From 91b49b340622c324797dd76742e9794681f456eb Mon Sep 17 00:00:00 2001 From: Kuntai Du Date: Sun, 11 Aug 2024 21:59:00 -0700 Subject: [PATCH 001/176] raise trt-llm to version 24.07 --- .../nightly-benchmarks/nightly-pipeline.yaml | 68 ++++++++--------- .../tests/nightly-tests.json | 76 ------------------- 2 files changed, 34 insertions(+), 110 deletions(-) diff --git a/.buildkite/nightly-benchmarks/nightly-pipeline.yaml b/.buildkite/nightly-benchmarks/nightly-pipeline.yaml index 6e399bb936fbc..40bd82e5162be 100644 --- a/.buildkite/nightly-benchmarks/nightly-pipeline.yaml +++ b/.buildkite/nightly-benchmarks/nightly-pipeline.yaml @@ -46,45 +46,45 @@ steps: podSpec: <<: *common_pod_spec containers: - - image: nvcr.io/nvidia/tritonserver:24.04-trtllm-python-py3 + - image: nvcr.io/nvidia/tritonserver:24.07-trtllm-python-py3 <<: *common_container_settings - - label: "A100 lmdeploy benchmark" - priority: 100 - agents: - queue: A100 - plugins: - - kubernetes: - podSpec: - <<: *common_pod_spec - containers: - - image: openmmlab/lmdeploy:v0.5.0 - <<: *common_container_settings + # - label: "A100 lmdeploy benchmark" + # priority: 100 + # agents: + # queue: A100 + # plugins: + # - kubernetes: + # podSpec: + # <<: *common_pod_spec + # containers: + # - image: openmmlab/lmdeploy:v0.5.0 + # <<: *common_container_settings - - label: "A100 vllm benchmark" - priority: 100 - agents: - queue: A100 - plugins: - - kubernetes: - podSpec: - <<: *common_pod_spec - containers: - - image: vllm/vllm-openai:latest - <<: *common_container_settings + # - label: "A100 vllm benchmark" + # priority: 100 + # agents: + # queue: A100 + # plugins: + # - kubernetes: + # podSpec: + # <<: *common_pod_spec + # containers: + # - image: vllm/vllm-openai:latest + # <<: *common_container_settings - - label: "A100 tgi benchmark" - priority: 100 - agents: - queue: A100 - plugins: - - kubernetes: - podSpec: - <<: *common_pod_spec - containers: - - image: ghcr.io/huggingface/text-generation-inference:2.1 - <<: *common_container_settings + # - label: "A100 tgi benchmark" + # priority: 100 + # agents: + # queue: A100 + # plugins: + # - kubernetes: + # podSpec: + # <<: *common_pod_spec + # containers: + # - image: ghcr.io/huggingface/text-generation-inference:2.1 + # <<: *common_container_settings - wait diff --git a/.buildkite/nightly-benchmarks/tests/nightly-tests.json b/.buildkite/nightly-benchmarks/tests/nightly-tests.json index f250833c62710..0f2ac3be3df81 100644 --- a/.buildkite/nightly-benchmarks/tests/nightly-tests.json +++ b/.buildkite/nightly-benchmarks/tests/nightly-tests.json @@ -36,81 +36,5 @@ }, "vllm_client_parameters": { } - }, - { - "test_name": "llama70B_tp4", - "qps_list": [2], - "common_parameters": { - "model": "meta-llama/Meta-Llama-3-70B-Instruct", - "tp": 4, - "dataset_name": "sharegpt", - "dataset_path": "./ShareGPT_V3_unfiltered_cleaned_split.json", - "num_prompts": 500, - "port": 8000 - }, - "lmdeploy_server_parameters": { - }, - "lmdeploy_client_parameters": { - }, - "tgi_server_parameters": { - }, - "tgi_client_parameters": { - "endpoint": "/generate_stream" - }, - "trt_server_parameters": { - "model_type": "llama", - "model_dtype": "float16", - "max_batch_size": 256, - "max_input_len": 4096, - "max_output_len": 4096, - "trt_llm_version": "r24.04" - }, - "trt_client_parameters": { - "endpoint": "/v2/models/ensemble/generate_stream" - }, - "vllm_server_parameters": { - "disable_log_stats": "", - "disable_log_requests": "" - }, - "vllm_client_parameters": { - } - }, - { - "test_name": "mixtral8x7B_tp2", - "qps_list": [2], - "common_parameters": { - "model": "mistralai/Mixtral-8x7B-Instruct-v0.1", - "tp": 2, - "dataset_name": "sharegpt", - "dataset_path": "./ShareGPT_V3_unfiltered_cleaned_split.json", - "num_prompts": 500, - "port": 8000 - }, - "lmdeploy_server_parameters": { - }, - "lmdeploy_client_parameters": { - }, - "tgi_server_parameters": { - }, - "tgi_client_parameters": { - "endpoint": "/generate_stream" - }, - "trt_server_parameters": { - "model_type": "llama", - "model_dtype": "float16", - "max_batch_size": 256, - "max_input_len": 4096, - "max_output_len": 4096, - "trt_llm_version": "r24.04" - }, - "trt_client_parameters": { - "endpoint": "/v2/models/ensemble/generate_stream" - }, - "vllm_server_parameters": { - "disable_log_stats": "", - "disable_log_requests": "" - }, - "vllm_client_parameters": { - } } ] \ No newline at end of file From e61fa291f75f25de8d7455a8ac070fd4cf2208b9 Mon Sep 17 00:00:00 2001 From: Kuntai Du Date: Sun, 11 Aug 2024 23:11:00 -0700 Subject: [PATCH 002/176] adjust the way of processing protobuf files --- .../scripts/launch-trt-server.sh | 28 +++++++++---------- 1 file changed, 13 insertions(+), 15 deletions(-) diff --git a/.buildkite/nightly-benchmarks/scripts/launch-trt-server.sh b/.buildkite/nightly-benchmarks/scripts/launch-trt-server.sh index f8262653a6628..800b65c350ad2 100644 --- a/.buildkite/nightly-benchmarks/scripts/launch-trt-server.sh +++ b/.buildkite/nightly-benchmarks/scripts/launch-trt-server.sh @@ -24,20 +24,6 @@ models_dir=$(pwd) trt_model_path=${models_dir}/${model_name}-trt-ckpt trt_engine_path=${models_dir}/${model_name}-trt-engine -cd ~ -rm -rf tensorrt-demo -git clone https://github.com/neuralmagic/tensorrt-demo.git -cd tensorrt-demo -tensorrt_demo_dir=$(pwd) - -# make sure the parameter inside tensorrt_demo is consistent to envvar -sed -i.bak "/key: \"tokenizer_dir\"/,/string_value:/s|string_value: \".*\"|string_value: \"$model_path\"|" ./triton_model_repo/postprocessing/config.pbtxt -sed -i.bak "/key: \"tokenizer_dir\"/,/string_value:/s|string_value: \".*\"|string_value: \"$model_path\"|" ./triton_model_repo/preprocessing/config.pbtxt -sed -i.bak "s|\(max_batch_size:\s*\)[0-9]*|\1$max_batch_size|g" ./triton_model_repo/ensemble/config.pbtxt -sed -i.bak "s|\(max_batch_size:\s*\)[0-9]*|\1$max_batch_size|g" ./triton_model_repo/preprocessing/config.pbtxt -sed -i.bak "s|\(max_batch_size:\s*\)[0-9]*|\1$max_batch_size|g" ./triton_model_repo/postprocessing/config.pbtxt -sed -i.bak "s|\(max_batch_size:\s*\)[0-9]*|\1$max_batch_size|g" ./triton_model_repo/tensorrt_llm_bls/config.pbtxt - cd / rm -rf tensorrtllm_backend @@ -47,7 +33,19 @@ cd tensorrtllm_backend git checkout $trt_llm_version tensorrtllm_backend_dir=$(pwd) git submodule update --init --recursive -cp -r ${tensorrt_demo_dir}/triton_model_repo ${tensorrtllm_backend_dir}/ + + +# handle protobuf files +mkdir triton_model_repo +cp -r all_models/inflight_batcher_llm/* triton_model_repo/ +# set tokenizer and max_batch_size in protobuf files +sed -i.bak "/key: \"tokenizer_dir\"/,/string_value:/s|string_value: \".*\"|string_value: \"$model_path\"|" ./triton_model_repo/postprocessing/config.pbtxt +sed -i.bak "/key: \"tokenizer_dir\"/,/string_value:/s|string_value: \".*\"|string_value: \"$model_path\"|" ./triton_model_repo/preprocessing/config.pbtxt +sed -i.bak "s|\(max_batch_size:\s*\)[0-9]*|\1$max_batch_size|g" ./triton_model_repo/ensemble/config.pbtxt +sed -i.bak "s|\(max_batch_size:\s*\)[0-9]*|\1$max_batch_size|g" ./triton_model_repo/preprocessing/config.pbtxt +sed -i.bak "s|\(max_batch_size:\s*\)[0-9]*|\1$max_batch_size|g" ./triton_model_repo/postprocessing/config.pbtxt +sed -i.bak "s|\(max_batch_size:\s*\)[0-9]*|\1$max_batch_size|g" ./triton_model_repo/tensorrt_llm_bls/config.pbtxt + cd /tensorrtllm_backend cd ./tensorrt_llm/examples/${model_type} From 00aaefa08d06e3a107d0f2ddc52c73de8b523ccc Mon Sep 17 00:00:00 2001 From: Kuntai Du Date: Sun, 11 Aug 2024 23:11:20 -0700 Subject: [PATCH 003/176] bump up trt-llm to r24.07 --- .buildkite/nightly-benchmarks/tests/nightly-tests.json | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.buildkite/nightly-benchmarks/tests/nightly-tests.json b/.buildkite/nightly-benchmarks/tests/nightly-tests.json index 0f2ac3be3df81..66ad1d1066b4c 100644 --- a/.buildkite/nightly-benchmarks/tests/nightly-tests.json +++ b/.buildkite/nightly-benchmarks/tests/nightly-tests.json @@ -25,7 +25,7 @@ "max_batch_size": 256, "max_input_len": 4096, "max_output_len": 4096, - "trt_llm_version": "r24.04" + "trt_llm_version": "r24.07" }, "trt_client_parameters": { "endpoint": "/v2/models/ensemble/generate_stream" From 7d4b1f0997ae851e5a8a6d2349ca3461ee6af43a Mon Sep 17 00:00:00 2001 From: Kuntai Du Date: Sun, 11 Aug 2024 23:11:43 -0700 Subject: [PATCH 004/176] avoid pip upgrade transformers -- no longer needed --- .buildkite/nightly-benchmarks/scripts/run-trt-nightly.sh | 3 --- 1 file changed, 3 deletions(-) diff --git a/.buildkite/nightly-benchmarks/scripts/run-trt-nightly.sh b/.buildkite/nightly-benchmarks/scripts/run-trt-nightly.sh index 4a82b9ec64d71..c5c616fabd989 100644 --- a/.buildkite/nightly-benchmarks/scripts/run-trt-nightly.sh +++ b/.buildkite/nightly-benchmarks/scripts/run-trt-nightly.sh @@ -200,9 +200,6 @@ main() { mkdir -p $RESULTS_FOLDER BENCHMARK_ROOT=../.buildkite/nightly-benchmarks/ - # update transformers package, to make sure mixtral tokenizer is available - python -m pip install transformers -U - export CURRENT_LLM_SERVING_ENGINE=trt run_serving_tests $BENCHMARK_ROOT/tests/nightly-tests.json python -m pip install tabulate pandas From c67deaa9bbb82b7229be19dcef7c962026a47089 Mon Sep 17 00:00:00 2001 From: Kuntai Du Date: Sun, 11 Aug 2024 23:18:59 -0700 Subject: [PATCH 005/176] change tokenizer_dir --- .buildkite/nightly-benchmarks/scripts/launch-trt-server.sh | 4 ---- 1 file changed, 4 deletions(-) diff --git a/.buildkite/nightly-benchmarks/scripts/launch-trt-server.sh b/.buildkite/nightly-benchmarks/scripts/launch-trt-server.sh index 800b65c350ad2..69066cc94b0fd 100644 --- a/.buildkite/nightly-benchmarks/scripts/launch-trt-server.sh +++ b/.buildkite/nightly-benchmarks/scripts/launch-trt-server.sh @@ -41,10 +41,6 @@ cp -r all_models/inflight_batcher_llm/* triton_model_repo/ # set tokenizer and max_batch_size in protobuf files sed -i.bak "/key: \"tokenizer_dir\"/,/string_value:/s|string_value: \".*\"|string_value: \"$model_path\"|" ./triton_model_repo/postprocessing/config.pbtxt sed -i.bak "/key: \"tokenizer_dir\"/,/string_value:/s|string_value: \".*\"|string_value: \"$model_path\"|" ./triton_model_repo/preprocessing/config.pbtxt -sed -i.bak "s|\(max_batch_size:\s*\)[0-9]*|\1$max_batch_size|g" ./triton_model_repo/ensemble/config.pbtxt -sed -i.bak "s|\(max_batch_size:\s*\)[0-9]*|\1$max_batch_size|g" ./triton_model_repo/preprocessing/config.pbtxt -sed -i.bak "s|\(max_batch_size:\s*\)[0-9]*|\1$max_batch_size|g" ./triton_model_repo/postprocessing/config.pbtxt -sed -i.bak "s|\(max_batch_size:\s*\)[0-9]*|\1$max_batch_size|g" ./triton_model_repo/tensorrt_llm_bls/config.pbtxt cd /tensorrtllm_backend From f7901f198601629dd06bb17ce4b685a47e5f385c Mon Sep 17 00:00:00 2001 From: Kuntai Du Date: Mon, 12 Aug 2024 21:58:27 -0700 Subject: [PATCH 006/176] fall back to using protobuf files from tensorrt-demo --- .../scripts/launch-trt-server.sh | 26 +++++++++++++------ 1 file changed, 18 insertions(+), 8 deletions(-) diff --git a/.buildkite/nightly-benchmarks/scripts/launch-trt-server.sh b/.buildkite/nightly-benchmarks/scripts/launch-trt-server.sh index 69066cc94b0fd..a930eedba7813 100644 --- a/.buildkite/nightly-benchmarks/scripts/launch-trt-server.sh +++ b/.buildkite/nightly-benchmarks/scripts/launch-trt-server.sh @@ -25,6 +25,23 @@ trt_model_path=${models_dir}/${model_name}-trt-ckpt trt_engine_path=${models_dir}/${model_name}-trt-engine +# get protobuf files from tensorrt-demo +cd ~ +rm -rf tensorrt-demo +git clone https://github.com/neuralmagic/tensorrt-demo.git +cd tensorrt-demo +tensorrt_demo_dir=$(pwd) + +# adjust tokenizer and max_batch_size in protobuf files +sed -i.bak "/key: \"tokenizer_dir\"/,/string_value:/s|string_value: \".