66 lines
2.9 KiB
Bash
66 lines
2.9 KiB
Bash
#!/usr/bin/env bash
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set -euo pipefail
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TP="${TP:?TP must be set to 1, 2, or 4}"
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case "${TP}" in
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1|2|4) ;;
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*) echo "ERROR: invalid TP=${TP}" >&2; exit 1 ;;
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esac
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OUTPUT_ROOT="${OUTPUT_ROOT:?OUTPUT_ROOT must be set}"
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VENV_ROOT="${VENV_ROOT:-/tmp/wjh/venvs/vllm-0.20.0-cu129-profiler-v1}"
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VLLM_SOURCE="${VLLM_SOURCE:-/home/admin/cpfs/wjh/agentic-kv/third_party/vllm_v20_build}"
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MODEL="${MODEL:-/home/admin/cpfs/wjh/models/Qwen/Qwen3-30B-A3B}"
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CAMPAIGN_ROOT="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
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PROFILE_SCRIPT="${CAMPAIGN_ROOT}/../frontier-qwen30-vllm020-profile-v1/profile_vllm020_flashattn.py"
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LOG_DIR="${OUTPUT_ROOT}/logs"
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PROVENANCE_DIR="${OUTPUT_ROOT}/provenance"
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BATCH_SPECS=(2q512 4q512 8q512 16q512 2q2k 4q2k)
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mkdir -p "${LOG_DIR}" "${PROVENANCE_DIR}" "${OUTPUT_ROOT}/raw"
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exec > >(tee -a "${LOG_DIR}/composition.log") 2>&1
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if [[ -z "${CUDA_VISIBLE_DEVICES:-}" ]]; then
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echo "ERROR: CUDA_VISIBLE_DEVICES must contain the fleet-allocated GPU" >&2
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exit 1
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fi
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IFS=',' read -r -a GPU_IDS <<< "${CUDA_VISIBLE_DEVICES}"
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if [[ "${#GPU_IDS[@]}" -ne 1 ]]; then
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echo "ERROR: expected exactly one GPU, got ${CUDA_VISIBLE_DEVICES}" >&2
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exit 1
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fi
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echo "PROFILE_LAUNCH_ECHO host=$(hostname) gpu=${CUDA_VISIBLE_DEVICES} model=${MODEL} runtime=vLLM-0.20.0+cu129 operator=FlashAttention3 tp=${TP} batch_specs=${BATCH_SPECS[*]} profile_script=${PROFILE_SCRIPT} output=${OUTPUT_ROOT} expected_wall=3-8m hard_wall=900s hard_gpu_cap=0.25_H20h"
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date -u +"START_UTC=%Y-%m-%dT%H:%M:%SZ"
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nvidia-smi --query-gpu=index,name,driver_version,memory.used,utilization.gpu --format=csv,noheader
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test -x "${VENV_ROOT}/bin/python"
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test -f "${VLLM_SOURCE}/benchmarks/attention_benchmarks/runner.py"
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test -f "${MODEL}/config.json"
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test -f "${PROFILE_SCRIPT}"
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git -C "${CAMPAIGN_ROOT}/../.." rev-parse HEAD > "${PROVENANCE_DIR}/aituner.commit"
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git -C "${VLLM_SOURCE}" rev-parse HEAD > "${PROVENANCE_DIR}/vllm-source.commit"
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sha256sum "${PROFILE_SCRIPT}" "${BASH_SOURCE[0]}" > "${PROVENANCE_DIR}/source.sha256"
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uv pip freeze --python "${VENV_ROOT}/bin/python" > "${PROVENANCE_DIR}/pip-freeze.txt"
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nvidia-smi --query-gpu=index,uuid,name,driver_version,memory.total --format=csv,noheader > "${PROVENANCE_DIR}/gpus.csv"
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printf '%s\n' "${BATCH_SPECS[@]}" > "${PROVENANCE_DIR}/batch-specs.txt"
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timeout --signal=TERM --kill-after=30s 780 \
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"${VENV_ROOT}/bin/python" "${PROFILE_SCRIPT}" \
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--vllm-source "${VLLM_SOURCE}" \
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--model "${MODEL}" \
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--output "${OUTPUT_ROOT}/raw/flashattn-composition-tp${TP}.json" \
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--tp "${TP}" \
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--batch-specs "${BATCH_SPECS[@]}" \
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--warmup-iters 5 \
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--repeats 10 \
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--profile-kv-update
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test -s "${OUTPUT_ROOT}/raw/flashattn-composition-tp${TP}.json"
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sha256sum "${OUTPUT_ROOT}/raw/flashattn-composition-tp${TP}.json" "${PROVENANCE_DIR}"/* > "${OUTPUT_ROOT}/artifacts.sha256"
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nvidia-smi --query-gpu=index,name,memory.used,utilization.gpu --format=csv,noheader
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date -u +"END_UTC=%Y-%m-%dT%H:%M:%SZ"
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echo "FLASHATTN_COMPOSITION_COMPLETE tp=${TP} cases=${#BATCH_SPECS[@]}"
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