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#!/bin/bash
# Queue 5: wait for P2s (pid 51702) -> MQ-soft (32k states) -> MQ-large (128k states, soft) -> E5-proc.
cd /workspace/think-decide
export PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True
while kill -0 51702 2>/dev/null; do sleep 15; done
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
python src/mq.py train --out runs/mqlarge --soft --n-states 128000 > logs/mqlarge_train.log 2>&1
python src/mq.py eval --model runs/mqlarge/model.safetensors --out runs/mqlarge/test --soft-k 4 --compile > logs/mqlarge_eval.log 2>&1
scripts/run_e5_proc.sh > logs/p5_run.out 2>&1
echo QUEUE5_DONE > logs/queue5.done

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