*\"|string_value: \"$model_path\"|" ./triton_model_repo/postprocessing/config.pbtxt +sed -i.bak "/key: \"tokenizer_dir\"/,/string_value:/s|string_value: \".*\"|string_value: \"$model_path\"|" ./triton_model_repo/preprocessing/config.pbtxt +sed -i.bak "s|\(max_batch_size:\s*\)[0-9]*|\1$max_batch_size|g" ./triton_model_repo/ensemble/config.pbtxt +sed -i.bak "s|\(max_batch_size:\s*\)[0-9]*|\1$max_batch_size|g" ./triton_model_repo/preprocessing/config.pbtxt +sed -i.bak "s|\(max_batch_size:\s*\)[0-9]*|\1$max_batch_size|g" ./triton_model_repo/postprocessing/config.pbtxt +sed -i.bak "s|\(max_batch_size:\s*\)[0-9]*|\1$max_batch_size|g" ./triton_model_repo/tensorrt_llm_bls/config.pbtxt + + + cd / rm -rf tensorrtllm_backend git clone https://github.com/triton-inference-server/tensorrtllm_backend.git @@ -33,14 +50,7 @@ cd tensorrtllm_backend git checkout $trt_llm_version tensorrtllm_backend_dir=$(pwd) git submodule update --init --recursive - - -# handle protobuf files -mkdir triton_model_repo -cp -r all_models/inflight_batcher_llm/* triton_model_repo/ -# set tokenizer and max_batch_size in protobuf files -sed -i.bak "/key: \"tokenizer_dir\"/,/string_value:/s|string_value: \".*\"|string_value: \"$model_path\"|" ./triton_model_repo/postprocessing/config.pbtxt -sed -i.bak "/key: \"tokenizer_dir\"/,/string_value:/s|string_value: \".*\"|string_value: \"$model_path\"|" ./triton_model_repo/preprocessing/config.pbtxt +cp -r ${tensorrt_demo_dir}/triton_model_repo ${tensorrtllm_backend_dir}/ cd /tensorrtllm_backend From 2e9c063c96b5686ff5a48c4399dd3b8118d772d7 Mon Sep 17 00:00:00 2001 From: Kuntai Du Date: Mon, 12 Aug 2024 22:13:08 -0700 Subject: [PATCH 007/176] replace python to python3 --- .buildkite/nightly-benchmarks/scripts/run-trt-nightly.sh | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/.buildkite/nightly-benchmarks/scripts/run-trt-nightly.sh b/.buildkite/nightly-benchmarks/scripts/run-trt-nightly.sh index c5c616fabd989..903939887d22d 100644 --- a/.buildkite/nightly-benchmarks/scripts/run-trt-nightly.sh +++ b/.buildkite/nightly-benchmarks/scripts/run-trt-nightly.sh @@ -116,7 +116,7 @@ run_serving_tests() { cd $VLLM_SOURCE_CODE_LOC/benchmarks rm -rf /tokenizer_cache mkdir /tokenizer_cache - python ../.buildkite/nightly-benchmarks/scripts/download-tokenizer.py \ + python3 ../.buildkite/nightly-benchmarks/scripts/download-tokenizer.py \ --model "$model" \ --cachedir /tokenizer_cache cd $VLLM_SOURCE_CODE_LOC/benchmarks @@ -202,8 +202,8 @@ main() { export CURRENT_LLM_SERVING_ENGINE=trt run_serving_tests $BENCHMARK_ROOT/tests/nightly-tests.json - python -m pip install tabulate pandas - python $BENCHMARK_ROOT/scripts/summary-nightly-results.py + python3 -m pip install tabulate pandas + python3 $BENCHMARK_ROOT/scripts/summary-nightly-results.py upload_to_buildkite } From 4e154093066953965f15994238e6999188f4cc38 Mon Sep 17 00:00:00 2001 From: Kuntai Du Date: Mon, 12 Aug 2024 22:35:38 -0700 Subject: [PATCH 008/176] include sglang --- .buildkite/nightly-benchmarks/nightly-pipeline.yaml | 13 +++++++++++++ 1 file changed, 13 insertions(+) diff --git a/.buildkite/nightly-benchmarks/nightly-pipeline.yaml b/.buildkite/nightly-benchmarks/nightly-pipeline.yaml index 40bd82e5162be..e7ba52bee6e2c 100644 --- a/.buildkite/nightly-benchmarks/nightly-pipeline.yaml +++ b/.buildkite/nightly-benchmarks/nightly-pipeline.yaml @@ -37,6 +37,19 @@ common_container_settings: &common_container_settings steps: - block: ":rocket: Ready for comparing vllm against alternatives? This will take 4 hours." + + - label: "A100 sglang benchmark" + priority: 100 + agents: + queue: A100 + plugins: + - kubernetes: + podSpec: + <<: *common_pod_spec + containers: + - image: lmsysorg/sglang:v0.2.12-cu118 + <<: *common_container_settings + - label: "A100 trt benchmark" priority: 100 agents: From 5f880ae1629a9eee4f56f077ce6e29258085a498 Mon Sep 17 00:00:00 2001 From: Kuntai Du Date: Mon, 12 Aug 2024 22:38:40 -0700 Subject: [PATCH 009/176] add sglang to the gateway script --- .buildkite/nightly-benchmarks/run-nightly-suite.sh | 7 +++++++ 1 file changed, 7 insertions(+) diff --git a/.buildkite/nightly-benchmarks/run-nightly-suite.sh b/.buildkite/nightly-benchmarks/run-nightly-suite.sh index 627a3e6971578..8ec44cb7ab75f 100644 --- a/.buildkite/nightly-benchmarks/run-nightly-suite.sh +++ b/.buildkite/nightly-benchmarks/run-nightly-suite.sh @@ -64,6 +64,13 @@ main() { exit 0 fi + # run sglang + if [ -e /sgl-workspace ]; then + echo "SGLang is available, redirect to run-sgl-nightly.sh" + bash ../.buildkite/nightly-benchmarks/scripts/run-sgl-nightly.sh + exit 0 + fi + # run vllm if [ -e /vllm-workspace ]; then echo "vllm is available, redirect to run-vllm-nightly.sh" From b74d95aed07fac3f22620650712bcb0582ee7e96 Mon Sep 17 00:00:00 2001 From: Kuntai Du Date: Mon, 12 Aug 2024 22:39:48 -0700 Subject: [PATCH 010/176] add sglang benchmarking script --- .../scripts/run-sgl-nightly.sh | 217 ++++++++++++++++++ 1 file changed, 217 insertions(+) create mode 100644 .buildkite/nightly-benchmarks/scripts/run-sgl-nightly.sh diff --git a/.buildkite/nightly-benchmarks/scripts/run-sgl-nightly.sh b/.buildkite/nightly-benchmarks/scripts/run-sgl-nightly.sh new file mode 100644 index 0000000000000..75931e8c5e42f --- /dev/null +++ b/.buildkite/nightly-benchmarks/scripts/run-sgl-nightly.sh @@ -0,0 +1,217 @@ +#!/bin/bash + +set -o pipefail + +check_gpus() { + # check the number of GPUs and GPU type. + declare -g gpu_count=$(nvidia-smi --list-gpus | wc -l) + if [[ $gpu_count -gt 0 ]]; then + echo "GPU found." + else + echo "Need at least 1 GPU to run benchmarking." + exit 1 + fi + declare -g gpu_type=$(echo $(nvidia-smi --query-gpu=name --format=csv,noheader) | awk '{print $2}') + echo "GPU type is $gpu_type" +} + +kill_gpu_processes() { + # kill all processes on GPU. + pkill pt_main_thread + sleep 10 + + + # Print the GPU memory usage + # so that we know if all GPU processes are killed. + gpu_memory_usage=$(nvidia-smi --query-gpu=memory.used --format=csv,noheader,nounits -i 0) + # The memory usage should be 0 MB. + echo "GPU 0 Memory Usage: $gpu_memory_usage MB" +} + +json2args() { + # transforms the JSON string to command line args, and '_' is replaced to '-' + # example: + # input: { "model": "meta-llama/Llama-2-7b-chat-hf", "tensor_parallel_size": 1 } + # output: --model meta-llama/Llama-2-7b-chat-hf --tensor-parallel-size 1 + local json_string=$1 + local args=$( + echo "$json_string" | jq -r ' + to_entries | + map("--" + (.key | gsub("_"; "-")) + " " + (.value | tostring)) | + join(" ") + ' + ) + echo "$args" +} + +wait_for_server() { + timeout 1200 bash -c ' + until curl -s localhost:8000/v1/completions > /dev/null; do + sleep 1 + done' && return 0 || return 1 +} + +run_serving_tests() { + # run serving tests using `benchmark_serving.py` + # $1: a json file specifying serving test cases + + local serving_test_file + serving_test_file=$1 + + # Iterate over serving tests + jq -c '.[]' "$serving_test_file" | while read -r params; do + # get the test name, and append the GPU type back to it. + test_name=$(echo "$params" | jq -r '.test_name') + + # if TEST_SELECTOR is set, only run the test cases that match the selector + if [[ -n "$TEST_SELECTOR" ]] && [[ ! "$test_name" =~ $TEST_SELECTOR ]]; then + echo "Skip test case $test_name." + continue + fi + + # append vllm to the test name + test_name=sgl_$test_name + + + # get common parameters + common_params=$(echo "$params" | jq -r '.common_parameters') + model=$(echo "$common_params" | jq -r '.model') + tp=$(echo "$common_params" | jq -r '.tp') + dataset_name=$(echo "$common_params" | jq -r '.dataset_name') + dataset_path=$(echo "$common_params" | jq -r '.dataset_path') + port=$(echo "$common_params" | jq -r '.port') + num_prompts=$(echo "$common_params" | jq -r '.num_prompts') + + # get client and server arguments + server_params=$(echo "$params" | jq -r '.sgl_server_parameters') + client_params=$(echo "$params" | jq -r '.sgl_client_parameters') + server_args=$(json2args "$server_params") + client_args=$(json2args "$client_params") + qps_list=$(echo "$params" | jq -r '.qps_list') + qps_list=$(echo "$qps_list" | jq -r '.[] | @sh') + echo "Running over qps list $qps_list" + + # check if there is enough GPU to run the test + if [[ $gpu_count -lt $tp ]]; then + echo "Required tensor-parallel-size $tp but only $gpu_count GPU found. Skip testcase $test_name." + continue + fi + + if echo "$common_params" | jq -e 'has("fp8")' > /dev/null; then + echo "Key 'fp8' exists in common params. Use neuralmagic fp8 model for convenience." + model=$(echo "$common_params" | jq -r '.neuralmagic_quantized_model') + server_command="python3 \ + -m sglang.launch_server \ + --tp $tp \ + --model-path $model \ + --port $port \ + $server_args" + else + echo "Key 'fp8' does not exist in common params." + server_command="python3 \ + -m sglang.launch_server \ + --tp $tp \ + --model-path $model \ + --port $port \ + $server_args" + fi + + # run the server + echo "Running test case $test_name" + echo "Server command: $server_command" + eval "$server_command" & + + # wait until the server is alive + wait_for_server + if [ $? -eq 0 ]; then + echo "" + echo "sgl server is up and running." + else + echo "" + echo "sgl failed to start within the timeout period." + break + fi + + # iterate over different QPS + for qps in $qps_list; do + # remove the surrounding single quote from qps + if [[ "$qps" == *"inf"* ]]; then + echo "qps was $qps" + qps="inf" + echo "now qps is $qps" + fi + + new_test_name=$test_name"_qps_"$qps + + client_command="python3 benchmark_serving.py \ + --backend sglang \ + --model $model \ + --dataset-name $dataset_name \ + --dataset-path $dataset_path \ + --num-prompts $num_prompts \ + --port $port \ + --save-result \ + --result-dir $RESULTS_FOLDER \ + --result-filename ${new_test_name}.json \ + --request-rate $qps \ + $client_args" + + echo "Running test case $test_name with qps $qps" + echo "Client command: $client_command" + + eval "$client_command" + + # record the benchmarking commands + jq_output=$(jq -n \ + --arg server "$server_command" \ + --arg client "$client_command" \ + --arg gpu "$gpu_type" \ + --arg engine "sgl" \ + '{ + server_command: $server, + client_command: $client, + gpu_type: $gpu, + engine: $engine + }') + echo "$jq_output" >"$RESULTS_FOLDER/${new_test_name}.commands" + + done + + # clean up + kill_gpu_processes + rm -rf /root/.cache/huggingface/* + done +} + + +upload_to_buildkite() { + # upload the benchmarking results to buildkite + + # if the agent binary is not found, skip uploading the results, exit 0 + if [ ! -f /workspace/buildkite-agent ]; then + echo "buildkite-agent binary not found. Skip uploading the results." + return 0 + fi + # /workspace/buildkite-agent annotate --style "success" --context "benchmark-results" --append < $RESULTS_FOLDER/${CURRENT_LLM_SERVING_ENGINE}_nightly_results.md + /workspace/buildkite-agent artifact upload "$RESULTS_FOLDER/*" +} + +main() { + + check_gpus + # enter vllm directory + cd $VLLM_SOURCE_CODE_LOC/benchmarks + declare -g RESULTS_FOLDER=results/ + mkdir -p $RESULTS_FOLDER + BENCHMARK_ROOT=../.buildkite/nightly-benchmarks/ + + export CURRENT_LLM_SERVING_ENGINE=sgl + run_serving_tests $BENCHMARK_ROOT/tests/nightly-tests.json + + python3 -m pip install tabulate pandas + python3 $BENCHMARK_ROOT/scripts/summary-nightly-results.py + upload_to_buildkite + +} + +main "$@" \ No newline at end of file From fc2f8508182028237b66fac5cf1e6ddfd50c4f7b Mon Sep 17 00:00:00 2001 From: Kuntai Du Date: Mon, 12 Aug 2024 22:41:19 -0700 Subject: [PATCH 011/176] add vllm host ip --- .buildkite/nightly-benchmarks/scripts/run-vllm-nightly.sh | 3 +++ 1 file changed, 3 insertions(+) diff --git a/.buildkite/nightly-benchmarks/scripts/run-vllm-nightly.sh b/.buildkite/nightly-benchmarks/scripts/run-vllm-nightly.sh index 663045b8a9122..86ef07b4b6b91 100644 --- a/.buildkite/nightly-benchmarks/scripts/run-vllm-nightly.sh +++ b/.buildkite/nightly-benchmarks/scripts/run-vllm-nightly.sh @@ -202,6 +202,9 @@ upload_to_buildkite() { main() { + + export VLLM_HOST_IP=$(hostname -I | awk '{print $1}') + check_gpus # enter vllm directory cd $VLLM_SOURCE_CODE_LOC/benchmarks From 0a3bfae5844a1039fb8043abb3c2a04858270a94 Mon Sep 17 00:00:00 2001 From: Kuntai Du Date: Mon, 12 Aug 2024 22:42:42 -0700 Subject: [PATCH 012/176] only enable sglang for testing --- .../nightly-benchmarks/nightly-pipeline.yaml | 22 +++++++++---------- 1 file changed, 11 insertions(+), 11 deletions(-) diff --git a/.buildkite/nightly-benchmarks/nightly-pipeline.yaml b/.buildkite/nightly-benchmarks/nightly-pipeline.yaml index e7ba52bee6e2c..5a73fdd5bd5ef 100644 --- a/.buildkite/nightly-benchmarks/nightly-pipeline.yaml +++ b/.buildkite/nightly-benchmarks/nightly-pipeline.yaml @@ -50,17 +50,17 @@ steps: - image: lmsysorg/sglang:v0.2.12-cu118 <<: *common_container_settings - - label: "A100 trt benchmark" - priority: 100 - agents: - queue: A100 - plugins: - - kubernetes: - podSpec: - <<: *common_pod_spec - containers: - - image: nvcr.io/nvidia/tritonserver:24.07-trtllm-python-py3 - <<: *common_container_settings + # - label: "A100 trt benchmark" + # priority: 100 + # agents: + # queue: A100 + # plugins: + # - kubernetes: + # podSpec: + # <<: *common_pod_spec + # containers: + # - image: nvcr.io/nvidia/tritonserver:24.07-trtllm-python-py3 + # <<: *common_container_settings # - label: "A100 lmdeploy benchmark" # priority: 100 From 89c7fe84aac5832bfc5d3dfa3778c500f24bfcdc Mon Sep 17 00:00:00 2001 From: Kuntai Du Date: Mon, 12 Aug 2024 22:44:30 -0700 Subject: [PATCH 013/176] add sglang server parameters --- .buildkite/nightly-benchmarks/tests/nightly-tests.json | 2 ++ 1 file changed, 2 insertions(+) diff --git a/.buildkite/nightly-benchmarks/tests/nightly-tests.json b/.buildkite/nightly-benchmarks/tests/nightly-tests.json index 66ad1d1066b4c..e178022f8d819 100644 --- a/.buildkite/nightly-benchmarks/tests/nightly-tests.json +++ b/.buildkite/nightly-benchmarks/tests/nightly-tests.json @@ -35,6 +35,8 @@ "disable_log_requests": "" }, "vllm_client_parameters": { + }, + "sglang_server_parameters": { } } ] \ No newline at end of file From cbbcbd0851c379fbb29426b114d52e4872b0b9db Mon Sep 17 00:00:00 2001 From: Kuntai Du Date: Mon, 12 Aug 2024 22:45:04 -0700 Subject: [PATCH 014/176] use Llama 3.1 instead of llama3 --- .buildkite/nightly-benchmarks/tests/nightly-tests.json | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.buildkite/nightly-benchmarks/tests/nightly-tests.json b/.buildkite/nightly-benchmarks/tests/nightly-tests.json index e178022f8d819..2db7d15a073b7 100644 --- a/.buildkite/nightly-benchmarks/tests/nightly-tests.json +++ b/.buildkite/nightly-benchmarks/tests/nightly-tests.json @@ -3,7 +3,7 @@ "test_name": "llama8B_tp1", "qps_list": [4], "common_parameters": { - "model": "meta-llama/Meta-Llama-3-8B", + "model": "meta-llama/Meta-Llama-3.1-8B-Instruct", "tp": 1, "dataset_name": "sharegpt", "dataset_path": "./ShareGPT_V3_unfiltered_cleaned_split.json", From 0648d9e710e6627526cf0569a83e5818d54245c3 Mon Sep 17 00:00:00 2001 From: Kuntai Du Date: Mon, 12 Aug 2024 22:45:22 -0700 Subject: [PATCH 015/176] bring back vllm for testing --- .../nightly-benchmarks/nightly-pipeline.yaml | 22 +++++++++---------- 1 file changed, 11 insertions(+), 11 deletions(-) diff --git a/.buildkite/nightly-benchmarks/nightly-pipeline.yaml b/.buildkite/nightly-benchmarks/nightly-pipeline.yaml index 5a73fdd5bd5ef..210037ffd588f 100644 --- a/.buildkite/nightly-benchmarks/nightly-pipeline.yaml +++ b/.buildkite/nightly-benchmarks/nightly-pipeline.yaml @@ -75,17 +75,17 @@ steps: # <<: *common_container_settings - # - label: "A100 vllm benchmark" - # priority: 100 - # agents: - # queue: A100 - # plugins: - # - kubernetes: - # podSpec: - # <<: *common_pod_spec - # containers: - # - image: vllm/vllm-openai:latest - # <<: *common_container_settings + - label: "A100 vllm benchmark" + priority: 100 + agents: + queue: A100 + plugins: + - kubernetes: + podSpec: + <<: *common_pod_spec + containers: + - image: vllm/vllm-openai:latest + <<: *common_container_settings # - label: "A100 tgi benchmark" # priority: 100 From 7f16b6452124bb8b135d9e1f2162e2e3f5d9aaff Mon Sep 17 00:00:00 2001 From: Kuntai Du Date: Mon, 12 Aug 2024 23:12:23 -0700 Subject: [PATCH 016/176] add sglang into backend request func --- benchmarks/backend_request_func.py | 1 + 1 file changed, 1 insertion(+) diff --git a/benchmarks/backend_request_func.py b/benchmarks/backend_request_func.py index 3b4e31eaa712e..b2146a517e4ac 100644 --- a/benchmarks/backend_request_func.py +++ b/benchmarks/backend_request_func.py @@ -424,4 +424,5 @@ def get_tokenizer( "openai-chat": async_request_openai_chat_completions, "tensorrt-llm": async_request_trt_llm, "scalellm": async_request_openai_completions, + "sglang": async_request_openai_completions, } From 5155b77a3d26ffdffa5dc806bab2d03ba832fa68 Mon Sep 17 00:00:00 2001 From: Kuntai Du Date: Tue, 13 Aug 2024 17:03:51 -0700 Subject: [PATCH 017/176] adjust trt-llm launch script --- .../scripts/launch-trt-server.sh | 53 +++++++++---------- .../tests/nightly-tests.json | 5 +- 2 files changed, 27 insertions(+), 31 deletions(-) diff --git a/.buildkite/nightly-benchmarks/scripts/launch-trt-server.sh b/.buildkite/nightly-benchmarks/scripts/launch-trt-server.sh index a930eedba7813..54362d7aee893 100644 --- a/.buildkite/nightly-benchmarks/scripts/launch-trt-server.sh +++ b/.buildkite/nightly-benchmarks/scripts/launch-trt-server.sh @@ -13,7 +13,8 @@ model_dtype=$(echo "$server_params" | jq -r '.model_dtype') model_tp_size=$(echo "$common_params" | jq -r '.tp') max_batch_size=$(echo "$server_params" | jq -r '.max_batch_size') max_input_len=$(echo "$server_params" | jq -r '.max_input_len') -max_output_len=$(echo "$server_params" | jq -r '.max_output_len') +max_seq_len=$(echo "$server_params" | jq -r '.max_seq_len') +max_num_tokens=$(echo "$server_params" | jq -r '.max_num_tokens') trt_llm_version=$(echo "$server_params" | jq -r '.trt_llm_version') cd ~ @@ -25,21 +26,6 @@ trt_model_path=${models_dir}/${model_name}-trt-ckpt trt_engine_path=${models_dir}/${model_name}-trt-engine -# get protobuf files from tensorrt-demo -cd ~ -rm -rf tensorrt-demo -git clone https://github.com/neuralmagic/tensorrt-demo.git -cd tensorrt-demo -tensorrt_demo_dir=$(pwd) - -# adjust tokenizer and max_batch_size in protobuf files -sed -i.bak "/key: \"tokenizer_dir\"/,/string_value:/s|string_value: \".*\"|string_value: \"$model_path\"|" ./triton_model_repo/postprocessing/config.pbtxt -sed -i.bak "/key: \"tokenizer_dir\"/,/string_value:/s|string_value: \".*\"|string_value: \"$model_path\"|" ./triton_model_repo/preprocessing/config.pbtxt -sed -i.bak "s|\(max_batch_size:\s*\)[0-9]*|\1$max_batch_size|g" ./triton_model_repo/ensemble/config.pbtxt -sed -i.bak "s|\(max_batch_size:\s*\)[0-9]*|\1$max_batch_size|g" ./triton_model_repo/preprocessing/config.pbtxt -sed -i.bak "s|\(max_batch_size:\s*\)[0-9]*|\1$max_batch_size|g" ./triton_model_repo/postprocessing/config.pbtxt -sed -i.bak "s|\(max_batch_size:\s*\)[0-9]*|\1$max_batch_size|g" ./triton_model_repo/tensorrt_llm_bls/config.pbtxt - cd / @@ -50,7 +36,15 @@ cd tensorrtllm_backend git checkout $trt_llm_version tensorrtllm_backend_dir=$(pwd) git submodule update --init --recursive -cp -r ${tensorrt_demo_dir}/triton_model_repo ${tensorrtllm_backend_dir}/ + + +mkdir triton_model_repo +cp -r all_models/inflight_batcher_llm/* triton_model_repo/ +python3 ../tools/fill_template.py -i tensorrt_llm/config.pbtxt triton_backend:tensorrtllm,engine_dir:OUTPUT,decoupled_mode:true,batching_strategy:inflight_fused_batching,batch_scheduler_policy:guaranteed_no_evict,exclude_input_in_output:true,triton_max_batch_size:2048,max_queue_delay_microseconds:0,max_beam_width:1,max_queue_size:2048,enable_kv_cache_reuse:false +python3 ../tools/fill_template.py -i preprocessing/config.pbtxt triton_max_batch_size:2048,tokenizer_dir:$model_path,preprocessing_instance_count:5 +python3 ../tools/fill_template.py -i postprocessing/config.pbtxt triton_max_batch_size:2048,tokenizer_dir:$model_path,postprocessing_instance_count:5,skip_special_tokens:false +python3 ../tools/fill_template.py -i ensemble/config.pbtxt triton_max_batch_size:$max_batch_size +python3 ../tools/fill_template.py -i tensorrt_llm_bls/config.pbtxt triton_max_batch_size:$max_batch_size,decoupled_mode:true,accumulate_tokens:"False",bls_instance_count:1 cd /tensorrtllm_backend @@ -82,20 +76,21 @@ else fi - trtllm-build \ --checkpoint_dir=${trt_model_path} \ ---gpt_attention_plugin=${model_dtype} \ ---gemm_plugin=${model_dtype} \ ---remove_input_padding=enable \ ---paged_kv_cache=enable \ ---tp_size=${model_tp_size} \ ---max_batch_size=${max_batch_size} \ ---max_input_len=${max_input_len} \ ---max_output_len=${max_output_len} \ ---max_num_tokens=${max_output_len} \ ---opt_num_tokens=${max_output_len} \ ---output_dir=${trt_engine_path} +--use_fused_mlp \ +--reduce_fusion disable \ +--workers 8 \ +--gpt_attention_plugin ${model_dtype} \ +--gemm_plugin ${model_dtype} \ +--tp_size ${model_tp_size} \ +--max_batch_size ${max_batch_size} \ +--max_input_len ${max_input_len} \ +--max_seq_len ${max_seq_len} \ +--max_num_tokens ${max_num_tokens} \ +--output_dir ${trt_engine_path} + + cd /tensorrtllm_backend/triton_model_repo rm -rf ./tensorrt_llm/1/* diff --git a/.buildkite/nightly-benchmarks/tests/nightly-tests.json b/.buildkite/nightly-benchmarks/tests/nightly-tests.json index 2db7d15a073b7..b5f132dc2c862 100644 --- a/.buildkite/nightly-benchmarks/tests/nightly-tests.json +++ b/.buildkite/nightly-benchmarks/tests/nightly-tests.json @@ -22,9 +22,10 @@ "trt_server_parameters": { "model_type": "llama", "model_dtype": "float16", - "max_batch_size": 256, + "max_batch_size": 2048, "max_input_len": 4096, - "max_output_len": 4096, + "max_seq_len": 6144, + "max_num_tokens": 16384, "trt_llm_version": "r24.07" }, "trt_client_parameters": { From 85d39f9eb39d3c9bc9e8bf77938adb5aa25d46d5 Mon Sep 17 00:00:00 2001 From: Kuntai Du Date: Tue, 13 Aug 2024 17:05:34 -0700 Subject: [PATCH 018/176] enable trt-llm and sglang --- .../nightly-benchmarks/nightly-pipeline.yaml | 38 ++++++++++--------- 1 file changed, 20 insertions(+), 18 deletions(-) diff --git a/.buildkite/nightly-benchmarks/nightly-pipeline.yaml b/.buildkite/nightly-benchmarks/nightly-pipeline.yaml index 210037ffd588f..8863fbd68ff01 100644 --- a/.buildkite/nightly-benchmarks/nightly-pipeline.yaml +++ b/.buildkite/nightly-benchmarks/nightly-pipeline.yaml @@ -38,6 +38,20 @@ common_container_settings: &common_container_settings steps: - block: ":rocket: Ready for comparing vllm against alternatives? This will take 4 hours." + + - label: "A100 trt benchmark" + priority: 100 + agents: + queue: A100 + plugins: + - kubernetes: + podSpec: + <<: *common_pod_spec + containers: + - image: nvcr.io/nvidia/tritonserver:24.07-trtllm-python-py3 + <<: *common_container_settings + + - label: "A100 sglang benchmark" priority: 100 agents: @@ -50,7 +64,7 @@ steps: - image: lmsysorg/sglang:v0.2.12-cu118 <<: *common_container_settings - # - label: "A100 trt benchmark" + # - label: "A100 lmdeploy benchmark" # priority: 100 # agents: # queue: A100 @@ -59,10 +73,11 @@ steps: # podSpec: # <<: *common_pod_spec # containers: - # - image: nvcr.io/nvidia/tritonserver:24.07-trtllm-python-py3 + # - image: openmmlab/lmdeploy:v0.5.0 # <<: *common_container_settings + - # - label: "A100 lmdeploy benchmark" + # - label: "A100 vllm benchmark" # priority: 100 # agents: # queue: A100 @@ -71,21 +86,8 @@ steps: # podSpec: # <<: *common_pod_spec # containers: - # - image: openmmlab/lmdeploy:v0.5.0 + # - image: vllm/vllm-openai:latest # <<: *common_container_settings - - - - label: "A100 vllm benchmark" - priority: 100 - agents: - queue: A100 - plugins: - - kubernetes: - podSpec: - <<: *common_pod_spec - containers: - - image: vllm/vllm-openai:latest - <<: *common_container_settings # - label: "A100 tgi benchmark" # priority: 100 @@ -130,4 +132,4 @@ steps: name: hf-token-secret key: token - - wait \ No newline at end of file + - block: ":rocket: check the results!" From 4516373458c70a3d47ac5228cc48b40bdd6ee866 Mon Sep 17 00:00:00 2001 From: Kuntai Du Date: Tue, 13 Aug 2024 18:21:05 -0700 Subject: [PATCH 019/176] bug fix: cd into triton_model_repo before calling fill_template.py --- .buildkite/nightly-benchmarks/scripts/launch-trt-server.sh | 1 + 1 file changed, 1 insertion(+) diff --git a/.buildkite/nightly-benchmarks/scripts/launch-trt-server.sh b/.buildkite/nightly-benchmarks/scripts/launch-trt-server.sh index 54362d7aee893..2f547d17e3155 100644 --- a/.buildkite/nightly-benchmarks/scripts/launch-trt-server.sh +++ b/.buildkite/nightly-benchmarks/scripts/launch-trt-server.sh @@ -40,6 +40,7 @@ git submodule update --init --recursive mkdir triton_model_repo cp -r all_models/inflight_batcher_llm/* triton_model_repo/ +cd triton_model_repo python3 ../tools/fill_template.py -i tensorrt_llm/config.pbtxt triton_backend:tensorrtllm,engine_dir:OUTPUT,decoupled_mode:true,batching_strategy:inflight_fused_batching,batch_scheduler_policy:guaranteed_no_evict,exclude_input_in_output:true,triton_max_batch_size:2048,max_queue_delay_microseconds:0,max_beam_width:1,max_queue_size:2048,enable_kv_cache_reuse:false python3 ../tools/fill_template.py -i preprocessing/config.pbtxt triton_max_batch_size:2048,tokenizer_dir:$model_path,preprocessing_instance_count:5 python3 ../tools/fill_template.py -i postprocessing/config.pbtxt triton_max_batch_size:2048,tokenizer_dir:$model_path,postprocessing_instance_count:5,skip_special_tokens:false From dbf66078dc46e98a9d8d6a1df0e976044a53e83e Mon Sep 17 00:00:00 2001 From: Kuntai Du Date: Tue, 13 Aug 2024 19:37:11 -0700 Subject: [PATCH 020/176] upload zipped results to artifact -- for easy debugging --- .buildkite/nightly-benchmarks/scripts/nightly-annotate.sh | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/.buildkite/nightly-benchmarks/scripts/nightly-annotate.sh b/.buildkite/nightly-benchmarks/scripts/nightly-annotate.sh index 1168912c6e229..2299c236b5ec3 100644 --- a/.buildkite/nightly-benchmarks/scripts/nightly-annotate.sh +++ b/.buildkite/nightly-benchmarks/scripts/nightly-annotate.sh @@ -8,6 +8,7 @@ main() { (which wget && which curl) || (apt-get update && apt-get install -y wget curl) (which jq) || (apt-get update && apt-get -y install jq) + (which zip) || (apt-get install -y zip) if [ ! -f /workspace/buildkite-agent ]; then echo "buildkite-agent binary not found. Skip plotting the results." @@ -24,6 +25,9 @@ main() { ls ls results/ + zip -r results.zip results/ + /workspace/buildkite-agent artifact upload "results.zip" + # generate figures python3 -m pip install tabulate pandas matplotlib python3 $VLLM_SOURCE_CODE_LOC/.buildkite/nightly-benchmarks/scripts/plot-nightly-results.py \ From a8cac72f67273215516200b13c7571adafc735db Mon Sep 17 00:00:00 2001 From: Kuntai Du Date: Tue, 13 Aug 2024 20:13:17 -0700 Subject: [PATCH 021/176] upload --- .buildkite/nightly-benchmarks/scripts/run-trt-nightly.sh | 3 +++ 1 file changed, 3 insertions(+) diff --git a/.buildkite/nightly-benchmarks/scripts/run-trt-nightly.sh b/.buildkite/nightly-benchmarks/scripts/run-trt-nightly.sh index 903939887d22d..b94c3e6b745ae 100644 --- a/.buildkite/nightly-benchmarks/scripts/run-trt-nightly.sh +++ b/.buildkite/nightly-benchmarks/scripts/run-trt-nightly.sh @@ -200,6 +200,9 @@ main() { mkdir -p $RESULTS_FOLDER BENCHMARK_ROOT=../.buildkite/nightly-benchmarks/ + # update transformers package, to make sure mixtral tokenizer is available + python3 -m pip install transformers -U + export CURRENT_LLM_SERVING_ENGINE=trt run_serving_tests $BENCHMARK_ROOT/tests/nightly-tests.json python3 -m pip install tabulate pandas From e461c64aefb458aaec62ee9a26c51d516ffe27da Mon Sep 17 00:00:00 2001 From: Kuntai Du Date: Tue, 13 Aug 2024 20:34:46 -0700 Subject: [PATCH 022/176] use Llama 3 8B instead --- trt-llm crashes with Llama 3 8.1B --- .buildkite/nightly-benchmarks/tests/nightly-tests.json | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.buildkite/nightly-benchmarks/tests/nightly-tests.json b/.buildkite/nightly-benchmarks/tests/nightly-tests.json index b5f132dc2c862..fb3226ad2987b 100644 --- a/.buildkite/nightly-benchmarks/tests/nightly-tests.json +++ b/.buildkite/nightly-benchmarks/tests/nightly-tests.json @@ -3,7 +3,7 @@ "test_name": "llama8B_tp1", "qps_list": [4], "common_parameters": { - "model": "meta-llama/Meta-Llama-3.1-8B-Instruct", + "model": "meta-llama/Meta-Llama-3-8B-Instruct", "tp": 1, "dataset_name": "sharegpt", "dataset_path": "./ShareGPT_V3_unfiltered_cleaned_split.json", From c935bda93cc2c9a572ecb273e1fc5b12bf62d896 Mon Sep 17 00:00:00 2001 From: Kuntai Du Date: Tue, 13 Aug 2024 23:56:49 -0700 Subject: [PATCH 023/176] update the documentation --- .../nightly-descriptions.md | 59 +++++++++---------- 1 file changed, 27 insertions(+), 32 deletions(-) diff --git a/.buildkite/nightly-benchmarks/nightly-descriptions.md b/.buildkite/nightly-benchmarks/nightly-descriptions.md index c3d3cbf473968..b904c47d28129 100644 --- a/.buildkite/nightly-benchmarks/nightly-descriptions.md +++ b/.buildkite/nightly-benchmarks/nightly-descriptions.md @@ -1,38 +1,28 @@ # Nightly benchmark -The main goal of this benchmarking is two-fold: -- Performance clarity: Provide clarity on which one (vllm, tensorrt-llm, lmdeploy and tgi) leads in performance in what workload. -- Reproducible: one can run the exact same set of benchmarking commands inside the exact same docker by following reproducing instructions in [reproduce.md](). - - -## Docker images - -We benchmark vllm, tensorrt-llm, lmdeploy and tgi using the following docker images: -- vllm/vllm-openai:v0.5.0.post1 -- nvcr.io/nvidia/tritonserver:24.04-trtllm-python-py3 -- openmmlab/lmdeploy:v0.5.0 -- ghcr.io/huggingface/text-generation-inference:2.1 - - - - -## Hardware - -One AWS node with 8x NVIDIA A100 GPUs. - - -## Workload description - -We benchmark vllm, tensorrt-llm, lmdeploy and tgi using the following workload: - -- Input length: randomly sample 500 prompts from ShareGPT dataset (with fixed random seed). -- Output length: the corresponding output length of these 500 prompts. -- Models: llama-3 8B, llama-3 70B, mixtral 8x7B. -- Average QPS (query per second): 4 for the small model (llama-3 8B) and 2 for other two models. For each QPS, the arrival time of each query is determined using a random Poisson process (with fixed random seed). -- Evaluation metrics: Throughput (higher the better), TTFT (time to the first token, lower the better), ITL (inter-token latency, lower the better). - - +This benchmark aims to: +- Provide performance clarity: Provide clarity on which one (vllm, tensorrt-llm, lmdeploy and tgi) leads in performance in what workload. +- Be reproducible: one can run the exact same set of benchmarking commands inside the exact same docker by following reproducing instructions in [reproduce.md](). + + +## Setup + +- Docker images + - vllm/vllm-openai:v0.5.0.post1 + - nvcr.io/nvidia/tritonserver:24.04-trtllm-python-py3 + - openmmlab/lmdeploy:v0.5.0 + - ghcr.io/huggingface/text-generation-inference:2.1 +- Hardware + - 8x Nvidia A100 GPUs +- Workload + - Input length: randomly sample 500 prompts from ShareGPT dataset (with fixed random seed). + - Output length: the corresponding output length of these 500 prompts. + - Models: llama-3 8B, llama-3 70B, mixtral 8x7B. + - We do not use llama 3.1 as it is incompatible with trt-llm r24.07. ([issue](https://github.com/NVIDIA/TensorRT-LLM/issues/2105)). + - Average QPS (query per second): 2, 4, 8 and inf. + - Queries are randomly sampled, and arrival patterns are determined via Poisson process, but all with fixed random seed. + - Evaluation metrics: Throughput (higher the better), TTFT (time to the first token, lower the better), ITL (inter-token latency, lower the better). ## Plots @@ -43,3 +33,8 @@ In the following plots, the dot shows the mean and the error bar shows the stand ## Results {nightly_results_benchmarking_table} + + +## Known issues + +- TRT-LLM crashes with Llama 3.1 8B [issue](https://github.com/NVIDIA/TensorRT-LLM/issues/2105). \ No newline at end of file From a7e12e7070c11c71fc044a7f8765944d06ec2c24 Mon Sep 17 00:00:00 2001 From: Kuntai Du Date: Wed, 14 Aug 2024 13:47:15 -0700 Subject: [PATCH 024/176] update trt --- no need to update transformers --- .buildkite/nightly-benchmarks/scripts/run-trt-nightly.sh | 3 --- 1 file changed, 3 deletions(-) diff --git a/.buildkite/nightly-benchmarks/scripts/run-trt-nightly.sh b/.buildkite/nightly-benchmarks/scripts/run-trt-nightly.sh index b94c3e6b745ae..903939887d22d 100644 --- a/.buildkite/nightly-benchmarks/scripts/run-trt-nightly.sh +++ b/.buildkite/nightly-benchmarks/scripts/run-trt-nightly.sh @@ -200,9 +200,6 @@ main() { mkdir -p $RESULTS_FOLDER BENCHMARK_ROOT=../.buildkite/nightly-benchmarks/ - # update transformers package, to make sure mixtral tokenizer is available - python3 -m pip install transformers -U - export CURRENT_LLM_SERVING_ENGINE=trt run_serving_tests $BENCHMARK_ROOT/tests/nightly-tests.json python3 -m pip install tabulate pandas From 9605cf31c2dc900d8111add93753fea850b74ee1 Mon Sep 17 00:00:00 2001 From: Kuntai Du Date: Wed, 14 Aug 2024 13:49:58 -0700 Subject: [PATCH 025/176] change to llama 2 7b --- I don't have access to llama3 8B for dev --- .buildkite/nightly-benchmarks/tests/nightly-tests.json | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.buildkite/nightly-benchmarks/tests/nightly-tests.json b/.buildkite/nightly-benchmarks/tests/nightly-tests.json index fb3226ad2987b..721777abcc9ec 100644 --- a/.buildkite/nightly-benchmarks/tests/nightly-tests.json +++ b/.buildkite/nightly-benchmarks/tests/nightly-tests.json @@ -3,7 +3,7 @@ "test_name": "llama8B_tp1", "qps_list": [4], "common_parameters": { - "model": "meta-llama/Meta-Llama-3-8B-Instruct", + "model": "meta-llama/Llama-2-7b", "tp": 1, "dataset_name": "sharegpt", "dataset_path": "./ShareGPT_V3_unfiltered_cleaned_split.json", From fcc3f5289c2681ae8a708c1758897b5042b02c3c Mon Sep 17 00:00:00 2001 From: Kuntai Du Date: Wed, 14 Aug 2024 13:52:24 -0700 Subject: [PATCH 026/176] adjust trt-llm backend version -- should be v0.11.0 --- .buildkite/nightly-benchmarks/tests/nightly-tests.json | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.buildkite/nightly-benchmarks/tests/nightly-tests.json b/.buildkite/nightly-benchmarks/tests/nightly-tests.json index 721777abcc9ec..3c658d24d652b 100644 --- a/.buildkite/nightly-benchmarks/tests/nightly-tests.json +++ b/.buildkite/nightly-benchmarks/tests/nightly-tests.json @@ -26,7 +26,7 @@ "max_input_len": 4096, "max_seq_len": 6144, "max_num_tokens": 16384, - "trt_llm_version": "r24.07" + "trt_llm_version": "v0.11.0" }, "trt_client_parameters": { "endpoint": "/v2/models/ensemble/generate_stream" From 760d70f341e8fe8ffcdc9d5822d94817899f9df1 Mon Sep 17 00:00:00 2001 From: Kuntai Du Date: Wed, 14 Aug 2024 13:55:25 -0700 Subject: [PATCH 027/176] replace tokenizer_dir to the directory that has been downloaded (/tokenizer_cache) --- .buildkite/nightly-benchmarks/scripts/launch-trt-server.sh | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/.buildkite/nightly-benchmarks/scripts/launch-trt-server.sh b/.buildkite/nightly-benchmarks/scripts/launch-trt-server.sh index 2f547d17e3155..92e4d67706025 100644 --- a/.buildkite/nightly-benchmarks/scripts/launch-trt-server.sh +++ b/.buildkite/nightly-benchmarks/scripts/launch-trt-server.sh @@ -42,8 +42,8 @@ mkdir triton_model_repo cp -r all_models/inflight_batcher_llm/* triton_model_repo/ cd triton_model_repo python3 ../tools/fill_template.py -i tensorrt_llm/config.pbtxt triton_backend:tensorrtllm,engine_dir:OUTPUT,decoupled_mode:true,batching_strategy:inflight_fused_batching,batch_scheduler_policy:guaranteed_no_evict,exclude_input_in_output:true,triton_max_batch_size:2048,max_queue_delay_microseconds:0,max_beam_width:1,max_queue_size:2048,enable_kv_cache_reuse:false -python3 ../tools/fill_template.py -i preprocessing/config.pbtxt triton_max_batch_size:2048,tokenizer_dir:$model_path,preprocessing_instance_count:5 -python3 ../tools/fill_template.py -i postprocessing/config.pbtxt triton_max_batch_size:2048,tokenizer_dir:$model_path,postprocessing_instance_count:5,skip_special_tokens:false +python3 ../tools/fill_template.py -i preprocessing/config.pbtxt triton_max_batch_size:2048,tokenizer_dir:/tokenizer_cache,preprocessing_instance_count:5 +python3 ../tools/fill_template.py -i postprocessing/config.pbtxt triton_max_batch_size:2048,tokenizer_dir:/tokenizer_cache,postprocessing_instance_count:5,skip_special_tokens:false python3 ../tools/fill_template.py -i ensemble/config.pbtxt triton_max_batch_size:$max_batch_size python3 ../tools/fill_template.py -i tensorrt_llm_bls/config.pbtxt triton_max_batch_size:$max_batch_size,decoupled_mode:true,accumulate_tokens:"False",bls_instance_count:1 From 8230734722ab4a2debf54eab2c37711c7f785249 Mon Sep 17 00:00:00 2001 From: Kuntai Du Date: Wed, 14 Aug 2024 14:00:41 -0700 Subject: [PATCH 028/176] no it should be --- .buildkite/nightly-benchmarks/scripts/launch-trt-server.sh | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/.buildkite/nightly-benchmarks/scripts/launch-trt-server.sh b/.buildkite/nightly-benchmarks/scripts/launch-trt-server.sh index 92e4d67706025..2f547d17e3155 100644 --- a/.buildkite/nightly-benchmarks/scripts/launch-trt-server.sh +++ b/.buildkite/nightly-benchmarks/scripts/launch-trt-server.sh @@ -42,8 +42,8 @@ mkdir triton_model_repo cp -r all_models/inflight_batcher_llm/* triton_model_repo/ cd triton_model_repo python3 ../tools/fill_template.py -i tensorrt_llm/config.pbtxt triton_backend:tensorrtllm,engine_dir:OUTPUT,decoupled_mode:true,batching_strategy:inflight_fused_batching,batch_scheduler_policy:guaranteed_no_evict,exclude_input_in_output:true,triton_max_batch_size:2048,max_queue_delay_microseconds:0,max_beam_width:1,max_queue_size:2048,enable_kv_cache_reuse:false -python3 ../tools/fill_template.py -i preprocessing/config.pbtxt triton_max_batch_size:2048,tokenizer_dir:/tokenizer_cache,preprocessing_instance_count:5 -python3 ../tools/fill_template.py -i postprocessing/config.pbtxt triton_max_batch_size:2048,tokenizer_dir:/tokenizer_cache,postprocessing_instance_count:5,skip_special_tokens:false +python3 ../tools/fill_template.py -i preprocessing/config.pbtxt triton_max_batch_size:2048,tokenizer_dir:$model_path,preprocessing_instance_count:5 +python3 ../tools/fill_template.py -i postprocessing/config.pbtxt triton_max_batch_size:2048,tokenizer_dir:$model_path,postprocessing_instance_count:5,skip_special_tokens:false python3 ../tools/fill_template.py -i ensemble/config.pbtxt triton_max_batch_size:$max_batch_size python3 ../tools/fill_template.py -i tensorrt_llm_bls/config.pbtxt triton_max_batch_size:$max_batch_size,decoupled_mode:true,accumulate_tokens:"False",bls_instance_count:1 From 1ba468b8a698c9d7d3521139c299b5775070b56c Mon Sep 17 00:00:00 2001 From: Kuntai Du Date: Wed, 14 Aug 2024 14:03:48 -0700 Subject: [PATCH 029/176] update llama model --- .buildkite/nightly-benchmarks/tests/nightly-tests.json | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.buildkite/nightly-benchmarks/tests/nightly-tests.json b/.buildkite/nightly-benchmarks/tests/nightly-tests.json index 3c658d24d652b..a9ad678f9058c 100644 --- a/.buildkite/nightly-benchmarks/tests/nightly-tests.json +++ b/.buildkite/nightly-benchmarks/tests/nightly-tests.json @@ -3,7 +3,7 @@ "test_name": "llama8B_tp1", "qps_list": [4], "common_parameters": { - "model": "meta-llama/Llama-2-7b", + "model": "meta-llama/Llama-2-7b-hf", "tp": 1, "dataset_name": "sharegpt", "dataset_path": "./ShareGPT_V3_unfiltered_cleaned_split.json", From c7bfc2265f2fbf994206809063bf30c958b6a2d2 Mon Sep 17 00:00:00 2001 From: Kuntai Du Date: Wed, 14 Aug 2024 14:34:34 -0700 Subject: [PATCH 030/176] update model_path --- .buildkite/nightly-benchmarks/scripts/launch-trt-server.sh | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.buildkite/nightly-benchmarks/scripts/launch-trt-server.sh b/.buildkite/nightly-benchmarks/scripts/launch-trt-server.sh index 2f547d17e3155..710a6c915c753 100644 --- a/.buildkite/nightly-benchmarks/scripts/launch-trt-server.sh +++ b/.buildkite/nightly-benchmarks/scripts/launch-trt-server.sh @@ -78,7 +78,7 @@ fi trtllm-build \ ---checkpoint_dir=${trt_model_path} \ +--model_config ${model_path} \ --use_fused_mlp \ --reduce_fusion disable \ --workers 8 \ From 4c1500cc279f48406ac7038a098e7925947b2f34 Mon Sep 17 00:00:00 2001 From: Kuntai Du Date: Wed, 14 Aug 2024 14:39:21 -0700 Subject: [PATCH 031/176] add model path --- .buildkite/nightly-benchmarks/scripts/launch-trt-server.sh | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/.buildkite/nightly-benchmarks/scripts/launch-trt-server.sh b/.buildkite/nightly-benchmarks/scripts/launch-trt-server.sh index 710a6c915c753..64ae22c3b80bd 100644 --- a/.buildkite/nightly-benchmarks/scripts/launch-trt-server.sh +++ b/.buildkite/nightly-benchmarks/scripts/launch-trt-server.sh @@ -78,7 +78,8 @@ fi trtllm-build \ ---model_config ${model_path} \ +--checkpoint_dir ${trt_model_path} \ +--model_config ${trt_model_path} \ --use_fused_mlp \ --reduce_fusion disable \ --workers 8 \ From 711b65f98c6f73f4c36688771d69abec27089ae1 Mon Sep 17 00:00:00 2001 From: Kuntai Du Date: Wed, 14 Aug 2024 14:43:08 -0700 Subject: [PATCH 032/176] log error --- .buildkite/nightly-benchmarks/scripts/launch-trt-server.sh | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.buildkite/nightly-benchmarks/scripts/launch-trt-server.sh b/.buildkite/nightly-benchmarks/scripts/launch-trt-server.sh index 64ae22c3b80bd..3d533cdd77cfe 100644 --- a/.buildkite/nightly-benchmarks/scripts/launch-trt-server.sh +++ b/.buildkite/nightly-benchmarks/scripts/launch-trt-server.sh @@ -90,7 +90,7 @@ trtllm-build \ --max_input_len ${max_input_len} \ --max_seq_len ${max_seq_len} \ --max_num_tokens ${max_num_tokens} \ ---output_dir ${trt_engine_path} +--output_dir ${trt_engine_path} 2>&1 | tee ~/log.txt From 483e1b1a5165966ed07920f47a8d0bfaf2765130 Mon Sep 17 00:00:00 2001 From: Kuntai Du Date: Wed, 14 Aug 2024 14:47:37 -0700 Subject: [PATCH 033/176] add logging when launching triton server --- .buildkite/nightly-benchmarks/scripts/launch-trt-server.sh | 6 ++---- 1 file changed, 2 insertions(+), 4 deletions(-) diff --git a/.buildkite/nightly-benchmarks/scripts/launch-trt-server.sh b/.buildkite/nightly-benchmarks/scripts/launch-trt-server.sh index 3d533cdd77cfe..76029ddb4e5dd 100644 --- a/.buildkite/nightly-benchmarks/scripts/launch-trt-server.sh +++ b/.buildkite/nightly-benchmarks/scripts/launch-trt-server.sh @@ -79,7 +79,6 @@ fi trtllm-build \ --checkpoint_dir ${trt_model_path} \ ---model_config ${trt_model_path} \ --use_fused_mlp \ --reduce_fusion disable \ --workers 8 \ @@ -90,8 +89,7 @@ trtllm-build \ --max_input_len ${max_input_len} \ --max_seq_len ${max_seq_len} \ --max_num_tokens ${max_num_tokens} \ ---output_dir ${trt_engine_path} 2>&1 | tee ~/log.txt - +--output_dir ${trt_engine_path} cd /tensorrtllm_backend/triton_model_repo @@ -100,4 +98,4 @@ cp -r ${trt_engine_path}/* ./tensorrt_llm/1 cd /tensorrtllm_backend python3 scripts/launch_triton_server.py \ --world_size=${model_tp_size} \ ---model_repo=/tensorrtllm_backend/triton_model_repo & \ No newline at end of file +--model_repo=/tensorrtllm_backend/triton_model_repo 2>&1 | tee ~/log.txt & \ No newline at end of file From 1c5f6773d51e72bddeca7bec56a48a5e58eb3250 Mon Sep 17 00:00:00 2001 From: Kuntai Du Date: Wed, 14 Aug 2024 15:14:18 -0700 Subject: [PATCH 034/176] add debugging symbol --- .buildkite/nightly-benchmarks/scripts/launch-trt-server.sh | 5 +++++ 1 file changed, 5 insertions(+) diff --git a/.buildkite/nightly-benchmarks/scripts/launch-trt-server.sh b/.buildkite/nightly-benchmarks/scripts/launch-trt-server.sh index 76029ddb4e5dd..563db48460efe 100644 --- a/.buildkite/nightly-benchmarks/scripts/launch-trt-server.sh +++ b/.buildkite/nightly-benchmarks/scripts/launch-trt-server.sh @@ -1,6 +1,9 @@ #!/bin/bash +set -xe + + server_params=$1 common_params=$2 @@ -17,6 +20,8 @@ max_seq_len=$(echo "$server_params" | jq -r '.max_seq_len') max_num_tokens=$(echo "$server_params" | jq -r '.max_num_tokens') trt_llm_version=$(echo "$server_params" | jq -r '.trt_llm_version') +sleep 100 + cd ~ rm -rf models mkdir -p models From a65763b75206535788712004d765381aa3f9fb56 Mon Sep 17 00:00:00 2001 From: Kuntai Du Date: Thu, 15 Aug 2024 14:49:48 -0700 Subject: [PATCH 035/176] engine_path needs to be the path of compiled engine... --- .../scripts/launch-trt-server.sh | 58 +++++-------------- 1 file changed, 16 insertions(+), 42 deletions(-) diff --git a/.buildkite/nightly-benchmarks/scripts/launch-trt-server.sh b/.buildkite/nightly-benchmarks/scripts/launch-trt-server.sh index 563db48460efe..06dee2796822b 100644 --- a/.buildkite/nightly-benchmarks/scripts/launch-trt-server.sh +++ b/.buildkite/nightly-benchmarks/scripts/launch-trt-server.sh @@ -1,14 +1,11 @@ #!