/dev/null 2>&1; then
echo "/opt/conda/envs/av/bin/python3"; return
fi
cat <<EOF >&2
[ablation-combined-test] FATAL: cannot find a python interpreter with hydra installed.
Activate the project env (e.g. conda activate pytorch) or pass PY=/path/to/python3.
EOF
exit 1
}
PY="$(resolve_python)"
echo "[ablation-combined-test] using python: $PY"
OUTPUT_DIR="outputs"
TIMESTAMP="$(date +%Y%m%d_%H%M%S)"
TEST_RESULT_ROOT="outputs/cta_test_result"
BATCH_DIR="${TEST_RESULT_ROOT}/diffusion_combined_ablation_${TIMESTAMP}"
RESULTS_CSV="${BATCH_DIR}/results.csv"
LOG_DIR="${BATCH_DIR}/logs"
RUNS_DIR="${BATCH_DIR}/runs"
mkdir -p "$LOG_DIR" "$RUNS_DIR"
# ---- variant universe -------------------------------------------------------
ALL_VARIANTS=(
A1_full A2_no_asym A3_no_ltotal A4_asym_only A5_pooled_only
B1_real_only B2_all_samples B3_no_predictor
C1_no_loss_asym C2_no_loss_aux C3_no_loss_av C4_no_loss_va C5_no_detach
D1_depth_1 D2_depth_4 D3_depth_8 D4_mlp_predictor D5_shared_predictor
E1_video_freeze_0 E2_video_freeze_07 E3_video_freeze_10
F1_audio_freeze_0 F2_audio_freeze_08
G2_random_crop
M1_video_only M2_audio_only M3_intra_modal M4_noise_target M5_shuffle_pair
M6_drop_audio_infer M7_drop_video_infer
)
declare -A GROUP_VARIANTS
GROUP_VARIANTS[A]="A1_full A2_no_asym A3_no_ltotal A4_asym_only A5_pooled_only"
GROUP_VARIANTS[B]="B1_real_only B2_all_samples B3_no_predictor"
GROUP_VARIANTS[C]="C1_no_loss_asym C2_no_loss_aux C3_no_loss_av C4_no_loss_va C5_no_detach"
GROUP_VARIANTS[D]="D1_depth_1 D2_depth_4 D3_depth_8 D4_mlp_predictor D5_shared_predictor"
GROUP_VARIANTS[E]="E1_video_freeze_0 E2_video_freeze_07 E3_video_freeze_10"
GROUP_VARIANTS[F]="F1_audio_freeze_0 F2_audio_freeze_08"
GROUP_VARIANTS[G]="G2_random_crop"
GROUP_VARIANTS[M]="M1_video_only M2_audio_only M3_intra_modal M4_noise_target M5_shuffle_pair M6_drop_audio_infer M7_drop_video_infer"
# ---- args -------------------------------------------------------------------
VARIANTS=()
DATASETS=("ours_sadtalker" "ours_edtalk" "ours_float" "thb" "ff++" "mmdf")
GROUP=""
DRY_RUN=false
NUM_TOP=3
SKIP_LAST=false
SPECIFIC_RUN_DIR=""
while [[ $# -gt 0 ]]; do
case "$1" in
--group) GROUP="$2"; shift 2 ;;
--datasets)
shift
DATASETS=()
while [[ $# -gt 0 && "$1" != --* ]]; do DATASETS+=("$1"); shift; done
;;
--num-top) NUM_TOP="$2"; shift 2 ;;
--no-last) SKIP_LAST=true; shift ;;
--dry-run) DRY_RUN=true; shift ;;
--run-dir) SPECIFIC_RUN_DIR="$2"; shift 2 ;;
-h|--help) grep -E '^#( |$)' "$0" | sed 's/^# \?//'; exit 0 ;;
--*) echo "Unknown flag: $1"; exit 1 ;;
*) VARIANTS+=("$1"); shift ;;
