From 958c5778f076819ddc797a13bd19aa1cca189d4d Mon Sep 17 00:00:00 2001 From: Quantong Qiu Date: Sat, 18 Jul 2026 10:31:24 +0800 Subject: [PATCH] Add new kernels and autotune configurations for DeepseekV4 model - Introduced a new CUDA kernel for transposing and packing FP32 into UE8. - Added binary file for the new kernel. - Created multiple autotune configuration files for version 0.6.14 of FlashInfer, supporting various input shapes and configurations. - Added model information JSON for DeepseekV4ForCausalLM, detailing its architecture and capabilities. --- envs/UV_ENV_SETUP.md | 31 ++- .../adaptive_config.env | 3 +- .../config.env | 5 +- .../run_adaptive_concurrency.sh | 3 + .../run_adaptive_concurrency_add16.sh | 3 + .../run_bench.sh | 2 + .../adaptive_config.env | 3 +- .../adaptive_points.jsonl | 0 .../adaptive_shapes.jsonl | 0 .../run_manifest.json | 24 +++ .../adaptive_20260717-172827/shapes.tsv | 40 ++++ .../adaptive_points.jsonl | 0 .../adaptive_shapes.jsonl | 0 .../run_manifest.json | 24 +++ .../adaptive_20260717-173413/shapes.tsv | 40 ++++ .../adaptive_points.jsonl | 3 + .../adaptive_shapes.jsonl | 2 + .../run_manifest.json | 27 +++ .../adaptive_20260717-174138/shapes.tsv | 40 ++++ .../adaptive_points.jsonl | 0 .../adaptive_shapes.jsonl | 0 .../run_manifest.json | 27 +++ .../adaptive_20260717-175805/shapes.tsv | 40 ++++ .../adaptive_points.jsonl | 0 .../adaptive_shapes.jsonl | 0 .../adaptive_summary.jsonl | 0 .../adaptive_summary.md | 6 + .../run_manifest.json | 27 +++ .../adaptive_20260717-180055/shapes.tsv | 40 ++++ .../adaptive_points.jsonl | 5 + .../adaptive_shapes.jsonl | 2 + .../run_manifest.json | 27 +++ .../adaptive_20260717-180304/shapes.tsv | 40 ++++ .../adaptive_points.jsonl | 185 ++++++++++++++++++ .../adaptive_shapes.jsonl | 69 +++++++ .../run_manifest.json | 27 +++ .../adaptive_20260717-183028/shapes.tsv | 40 ++++ .../dsv4_pro6000_vllm_tp_dp_matrix/config.env | 5 +- .../run_adaptive_concurrency.sh | 2 + .../run_adaptive_concurrency_add16.sh | 2 + .../start_vllm_docker.sh | 20 +- .../start_vllm_dp.sh | 6 +- 42 files changed, 799 insertions(+), 21 deletions(-) create mode 100644 experiments/pro6000/dsv4_pro6000_vllm_tp_dp_matrix/adaptive_results/adaptive_20260717-172827/adaptive_points.jsonl create mode 100644 experiments/pro6000/dsv4_pro6000_vllm_tp_dp_matrix/adaptive_results/adaptive_20260717-172827/adaptive_shapes.jsonl create mode 100644 experiments/pro6000/dsv4_pro6000_vllm_tp_dp_matrix/adaptive_results/adaptive_20260717-172827/run_manifest.json create mode 100644 experiments/pro6000/dsv4_pro6000_vllm_tp_dp_matrix/adaptive_results/adaptive_20260717-172827/shapes.tsv create mode 100644 experiments/pro6000/dsv4_pro6000_vllm_tp_dp_matrix/adaptive_results/adaptive_20260717-173413/adaptive_points.jsonl create mode 100644 experiments/pro6000/dsv4_pro6000_vllm_tp_dp_matrix/adaptive_results/adaptive_20260717-173413/adaptive_shapes.jsonl create mode 100644 experiments/pro6000/dsv4_pro6000_vllm_tp_dp_matrix/adaptive_results/adaptive_20260717-173413/run_manifest.json create mode 100644 experiments/pro6000/dsv4_pro6000_vllm_tp_dp_matrix/adaptive_results/adaptive_20260717-173413/shapes.tsv create mode 100644 experiments/pro6000/dsv4_pro6000_vllm_tp_dp_matrix/adaptive_results/adaptive_20260717-174138/adaptive_points.jsonl create mode 100644 experiments/pro6000/dsv4_pro6000_vllm_tp_dp_matrix/adaptive_results/adaptive_20260717-174138/adaptive_shapes.jsonl create mode 100644 experiments/pro6000/dsv4_pro6000_vllm_tp_dp_matrix/adaptive_results/adaptive_20260717-174138/run_manifest.json create mode 100644 experiments/pro6000/dsv4_pro6000_vllm_tp_dp_matrix/adaptive_results/adaptive_20260717-174138/shapes.tsv create mode 100644 experiments/pro6000/dsv4_pro6000_vllm_tp_dp_matrix/adaptive_results/adaptive_20260717-175805/adaptive_points.jsonl create mode 100644 experiments/pro6000/dsv4_pro6000_vllm_tp_dp_matrix/adaptive_results/adaptive_20260717-175805/adaptive_shapes.jsonl create mode 100644 experiments/pro6000/dsv4_pro6000_vllm_tp_dp_matrix/adaptive_results/adaptive_20260717-175805/run_manifest.json create mode 100644 experiments/pro6000/dsv4_pro6000_vllm_tp_dp_matrix/adaptive_results/adaptive_20260717-175805/shapes.tsv create mode 100644 experiments/pro6000/dsv4_pro6000_vllm_tp_dp_matrix/adaptive_results/adaptive_20260717-180055/adaptive_points.jsonl create mode 100644 experiments/pro6000/dsv4_pro6000_vllm_tp_dp_matrix/adaptive_results/adaptive_20260717-180055/adaptive_shapes.jsonl create mode 100644 experiments/pro6000/dsv4_pro6000_vllm_tp_dp_matrix/adaptive_results/adaptive_20260717-180055/adaptive_summary.jsonl create mode 100644 experiments/pro6000/dsv4_pro6000_vllm_tp_dp_matrix/adaptive_results/adaptive_20260717-180055/adaptive_summary.md create mode 100644 experiments/pro6000/dsv4_pro6000_vllm_tp_dp_matrix/adaptive_results/adaptive_20260717-180055/run_manifest.json create mode 100644 experiments/pro6000/dsv4_pro6000_vllm_tp_dp_matrix/adaptive_results/adaptive_20260717-180055/shapes.tsv create mode 100644 experiments/pro6000/dsv4_pro6000_vllm_tp_dp_matrix/adaptive_results/adaptive_20260717-180304/adaptive_points.jsonl