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#!/bin/bash
# Queue 4 (no gates anywhere): MQ (hard answer diffusion) -> P2s (soft-token slots, fixed weight 1) -> MQ-soft -> E5-proc.
cd /workspace/think-decide
export PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True
python src/mq.py train --out runs/mq > logs/mq_train.log 2>&1
python src/mq.py eval --model runs/mq/model.safetensors --out runs/mq/test --compile > logs/mq_eval.log 2>&1
scripts/run_proc_arm.sh p2s --n-think 32 --k-choices 1,2,4,8 --budget 36000 --fb-mode soft --gate-init 1.0 --gate-fixed > logs/p2s_run.out 2>&1
python src/mq.py train --out runs/mqsoft --soft > logs/mqsoft_train.log 2>&1
python src/mq.py eval --model runs/mqsoft/model.safetensors --out runs/mqsoft/test --soft-k 4 --compile > logs/mqsoft_eval.log 2>&1
scripts/run_e5_proc.sh > logs/p5_run.out 2>&1
echo QUEUE4_DONE > logs/queue4.done

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