esac
done
if [[ -n "$SPECIFIC_RUN_DIR" ]]; then
if [[ ! -d "$SPECIFIC_RUN_DIR" ]]; then
echo "Error: Run directory does not exist: $SPECIFIC_RUN_DIR"; exit 1
fi
# Match against known variant names — variant names themselves contain
# underscores, so a `[^_]+` regex would silently pick the wrong prefix.
# Basename form: cta_ablation_diffusion_combined_<VARIANT>_YYYYMMDD_HHMMSS
RUN_DIR_BASENAME=$(basename "$SPECIFIC_RUN_DIR")
VARIANT_FROM_DIR=""
for _v in "${ALL_VARIANTS[@]}"; do
if [[ "$RUN_DIR_BASENAME" =~ _${_v}_[0-9]{8}_[0-9]{6}$ ]] || \
[[ "$RUN_DIR_BASENAME" == *"_${_v}" ]]; then
# Prefer the longest match so e.g. A1_full beats a hypothetical A1.
if [[ ${#_v} -gt ${#VARIANT_FROM_DIR} ]]; then
VARIANT_FROM_DIR="$_v"
fi
fi
done
if [[ -z "$VARIANT_FROM_DIR" ]]; then
echo "Error: Could not extract a known variant name from run directory: $SPECIFIC_RUN_DIR"
echo " basename: $RUN_DIR_BASENAME"
echo " expected form: cta_ablation_diffusion_combined_<VARIANT>_YYYYMMDD_HHMMSS"
exit 1
fi
echo "[ablation-combined-test] extracted variant '$VARIANT_FROM_DIR' from $RUN_DIR_BASENAME"
VARIANTS=("$VARIANT_FROM_DIR")
elif [[ -n "$GROUP" ]]; then
if [[ -z "${GROUP_VARIANTS[$GROUP]+_}" ]]; then
echo "Unknown group: $GROUP. Valid: A B C D E F G M"; exit 1
fi
for v in ${GROUP_VARIANTS[$GROUP]}; do VARIANTS+=("$v"); done
fi
if [[ ${#VARIANTS[@]} -eq 0 ]]; then
VARIANTS=("${ALL_VARIANTS[@]}")
fi
echo "============================================================"
echo "[ablation-combined-test] start: $(date '+%Y-%m-%d %H:%M:%S')"
echo "[ablation-combined-test] timestamp: $TIMESTAMP"
echo "[ablation-combined-test] results CSV: $RESULTS_CSV"
echo "[ablation-combined-test] per-run logs: $LOG_DIR/"
echo "[ablation-combined-test] variants: ${VARIANTS[*]}"
echo "[ablation-combined-test] datasets: ${DATASETS[*]}"
echo "[ablation-combined-test] num_top: $NUM_TOP (+ last.ckpt)"
if [[ -n "$SPECIFIC_RUN_DIR" ]]; then
echo "[ablation-combined-test] specific run dir: $SPECIFIC_RUN_DIR"
fi
$DRY_RUN && echo "[ablation-combined-test] DRY RUN: will only show what would be tested"
echo "============================================================"
echo "variant,group,dataset,ckpt_name,ckpt_kind,test_acc,test_auc,test_ap,test_acc_at_eer,F_FPR,F_OAE,F_DP,F_MEO,run_dir,test_out_dir,predictions_csv,timestamp" > "$RESULTS_CSV"
# ---- helpers ----------------------------------------------------------------
group_of() {
case "$1" in
A*) echo A ;; B*) echo B ;; C*) echo C ;; D*) echo D ;;
E*) echo E ;; F*) echo F ;; G*) echo G ;; M*) echo M ;;
*) echo "?" ;;
esac
}
# Find the most-recent combined-diffusion-trained run dir for a variant.
# Combined split writes cta_ablation_diffusion_combined_<VARIANT>_<TS>.
find_latest_run_dir() {
local variant="$1"
local match
match=$(ls -d "$OUTPUT_DIR"/cta_ablation_diffusion_combined_${variant}_* 2>/dev/null \
| grep -E "/cta_ablation_diffusion_combined_${variant}_[0-9]{8}_[0-9]{6}$" \
| sort -r | head -1 || true)
if [[ -n "$match" ]]; then
echo "$match"; return
fi
local exact="$OUTPUT_DIR/cta_ablation_diffusion_combined_${variant}"
if [[ -d "$exact" ]]; then echo "$exact"; return; fi
echo ""