create mode 100644 experiments/pro6000/dsv4_pro6000_vllm_tp_dp_matrix/adaptive_results/adaptive_20260717-180304/adaptive_shapes.jsonl create mode 100644 experiments/pro6000/dsv4_pro6000_vllm_tp_dp_matrix/adaptive_results/adaptive_20260717-180304/run_manifest.json create mode 100644 experiments/pro6000/dsv4_pro6000_vllm_tp_dp_matrix/adaptive_results/adaptive_20260717-180304/shapes.tsv create mode 100644 experiments/pro6000/dsv4_pro6000_vllm_tp_dp_matrix/adaptive_results/adaptive_20260717-183028/adaptive_points.jsonl create mode 100644 experiments/pro6000/dsv4_pro6000_vllm_tp_dp_matrix/adaptive_results/adaptive_20260717-183028/adaptive_shapes.jsonl create mode 100644 experiments/pro6000/dsv4_pro6000_vllm_tp_dp_matrix/adaptive_results/adaptive_20260717-183028/run_manifest.json create mode 100644 experiments/pro6000/dsv4_pro6000_vllm_tp_dp_matrix/adaptive_results/adaptive_20260717-183028/shapes.tsv diff --git a/envs/UV_ENV_SETUP.md b/envs/UV_ENV_SETUP.md index 1f4719f..dce5d04 100644 --- a/envs/UV_ENV_SETUP.md +++ b/envs/UV_ENV_SETUP.md @@ -32,9 +32,12 @@ export UV_CACHE_DIR="/data/yy/sskj/envs/.uv_cache" ```bash cd /data/yy/sskj/envs -# vLLM 环境 +# vLLM 稳定版环境 uv venv vllm --python 3.12 +# vLLM nightly 环境 +uv venv vllm-nightly --python 3.12 + # SGLang 环境 uv venv sglang --python 3.12 ``` @@ -43,6 +46,8 @@ uv venv sglang --python 3.12 ## vLLM 环境安装 +### 稳定版 + ```bash source /data/yy/sskj/envs/vllm/bin/activate @@ -52,6 +57,21 @@ uv pip install vllm --torch-backend=auto > `--torch-backend=auto` 让 uv 自动选择匹配当前 CUDA 版本的 PyTorch 后端。 +### Nightly 版 + +如果需要使用 vLLM 的 nightly 版本(包含最新修复但可能不稳定): + +```bash +source /data/yy/sskj/envs/vllm-nightly/bin/activate + +# 安装 vLLM nightly(从 vLLM 官方 nightly wheels) +uv pip install -U vllm \ + --torch-backend=auto \ + --extra-index-url https://wheels.vllm.ai/nightly +``` + +> 如需特定 CUDA 变体(如 `cu128`),可在 URL 后添加子目录,例如 `https://wheels.vllm.ai/nightly/cu128`。 + --- ## SGLang 环境安装 @@ -124,7 +144,11 @@ python -c "import sglang; print(sglang.__version__)" ``` envs/ ├── .uv_cache/ # uv 缓存(已加入 .gitignore) -├── vllm/ # vLLM 虚拟环境(已加入 .gitignore) +├── vllm/ # vLLM 稳定版虚拟环境(已加入 .gitignore) +│ ├── bin/ +│ ├── lib/ +│ └── ... +├── vllm-nightly/ # vLLM nightly 虚拟环境(已加入 .gitignore) │ ├── bin/ │ ├── lib/ │ └── ... @@ -160,5 +184,6 @@ uv pip install torch== --index-url https://download.pytorch.org/whl/cu< | 环境 | 激活命令 | |---|---| -| vLLM | `source /data/yy/sskj/envs/vllm/bin/activate` | +| vLLM 稳定版 | `source /data/yy/sskj/envs/vllm/bin/activate` | +| vLLM nightly | `source /data/yy/sskj/envs/vllm-nightly/bin/activate` | | SGLang | `source /data/yy/sskj/envs/sglang/bin/activate` | diff --git a/experiments/pro6000/dsv4_pro6000_sglang_tp_dp_matrix/adaptive_config.env b/experiments/pro6000/dsv4_pro6000_sglang_tp_dp_matrix/adaptive_config.env index 204f531..18854ed 100644 --- a/experiments/pro6000/dsv4_pro6000_sglang_tp_dp_matrix/adaptive_config.env +++ b/experiments/pro6000/dsv4_pro6000_sglang_tp_dp_matrix/adaptive_config.env @@ -18,13 +18,12 @@ PLATEAU_PATIENCE="${PLATEAU_PATIENCE:-2}" # Stop a shape when p95 TTFT exceeds the SLO; keep group skipping disabled. TTFT_SLO_MS="${TTFT_SLO_MS:-4000}" ENABLE_TTFT_SLO_STOP="${ENABLE_TTFT_SLO_STOP:-1}" -TTFT_GROUP_SKIP_MS="${TTFT_GROUP_SKIP_MS:-0}" # Keep the same random workload semantics as the fixed matrix baseline. # DATASET_PATH must contain at least SEARCH_MAX_CONCURRENCY times # NUM_PROMPTS_MULTIPLIER valid two-turn conversations. Set this explicitly to # random-ids to use generated token IDs without a ShareGPT seed dataset. -BENCH_DATASET_NAME="${BENCH_DATASET_NAME:-random-ids}" +BENCH_DATASET_NAME="${BENCH_DATASET_NAME:-random}" # SGLang interprets 0.0 as Uniform[1, requested_len]. Use 1.0 for fixed # ISL/OSL points; lower values intentionally benchmark a length distribution. RANDOM_RANGE_RATIO="${RANDOM_RANGE_RATIO:-1.0}" diff --git a/experiments/pro6000/dsv4_pro6000_sglang_tp_dp_matrix/config.env b/experiments/pro6000/dsv4_pro6000_sglang_tp_dp_matrix/config.env index 596a0aa..87e9422 100644 --- a/experiments/pro6000/dsv4_pro6000_sglang_tp_dp_matrix/config.env +++ b/experiments/pro6000/dsv4_pro6000_sglang_tp_dp_matrix/config.env @@ -43,10 +43,9 @@ MOE_RUNNER_BACKEND="${MOE_RUNNER_BACKEND:-marlin}" USE_DOCKER="${USE_DOCKER:-1}" DOCKER_IMAGE="${DOCKER_IMAGE:-sglang-sm120-dsv4:0.5.15.post1-fi0.6.14-sm120fix1}" -# Offline by default: random-ids generates token IDs without downloading data. # To use ShareGPT, set BENCH_DATASET_NAME=random and DATASET_PATH explicitly. -BENCH_DATASET_NAME="${BENCH_DATASET_NAME:-random-ids}" -DATASET_PATH="${DATASET_PATH:-}" +BENCH_DATASET_NAME="${BENCH_DATASET_NAME:-random}" +DATASET_PATH="${DATASET_PATH:-/data/yy/sskj/dataset/ShareGPT_V3_unfiltered_cleaned_split.json}" SGLANG_BENCH_MODULE="${SGLANG_BENCH_MODULE:-sglang.benchmark.serving}" CACHE_DIR="${CACHE_DIR:-/data/yy/sskj/sglang_sm120_cache}" diff --git a/experiments/pro6000/dsv4_pro6000_sglang_tp_dp_matrix/run_adaptive_concurrency.sh b/experiments/pro6000/dsv4_pro6000_sglang_tp_dp_matrix/run_adaptive_concurrency.sh index 5952558..cca4fda 100755 --- a/experiments/pro6000/dsv4_pro6000_sglang_tp_dp_matrix/run_adaptive_concurrency.sh +++ b/experiments/pro6000/dsv4_pro6000_sglang_tp_dp_matrix/run_adaptive_concurrency.sh @@ -151,9 +151,12 @@ engine_run_bench() { --output-file "$output_file" --output-details --disable-tqdm + --disable-stream ) if [[ "$BENCH_DATASET_NAME" == "random" ]]; then bench_args+=(--dataset-path "$DATASET_PATH") + elif [[ "$BENCH_DATASET_NAME" == "random-ids" ]]; then + : # random-ids does not need --tokenize-prompt else bench_args+=(--tokenize-prompt) fi diff --git a/experiments/pro6000/dsv4_pro6000_sglang_tp_dp_matrix/run_adaptive_concurrency_add16.sh b/experiments/pro6000/dsv4_pro6000_sglang_tp_dp_matrix/run_adaptive_concurrency_add16.sh index de33dc6..771b67d 100755 --- a/experiments/pro6000/dsv4_pro6000_sglang_tp_dp_matrix/run_adaptive_concurrency_add16.sh +++ b/experiments/pro6000/dsv4_pro6000_sglang_tp_dp_matrix/run_adaptive_concurrency_add16.sh @@ -151,9 +151,12 @@ engine_run_bench() { --output-file "$output_file" --output-details --disable-tqdm + --disable-stream ) if [[ "$BENCH_DATASET_NAME" == "random" ]]; then bench_args+=(--dataset-path "$DATASET_PATH") + elif [[ "$BENCH_DATASET_NAME" == "random-ids" ]]; then + : # random-ids does not need --tokenize-prompt else bench_args+=(--tokenize-prompt) fi diff --git a/experiments/pro6000/dsv4_pro6000_sglang_tp_dp_matrix/run_bench.sh b/experiments/pro6000/dsv4_pro6000_sglang_tp_dp_matrix/run_bench.sh index d2b9c84..ff5131f 100755 --- a/experiments/pro6000/dsv4_pro6000_sglang_tp_dp_matrix/run_bench.sh +++ b/experiments/pro6000/dsv4_pro6000_sglang_tp_dp_matrix/run_bench.sh @@ -142,6 +142,8 @@ run_bench_serving() { local -a dataset_args=(--dataset-name "$BENCH_DATASET_NAME") if [[ "$BENCH_DATASET_NAME" == "random" ]]; then dataset_args+=(--dataset-path "$DATASET_PATH") + elif [[ "$BENCH_DATASET_NAME" == "random-ids" ]]; then + : # random-ids does not need --tokenize-prompt else dataset_args+=(--tokenize-prompt) fi diff --git a/experiments/pro6000/dsv4_pro6000_vllm_tp_dp_matrix/adaptive_config.env b/experiments/pro6000/dsv4_pro6000_vllm_tp_dp_matrix/adaptive_config.env index 204f531..18854ed 100644 --- a/experiments/pro6000/dsv4_pro6000_vllm_tp_dp_matrix/adaptive_config.env +++ b/experiments/pro6000/dsv4_pro6000_vllm_tp_dp_matrix/adaptive_config.env @@ -18,13 +18,12 @@ PLATEAU_PATIENCE="${PLATEAU_PATIENCE:-2}" # Stop a shape when p95 TTFT exceeds the SLO; keep group skipping disabled. TTFT_SLO_MS="${TTFT_SLO_MS:-4000}" ENABLE_TTFT_SLO_STOP="${ENABLE_TTFT_SLO_STOP:-1}" -TTFT_GROUP_SKIP_MS="${TTFT_GROUP_SKIP_MS:-0}" # Keep the same random workload semantics as the fixed matrix baseline. # DATASET_PATH must contain at least SEARCH_MAX_CONCURRENCY times # NUM_PROMPTS_MULTIPLIER valid two-turn conversations. Set this explicitly to # random-ids to use generated token IDs without a ShareGPT seed dataset. -BENCH_DATASET_NAME="${BENCH_DATASET_NAME:-random-ids}" +BENCH_DATASET_NAME="${BENCH_DATASET_NAME:-random}" # SGLang interprets 0.0 as Uniform[1, requested_len]. Use 1.0 for fixed # ISL/OSL points; lower values intentionally benchmark a length distribution. RANDOM_RANGE_RATIO="${RANDOM_RANGE_RATIO:-1.0}" diff --git a/experiments/pro6000/dsv4_pro6000_vllm_tp_dp_matrix/adaptive_results/adaptive_20260717-172827/adaptive_points.jsonl b/experiments/pro6000/dsv4_pro6000_vllm_tp_dp_matrix/adaptive_results/adaptive_20260717-172827/adaptive_points.jsonl new file mode 100644 index 0000000..e69de29 diff --git a/experiments/pro6000/dsv4_pro6000_vllm_tp_dp_matrix/adaptive_results/adaptive_20260717-172827/adaptive_shapes.jsonl b/experiments/pro6000/dsv4_pro6000_vllm_tp_dp_matrix/adaptive_results/adaptive_20260717-172827/adaptive_shapes.jsonl new file mode 100644 index 0000000..e69de29 diff --git a/experiments/pro6000/dsv4_pro6000_vllm_tp_dp_matrix/adaptive_results/adaptive_20260717-172827/run_manifest.json b/experiments/pro6000/dsv4_pro6000_vllm_tp_dp_matrix/adaptive_results/adaptive_20260717-172827/run_manifest.json new file mode 100644 index 0000000..a95eb32 --- /dev/null +++ b/experiments/pro6000/dsv4_pro6000_vllm_tp_dp_matrix/adaptive_results/adaptive_20260717-172827/run_manifest.json @@ -0,0 +1,24 @@ +{ + "experiment": "dsv4_pro6000_vllm_tp_dp_matrix", + "engine": "vllm", + "run_id": "adaptive_20260717-172827", + "model": "/data/6000D/DeepSeek-V4-Flash", + "hardware": "8x NVIDIA RTX 6000D 84GB", + "matrix": "/data/yy/sskj/experiments/pro6000/dsv4_pro6000_vllm_tp_dp_matrix/matrix.json", + "dataset": "random", + "tokenize_prompt": false, + "random_range_ratio": 1.0, + "search": { + "start_concurrency": 1, + "max_concurrency": 512, + "multiplier": 2, + "initial_backoff_concurrencies": [], + "num_prompts_multiplier": 5, + "min_tps_gain_pct": 2.0, + "plateau_patience": 2, + "warmup_max_requests": 0, + "ttft_slo_ms": 4000.0, + "enable_ttft_slo_stop": 1, + "ttft_group_skip_ms": 0.0 + } +} diff --git a/experiments/pro6000/dsv4_pro6000_vllm_tp_dp_matrix/adaptive_results/adaptive_20260717-172827/shapes.tsv b/experiments/pro6000/dsv4_pro6000_vllm_tp_dp_matrix/adaptive_results/adaptive_20260717-172827/shapes.tsv