#!/usr/bin/env bash # Long-context matrix for SGLang on DeepSeek-V4-Flash-INT8 (Kunlun P800). set -Eeuo pipefail SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)" EXPERIMENT_NAME="$(basename "$SCRIPT_DIR")" # shellcheck source=/dev/null source "${SCRIPT_DIR}/../../scripts/common/lib.sh" # shellcheck source=/dev/null source "${SCRIPT_DIR}/../../scripts/common/platform.sh" # shellcheck source=/dev/null source "${SCRIPT_DIR}/../../scripts/common/server_docker.sh" # shellcheck source=/dev/null source "${SCRIPT_DIR}/../../scripts/common/bench_client_docker.sh" # shellcheck source=/dev/null source "${SCRIPT_DIR}/config.env" RUN_ID="${RUN_ID:-$(date '+%Y%m%d-%H%M%S')}" RESULT_BASE="${SCRIPT_DIR}/results" log_dir_global="${RESULT_BASE}/${RUN_ID}/logs" mkdir -p "$log_dir_global" log_init "${log_dir_global}/orchestrator.log" log "experiment=${EXPERIMENT_NAME}" log "run_id=${RUN_ID}" log "platform=${PLATFORM}" log "hardware=${HARDWARE}" log "model=${MODEL_PATH}" log "server_mode=${SERVER_MODE}" log "groups=${#CONTEXT_GROUPS[@]}" # --------------------------------------------------------------------------- # Helpers # --------------------------------------------------------------------------- is_server_healthy() { curl --fail --silent --show-error --max-time 5 "http://127.0.0.1:${PORT}/health" >/dev/null 2>&1 } start_server() { local context_length="$1" local max_running="$2" local extra_args="--context-length ${context_length} --max-running-requests ${max_running} --mem-fraction-static 0.85" export SGLANG_EXTRA_LAUNCH_ARGS="${SGLANG_EXTRA_LAUNCH_ARGS:-${extra_args}}" log "starting server (context_length=${context_length}, max_running=${max_running}, mode=${SERVER_MODE})" docker_server_start "${MODEL_PATH}" "${PORT}" "${log_dir_global}/server_${context_length}.outer.log" "${SERVER_MODE}" "${SGLANG_EXTRA_LAUNCH_ARGS}" } stop_server() { docker_server_stop } run_warmup() { local raw_dir="$1" local phase_log_dir="$2" local input_len="$3" local output_len="${4:-256}" log "warming up (input=${input_len}, output=${output_len}, num=1)" local tmp_warmup_file="/tmp/bench_outputs/${CHIP}_${ENGINE}_$(date '+%m%d')_warmup_1_${input_len}_${output_len}.jsonl" local host_warmup_file="${raw_dir}/${BACKEND}_warmup_$(date '+%m%d')_1_${input_len}_${output_len}.jsonl" local detail_log="${phase_log_dir}/warmup_${input_len}_${output_len}.log" if WARMUP=0 run_random_case \ "$BACKEND" "$PORT" "$MODEL_PATH" "$tmp_warmup_file" \ 1 "$input_len" "$output_len" 1 "${DATASET_PATH:-}" \ > "$detail_log" 2>&1; then docker cp "${CONTAINER_NAME}:${tmp_warmup_file}" "$host_warmup_file" 2>/dev/null || true log "warmup completed" else log "WARNING: warmup failed; continuing with group" fi } scenario_already_completed() { local output_file="$1" local expected="$2" [[ -s "$output_file" ]] || return 1 local completed completed="$(python3 -c " import json, sys path = sys.argv[1] try: with open(path, 'r', encoding='utf-8') as f: for line in f: line = line.strip() if line: data = json.loads(line) print(data.get('completed', 0)) break except Exception: print(0) " "$output_file")" [[ "${completed:-0}" -ge "$expected" ]] } run_group() { local group_label="$1" local context_length="$2" local max_running="$3" local -n scenarios_ref="$4" local result_root="${RESULT_BASE}/${RUN_ID}/${BACKEND}" local raw_dir="${result_root}/raw_outputs" local phase_log_dir="${result_root}/logs" mkdir -p "$raw_dir" "$phase_log_dir" log "===== ${BACKEND} ${group_label} START (context_length=${context_length}) =====" stop_server if ! start_server "$context_length" "$max_running"; then log "ERROR: server failed to start for ${group_label}; skipping group" stop_server return 1 fi # Warmup with the shortest output for this input length to save time. local warmup_input="${scenarios_ref[0]}" local warmup_input_len warmup_input_len="$(echo "$warmup_input" | awk '{print $2}')" run_warmup "$raw_dir" "$phase_log_dir" "$warmup_input_len" 256 for