}
# Map dataset name -> hydra data config.
data_cfg_for() {
case "$1" in
ours_sadtalker) echo "fairtalking_test_sadtalker" ;;
ours_edtalk) echo "fairtalking_test_edtalk" ;;
ours_float) echo "fairtalking_test_float" ;;
thb) echo "fairtalking_thb" ;;
ff++) echo "fairtalking_ffpp" ;;
mmdf) echo "fairtalking_mmdf" ;;
hdtf) echo "fairtalking_hdtf_paired" ;;
*) echo ""; return 1 ;;
esac
}
dataset_has_fairness() {
case "$1" in
ours_*) return 0 ;;
*) return 1 ;;
esac
}
extract_metric() {
local key="$1" output="$2"
echo "$output" \
| grep -E "${key}[[:space:]]" \
| tail -1 \
| awk '{
for (i = NF; i >= 1; i--) {
if ($i ~ /^-?[0-9.]+$/) { print $i; exit }
}
}' \
| tr -d '\r'
}
extract_kv() {
local out="$1" key="$2"
echo "$out" | tr ' ' '\n' | awk -F= -v k="$key" '$1==k {print $2; exit}' | tr -d '\r'
}
extract_fairness() {
local csv="$1" key="$2"
[[ -f "$csv" ]] || { echo ""; return; }
awk -F, -v k="$key" '$1=="summary" && $(NF-1)==k {print $NF; exit}' "$csv" | tr -d '\r'
}
pick_ckpts() {
local run_dir="$1" num_top="$2" skip_last="${3:-false}"
local ckpt_dir="$run_dir/checkpoints"
[[ -d "$ckpt_dir" ]] || return 0
local top
top=$(ls -1 "$ckpt_dir"/*.ckpt 2>/dev/null | grep -v '/last\.ckpt$' | sort -r || true)
if [[ -n "$top" ]]; then
local i=1
while IFS= read -r p; do
[[ -z "$p" ]] && continue
echo "top${i}:$p"; i=$((i + 1))
if (( i > num_top )); then break; fi
done <<< "$top"
fi
if [[ "$skip_last" != "true" ]] && [[ -f "$ckpt_dir/last.ckpt" ]]; then
echo "last:$ckpt_dir/last.ckpt"
fi
}
run_one_test() {
local variant="$1" ckpt="$2" ckpt_kind="$3" dataset="$4" run_dir="$5"
local data_cfg ts log_path pred_csv test_out_dir out rc grp acc auc extra ap acc_eer
local f_fpr f_oae f_dp f_meo
grp=$(group_of "$variant")
data_cfg=$(data_cfg_for "$dataset") || true
if [[ -z "$data_cfg" ]]; then
echo "$variant,$grp,$dataset,$(basename "$ckpt"),$ckpt_kind,UNKNOWN_DATASET,N/A,N/A,N/A,,,,,$run_dir,,,$TIMESTAMP"
return
fi
ts="$(date +%Y%m%d_%H%M%S)"
test_out_dir="${RUNS_DIR}/${variant}/${ckpt_kind}__${dataset}__${ts}"
mkdir -p "$test_out_dir"
pred_csv="${test_out_dir}/test_predictions.csv"
log_path="$LOG_DIR/${variant}__${ckpt_kind}__${dataset}.log"
if $DRY_RUN; then
echo "$variant,$grp,$dataset,$(basename "$ckpt"),$ckpt_kind,DRY,DRY,DRY,DRY,,,,,$run_dir,$test_out_dir,$pred_csv,$ts"
return
fi
set +e
out=$("$PY" src/train.py \
method=cta_ablation \
method.ablation_variant="$variant" \
data="$data_cfg" \
trainer=ddp \
backbone=timesformer \
+test_only=true \
+test_ckpt="$ckpt" \
+test_predictions_csv="$pred_csv" \
output_dir="$test_out_dir" \
hydra.run.dir="$test_out_dir/hydra" \
experiment_name="cta_ablation_diffusion_combined_${variant}_test_${dataset}_${ckpt_kind}" \
2>&1)
rc=$?
