#!/bin/bash
# Gemma 4 31B runs that need special serving on Hopper (SM90):
#   FlashInfer has no mm_prefix (bidirectional image attention) support on SM90, and NVFP4 KV exists only
#   in FlashInfer, so BF16-FI and FP4 are served text-only (--language-model-only): RULER + MRCR, no DocVQA.
#   FP8 KV with images needs the TRITON_FLASH_ATTN composite (image prefills -> Triton, text -> FA3/FA4);
#   BF16-TFA reruns DocVQA on the same composite as FP8's matched DocVQA baseline.
# Usage: gemma_rest.sh fa    (GPU 0, after after_tb.sh finishes there)
#        gemma_rest.sh fi    (GPU 1)
cd ~/bench
export KVQ_MODEL=~/models/gemma-4-31B-it KVQ_NAME=google/gemma-4-31B-it KVQ_REASONING_PARSER=gemma4 \
  KVQ_MAX_LEN=262144 KVQ_EXTRA_BODY='{"chat_template_kwargs":{"enable_thinking":true}}' \
  KVQ_DATA=data_gemma KVQ_EXP_OUT=exp2_gemma KVQ_MRCR_OUT=mrcr_gemma
case $1 in
  fa)
    export GPU=0 PORT=8000
    until grep -q "AFTER_TB_DONE GPU0" ~/bench/after_tb_gpu0.log; do sleep 120; done
    KVQ_BACKEND=TRITON_FLASH_ATTN MRCR=1 ./exp2.sh FP8 FP8
    KVQ_BACKEND=TRITON_FLASH_ATTN LENS="" ./exp2.sh BF16-TFA BF16
    ;;
  fi)
    export GPU=1 PORT=8001 KVQ_SERVE_ARGS=--language-model-only KVQ_DOCVQA=0 MRCR=1
    ./exp2.sh BF16-FI BF16-FI
    ./exp2.sh FP4 FP4
    ;;
esac
echo "GEMMA_REST_DONE $1 $(date -u)"