new file mode 100644 index 0000000..e1f82e6 --- /dev/null +++ b/experiments/pro6000/dsv4_pro6000_vllm_tp_dp_matrix/adaptive_results/adaptive_20260717-172827/shapes.tsv @@ -0,0 +1,40 @@ +mark input_len output_len +Y 1024 128 +Y 1024 256 +Y 1024 512 +Y 1024 1024 +Y 1024 2048 +Y 1024 4096 +Y 4096 128 +Y 4096 256 +Y 4096 512 +Y 4096 1024 +Y 4096 2048 +Y 4096 4096 +Y 8192 128 +Y 8192 256 +Y 8192 512 +Y 8192 1024 +Y 8192 2048 +Y 8192 4096 +Y 16384 128 +Y 16384 256 +Y 16384 512 +Y 16384 1024 +Y 16384 2048 +Y 32768 128 +Y 32768 256 +Y 32768 512 +Y 32768 1024 +Y 32768 2048 +Y 65536 128 +Y 65536 256 +Y 65536 512 +Y 65536 1024 +Y 131072 128 +Y 131072 256 +Y 131072 512 +Y 262144 128 +Y 262144 256 +Y 524288 128 +Y 1048576 128 diff --git a/experiments/pro6000/dsv4_pro6000_vllm_tp_dp_matrix/adaptive_results/adaptive_20260717-173413/adaptive_points.jsonl b/experiments/pro6000/dsv4_pro6000_vllm_tp_dp_matrix/adaptive_results/adaptive_20260717-173413/adaptive_points.jsonl new file mode 100644 index 0000000..e69de29 diff --git a/experiments/pro6000/dsv4_pro6000_vllm_tp_dp_matrix/adaptive_results/adaptive_20260717-173413/adaptive_shapes.jsonl b/experiments/pro6000/dsv4_pro6000_vllm_tp_dp_matrix/adaptive_results/adaptive_20260717-173413/adaptive_shapes.jsonl new file mode 100644 index 0000000..e69de29 diff --git a/experiments/pro6000/dsv4_pro6000_vllm_tp_dp_matrix/adaptive_results/adaptive_20260717-173413/run_manifest.json b/experiments/pro6000/dsv4_pro6000_vllm_tp_dp_matrix/adaptive_results/adaptive_20260717-173413/run_manifest.json new file mode 100644 index 0000000..8ea2a2e --- /dev/null +++ b/experiments/pro6000/dsv4_pro6000_vllm_tp_dp_matrix/adaptive_results/adaptive_20260717-173413/run_manifest.json @@ -0,0 +1,24 @@ +{ + "experiment": "dsv4_pro6000_vllm_tp_dp_matrix", + "engine": "vllm", + "run_id": "adaptive_20260717-173413", + "model": "/data/6000D/DeepSeek-V4-Flash", + "hardware": "8x NVIDIA RTX 6000D 84GB", + "matrix": "/data/yy/sskj/experiments/pro6000/dsv4_pro6000_vllm_tp_dp_matrix/matrix.json", + "dataset": "random", + "tokenize_prompt": false, + "random_range_ratio": 1.0, + "search": { + "start_concurrency": 1, + "max_concurrency": 512, + "multiplier": 2, + "initial_backoff_concurrencies": [], + "num_prompts_multiplier": 5, + "min_tps_gain_pct": 2.0, + "plateau_patience": 2, + "warmup_max_requests": 0, + "ttft_slo_ms": 4000.0, + "enable_ttft_slo_stop": 1, + "ttft_group_skip_ms": 0.0 + } +} diff --git a/experiments/pro6000/dsv4_pro6000_vllm_tp_dp_matrix/adaptive_results/adaptive_20260717-173413/shapes.tsv b/experiments/pro6000/dsv4_pro6000_vllm_tp_dp_matrix/adaptive_results/adaptive_20260717-173413/shapes.tsv new file mode 100644 index 0000000..e1f82e6 --- /dev/null +++ b/experiments/pro6000/dsv4_pro6000_vllm_tp_dp_matrix/adaptive_results/adaptive_20260717-173413/shapes.tsv @@ -0,0 +1,40 @@ +mark input_len output_len +Y 1024 128 +Y 1024 256 +Y 1024 512 +Y 1024 1024 +Y 1024 2048 +Y 1024 4096 +Y 4096 128 +Y 4096 256 +Y 4096 512 +Y 4096 1024 +Y 4096 2048 +Y 4096 4096 +Y 8192 128 +Y 8192 256 +Y 8192 512 +Y 8192 1024 +Y 8192 2048 +Y 8192 4096 +Y 16384 128 +Y 16384 256 +Y 16384 512 +Y 16384 1024 +Y 16384 2048 +Y 32768 128 +Y 32768 256 +Y 32768 512 +Y 32768 1024 +Y 32768 2048 +Y 65536 128 +Y 65536 256 +Y 65536 512 +Y 65536 1024 +Y 131072 128 +Y 131072 256 +Y 131072 512 +Y 262144 128 +Y 262144 256 +Y 524288 128 +Y 1048576 128 diff --git a/experiments/pro6000/dsv4_pro6000_vllm_tp_dp_matrix/adaptive_results/adaptive_20260717-174138/adaptive_points.jsonl b/experiments/pro6000/dsv4_pro6000_vllm_tp_dp_matrix/adaptive_results/adaptive_20260717-174138/adaptive_points.jsonl new file mode 100644 index 0000000..d325a7f --- /dev/null +++ b/experiments/pro6000/dsv4_pro6000_vllm_tp_dp_matrix/adaptive_results/adaptive_20260717-174138/adaptive_points.jsonl @@ -0,0 +1,3 @@ +{"status":"COMPLETED","completed":80,"failed":0,"duration_s":37.49975781499961,"request_tps":2.133347111057891,"input_tps":2184.5474417232804,"output_tps":273.06843021541005,"total_tps":2457.615871938691,"mean_input_tokens":1024.0,"mean_output_tokens":128.0,"ttft_p50_ms":1183.0383029991935,"ttft_p95_ms":15920.936896450985,"ttft_p99_ms":15926.864418140976,"tpot_p50_ms":28.05901554330469,"tpot_p95_ms":34.79938082481545,"tpot_p99_ms":145.7774584655177,"e2e_p50_ms":4740.940883000803,"e2e_p95_ms":18894.823492500473,"e2e_p99_ms":18899.136222039633,"itl_p50_ms":23.54768800068996,"itl_p95_ms":24.669825497585407,"itl_p99_ms":27.91304846101412,"validation_errors":[],"timestamp":"2026-07-17T17:56:29+08:00","engine":"vllm","tp":2,"dp":4,"mark":"Y","isl":1024,"osl":128,"concurrency":16,"num_prompts":80,"warmup_requests":16,"attempt":2,"gain_pct":null,"plateau_streak":0,"error_type":"","raw_file":"/data/yy/sskj/experiments/pro6000/dsv4_pro6000_vllm_tp_dp_matrix/adaptive_results/adaptive_20260717-174138/tp2_dp4/raw_outputs/vllm_adaptive_c16_i1024_o128_a2.jsonl","detail_log":"/data/yy/sskj/experiments/pro6000/dsv4_pro6000_vllm_tp_dp_matrix/adaptive_results/adaptive_20260717-174138/tp2_dp4/logs/vllm_c16_i1024_o128_a2.log"} +{"status":"COMPLETED","completed":40,"failed":0,"duration