scenario in "${scenarios_ref[@]}"; do # Allow SCENARIOS to be passed as a string like "(25 65536 256 50)" from env. scenario="${scenario//[()]/}" read -r concurrency input_len output_len num_prompts <<< "$scenario" tmp_output_file="/tmp/bench_outputs/${CHIP}_${ENGINE}_$(date '+%m%d')_${concurrency}_${input_len}_${output_len}.jsonl" output_file="${raw_dir}/${BACKEND}_${group_label}_$(date '+%m%d')_${concurrency}_${input_len}_${output_len}.jsonl" detail_log="${phase_log_dir}/${BACKEND}_${group_label}_c${concurrency}_i${input_len}_o${output_len}.log" if scenario_already_completed "$output_file" "$num_prompts"; then log "skipping already-completed ${BACKEND} ${group_label} scenario: c=${concurrency} i=${input_len} o=${output_len}" continue fi log "running ${BACKEND} ${group_label} scenario: c=${concurrency} i=${input_len} o=${output_len} n=${num_prompts}" if run_random_case \ "$BACKEND" "$PORT" "$MODEL_PATH" "$tmp_output_file" \ "$concurrency" "$input_len" "$output_len" "$num_prompts" \ "${DATASET_PATH:-}" \ > "$detail_log" 2>&1; then docker cp "${CONTAINER_NAME}:${tmp_output_file}" "$output_file" || { log "ERROR: failed to copy ${tmp_output_file} from container" continue } log "finished ${BACKEND} ${group_label} scenario: output=${output_file}" else log "ERROR: ${BACKEND} ${group_label} scenario c=${concurrency} i=${input_len} o=${output_len} failed; see ${detail_log}" continue fi done stop_server log "===== ${BACKEND} ${group_label} DONE =====" } parse_backend() { local result_root="${RESULT_BASE}/${RUN_ID}/${BACKEND}" log "parsing ${BACKEND} results in ${result_root}" python3 "${SCRIPT_DIR}/../../scripts/common/parse_backend.py" "$result_root" --backend "$BACKEND" \ >> "${result_root}/logs/parse.log" 2>&1 || { log "WARNING: parser failed for ${BACKEND}; see ${result_root}/logs/parse.log" } } write_backend_metadata() { local result_root="${RESULT_BASE}/${RUN_ID}/${BACKEND}" ensure_result_root "$result_root" local meta_json="${result_root}/results.json" write_metadata_json \ "$meta_json" \ "${EXPERIMENT_NAME}_${BACKEND}" \ "$RUN_ID" \ "$MODEL_PATH" \ "$BACKEND" \ "$ENGINE" \ "$HARDWARE" \ "$ACCELERATOR" \ "$CHIP" \ "experiments/${EXPERIMENT_NAME}/run_bench.sh" \ "" \ "Kunlun P800 long-context matrix ${BACKEND} TP=8 for DeepSeek-V4-Flash-INT8" # Build groups JSON from CONTEXT_GROUPS. local groups_json="[" local first=1 for group in "${CONTEXT_GROUPS[@]}"; do read -r label context_length max_running <<< "$group" if [[ "$first" -eq 1 ]]; then first=0 else groups_json+="," fi groups_json+="{\"label\":\"${label}\",\"context_length\":${context_length},\"max_running\":${max_running}}" done groups_json+="]" # Embed config. python3 - "$meta_json" "$groups_json" <<'PY' >/dev/null import json import sys path = sys.argv[1] groups = json.loads(sys.argv[2]) with open(path, "r", encoding="utf-8") as f: data = json.load(f) data["config"] = { "tp": 8, "xpu_visible_devices": "0,1,2,3,4,5,6,7", "backend": data["metadata"]["backend"], "engine": data["metadata"]["engine"], "server_mode": "w8a8_int8_baseline", "server_start_script": f"experiments/{data['metadata']['experiment']}/start_server.sh", "groups": groups } with open(path, "w", encoding="utf-8") as f: json.dump(data, f, indent=2, ensure_ascii=False) PY } # --------------------------------------------------------------------------- # Main # --------------------------------------------------------------------------- # Cleanup any leftovers. stop_server write_backend_metadata for group in "${CONTEXT_GROUPS[@]}"; do read -r group_label context_length max_running <<< "$group" # Resolve scenario array for this group. scenario_array_name="SCENARIOS_${group_label^^}" if [[ -z "${!scenario_array_name:-}" ]]; then log "WARNING: no scenarios defined for group ${group_label}" continue fi run_group "$group_label" "$context_length" "$max_running" "$scenario_array_name" done parse_backend log "all results saved to ${RESULT_BASE}/${RUN_ID}"