diff --git a/.github/configs/amd-master.yaml b/.github/configs/amd-master.yaml index 4a57813b0..a4142f589 100644 --- a/.github/configs/amd-master.yaml +++ b/.github/configs/amd-master.yaml @@ -1800,3 +1800,24 @@ dsv4-fp4-mi355x-atom: osl: 1024 search-space: - { tp: 8, ep: 1, conc-start: 1, conc-end: 512 } + +glm5.1-fp4-mi355x-sglang-mtp: + image: lmsysorg/sglang:v0.5.12-rocm720-mi35x + model: amd/GLM-5.1-MXFP4 + model-prefix: glm5.1 + runner: mi355x + precision: fp4 + framework: sglang + multinode: false + scenarios: + fixed-seq-len: + - isl: 1024 + osl: 1024 + search-space: + - { tp: 2, conc-start: 4, conc-end: 256, spec-decoding: mtp } + - { tp: 4, conc-start: 4, conc-end: 16, spec-decoding: mtp } + - isl: 8192 + osl: 1024 + search-space: + - { tp: 2, conc-start: 4, conc-end: 256, spec-decoding: mtp } + - { tp: 4, conc-start: 4, conc-end: 16, spec-decoding: mtp } diff --git a/benchmarks/single_node/glm5.1_fp4_mi355x_mtp.sh b/benchmarks/single_node/glm5.1_fp4_mi355x_mtp.sh new file mode 100755 index 000000000..d29fd9f90 --- /dev/null +++ b/benchmarks/single_node/glm5.1_fp4_mi355x_mtp.sh @@ -0,0 +1,89 @@ +#!/usr/bin/env bash +set -x + +# GLM-5.1 MXFP4 on MI355X with EAGLE / MTP speculative decoding. +# Mirrors glm5.1_fp4_mi355x.sh; adds the speculative-* flags + SPEC_V2. + +source "$(dirname "$0")/../benchmark_lib.sh" + +check_env_vars \ + MODEL \ + TP \ + CONC \ + ISL \ + OSL \ + RANDOM_RANGE_RATIO \ + RESULT_FILENAME + +if [[ -n "$SLURM_JOB_ID" ]]; then + echo "JOB $SLURM_JOB_ID running on $SLURMD_NODENAME" +fi + +if [[ "$MODEL" != /* ]]; then hf download "$MODEL"; fi + +# ROCm / SGLang performance tuning for MI355X +export SGLANG_ROCM_FUSED_DECODE_MLA=0 +export ROCM_QUICK_REDUCE_QUANTIZATION=INT4 +export SAFETENSORS_FAST_GPU=1 +export SGLANG_ENABLE_SPEC_V2=1 + +SERVER_LOG=/workspace/server.log +PORT=${PORT:-8888} +CONTEXT_LENGTH=$((ISL + OSL + 32)) + +EVAL_CONTEXT_ARGS="" +if [ "${EVAL_ONLY}" = "true" ]; then + setup_eval_context + EVAL_CONTEXT_ARGS="--context-length $EVAL_MAX_MODEL_LEN" +fi + +start_gpu_monitor + +pip install -U transformers + +python3 -m sglang.launch_server \ + --model-path $MODEL \ + --host=0.0.0.0 \ + --port $PORT \ + --tensor-parallel-size $TP \ + --trust-remote-code \ + --cuda-graph-max-bs $CONC \ + --context-length $CONTEXT_LENGTH \ + --mem-fraction-static 0.85 \ + --tool-call-parser glm47 \ + --reasoning-parser glm45 \ + --model-loader-extra-config '{"enable_multithread_load": true, "num_threads": 8}' \ + --nsa-prefill-backend tilelang \ + --nsa-decode-backend tilelang $EVAL_CONTEXT_ARGS \ + --kv-cache-dtype fp8_e4m3 \ + --speculative-algorithm EAGLE \ + --speculative-num-steps 3 \ + --speculative-eagle-topk 1 \ + --speculative-num-draft-tokens 4 \ + --tokenizer-worker-num $((TP*2)) \ + --disable-radix-cache > $SERVER_LOG 2>&1 & + +SERVER_PID=$! + +wait_for_server_ready --port "$PORT" --server-log "$SERVER_LOG" --server-pid "$SERVER_PID" + +run_benchmark_serving \ + --model "$MODEL" \ + --port "$PORT" \ + --backend vllm \ + --input-len "$ISL" \ + --output-len "$OSL" \ + --random-range-ratio "$RANDOM_RANGE_RATIO" \ + --num-prompts "$((CONC * 10))" \ + --max-concurrency "$CONC" \ + --result-filename "$RESULT_FILENAME" \ + --result-dir /workspace/ \ + --use-chat-template + +if [ "${RUN_EVAL}" = "true" ]; then + run_eval --framework lm-eval --port "$PORT" + append_lm_eval_summary +fi + +stop_gpu_monitor +set +x diff --git a/perf-changelog.yaml b/perf-changelog.yaml index 5291bb808..562496d40 100644 --- a/perf-changelog.yaml +++ b/perf-changelog.yaml @@ -2723,3 +2723,9 @@ description: - "Add MTP/EAGLE speculative-decoding sibling for glm5-fp8-h200-sglang on lmsysorg/sglang:v0.5.12-cu130" pr-link: https://github.com/SemiAnalysisAI/InferenceX/pull/1480 + +- config-keys: + - glm5.1-fp4-mi355x-sglang-mtp + description: + - "Add MTP/EAGLE sibling of glm5.1-fp4-mi355x-sglang (model amd/GLM-5.1-MXFP4)" + pr-link: https://github.com/SemiAnalysisAI/InferenceX/pull/1494