_s":18.115019801000017,"request_tps":2.2081124083448063,"input_tps":2261.1071061450816,"output_tps":282.6383882681352,"total_tps":2543.745494413217,"mean_input_tokens":1024.0,"mean_output_tokens":128.0,"ttft_p50_ms":601.0889195003983,"ttft_p95_ms":1435.130793051212,"ttft_p99_ms":1437.7610623092187,"tpot_p50_ms":22.656555452752894,"tpot_p95_ms":30.382272452738192,"tpot_p99_ms":32.119149702517085,"e2e_p50_ms":3510.3313099989464,"e2e_p95_ms":4573.223948101258,"e2e_p99_ms":4575.709853298395,"itl_p50_ms":19.9942369999917,"itl_p95_ms":24.899452198769723,"itl_p99_ms":25.811827809229726,"validation_errors":[],"timestamp":"2026-07-17T17:57:28+08:00","engine":"vllm","tp":2,"dp":4,"mark":"Y","isl":1024,"osl":128,"concurrency":8,"num_prompts":40,"warmup_requests":8,"attempt":1,"gain_pct":null,"plateau_streak":0,"error_type":"","raw_file":"/data/yy/sskj/experiments/pro6000/dsv4_pro6000_vllm_tp_dp_matrix/adaptive_results/adaptive_20260717-174138/tp2_dp4/raw_outputs/vllm_adaptive_c8_i1024_o128_a1.jsonl","detail_log":"/data/yy/sskj/experiments/pro6000/dsv4_pro6000_vllm_tp_dp_matrix/adaptive_results/adaptive_20260717-174138/tp2_dp4/logs/vllm_c8_i1024_o128_a1.log"} +{"timestamp":"2026-07-17T17:59:59+08:00","engine":"vllm","tp":2,"dp":4,"mark":"Y","isl":1024,"osl":256,"concurrency":16,"num_prompts":80,"warmup_requests":16,"attempt":1,"status":"FAILED","completed":0,"failed":80,"error_type":"benchmark failed and server restart failed","validation_errors":[],"gain_pct":null,"plateau_streak":0,"raw_file":"/data/yy/sskj/experiments/pro6000/dsv4_pro6000_vllm_tp_dp_matrix/adaptive_results/adaptive_20260717-174138/tp2_dp4/raw_outputs/vllm_adaptive_c16_i1024_o256_a1.jsonl","detail_log":"/data/yy/sskj/experiments/pro6000/dsv4_pro6000_vllm_tp_dp_matrix/adaptive_results/adaptive_20260717-174138/tp2_dp4/logs/vllm_c16_i1024_o256_a1.log"} diff --git a/experiments/pro6000/dsv4_pro6000_vllm_tp_dp_matrix/adaptive_results/adaptive_20260717-174138/adaptive_shapes.jsonl b/experiments/pro6000/dsv4_pro6000_vllm_tp_dp_matrix/adaptive_results/adaptive_20260717-174138/adaptive_shapes.jsonl new file mode 100644 index 0000000..e34bfdb --- /dev/null +++ b/experiments/pro6000/dsv4_pro6000_vllm_tp_dp_matrix/adaptive_results/adaptive_20260717-174138/adaptive_shapes.jsonl @@ -0,0 +1,2 @@ +{"timestamp":"2026-07-17T17:57:29+08:00","engine":"vllm","tp":2,"dp":4,"mark":"Y","isl":1024,"osl":128,"status":"TTFT_BOUNDARY","stop_reason":"TTFT_SLO_BACKOFF_FOUND","tested_points":2,"search_cap":512,"max_successful_concurrency":8,"saturation_concurrency":null,"stop_probe_concurrency":8,"best_tps_concurrency":8,"best_total_tps":2543.745494413217,"last_total_tps":2543.745494413217} +{"timestamp":"2026-07-17T17:59:59+08:00","engine":"vllm","tp":2,"dp":4,"mark":"Y","isl":1024,"osl":256,"status":"FAILED","stop_reason":"BENCHMARK_FAILED","tested_points":1,"search_cap":512,"max_successful_concurrency":0,"saturation_concurrency":null,"stop_probe_concurrency":16,"best_tps_concurrency":null,"best_total_tps":null,"last_total_tps":null} diff --git a/experiments/pro6000/dsv4_pro6000_vllm_tp_dp_matrix/adaptive_results/adaptive_20260717-174138/run_manifest.json b/experiments/pro6000/dsv4_pro6000_vllm_tp_dp_matrix/adaptive_results/adaptive_20260717-174138/run_manifest.json new file mode 100644 index 0000000..f7e6a64 --- /dev/null +++ b/experiments/pro6000/dsv4_pro6000_vllm_tp_dp_matrix/adaptive_results/adaptive_20260717-174138/run_manifest.json @@ -0,0 +1,27 @@ +{ + "experiment": "dsv4_pro6000_vllm_tp_dp_matrix", + "engine": "vllm", + "run_id": "adaptive_20260717-174138", + "model": "/data/6000D/DeepSeek-V4-Flash", + "hardware": "8x NVIDIA RTX 6000D 84GB", + "matrix": "/data/yy/sskj/experiments/pro6000/dsv4_pro6000_vllm_tp_dp_matrix/matrix.json", + "dataset": "random", + "tokenize_prompt": false, + "random_range_ratio": 1.0, + "search": { + "start_concurrency": 16, + "max_concurrency": 512, + "multiplier": 2, + "initial_backoff_concurrencies": [ + 8, + 1 + ], + "num_prompts_multiplier": 5, + "min_tps_gain_pct": 2.0, + "plateau_patience": 2, + "warmup_max_requests": 0, + "ttft_slo_ms": 4000.0, + "enable_ttft_slo_stop": 1, + "ttft_group_skip_ms": 0.0 + } +} diff --git a/experiments/pro6000/dsv4_pro6000_vllm_tp_dp_matrix/adaptive_results/adaptive_20260717-174138/shapes.tsv b/experiments/pro6000/dsv4_pro6000_vllm_tp_dp_matrix/adaptive_results/adaptive_20260717-174138/shapes.tsv new file mode 100644 index 0000000..e1f82e6 --- /dev/null +++ b/experiments/pro6000/dsv4_pro6000_vllm_tp_dp_matrix/adaptive_results/adaptive_20260717-174138/shapes.tsv @@ -0,0 +1,40 @@ +mark input_len output_len +Y 1024 128 +Y 1024 256 +Y 1024 512 +Y 1024 1024 +Y 1024 2048 +Y 1024 4096 +Y 4096 128 +Y 4096 256 +Y 4096 512 +Y 4096 1024 +Y 4096 2048 +Y 4096 4096 +Y 8192 128 +Y 8192 256 +Y 8192 512 +Y 8192 1024 +Y 8192 2048 +Y 8192 4096 +Y 16384 128 +Y 16384 256 +Y 16384 512 +Y 16384 1024 +Y 16384 2048 +Y 32768 128 +Y 32768 256 +Y 32768 512 +Y 32768 1024 +Y 32768 2048 +Y 65536 128 +Y 65536 256 +Y 65536 512 +Y 65536 1024 +Y 131072 128 +Y 131072 256 +Y 131072 512 +Y 262144 128 +Y 262144 256 +Y 524288 128 +Y 1048576 