/bin/bash - -set -xe - +set -x server_params=$1 common_params=$2 - model_path=$(echo "$common_params" | jq -r '.model') model_name="${model_path#*/}" model_type=$(echo "$server_params" | jq -r '.model_type') @@ -20,8 +17,8 @@ max_seq_len=$(echo "$server_params" | jq -r '.max_seq_len') max_num_tokens=$(echo "$server_params" | jq -r '.max_num_tokens') trt_llm_version=$(echo "$server_params" | jq -r '.trt_llm_version') -sleep 100 +# create model caching directory cd ~ rm -rf models mkdir -p models @@ -31,8 +28,7 @@ trt_model_path=${models_dir}/${model_name}-trt-ckpt trt_engine_path=${models_dir}/${model_name}-trt-engine - - +# clone tensorrt backend cd / rm -rf tensorrtllm_backend git clone https://github.com/triton-inference-server/tensorrtllm_backend.git @@ -43,45 +39,14 @@ tensorrtllm_backend_dir=$(pwd) git submodule update --init --recursive -mkdir triton_model_repo -cp -r all_models/inflight_batcher_llm/* triton_model_repo/ -cd triton_model_repo -python3 ../tools/fill_template.py -i tensorrt_llm/config.pbtxt triton_backend:tensorrtllm,engine_dir:OUTPUT,decoupled_mode:true,batching_strategy:inflight_fused_batching,batch_scheduler_policy:guaranteed_no_evict,exclude_input_in_output:true,triton_max_batch_size:2048,max_queue_delay_microseconds:0,max_beam_width:1,max_queue_size:2048,enable_kv_cache_reuse:false -python3 ../tools/fill_template.py -i preprocessing/config.pbtxt triton_max_batch_size:2048,tokenizer_dir:$model_path,preprocessing_instance_count:5 -python3 ../tools/fill_template.py -i postprocessing/config.pbtxt triton_max_batch_size:2048,tokenizer_dir:$model_path,postprocessing_instance_count:5,skip_special_tokens:false -python3 ../tools/fill_template.py -i ensemble/config.pbtxt triton_max_batch_size:$max_batch_size -python3 ../tools/fill_template.py -i tensorrt_llm_bls/config.pbtxt triton_max_batch_size:$max_batch_size,decoupled_mode:true,accumulate_tokens:"False",bls_instance_count:1 - - +# build trtllm engine cd /tensorrtllm_backend cd ./tensorrt_llm/examples/${model_type} - - -if echo "$common_params" | jq -e 'has("fp8")' > /dev/null; then - - echo "Key 'fp8' exists in common params. Use quantize.py instead of convert_checkpoint.py" - echo "Reference: https://github.com/NVIDIA/TensorRT-LLM/blob/main/examples/llama/README.md" - python ../quantization/quantize.py \ - --model_dir ${model_path} \ - --dtype ${model_dtype} \ - --tp_size ${model_tp_size} \ - --output_dir ${trt_model_path} \ - --qformat fp8 \ - --kv_cache_dtype fp8 \ - --calib_size 2 - -else - - echo "Key 'fp8' does not exist in common params. Use convert_checkpoint.py" - python3 convert_checkpoint.py \ +python3 convert_checkpoint.py \ --model_dir ${model_path} \ --dtype ${model_dtype} \ --tp_size ${model_tp_size} \ --output_dir ${trt_model_path} - -fi - - trtllm-build \ --checkpoint_dir ${trt_model_path} \ --use_fused_mlp \ @@ -97,10 +62,19 @@ trtllm-build \ --output_dir ${trt_engine_path} -cd /tensorrtllm_backend/triton_model_repo +# handle triton protobuf files and launch triton server +cd /tensorrtllm_backend +mkdir triton_model_repo +cp -r all_models/inflight_batcher_llm/* triton_model_repo/ +cd triton_model_repo rm -rf ./tensorrt_llm/1/* cp -r ${trt_engine_path}/* ./tensorrt_llm/1 +python3 ../tools/fill_template.py -i tensorrt_llm/config.pbtxt triton_backend:tensorrtllm,engine_dir:/tensorrtllm_backend/triton_model_repo/tensorrt_llm/1,decoupled_mode:true,batching_strategy:inflight_fused_batching,batch_scheduler_policy:guaranteed_no_evict,exclude_input_in_output:true,triton_max_batch_size:2048,max_queue_delay_microseconds:0,max_beam_width:1,max_queue_size:2048,enable_kv_cache_reuse:false +python3 ../tools/fill_template.py -i preprocessing/config.pbtxt triton_max_batch_size:2048,tokenizer_dir:$model_path,preprocessing_instance_count:5 +python3 ../tools/fill_template.py -i postprocessing/config.pbtxt triton_max_batch_size:2048,tokenizer_dir:$model_path,postprocessing_instance_count:5,skip_special_tokens:false +python3 ../tools/fill_template.py -i ensemble/config.pbtxt triton_max_batch_size:$max_batch_size +python3 ../tools/fill_template.py -i tensorrt_llm_bls/config.pbtxt triton_max_batch_size:$max_batch_size,decoupled_mode:true,accumulate_tokens:"False",bls_instance_count:1 cd /tensorrtllm_backend python3 scripts/launch_triton_server.py \ --world_size=${model_tp_size} \ ---model_repo=/tensorrtllm_backend/triton_model_repo 2>&1 | tee ~/log.txt & \ No newline at end of file +--model_repo=/tensorrtllm_backend/triton_model_repo & From aa278eb99b6b5ecb437a7935554d9dbb9cc799fc Mon Sep 17 00:00:00 2001 From: Kuntai Du Date: Thu, 15 Aug 2024 14:54:11 -0700 Subject: [PATCH 036/176] adjust the way of killing vllm instance --- .buildkite/nightly-benchmarks/scripts/run-vllm-nightly.sh | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/.buildkite/nightly-benchmarks/scripts/run-vllm-nightly.sh b/.buildkite/nightly-benchmarks/scripts/run-vllm-nightly.sh index 86ef07b4b6b91..a0facf96386cd 100644 --- a/.buildkite/nightly-benchmarks/scripts/run-vllm-nightly.sh +++ b/.buildkite/nightly-benchmarks/scripts/run-vllm-nightly.sh @@ -17,7 +17,8 @@ check_gpus() { kill_gpu_processes() { # kill all processes on GPU. - pkill pt_main_thread + ps aux | grep python | grep openai | awk '{print $2}' | xargs -r kill -9 + ps -e | grep pt_main_thread | awk '{print $1}' | xargs kill -9 sleep 10 # remove vllm config file From 5da3db11a1513fe00921ccc838835aa762cdc94d Mon Sep 17 00:00:00 2001 From: Kuntai Du Date: Thu, 15 Aug 2024 14:54:42 -0700 Subject: [PATCH 037/176] add more QPS --- .buildkite/nightly-benchmarks/tests/nightly-tests.json | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.buildkite/nightly-benchmarks/tests/nightly-tests.json b/.buildkite/nightly-benchmarks/tests/nightly-tests.json index a9ad678f9058c..c3345cabf9aff 100644 --- a/.buildkite/nightly-benchmarks/tests/nightly-tests.json +++ b/.buildkite/nightly-benchmarks/tests/nightly-tests.json @@ -1,7 +1,7 @@ [ { "test_name": "llama8B_tp1", - "qps_list": [4], + "qps_list": [2,4,8,16,"inf"], "common_parameters": { "model": "meta-llama/Llama-2-7b-hf", "tp": 1, From 45e94a242dd3263b45495b462dc8caf6ef9b50a1 Mon Sep 17 00:00:00 2001 From: Kuntai Du Date: Thu, 15 Aug 2024 15:25:40 -0700 Subject: [PATCH 038/176] disable radix cache and enable torch compile for SGLang --- .buildkite/nightly-benchmarks/tests/nightly-tests.json | 2 ++ 1 file changed, 2 insertions(+) diff --git a/.buildkite/nightly-benchmarks/tests/nightly-tests.json b/.buildkite/nightly-benchmarks/tests/nightly-tests.json index c3345cabf9aff..ff385595e9c6d 100644 --- a/.buildkite/nightly-benchmarks/tests/nightly-tests.json +++ b/.buildkite/nightly-benchmarks/tests/nightly-tests.json @@ -38,6 +38,8 @@ "vllm_client_parameters": { }, "sglang_server_parameters": { + "disable_radix_cache": "", + "enable_torch_compile": "" } } ] \ No newline at end of file From a4cb503b93428bdfb09e2a7441c0590898a15feb Mon Sep 17 00:00:00 2001 From: Kuntai Du Date: Fri, 16 Aug 2024 17:03:25 -0700 Subject: [PATCH 039/176] move nightly benchmark script into scripts folder --- .buildkite/nightly-benchmarks/nightly-pipeline.yaml | 2 +- .../{run-nightly-suite.sh => scripts/run-nightly-benchmarks.sh} | 0 2 files changed, 1 insertion(+), 1 deletion(-) rename .buildkite/nightly-benchmarks/{run-nightly-suite.sh => scripts/run-nightly-benchmarks.sh} (100%) diff --git a/.buildkite/nightly-benchmarks/nightly-pipeline.yaml b/.buildkite/nightly-benchmarks/nightly-pipeline.yaml index 8863fbd68ff01..8e66292db000e 100644 --- a/.buildkite/nightly-benchmarks/nightly-pipeline.yaml +++ b/.buildkite/nightly-benchmarks/nightly-pipeline.yaml @@ -13,7 +13,7 @@ common_pod_spec: &common_pod_spec common_container_settings: &common_container_settings command: - - bash .buildkite/nightly-benchmarks/run-nightly-suite.sh + - bash .buildkite/nightly-benchmarks/scripts/run-nightly-benchmarks.sh resources: limits: nvidia.com/gpu: 8 diff --git a/.buildkite/nightly-benchmarks/run-nightly-suite.sh b/.buildkite/nightly-benchmarks/scripts/run-nightly-benchmarks.sh similarity index 100% rename from .buildkite/nightly-benchmarks/run-nightly-suite.sh rename to .buildkite/nightly-benchmarks/scripts/run-nightly-benchmarks.sh From 03f7830de79589c8f4dc72c7436f120f0f541eda Mon Sep 17 00:00:00 2001 From: Kuntai Du Date: Sun, 18 Aug 2024 11:47:23 -0700 Subject: [PATCH 040/176] centralize run scripts alltogether --- .../scripts/run-nightly-benchmarks.sh | 79 ++++++++++++------- 1 file changed, 50 insertions(+), 29 deletions(-) diff --git a/.buildkite/nightly-benchmarks/scripts/run-nightly-benchmarks.sh b/.buildkite/nightly-benchmarks/scripts/run-nightly-benchmarks.sh index 8ec44cb7ab75f..758d022b5f64d 100644 --- a/.buildkite/nightly-benchmarks/scripts/run-nightly-benchmarks.sh +++ b/.buildkite/nightly-benchmarks/scripts/run-nightly-benchmarks.sh @@ -29,54 +29,75 @@ check_hf_token() { fi } -main() { - - check_gpus - check_hf_token - - df -h - - (which wget && which curl) || (apt-get update && apt-get install -y wget curl) - (which jq) || (apt-get update && apt-get -y install jq) - - cd $VLLM_SOURCE_CODE_LOC/benchmarks - wget https://huggingface.co/datasets/anon8231489123/ShareGPT_Vicuna_unfiltered/resolve/main/ShareGPT_V3_unfiltered_cleaned_split.json - +get_current_llm_serving_engine() { # run lmdeploy if which lmdeploy >/dev/null; then - echo "lmdeploy is available, redirect to run-lmdeploy-nightly.sh" - bash ../.buildkite/nightly-benchmarks/scripts/run-lmdeploy-nightly.sh - exit 0 + echo "Container: lmdeploy" + export CURRENT_LLM_SERVING_ENGINE=lmdeploy + return fi # run tgi if [ -e /tgi-entrypoint.sh ]; then - echo "tgi is available, redirect to run-tgi-nightly.sh" - bash ../.buildkite/nightly-benchmarks/scripts/run-tgi-nightly.sh - exit 0 + echo "Container: tgi" + export CURRENT_LLM_SERVING_ENGINE=tgi + return fi # run trt if which trtllm-build >/dev/null; then - echo "trtllm is available, redirect to run-trt-nightly.sh" - bash ../.buildkite/nightly-benchmarks/scripts/run-trt-nightly.sh - exit 0 + echo "Container: trt" + export CURRENT_LLM_SERVING_ENGINE=trt + return fi - # run sglang + # run sgl if [ -e /sgl-workspace ]; then - echo "SGLang is available, redirect to run-sgl-nightly.sh" - bash ../.buildkite/nightly-benchmarks/scripts/run-sgl-nightly.sh - exit 0 + echo "Container: sgl" + export CURRENT_LLM_SERVING_ENGINE=sgl + return fi # run vllm if [ -e /vllm-workspace ]; then - echo "vllm is available, redirect to run-vllm-nightly.sh" - bash ../.buildkite/nightly-benchmarks/scripts/run-vllm-nightly.sh - exit 0 + echo "Container: vllm" + export CURRENT_LLM_SERVING_ENGINE=vllm + return + fi +} + +ensure_installed () { + # Ensure that the given command is installed by apt-get + local cmd=$1 + if ! which $cmd >/dev/null; then + apt-get update && apt-get install -y $cmd fi +} + +main() { + + check_gpus + check_hf_token + get_current_llm_serving_engine + + # check storage + df -h + + ensure_installed wget + ensure_installed curl + ensure_installed jq + + cd $VLLM_SOURCE_CODE_LOC/benchmarks + wget https://huggingface.co/datasets/anon8231489123/ShareGPT_Vicuna_unfiltered/resolve/main/ShareGPT_V3_unfiltered_cleaned_split.json + declare -g RESULTS_FOLDER=results/ + mkdir -p $RESULTS_FOLDER + BENCHMARK_ROOT=../.buildkite/nightly-benchmarks/ + + run_serving_tests $BENCHMARK_ROOT/tests/nightly-tests.json + python3 -m pip install tabulate pandas + python3 $BENCHMARK_ROOT/scripts/summary-nightly-results.py + upload_to_buildkite } From 84fd15e6d651ea37f602a8431607a8df3e78c646 Mon Sep 17 00:00:00 2001 From: Kuntai Du Date: Sun, 18 Aug 2024 15:38:54 -0700 Subject: [PATCH 041/176] merge all running scripts into one. --- ...