57 lines
2.6 KiB
Bash
57 lines
2.6 KiB
Bash
#!/usr/bin/env bash
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set -euo pipefail
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TP="${TP:?TP must be set to 2 or 4}"
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case "${TP}" in
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2) HARD_GPU_CAP="0.40_H20h" ;;
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4) HARD_GPU_CAP="0.80_H20h" ;;
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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="${MODEL:-/home/admin/cpfs/wjh/models/Qwen/Qwen3-30B-A3B}"
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NUM_TOKENS="${NUM_TOKENS:-8}"
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mkdir -p "${OUTPUT_ROOT}/logs" "${OUTPUT_ROOT}/provenance" "${OUTPUT_ROOT}/raw"
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exec > >(tee -a "${OUTPUT_ROOT}/logs/profile.log") 2>&1
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IFS=',' read -r -a GPU_IDS <<< "${CUDA_VISIBLE_DEVICES:?fleet GPUs are required}"
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if [[ "${#GPU_IDS[@]}" -ne "${TP}" ]]; then
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echo "ERROR: TP=${TP} requires ${TP} GPUs, got ${CUDA_VISIBLE_DEVICES}" >&2
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exit 1
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fi
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export VLLM_ALLREDUCE_USE_FLASHINFER=1
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export VLLM_FLASHINFER_ALLREDUCE_BACKEND=trtllm
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echo "PROFILE_LAUNCH_ECHO host=$(hostname) gpus=${CUDA_VISIBLE_DEVICES} model=${MODEL} runtime=vLLM-0.20.0+cu129 operator=tensor_model_parallel_all_reduce backend=FlashInfer-TRTLLM tp=${TP} tokens=${NUM_TOKENS} hidden=2048 dtype=BF16 output=${OUTPUT_ROOT} expected_wall=2-6m hard_wall=720s hard_gpu_cap=${HARD_GPU_CAP}"
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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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git rev-parse HEAD > "${OUTPUT_ROOT}/provenance/aituner.commit"
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git -C "${VLLM_SOURCE}" rev-parse HEAD > "${OUTPUT_ROOT}/provenance/vllm-source.commit"
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sha256sum "${MODEL}/config.json" > "${OUTPUT_ROOT}/provenance/model-config.sha256"
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sha256sum profile_vllm020_allreduce.py run_allreduce_profile.sh \
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> "${OUTPUT_ROOT}/provenance/source.sha256"
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uv pip freeze --python "${VENV_ROOT}/bin/python" \
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> "${OUTPUT_ROOT}/provenance/pip-freeze.txt"
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nvidia-smi --query-gpu=index,uuid,name,driver_version,memory.total \
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--format=csv,noheader > "${OUTPUT_ROOT}/provenance/gpus.csv"
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read -r -a TOKEN_ARGS <<< "${NUM_TOKENS}"
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timeout --signal=TERM --kill-after=30s 600 \
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"${VENV_ROOT}/bin/torchrun" --standalone --nproc_per_node="${TP}" \
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profile_vllm020_allreduce.py \
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--vllm-source "${VLLM_SOURCE}" \
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--model "${MODEL}" \
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--output "${OUTPUT_ROOT}/raw/allreduce-tp${TP}.json" \
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--num-tokens "${TOKEN_ARGS[@]}" \
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--warmup-iters 3 \
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--repeats 10
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test -s "${OUTPUT_ROOT}/raw/allreduce-tp${TP}.json"
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sha256sum "${OUTPUT_ROOT}/raw/allreduce-tp${TP}.json" \
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"${OUTPUT_ROOT}/provenance"/* > "${OUTPUT_ROOT}/artifacts.sha256"
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date -u +"END_UTC=%Y-%m-%dT%H:%M:%SZ"
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echo "ALLREDUCE_PROFILE_COMPLETE tp=${TP} tokens=${NUM_TOKENS}"
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