128 diff --git a/experiments/pro6000/dsv4_pro6000_vllm_tp_dp_matrix/adaptive_results/adaptive_20260717-175805/adaptive_points.jsonl b/experiments/pro6000/dsv4_pro6000_vllm_tp_dp_matrix/adaptive_results/adaptive_20260717-175805/adaptive_points.jsonl new file mode 100644 index 0000000..e69de29 diff --git a/experiments/pro6000/dsv4_pro6000_vllm_tp_dp_matrix/adaptive_results/adaptive_20260717-175805/adaptive_shapes.jsonl b/experiments/pro6000/dsv4_pro6000_vllm_tp_dp_matrix/adaptive_results/adaptive_20260717-175805/adaptive_shapes.jsonl new file mode 100644 index 0000000..e69de29 diff --git a/experiments/pro6000/dsv4_pro6000_vllm_tp_dp_matrix/adaptive_results/adaptive_20260717-175805/run_manifest.json b/experiments/pro6000/dsv4_pro6000_vllm_tp_dp_matrix/adaptive_results/adaptive_20260717-175805/run_manifest.json new file mode 100644 index 0000000..06386d8 --- /dev/null +++ b/experiments/pro6000/dsv4_pro6000_vllm_tp_dp_matrix/adaptive_results/adaptive_20260717-175805/run_manifest.json @@ -0,0 +1,27 @@ +{ + "experiment": "dsv4_pro6000_vllm_tp_dp_matrix", + "engine": "vllm", + "run_id": "adaptive_20260717-175805", + "model": "/data/6000D/DeepSeek-V4-Flash", + "hardware": "8x NVIDIA RTX 6000D 84GB", + "matrix": "/data/yy/sskj/experiments/pro6000/dsv4_pro6000_vllm_tp_dp_matrix/matrix.json", + "dataset": "random", + "tokenize_prompt": false, + "random_range_ratio": 1.0, + "search": { + "start_concurrency": 16, + "max_concurrency": 512, + "multiplier": 2, + "initial_backoff_concurrencies": [ + 8, + 1 + ], + "num_prompts_multiplier": 5, + "min_tps_gain_pct": 2.0, + "plateau_patience": 2, + "warmup_max_requests": 0, + "ttft_slo_ms": 4000.0, + "enable_ttft_slo_stop": 1, + "ttft_group_skip_ms": 0.0 + } +} diff --git a/experiments/pro6000/dsv4_pro6000_vllm_tp_dp_matrix/adaptive_results/adaptive_20260717-175805/shapes.tsv b/experiments/pro6000/dsv4_pro6000_vllm_tp_dp_matrix/adaptive_results/adaptive_20260717-175805/shapes.tsv new file mode 100644 index 0000000..e1f82e6 --- /dev/null +++ b/experiments/pro6000/dsv4_pro6000_vllm_tp_dp_matrix/adaptive_results/adaptive_20260717-175805/shapes.tsv @@ -0,0 +1,40 @@ +mark input_len output_len +Y 1024 128 +Y 1024 256 +Y 1024 512 +Y 1024 1024 +Y 1024 2048 +Y 1024 4096 +Y 4096 128 +Y 4096 256 +Y 4096 512 +Y 4096 1024 +Y 4096 2048 +Y 4096 4096 +Y 8192 128 +Y 8192 256 +Y 8192 512 +Y 8192 1024 +Y 8192 2048 +Y 8192 4096 +Y 16384 128 +Y 16384 256 +Y 16384 512 +Y 16384 1024 +Y 16384 2048 +Y 32768 128 +Y 32768 256 +Y 32768 512 +Y 32768 1024 +Y 32768 2048 +Y 65536 128 +Y 65536 256 +Y 65536 512 +Y 65536 1024 +Y 131072 128 +Y 131072 256 +Y 131072 512 +Y 262144 128 +Y 262144 256 +Y 524288 128 +Y 1048576 128 diff --git a/experiments/pro6000/dsv4_pro6000_vllm_tp_dp_matrix/adaptive_results/adaptive_20260717-180055/adaptive_points.jsonl b/experiments/pro6000/dsv4_pro6000_vllm_tp_dp_matrix/adaptive_results/adaptive_20260717-180055/adaptive_points.jsonl new file mode 100644 index 0000000..e69de29 diff --git a/experiments/pro6000/dsv4_pro6000_vllm_tp_dp_matrix/adaptive_results/adaptive_20260717-180055/adaptive_shapes.jsonl b/experiments/pro6000/dsv4_pro6000_vllm_tp_dp_matrix/adaptive_results/adaptive_20260717-180055/adaptive_shapes.jsonl new file mode 100644 index 0000000..e69de29 diff --git a/experiments/pro6000/dsv4_pro6000_vllm_tp_dp_matrix/adaptive_results/adaptive_20260717-180055/adaptive_summary.jsonl b/experiments/pro6000/dsv4_pro6000_vllm_tp_dp_matrix/adaptive_results/adaptive_20260717-180055/adaptive_summary.jsonl new file mode 100644 index 0000000..e69de29 diff --git a/experiments/pro6000/dsv4_pro6000_vllm_tp_dp_matrix/adaptive_results/adaptive_20260717-180055/adaptive_summary.md b/experiments/pro6000/dsv4_pro6000_vllm_tp_dp_matrix/adaptive_results/adaptive_20260717-180055/adaptive_summary.md new file mode 100644 index 0000000..1ba5678 --- /dev/null +++ b/experiments/pro6000/dsv4_pro6000_vllm_tp_dp_matrix/adaptive_results/adaptive_20260717-180055/adaptive_summary.md @@ -0,0 +1,6 @@ +# Adaptive concurrency search summary + +| Engine | TP | DP | ISL | OSL | Stop | Saturation C | Best TPS C | Best Total TPS | Max successful C | +|---|---:|---:|---:|---:|---|---:|---:|---:|---:| + +`Saturation C` is the first point in the final low-gain streak. `Best TPS C` is the tested point with the highest observed Total TPS. diff --git a/experiments/pro6000/dsv4_pro6000_vllm_tp_dp_matrix/adaptive_results/adaptive_20260717-180055/run_manifest.json b/experiments/pro6000/dsv4_pro6000_vllm_tp_dp_matrix/adaptive_results/adaptive_20260717-180055/run_manifest.json new file mode 100644 index 0000000..c88d700 --- /dev/null +++ b/experiments/pro6000/dsv4_pro6000_vllm_tp_dp_matrix/adaptive_results/adaptive_20260717-180055/run_manifest.json @@ -0,0 +1,27 @@ +{ + "experiment": "dsv4_pro6000_vllm_tp_dp_matrix", + "engine": "vllm", + "run_id": "adaptive_20260717-180055", + "model": "/data/6000D/DeepSeek-V4-Flash", + "hardware": "8x NVIDIA RTX 6000D 84GB", + "matrix": "/data/yy/sskj/experiments/pro6000/dsv4_pro6000_vllm_tp_dp_matrix/matrix.json", + "dataset": "random", + "tokenize_prompt": false, + "random_range_ratio": 