{launch-trt-server.sh => launch-server.sh} | 0 .../scripts/run-lmdeploy-nightly.sh | 218 ------------- .../scripts/run-nightly-benchmarks.sh | 308 ++++++++++++++---- .../scripts/run-sgl-nightly.sh | 217 ------------ .../scripts/run-tgi-nightly.sh | 216 ------------ .../scripts/run-trt-nightly.sh | 211 ------------ .../scripts/run-vllm-nightly.sh | 225 ------------- 7 files changed, 238 insertions(+), 1157 deletions(-) rename .buildkite/nightly-benchmarks/scripts/{launch-trt-server.sh => launch-server.sh} (100%) delete mode 100644 .buildkite/nightly-benchmarks/scripts/run-lmdeploy-nightly.sh delete mode 100644 .buildkite/nightly-benchmarks/scripts/run-sgl-nightly.sh delete mode 100644 .buildkite/nightly-benchmarks/scripts/run-tgi-nightly.sh delete mode 100644 .buildkite/nightly-benchmarks/scripts/run-trt-nightly.sh delete mode 100644 .buildkite/nightly-benchmarks/scripts/run-vllm-nightly.sh diff --git a/.buildkite/nightly-benchmarks/scripts/launch-trt-server.sh b/.buildkite/nightly-benchmarks/scripts/launch-server.sh similarity index 100% rename from .buildkite/nightly-benchmarks/scripts/launch-trt-server.sh rename to .buildkite/nightly-benchmarks/scripts/launch-server.sh diff --git a/.buildkite/nightly-benchmarks/scripts/run-lmdeploy-nightly.sh b/.buildkite/nightly-benchmarks/scripts/run-lmdeploy-nightly.sh deleted file mode 100644 index d6f112aaa42fd..0000000000000 --- a/.buildkite/nightly-benchmarks/scripts/run-lmdeploy-nightly.sh +++ /dev/null @@ -1,218 +0,0 @@ -#!/bin/bash - -set -o pipefail - -check_gpus() { - # check the number of GPUs and GPU type. - declare -g gpu_count=$(nvidia-smi --list-gpus | wc -l) - if [[ $gpu_count -gt 0 ]]; then - echo "GPU found." - else - echo "Need at least 1 GPU to run benchmarking." - exit 1 - fi - declare -g gpu_type=$(echo $(nvidia-smi --query-gpu=name --format=csv,noheader) | awk '{print $2}') - echo "GPU type is $gpu_type" -} - -kill_gpu_processes() { - pkill lmdeploy || true - # waiting for GPU processes to be fully killed - sleep 10 - # Print the GPU memory usage - # so that we know if all GPU processes are killed. - gpu_memory_usage=$(nvidia-smi --query-gpu=memory.used --format=csv,noheader,nounits -i 0) - # The memory usage should be 0 MB. - echo "GPU 0 Memory Usage: $gpu_memory_usage MB" -} - -json2args() { - # transforms the JSON string to command line args, and '_' is replaced to '-' - # example: - # input: { "model": "meta-llama/Llama-2-7b-chat-hf", "tensor_parallel_size": 1 } - # output: --model meta-llama/Llama-2-7b-chat-hf --tensor-parallel-size 1 - local json_string=$1 - local args=$( - echo "$json_string" | jq -r ' - to_entries | - map("--" + (.key | gsub("_"; "-")) + " " + (.value | tostring)) | - join(" ") - ' - ) - echo "$args" -} - -wait_for_server() { - # wait for vllm server to start - # return 1 if vllm server crashes - timeout 1200 bash -c ' - until curl -s localhost:8000/v1/completions > /dev/null; do - sleep 1 - done' && return 0 || return 1 -} - -run_serving_tests() { - # run serving tests using `benchmark_serving.py` - # $1: a json file specifying serving test cases - - local serving_test_file - serving_test_file=$1 - - # Iterate over serving tests - jq -c '.[]' "$serving_test_file" | while read -r params; do - # get the test name, and append the GPU type back to it. - test_name=$(echo "$params" | jq -r '.test_name') - - # if TEST_SELECTOR is set, only run the test cases that match the selector - if [[ -n "$TEST_SELECTOR" ]] && [[ ! "$test_name" =~ $TEST_SELECTOR ]]; then - echo "Skip test case $test_name." - continue - fi - - # append lmdeploy to the test name - test_name=lmdeploy_$test_name - - # get common parameters - common_params=$(echo "$params" | jq -r '.common_parameters') - model=$(echo "$common_params" | jq -r '.model') - tp=$(echo "$common_params" | jq -r '.tp') - dataset_name=$(echo "$common_params" | jq -r '.dataset_name') - dataset_path=$(echo "$common_params" | jq -r '.dataset_path') - port=$(echo "$common_params" | jq -r '.port') - num_prompts=$(echo "$common_params" | jq -r '.num_prompts') - - - - # get client and server arguments - server_params=$(echo "$params" | jq -r '.lmdeploy_server_parameters') - client_params=$(echo "$params" | jq -r '.lmdeploy_client_parameters') - server_args=$(json2args "$server_params") - client_args=$(json2args "$client_params") - qps_list=$(echo "$params" | jq -r '.qps_list') - qps_list=$(echo "$qps_list" | jq -r '.[] | @sh') - echo "Running over qps list $qps_list" - - # check if there is enough GPU to run the test - if [[ $gpu_count -lt $tp ]]; then - echo "Required tensor-parallel-size $tp but only $gpu_count GPU found. Skip testcase $test_name." - continue - fi - - # prepare tokenizer - rm -rf /tokenizer_cache - mkdir /tokenizer_cache - python ../.buildkite/nightly-benchmarks/scripts/download-tokenizer.py \ - --model "$model" \ - --cachedir /tokenizer_cache - - server_command="lmdeploy serve api_server $model \ - --tp $tp \ - --server-port $port \ - $server_args" - - # run the server - echo "Running test case $test_name" - echo "Server command: $server_command" - bash -c "$server_command" & - - # wait until the server is alive - wait_for_server - if [ $? -eq 0 ]; then - echo "" - echo "lmdeploy server is up and running." - else - echo "" - echo "lmdeploy failed to start within the timeout period." - break - fi - - # get model name - model_name=$(python ../.buildkite/nightly-benchmarks/scripts/get-lmdeploy-modelname.py) - - # iterate over different QPS - for qps in $qps_list; do - # remove the surrounding single quote from qps - if [[ "$qps" == *"inf"* ]]; then - echo "qps was $qps" - qps="inf" - echo "now qps is $qps" - fi - - new_test_name=$test_name"_qps_"$qps - - client_command="python3 benchmark_serving.py \ - --backend lmdeploy \ - --tokenizer /tokenizer_cache \ - --dataset-name $dataset_name \ - --dataset-path $dataset_path \ - --num-prompts $num_prompts \ - --port $port \ - --save-result \ - --result-dir $RESULTS_FOLDER \ - --result-filename ${new_test_name}.json \ - --request-rate $qps \ - --model \"$model_name\" \ - $client_args" - - echo "Running test case $test_name with qps $qps" - echo "Client command: $client_command" - - eval "$client_command" - - # record the benchmarking commands - jq_output=$(jq -n \ - --arg server "$server_command" \ - --arg client "$client_command" \ - --arg gpu "$gpu_type" \ - --arg engine "lmdeploy" \ - '{ - server_command: $server, - client_command: $client, - gpu_type: $gpu, - engine: $engine - }') - echo "$jq_output" >"$RESULTS_FOLDER/${new_test_name}.commands" - - done - - # clean up - kill_gpu_processes - rm -rf /root/.cache/huggingface/* - done -} - - -upload_to_buildkite() { - # upload the benchmarking results to buildkite - - # if the agent binary is not found, skip uploading the results, exit 0 - if [ ! -f /workspace/buildkite-agent ]; then - echo "buildkite-agent binary not found. Skip uploading the results." - return 0 - fi - # /workspace/buildkite-agent annotate --style "success" --context "benchmark-results" --append < $RESULTS_FOLDER/${CURRENT_LLM_SERVING_ENGINE}_nightly_results.md - /workspace/buildkite-agent artifact upload "$RESULTS_FOLDER/*" -} - - -main() { - - check_gpus - # enter vllm directory - cd $VLLM_SOURCE_CODE_LOC/benchmarks - - declare -g RESULTS_FOLDER=results/ - mkdir -p $RESULTS_FOLDER - BENCHMARK_ROOT=../.buildkite/nightly-benchmarks/ - - python -m pip install transformers==4.41.2 - - export CURRENT_LLM_SERVING_ENGINE=lmdeploy - run_serving_tests $BENCHMARK_ROOT/tests/nightly-tests.json - python -m pip install tabulate pandas - python $BENCHMARK_ROOT/scripts/summary-nightly-results.py - upload_to_buildkite - -} - -main "$@" diff --git a/.buildkite/nightly-benchmarks/scripts/run-nightly-benchmarks.sh b/.buildkite/nightly-benchmarks/scripts/run-nightly-benchmarks.sh index 758d022b5f64d..c66d3d4d96cfa 100644 --- a/.buildkite/nightly-benchmarks/scripts/run-nightly-benchmarks.sh +++ b/.buildkite/nightly-benchmarks/scripts/run-nightly-benchmarks.sh @@ -4,101 +4,269 @@ set -o pipefail set -x check_gpus() { - # check the number of GPUs and GPU type. - declare -g gpu_count=$(nvidia-smi --list-gpus | wc -l) - if [[ $gpu_count -gt 0 ]]; then - echo "GPU found." - else - echo "Need at least 1 GPU to run benchmarking." - exit 1 - fi - declare -g gpu_type=$(echo $(nvidia-smi --query-gpu=name --format=csv,noheader) | awk '{print $2}') - echo "GPU type is $gpu_type" + # check the number of GPUs and GPU type. + declare -g gpu_count=$(nvidia-smi --list-gpus | wc -l) + if [[ $gpu_count -gt 0 ]]; then + echo "GPU found." + else + echo "Need at least 1 GPU to run benchmarking." + exit 1 + fi + declare -g gpu_type=$(echo $(nvidia-smi --query-gpu=name --format=csv,noheader) | awk '{print $2}') + echo "GPU type is $gpu_type" } check_hf_token() { - # check if HF_TOKEN is available and valid - if [[ -z "$HF_TOKEN" ]]; then - echo "Error: HF_TOKEN is not set." - exit 1 - elif [[ ! "$HF_TOKEN" =~ ^hf_ ]]; then - echo "Error: HF_TOKEN does not start with 'hf_'." - exit 1 - else - echo "HF_TOKEN is set and valid." - fi + # check if HF_TOKEN is available and valid + if [[ -z "$HF_TOKEN" ]]; then + echo "Error: HF_TOKEN is not set." + exit 1 + elif [[ ! "$HF_TOKEN" =~ ^hf_ ]]; then + echo "Error: HF_TOKEN does not start with 'hf_'." + exit 1 + else + echo "HF_TOKEN is set and valid." + fi } get_current_llm_serving_engine() { - # run lmdeploy - if which lmdeploy >/dev/null; then - echo "Container: lmdeploy" - export CURRENT_LLM_SERVING_ENGINE=lmdeploy - return - fi + if which lmdeploy >/dev/null; then + echo "Container: lmdeploy" + export CURRENT_LLM_SERVING_ENGINE=lmdeploy + return + fi + + if [ -e /tgi-entrypoint.sh ]; then + echo "Container: tgi" + export CURRENT_LLM_SERVING_ENGINE=tgi + return + fi + + if which trtllm-build >/dev/null; then + echo "Container: trt" + export CURRENT_LLM_SERVING_ENGINE=trt + return + fi + + if [ -e /sgl-workspace ]; then + echo "Container: sglang" + export CURRENT_LLM_SERVING_ENGINE=sglang + return + fi + + if [ -e /vllm-workspace ]; then + echo "Container: vllm" + export CURRENT_LLM_SERVING_ENGINE=vllm + return + fi +} + +json2args() { + # transforms the JSON string to command line args, and '_' is replaced to '-' + # example: + # input: { "model": "meta-llama/Llama-2-7b-chat-hf", "tensor_parallel_size": 1 } + # output: --model meta-llama/Llama-2-7b-chat-hf --tensor-parallel-size 1 + local json_string=$1 + local args=$( + echo "$json_string" | jq -r ' + to_entries | + map("--" + (.key | gsub("_"; "-")) + " " + (.value | tostring)) | + join(" ") + ' + ) + echo "$args" +} + +kill_gpu_processes() { + pkill -f python + pkill -f python3 + pkill -f tritonserver + pkill -f pt_main_thread + pkill -f text-generation + pkill -f lmdeploy + + while [ $(nvidia-smi --query-gpu=memory.used --format=csv,noheader,nounits | head -n 1) -ge 1000 ]; do + sleep 1 + done +} + +wait_for_server() { + # wait for vllm server to start + # return 1 if vllm server crashes + timeout 1200 bash -c ' + until curl -s localhost:8000/v1/completions > /dev/null; do + sleep 1 + done' && return 0 || return 1 +} + +ensure_installed() { + # Ensure that the given command is installed by apt-get + local cmd=$1 + if ! which $cmd >/dev/null; then + apt-get update && apt-get install -y $cmd + fi +} + +run_serving_tests() { + # run serving tests using `benchmark_serving.py` + # $1: a json file specifying serving test cases + + local serving_test_file + serving_test_file=$1 + + # Iterate over serving tests + jq -c '.