scripts/run_scale256.sh

#!/bin/bash
# Scale the controlled ablation + deployable model to N=256, then recompute metrics.
# teacher/fq0/fq128 extend in place (skip existing); ours128_real regenerates (re-times).
set -e
export PYTHONPATH=.
export PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True
N=256
echo "### teacher"
python3 -u scripts/32_gen_eval.py teacher          outputs/eval/imgs/teacher            0 $N 512
echo "### plain NVFP4 r0"
python3 -u scripts/32_gen_eval.py fq:0             outputs/eval/imgs/pilot_fq0          0 $N 512
echo "### SVDQuant r128 (fake-q)"
python3 -u scripts/32_gen_eval.py fq:128           outputs/eval/imgs/pilot_fq128        0 $N 512
echo "### SVDQuant r128 (real kernel)"
python3 -u scripts/35_gen_real.py ours:128         outputs/eval/imgs/pilot_ours128_real ours128_256 0 $N 512
echo "### metrics @ N=256"
python3 -u scripts/34_metrics.py outputs/eval/imgs/teacher outputs/eval/imgs/mjhq_ref \
    outputs/eval/imgs/pilot_ours128_real outputs/eval/imgs/pilot_fq128 outputs/eval/imgs/pilot_fq0
echo "### SCALE256 ALL DONE"