1.0, + "search": { + "start_concurrency": 16, + "max_concurrency": 512, + "multiplier": 2, + "initial_backoff_concurrencies": [ + 8, + 1 + ], + "num_prompts_multiplier": 5, + "min_tps_gain_pct": 2.0, + "plateau_patience": 2, + "warmup_max_requests": 0, + "ttft_slo_ms": 4000.0, + "enable_ttft_slo_stop": 1, + "ttft_group_skip_ms": 0.0 + } +} diff --git a/experiments/pro6000/dsv4_pro6000_vllm_tp_dp_matrix/adaptive_results/adaptive_20260717-180055/shapes.tsv b/experiments/pro6000/dsv4_pro6000_vllm_tp_dp_matrix/adaptive_results/adaptive_20260717-180055/shapes.tsv new file mode 100644 index 0000000..e1f82e6 --- /dev/null +++ b/experiments/pro6000/dsv4_pro6000_vllm_tp_dp_matrix/adaptive_results/adaptive_20260717-180055/shapes.tsv @@ -0,0 +1,40 @@ +mark input_len output_len +Y 1024 128 +Y 1024 256 +Y 1024 512 +Y 1024 1024 +Y 1024 2048 +Y 1024 4096 +Y 4096 128 +Y 4096 256 +Y 4096 512 +Y 4096 1024 +Y 4096 2048 +Y 4096 4096 +Y 8192 128 +Y 8192 256 +Y 8192 512 +Y 8192 1024 +Y 8192 2048 +Y 8192 4096 +Y 16384 128 +Y 16384 256 +Y 16384 512 +Y 16384 1024 +Y 16384 2048 +Y 32768 128 +Y 32768 256 +Y 32768 512 +Y 32768 1024 +Y 32768 2048 +Y 65536 128 +Y 65536 256 +Y 65536 512 +Y 65536 1024 +Y 131072 128 +Y 131072 256 +Y 131072 512 +Y 262144 128 +Y 262144 256 +Y 524288 128 +Y 1048576 128 diff --git a/experiments/pro6000/dsv4_pro6000_vllm_tp_dp_matrix/adaptive_results/adaptive_20260717-180304/adaptive_points.jsonl b/experiments/pro6000/dsv4_pro6000_vllm_tp_dp_matrix/adaptive_results/adaptive_20260717-180304/adaptive_points.jsonl new file mode 100644 index 0000000..3437f68 --- /dev/null +++ b/experiments/pro6000/dsv4_pro6000_vllm_tp_dp_matrix/adaptive_results/adaptive_20260717-180304/adaptive_points.jsonl @@ -0,0 +1,5 @@ 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+{"timestamp":"2026-07-18T09:35:57+08:00","engine":"vllm","tp":4,"dp":2,"mark":"Y","isl":32768,"osl":1024,"status":"TTFT_BOUNDARY","stop_reason":"TTFT_SLO_EXCEEDED","tested_points":3,"search_cap":512,"max_successful_concurrency":1,"saturation_concurrency":null,"stop_probe_concurrency":1,"best_tps_concurrency":16,"best_total_tps":7860.120323351582,"last_total_tps":2108.4313776610893} +{"timestamp":"2026-07-18T09:52:39+08:00","engine":"vllm","tp":4,"dp":2,"mark":"Y","isl":32768,"osl":2048,"status":"TTFT_BOUNDARY","stop_reason":"TTFT_SLO_EXCEEDED","tested_points":3,"search_cap":512,"max_successful_concurrency":1,"saturation_concurrency":null,"stop_probe_concurrency":1,"best_tps_concurrency":16,"best_total_tps":6369.015894967426,"last_total_tps":1289.3602781960485} +{"timestamp":"2026-07-18T10:09:33+08:00","engine":"vllm","tp":4,"dp":2,"mark":"Y","isl":65536,"osl":128,"status":"TTFT_BOUNDARY","stop_reason":"TTFT_SLO_EXCEEDED","tested_points":3,"search_cap":512,"max_successful_concurrency":1,"saturation_concurrency":null,"stop_probe_concurrency":1,"best_tps_concurrency":16,"best_total_tps":10251.651820427502,"last_total_tps":5635.355775218764} +{"timestamp":"2026-07-18T10:26:21+08:00","engine":"vllm","tp":4,"dp":2,"mark":"Y","isl":65536,"osl":256,"status":"TTFT_BOUNDARY","stop_reason":"TTFT_SLO_EXCEEDED","tested_points":3,"search_cap":512,"max_successful_concurrency":1,"saturation_concurrency":null,"stop_probe_concurrency":1,"best_tps_concurrency":16,"best_total_tps":10383.66555341196,"last_total_tps":5039.039098907062} diff --git a/experiments/pro6000/dsv4_pro6000_vllm_tp_dp_matrix/adaptive_results/adaptive_20260717-183028/run_manifest.json b/experiments/pro6000/dsv4_pro6000_vllm_tp_dp_matrix/adaptive_results/adaptive_20260717-183028/run_manifest.json new file mode 100644 index 0000000..1dbe347 --- /dev/null +++ b/experiments/pro6000/dsv4_pro6000_vllm_tp_dp_matrix/adaptive_results/adaptive_20260717-183028/run_manifest.json @@ -0,0 +1,27 @@ +{ + "experiment": "dsv4_pro6000_vllm_tp_dp_matrix", + "engine": "vllm", + "run_id": "adaptive_20260717-183028", + "model": "/data/6000D/DeepSeek-V4-Flash", + "hardware": "8x NVIDIA RTX 6000D 84GB", + "matrix": "/data/yy/sskj/experiments/pro6000/dsv4_pro6000_vllm_tp_dp_matrix/matrix.json", + "dataset": "random", + "tokenize_prompt": false, + "random_range_ratio": 1.0, + "search": { + "start_concurrency": 16, + "max_concurrency": 512, + "multiplier": 2, + "initial_backoff_concurrencies": [ + 8, + 1 + ], + "num_prompts_multiplier": 5, + "min_tps_gain_pct": 2.0, + "plateau_patience": 2, + "warmup_max_requests": 0, + "ttft_slo_ms": 4000.0, + "enable_ttft_slo_stop": 1, + "ttft_group_skip_ms": 0.0 + } +} diff --git a/experiments/pro6000/dsv4_pro6000_vllm_tp_dp_matrix/adaptive_results/adaptive_20260717-183028/shapes.tsv b/experiments/pro6000/dsv4_pro6000_vllm_tp_dp_matrix/adaptive_results/adaptive_20260717-183028/shapes.tsv new file mode 100644 index 0000000..e1f82e6 --- /dev/null +++ b/experiments/pro6000/dsv4_pro6000_vllm_tp_dp_matrix/adaptive_results/adaptive_20260717-183028/shapes.tsv @@ -0,0 +1,40 @@ +mark input_len output_len +Y 1024 128 +Y 1024 256 +Y 1024 512 +Y 1024 1024 +Y 1024 2048 +Y 1024 4096 +Y 4096 128 +Y 4096 256 +Y 4096 512 +Y 4096 1024 +Y 4096 2048 +Y 4096 4096 +Y 8192 128 +Y 8192 256 +Y 8192 512 +Y 8192 1024 +Y 