19f3894de6
- New experiment: dsv4_p800_sglang_profile for PyTorch profiler testing - Documents XPU cuptiActivityDisable bug (error 17) when saving traces - Includes benchmark results (ISL=4k, OSL=1k, C=16, TP8/DP1) - PROFILE_REPORT.md with full analysis of P800 vs H20 performance gap - Add dsv4_p800_sglang_tp_dp_official experiment config
103 lines
4.6 KiB
Bash
103 lines
4.6 KiB
Bash
# TP×DP matrix experiment for DeepSeek-V4-Flash-INT8 on Kunlun P800 (8 XPUs)
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# using SGLang-XPU with the OFFICIAL vendor-recommended launch parameters
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# (extracted from the image's /workspace/ds_v4/w8a8/run_server.sh):
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# --ep-size <TP*DP> (expert parallel; probes whether EP makes TP2/DP4 viable)
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# EAGLE speculative decoding (steps=3, topk=1, draft=4)
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# --chunked-prefill-size 8192 --max-prefill-tokens 16384
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# --max-running-requests 64
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# Tests SGLang with three parallel configurations:
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# TP=2, DP=4 -> 2 XPUs per replica, 4 replicas
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# TP=4, DP=2 -> 4 XPUs per replica, 2 replicas
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# TP=8, DP=1 -> 8 XPUs, no data parallelism (production config)
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EXPERIMENT="dsv4_p800_sglang_tp_dp_official"
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MODEL_NAME="DeepSeek-V4-Flash-INT8"
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MODEL_PATH="${MODEL_PATH:-/data1/models/DeepSeek-V4-Flash-INT8}"
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SERVED_MODEL_NAME="deepseek-v4-flash-int8"
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SGLANG_PORT="${SGLANG_PORT:-30014}"
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# Dedicated container name so this experiment never touches the
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# `sglang-dsv4-flash` container used by the other P800 experiments.
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CONTAINER_NAME="sglang-dsv4-flash-tpdp-official"
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# Python interpreter inside the P800 SGLang container (used to run the
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# benchmark client via `docker exec`).
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CONTAINER_PYTHON="${CONTAINER_PYTHON:-/root/miniconda/envs/python310_torch25_cuda/bin/python}"
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export XPU_VISIBLE_DEVICES="${XPU_VISIBLE_DEVICES:-0,1,2,3,4,5,6,7}"
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export CUDA_VISIBLE_DEVICES="${CUDA_VISIBLE_DEVICES:-0,1,2,3,4,5,6,7}"
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# Runtime working directory for logs, pid files, and tmp. Defaults to a local
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# directory under this experiment so the benchmark is self-contained.
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RUNTIME_BASE="${RUNTIME_BASE:-${SCRIPT_DIR}/runtime}"
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# Parallel configurations to test. Format: "TP DP"
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# TP2/DP4 is excluded: --ep-size 8 crashes this vendor image when DP>1
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# (ZeroDivisionError in data_parallel_controller.py), and --ep-size 2 offers
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# no memory relief (~264/2=132 GiB > 96 GiB per XPU), so TP=2 remains
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# infeasible for this INT8 model on P800 regardless of EP.
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# --ep-size is only passed when DP=1 (official production config TP8/EP8).
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# Override with a space-separated list of comma pairs, e.g.
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# PARALLEL_CONFIGS_STR="8,1" to run only TP=8/DP=1.
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if [[ -n "${PARALLEL_CONFIGS_STR:-}" ]]; then
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declare -a PARALLEL_CONFIGS=()
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for pair in $PARALLEL_CONFIGS_STR; do
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PARALLEL_CONFIGS+=("${pair//,/ }")
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done
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else
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declare -a PARALLEL_CONFIGS=(
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"4 2"
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"8 1"
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)
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fi
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# SGLang server settings. P800 INT8 supports at most ~131k input tokens, so
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# the context length is capped well below the H20 1M setting.
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CONTEXT_LENGTH="${CONTEXT_LENGTH:-140000}"
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MEM_FRACTION_STATIC="${MEM_FRACTION_STATIC:-0.8}"
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# Official w8a8 parameters (from /workspace/ds_v4/w8a8/run_server.sh).
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# EP_SIZE defaults to TP*DP in start_sglang_docker.sh (8 on this machine);
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# override here only for single-config probes.
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EP_SIZE="${EP_SIZE:-}"
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CHUNKED_PREFILL_SIZE="${CHUNKED_PREFILL_SIZE:-8192}"
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MAX_PREFILL_TOKENS="${MAX_PREFILL_TOKENS:-16384}"
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MAX_RUNNING_REQUESTS="${MAX_RUNNING_REQUESTS:-64}"
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# EAGLE speculative decoding (official defaults: steps=3, topk=1, draft=4).
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SPEC_NUM_STEPS="${SPEC_NUM_STEPS:-3}"
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SPEC_EAGLE_TOPK="${SPEC_EAGLE_TOPK:-1}"
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SPEC_NUM_DRAFT_TOKENS="${SPEC_NUM_DRAFT_TOKENS:-4}"
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DOCKER_IMAGE="${DOCKER_IMAGE:-iregistry.baidu-int.com/xpu/sglang-p800-pd-disagg-0510:20260511_4202}"
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# ShareGPT seed dataset for the random workload. DATASET_PATH is the host
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# copy (also used by the adaptive search for capacity checks); it is mounted
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# into the container at CONTAINER_DATASET_PATH, which is what the benchmark
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# client references. Default matches the H20 experiments; the file is
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# gitignored, download it into /data1/yy/sskj/datasets/ first.
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DATASET_PATH="${DATASET_PATH:-/data1/yy/sskj/datasets/ShareGPT_V3_unfiltered_cleaned_split.json}"
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CONTAINER_DATASET_PATH="${CONTAINER_DATASET_PATH:-/workspace/ShareGPT_V3_unfiltered_cleaned_split.json}"
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# Matrix and concurrency rules are defined in matrix.json by default.
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MATRIX_FILE="${MATRIX_FILE:-${SCRIPT_DIR:-.}/matrix.json}"
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MATRIX_MODE="${MATRIX_MODE:-Y}"
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# Sampling density for concurrency (kept for parity with the H20 experiment;
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# generate_scenarios.py currently samples the low/high endpoints only).
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export CONCURRENCY_SAMPLES="${CONCURRENCY_SAMPLES:-2}"
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# Per-scenario timeout to avoid hangs (seconds).
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SCENARIO_TIMEOUT_S="${SCENARIO_TIMEOUT_S:-1800}"
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# XPU memory sampling interval (seconds).
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GPU_MEM_SAMPLE_INTERVAL_S="${GPU_MEM_SAMPLE_INTERVAL_S:-1}"
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# Dry-run mode: if 1, only log the server args and scenario plan without
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# starting any server or sending requests.
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DRY_RUN="${DRY_RUN:-0}"
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# Per-config scenario limit for quick smoke tests. 0 = run all generated
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# scenarios.
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GRID_LIMIT="${GRID_LIMIT:-0}"
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