set -e
echo "$out" > "$log_path"
if [[ $rc -ne 0 ]]; then
echo "$variant,$grp,$dataset,$(basename "$ckpt"),$ckpt_kind,ERROR_RC${rc},ERROR_RC${rc},ERROR_RC${rc},ERROR_RC${rc},,,,,$run_dir,$test_out_dir,$pred_csv,$ts"
return
fi
acc=$(extract_metric "test/acc" "$out"); acc=${acc:-N/A}
auc=$(extract_metric "test/auc" "$out"); auc=${auc:-N/A}
ap="N/A"; acc_eer="N/A"
if [[ -f "$pred_csv" ]]; then
set +e
extra=$("$PY" scripts/compute_extra_metrics.py "$pred_csv" 2>/dev/null)
if [[ $? -eq 0 ]]; then
ap=$(extract_kv "$extra" "ap"); ap=${ap:-N/A}
acc_eer=$(extract_kv "$extra" "acc_at_eer"); acc_eer=${acc_eer:-N/A}
fi
set -e
fi
f_fpr=""; f_oae=""; f_dp=""; f_meo=""
if dataset_has_fairness "$dataset"; then
local fairness_csv="${pred_csv%.csv}_fairness.csv"
f_fpr=$(extract_fairness "$fairness_csv" "F_FPR")
f_oae=$(extract_fairness "$fairness_csv" "F_OAE")
f_dp=$(extract_fairness "$fairness_csv" "F_DP")
f_meo=$(extract_fairness "$fairness_csv" "F_MEO")
fi
echo "$variant,$grp,$dataset,$(basename "$ckpt"),$ckpt_kind,$acc,$auc,$ap,$acc_eer,$f_fpr,$f_oae,$f_dp,$f_meo,$run_dir,$test_out_dir,$pred_csv,$ts"
}
# ---- main loop --------------------------------------------------------------
for variant in "${VARIANTS[@]}"; do
grp=$(group_of "$variant")
if [[ -n "$SPECIFIC_RUN_DIR" ]]; then
run_dir="$SPECIFIC_RUN_DIR"
echo ""
echo "============================================================"
echo "[$variant] Using specific run dir: $run_dir"
echo "============================================================"
else
run_dir=$(find_latest_run_dir "$variant")
if [[ -z "$run_dir" ]]; then
echo ""
echo "[$variant] NO combined-diffusion-trained run dir found (looked for outputs/cta_ablation_diffusion_combined_${variant}_*); skipping all combos"
for ds in "${DATASETS[@]}"; do
echo "$variant,$grp,$ds,NO_RUN_DIR,N/A,N/A,N/A,N/A,N/A,,,,,,,,$TIMESTAMP" >> "$RESULTS_CSV"
done
continue
fi
fi
mapfile -t CKPTS < <(pick_ckpts "$run_dir" "$NUM_TOP" "$SKIP_LAST")
if [[ ${#CKPTS[@]} -eq 0 ]]; then
echo ""
echo "[$variant] NO checkpoints in $run_dir/checkpoints; skipping"
for ds in "${DATASETS[@]}"; do
echo "$variant,$grp,$ds,NO_CKPT,N/A,N/A,N/A,N/A,N/A,,,,,$run_dir,,,$TIMESTAMP" >> "$RESULTS_CSV"
done
continue
fi
echo ""
echo "============================================================"
echo "[$variant] run dir: $run_dir"
echo "[$variant] checkpoints to test (kind:path):"
for kp in "${CKPTS[@]}"; do echo " - $kp"; done
echo "============================================================"
for kp in "${CKPTS[@]}"; do
ckpt_kind="${kp%%:*}"
ckpt_path="${kp#*:}"
for ds in "${DATASETS[@]}"; do
echo ""
echo "[$(date '+%H:%M:%S')] [$variant] [$ckpt_kind] [$ds] -> $(basename "$ckpt_path")"
row=$(run_one_test "$variant" "$ckpt_path" "$ckpt_kind" "$ds" "$run_dir")
echo " -> $row"
echo "$row" >> "$RESULTS_CSV"
done
done
done
echo ""
echo "============================================================"
echo "[ablation-combined-test] end: $(date '+%Y-%m-%d %H:%M:%S')"
echo "[ablation-combined-test] CSV: $RESULTS_CSV"
echo "[ablation-combined-test] logs: $LOG_DIR/"
echo "============================================================"
echo ""
echo "Quick preview (first 30 rows):"
if command -v column >/dev/null 2>&1; then
head -30 "$RESULTS_CSV" | column -t -s,
else
head -30 "$RESULTS_CSV"
fi