#!/bin/bash
# Full experiment sweep. Each config reloads the model and quantises it
# layer-sequentially, then evaluates WikiText-2 perplexity.
set -u
cd "$(dirname "$0")/.."
N=32
S=2048
P=20

run () {
  echo "=========== $* ==========="
  python -u code/quant_model.py --nsamples $N --seqlen $S --ppl-limit $P "$@" 2>&1 \
    | grep -Ev "^Loading checkpoint|it/s\]$"
}

python -u code/quant_model.py --fp16 --seqlen $S --ppl-limit $P 2>&1 | tail -2

run --stages 3 --tag main15
run --stages 4 --tag main20
run --stages 2 --tag main10
run --stages 3 --alloc freq --spread 1 --tag freq15
run --stages 3 --no-ldlq --tag noldlq15
run --stages 3 --no-rht  --tag northt15
run --rtn 3 --tag rtn3
run --rtn 2 --tag rtn2
echo "ALL RUNS COMPLETE"