8192 2048 +Y 8192 4096 +Y 16384 128 +Y 16384 256 +Y 16384 512 +Y 16384 1024 +Y 16384 2048 +Y 32768 128 +Y 32768 256 +Y 32768 512 +Y 32768 1024 +Y 32768 2048 +Y 65536 128 +Y 65536 256 +Y 65536 512 +Y 65536 1024 +Y 131072 128 +Y 131072 256 +Y 131072 512 +Y 262144 128 +Y 262144 256 +Y 524288 128 +Y 1048576 128 diff --git a/experiments/pro6000/dsv4_pro6000_vllm_tp_dp_matrix/config.env b/experiments/pro6000/dsv4_pro6000_vllm_tp_dp_matrix/config.env index 1d37f9b..58650eb 100644 --- a/experiments/pro6000/dsv4_pro6000_vllm_tp_dp_matrix/config.env +++ b/experiments/pro6000/dsv4_pro6000_vllm_tp_dp_matrix/config.env @@ -48,10 +48,9 @@ DOCKER_IMAGE="${DOCKER_IMAGE:-vllm-sm120-dsv4:0.25.1-fi0.6.14}" # OpenAI-compatible API. DOCKER_CLIENT_IMAGE="${DOCKER_CLIENT_IMAGE:-sglang-sm120-dsv4:0.5.15.post1-fi0.6.14-sm120fix1}" -# Offline by default: random-ids generates token IDs without downloading data. # To use ShareGPT, set BENCH_DATASET_NAME=random and DATASET_PATH explicitly. -BENCH_DATASET_NAME="${BENCH_DATASET_NAME:-random-ids}" -DATASET_PATH="${DATASET_PATH:-}" +BENCH_DATASET_NAME="${BENCH_DATASET_NAME:-random}" +DATASET_PATH="${DATASET_PATH:-/data/yy/sskj/dataset/ShareGPT_V3_unfiltered_cleaned_split.json}" SGLANG_BENCH_MODULE="${SGLANG_BENCH_MODULE:-sglang.benchmark.serving}" CACHE_DIR="${CACHE_DIR:-/data/yy/sskj/vllm_sm120_cache}" diff --git a/experiments/pro6000/dsv4_pro6000_vllm_tp_dp_matrix/run_adaptive_concurrency.sh b/experiments/pro6000/dsv4_pro6000_vllm_tp_dp_matrix/run_adaptive_concurrency.sh index 1e0c315..ebe4b5e 100755 --- a/experiments/pro6000/dsv4_pro6000_vllm_tp_dp_matrix/run_adaptive_concurrency.sh +++ b/experiments/pro6000/dsv4_pro6000_vllm_tp_dp_matrix/run_adaptive_concurrency.sh @@ -134,6 +134,8 @@ engine_run_bench() { ) if [[ "$BENCH_DATASET_NAME" == "random" ]]; then bench_args+=(--dataset-path "$DATASET_PATH") + elif [[ "$BENCH_DATASET_NAME" == "random-ids" ]]; then + : # random-ids does not need --tokenize-prompt else bench_args+=(--tokenize-prompt) fi diff --git a/experiments/pro6000/dsv4_pro6000_vllm_tp_dp_matrix/run_adaptive_concurrency_add16.sh b/experiments/pro6000/dsv4_pro6000_vllm_tp_dp_matrix/run_adaptive_concurrency_add16.sh index aa1c47b..854e994 100755 --- a/experiments/pro6000/dsv4_pro6000_vllm_tp_dp_matrix/run_adaptive_concurrency_add16.sh +++ b/experiments/pro6000/dsv4_pro6000_vllm_tp_dp_matrix/run_adaptive_concurrency_add16.sh @@ -134,6 +134,8 @@ engine_run_bench() { ) if [[ "$BENCH_DATASET_NAME" == "random" ]]; then bench_args+=(--dataset-path "$DATASET_PATH") + elif [[ "$BENCH_DATASET_NAME" == "random-ids" ]]; then + : # random-ids does not need --tokenize-prompt else bench_args+=(--tokenize-prompt) fi diff --git a/experiments/pro6000/dsv4_pro6000_vllm_tp_dp_matrix/start_vllm_docker.sh b/experiments/pro6000/dsv4_pro6000_vllm_tp_dp_matrix/start_vllm_docker.sh index 14807a8..cd07631 100755 --- a/experiments/pro6000/dsv4_pro6000_vllm_tp_dp_matrix/start_vllm_docker.sh +++ b/experiments/pro6000/dsv4_pro6000_vllm_tp_dp_matrix/start_vllm_docker.sh @@ -84,21 +84,31 @@ echo $PID > "$PID_FILE" echo "PID: $PID" echo "Waiting for health on port ${PORT}..." -for i in $(seq 1 240); do +for i in $(seq 1 600); do if curl --fail --silent --show-error --max-time 5 "http://127.0.0.1:${PORT}/health" >/dev/null 2>&1; then echo "vLLM server is ready at http://127.0.0.1:${PORT}" echo "Log: $LOG" exit 0 fi - if ! kill -0 $PID 2>/dev/null; then - echo "ERROR: Docker vLLM server exited early" + # Check if the Docker container is still running (not the nohup PID). + # Allow a brief grace period for the container to appear in docker ps. + container_running=0 + for _ in $(seq 1 3); do + if docker ps --filter "name=${NAME}" --format '{{.Names}}' | grep -q "^${NAME}$"; then + container_running=1 + break + fi + sleep 1 + done + if [[ "$container_running" -eq 0 ]]; then + echo "ERROR: Docker vLLM container exited early" tail -200 "$LOG" exit 1 fi - echo "Waiting... ($i/240)" + echo "Waiting... ($i/600)" sleep 5 done -echo "ERROR: Docker vLLM server not healthy after 240 retries" +echo "ERROR: Docker vLLM server not healthy after 600 retries" tail -200 "$LOG" exit 1 diff --git a/experiments/pro6000/dsv4_pro6000_vllm_tp_dp_matrix/start_vllm_dp.sh b/experiments/pro6000/dsv4_pro6000_vllm_tp_dp_matrix/start_vllm_dp.sh index b8c0b02..d652590 100755 --- a/experiments/pro6000/dsv4_pro6000_vllm_tp_dp_matrix/start_vllm_dp.sh +++ b/experiments/pro6000/dsv4_pro6000_vllm_tp_dp_matrix/start_vllm_dp.sh @@ -66,7 +66,7 @@ echo $PID > "$PID_FILE" echo "PID: $PID" echo "Waiting for health on port ${VLLM_PORT}..." -for i in $(seq 1 240); do +for i in $(seq 1 600); do if curl --fail --silent --show-error --max-time 5 "http://127.0.0.1:${VLLM_PORT}/health" >/dev/null 2>&1; then echo "vLLM server is ready at http://127.0.0.1:${VLLM_PORT}" echo "Log: $LOG" @@ -77,10 +77,10 @@ for i in $(seq 1 240); do tail -200 "$LOG" exit 1 fi - echo "Waiting... ($i/240)" + echo "Waiting... ($i/600)" sleep 5 done -echo "ERROR: vLLM server not healthy after 240 retries" +echo "ERROR: vLLM server not healthy after 600 retries" tail -200 "$LOG" exit 1