export -f only exports the function definition, not the variables it
references. MODEL_PATH and RESULT_BASE were empty inside timeout bash -c
subshells, causing docker run -v ::ro invalid spec. Add explicit export
for all variables used by run_bench_serving().
export -f only exports the function definition, not the variables it
references. DATASET_PATH was empty inside timeout bash -c subshells,
causing docker run -v ::ro invalid spec even after the dynamic vol_args
fix. Add explicit export after sourcing config.env.
When DATASET_PATH is empty, -v ::ro is passed to docker run, which
produces 'invalid spec: ::ro: empty section between colons'. Build
the volume args dynamically and only add the dataset mount when the
path is non-empty.
timeout(1) cannot execute shell functions directly; it needs a standalone
command. Export run_bench_serving via export -f and wrap both warmup and
scenario runs in bash -c so the function is visible in the subshell.
- config.env: switch to /data/models/DeepSeek-V4-Flash, USE_DOCKER=1,
CONTEXT_LENGTH=1M, CONCURRENCY_SAMPLES=2, add DATASET_PATH.
- start_sglang_docker.sh: add --ipc host --shm-size 16g for NCCL.
- start_sglang_dp.sh: use --model-path for Docker CLI.
- run_bench.sh: mount dataset into client container and pass --dataset-path
to avoid HF download on offline nodes.