[]' "$serving_test_file" | while read -r params; do + # get the test name, and append the GPU type back to it. + test_name=$(echo "$params" | jq -r '.test_name') - # run tgi - if [ -e /tgi-entrypoint.sh ]; then - echo "Container: tgi" - export CURRENT_LLM_SERVING_ENGINE=tgi - return + # if TEST_SELECTOR is set, only run the test cases that match the selector + if [[ -n "$TEST_SELECTOR" ]] && [[ ! "$test_name" =~ $TEST_SELECTOR ]]; then + echo "Skip test case $test_name." + continue fi - # run trt - if which trtllm-build >/dev/null; then - echo "Container: trt" - export CURRENT_LLM_SERVING_ENGINE=trt - return + # prepend the current serving engine to the test name + test_name=${CURRENT_LLM_SERVING_ENGINE}_${test_name} + + # get common parameters + common_params=$(echo "$params" | jq -r '.common_parameters') + model=$(echo "$common_params" | jq -r '.model') + tp=$(echo "$common_params" | jq -r '.tp') + dataset_name=$(echo "$common_params" | jq -r '.dataset_name') + dataset_path=$(echo "$common_params" | jq -r '.dataset_path') + port=$(echo "$common_params" | jq -r '.port') + num_prompts=$(echo "$common_params" | jq -r '.num_prompts') + reuse_server=$(echo "$common_params" | jq -r '.reuse_server') + + # get client and server arguments + server_params=$(echo "$params" | jq -r ".${CURRENT_LLM_SERVING_ENGINE}_server_parameters") + client_params=$(echo "$params" | jq -r ".${CURRENT_LLM_SERVING_ENGINE}_client_parameters") + client_args=$(json2args "$client_params") + qps_list=$(echo "$params" | jq -r '.qps_list') + qps_list=$(echo "$qps_list" | jq -r '.[] | @sh') + echo "Running over qps list $qps_list" + + # check if there is enough GPU to run the test + if [[ $gpu_count -lt $tp ]]; then + echo "Required num-shard $tp but only $gpu_count GPU found. Skip testcase $test_name." + continue fi - # run sgl - if [ -e /sgl-workspace ]; then - echo "Container: sgl" - export CURRENT_LLM_SERVING_ENGINE=sgl - return + if [[ $reuse_server == "true" ]]; then + echo "Reuse previous server for test case $test_name" + else + kill_gpu_processes + bash $VLLM_SOURCE_CODE_LOC/.buildkite/nightly-benchmarks/scripts/launch-server.sh \ + "$server_params" "$common_params" fi - # run vllm - if [ -e /vllm-workspace ]; then - echo "Container: vllm" - export CURRENT_LLM_SERVING_ENGINE=vllm - return + if [ $? -eq 0 ]; then + echo "" + echo "$CURRENT_LLM_SERVING_ENGINE server is up and running." + else + echo "" + echo "$CURRENT_LLM_SERVING_ENGINE failed to start within the timeout period." + break fi -} -ensure_installed () { - # Ensure that the given command is installed by apt-get - local cmd=$1 - if ! which $cmd >/dev/null; then - apt-get update && apt-get install -y $cmd + # prepare tokenizer + # this is required for lmdeploy. + cd $VLLM_SOURCE_CODE_LOC/benchmarks + rm -rf /tokenizer_cache + mkdir /tokenizer_cache + python3 ../.buildkite/nightly-benchmarks/scripts/download-tokenizer.py \ + --model "$model" \ + --cachedir /tokenizer_cache + cd $VLLM_SOURCE_CODE_LOC/benchmarks + + + # change model name for lmdeploy (it will not follow standard hf name) + if [[ "$CURRENT_LLM_SERVING_ENGINE" == "lmdeploy" ]]; then + model=$(python ../.buildkite/nightly-benchmarks/scripts/get-lmdeploy-modelname.py) fi + + # iterate over different QPS + for qps in $qps_list; do + # remove the surrounding single quote from qps + if [[ "$qps" == *"inf"* ]]; then + echo "qps was $qps" + qps="inf" + echo "now qps is $qps" + fi + + new_test_name=$test_name"_qps_"$qps + + client_command="python3 benchmark_serving.py \ + --backend $CURRENT_LLM_SERVING_ENGINE \ + --tokenizer /tokenizer_cache \ + --model $model \ + --dataset-name $dataset_name \ + --dataset-path $dataset_path \ + --num-prompts $num_prompts \ + --port $port \ + --save-result \ + --result-dir $RESULTS_FOLDER \ + --result-filename ${new_test_name}.json \ + --request-rate $qps \ + $client_args" + + echo "Running test case $test_name with qps $qps" + echo "Client command: $client_command" + + eval "$client_command" + + server_command="None" + + # record the benchmarking commands + jq_output=$(jq -n \ + --arg server "$server_command" \ + --arg client "$client_command" \ + --arg gpu "$gpu_type" \ + --arg engine "tgi" \ + '{ + server_command: $server, + client_command: $client, + gpu_type: $gpu, + engine: $engine + }') + echo "$jq_output" >"$RESULTS_FOLDER/${new_test_name}.commands" + + done + + done + + kill_gpu_processes } main() { - check_gpus - check_hf_token - get_current_llm_serving_engine + check_gpus + check_hf_token + get_current_llm_serving_engine - # check storage - df -h + # check storage + df -h - ensure_installed wget - ensure_installed curl - ensure_installed jq + ensure_installed wget + ensure_installed curl + ensure_installed jq - cd $VLLM_SOURCE_CODE_LOC/benchmarks - wget https://huggingface.co/datasets/anon8231489123/ShareGPT_Vicuna_unfiltered/resolve/main/ShareGPT_V3_unfiltered_cleaned_split.json - declare -g RESULTS_FOLDER=results/ - mkdir -p $RESULTS_FOLDER - BENCHMARK_ROOT=../.buildkite/nightly-benchmarks/ + # download benchmark dataset, and prepare + cd $VLLM_SOURCE_CODE_LOC/benchmarks + wget https://huggingface.co/datasets/anon8231489123/ShareGPT_Vicuna_unfiltered/resolve/main/ShareGPT_V3_unfiltered_cleaned_split.json + declare -g RESULTS_FOLDER=results/ + mkdir -p $RESULTS_FOLDER + BENCHMARK_ROOT=../.buildkite/nightly-benchmarks/ + + # run the test + run_serving_tests $BENCHMARK_ROOT/tests/nightly-tests.json - run_serving_tests $BENCHMARK_ROOT/tests/nightly-tests.json - python3 -m pip install tabulate pandas - python3 $BENCHMARK_ROOT/scripts/summary-nightly-results.py - upload_to_buildkite + # upload benchmark results to buildkite + python3 -m pip install tabulate pandas + python3 $BENCHMARK_ROOT/scripts/summary-nightly-results.py + upload_to_buildkite } -main "$@" \ No newline at end of file +main "$@" diff --git a/.buildkite/nightly-benchmarks/scripts/run-sgl-nightly.sh b/.buildkite/nightly-benchmarks/scripts/run-sgl-nightly.sh deleted file mode 100644 index 75931e8c5e42f..0000000000000 --- a/.buildkite/nightly-benchmarks/scripts/run-sgl-nightly.sh +++ /dev/null @@ -1,217 +0,0 @@ -#!/bin/bash - -set -o pipefail - -check_gpus() { - # check the number of GPUs and GPU type. - declare -g gpu_count=$(nvidia-smi --list-gpus | wc -l) - if [[ $gpu_count -gt 0 ]]; then - echo "GPU found." - else - echo "Need at least 1 GPU to run benchmarking." - exit 1 - fi - declare -g gpu_type=$(echo $(nvidia-smi --query-gpu=name --format=csv,noheader) | awk '{print $2}') - echo "GPU type is $gpu_type" -} - -kill_gpu_processes() { - # kill all processes on GPU. - pkill pt_main_thread - sleep 10 - - - # Print the GPU memory usage - # so that we know if all GPU processes are killed. - gpu_memory_usage=$(nvidia-smi --query-gpu=memory.used --format=csv,noheader,nounits -i 0) - # The memory usage should be 0 MB. - echo "GPU 0 Memory Usage: $gpu_memory_usage MB" -} - -json2args() { - # transforms the JSON string to command line args, and '_' is replaced to '-' - # example: - # input: { "model": "meta-llama/Llama-2-7b-chat-hf", "tensor_parallel_size": 1 } - # output: --model meta-llama/Llama-2-7b-chat-hf --tensor-parallel-size 1 - local json_string=$1 - local args=$( - echo "$json_string" | jq -r ' - to_entries | - map("--" + (.key | gsub("_"; "-")) + " " + (.value | tostring)) | - join(" ") - ' - ) - echo "$args" -} - -wait_for_server() { - timeout 1200 bash -c ' - until curl -s localhost:8000/v1/completions > /dev/null; do - sleep 1 - done' && return 0 || return 1 -} - -run_serving_tests() { - # run serving tests using `benchmark_serving.py` - # $1: a json file specifying serving test cases - - local serving_test_file - serving_test_file=$1 - - # Iterate over serving tests - jq -c '.[]' "$serving_test_file" | while read -r params; do - # get the test name, and append the GPU type back to it. - test_name=$(echo "$params" | jq -r '.test_name') - - # if TEST_SELECTOR is set, only run the test cases that match the selector - if [[ -n "$TEST_SELECTOR" ]] && [[ ! "$test_name" =~ $TEST_SELECTOR ]]; then - echo "Skip test case $test_name." - continue - fi - - # append vllm to the test name - test_name=sgl_$test_name - - - # get common parameters - common_params=$(echo "$params" | jq -r '.common_parameters') - model=$(echo "$common_params" | jq -r '.model') - tp=$(echo "$common_params" | jq -r '.tp') - dataset_name=$(echo "$common_params" | jq -r '.dataset_name') - dataset_path=$(echo "$common_params" | jq -r '.dataset_path') - port=$(echo "$common_params" | jq -r '.port') - num_prompts=$(echo "$common_params" | jq -r '.num_prompts') - - # get client and server arguments - server_params=$(echo "$params" | jq -r '.sgl_server_parameters') - client_params=$(echo "$params" | jq -r '.sgl_client_parameters') - server_args=$(json2args "$server_params") - client_args=$(json2args "$client_params") - qps_list=$(echo "$params" | jq -r '.qps_list') - qps_list=$(echo "$qps_list" | jq -r '.[] | @sh') - echo "Running over qps list $qps_list" - - # check if there is enough GPU to run the test - if [[ $gpu_count -lt $tp ]]; then - echo "Required tensor-parallel-size $tp but only $gpu_count GPU found. Skip testcase $test_name." - continue - fi - - if echo "$common_params" | jq -e 'has("fp8")' > /dev/null; then - echo "Key 'fp8' exists in common params. Use neuralmagic fp8 model for convenience." - model=$(echo "$common_params" | jq -r '.neuralmagic_quantized_model') - server_command="python3 \ - -m sglang.launch_server \ - --tp $tp \ - --model-path $model \ - --port $port \ - $server_args" - else - echo "Key 'fp8' does not exist in common params." - server_command="python3 \ - -m sglang.launch_server \ - --tp $tp \ - --model-path $model \ - --port $port \ - $server_args" - fi - - # run the server - echo "Running test case $test_name" - echo "Server command: $server_command" - eval "$server_command" & - - # wait until the server is alive - wait_for_server - if [ $? -eq 0 ]; then - echo "" - echo "sgl server is up and running." - else - echo "" - echo "sgl failed to start within the timeout period." - break - fi - - # iterate over different QPS - for qps in $qps_list; do - # remove the surrounding single quote from qps - if [[ "$qps" == *"inf"* ]]; then - echo "qps was $qps" - qps="inf" - echo "now qps is $qps" - fi - - new_test_name=$test_name"_qps_"$qps - - client_command="python3 benchmark_serving.py \ - --backend sglang \ - --model $model \ - --dataset-name $dataset_name \ - --dataset-path $dataset_path \ - --num-prompts $num_prompts \ - --port $port \ - --save-result \ - --result-dir $RESULTS_FOLDER \ - --result-filename ${new_test_name}.json \ - --request-rate $qps \ - $client_args" - - echo "Running test case $test_name with qps $qps" - echo "Client command: $client_command" - - eval "$client_command" - - # record the benchmarking commands - jq_output=$(jq -n \ - --arg server "$server_command" \ - --arg client "$client_command" \ - --arg gpu "$gpu_type" \ - --arg engine "sgl" \ - '{ - server_command: $server, - client_command: $client, - gpu_type: $gpu, - engine: $engine - }') - echo "$jq_output" >"$RESULTS_FOLDER/${new_test_name}.commands" - - done - - # clean up - kill_gpu_processes - rm -rf /root/.cache/huggingface/* - done -} - - -upload_to_buildkite() { - # upload the benchmarking results to buildkite - - # if the agent binary is not found, skip uploading the results, exit 0 - if [ ! -f /workspace/buildkite-agent ]; then - echo "buildkite-agent binary not found. Skip uploading the results." - return 0 - fi - # /workspace/buildkite-agent annotate --style "success" --context "benchmark-results" --append < $RESULTS_FOLDER/${CURRENT_LLM_SERVING_ENGINE}_nightly_results.md - /workspace/buildkite-agent artifact upload "$RESULTS_FOLDER/*" -} - -main() { - - check_gpus - # enter vllm directory - cd $VLLM_SOURCE_CODE_LOC/benchmarks - declare -g RESULTS_FOLDER=results/ - mkdir -p $RESULTS_FOLDER - BENCHMARK_ROOT=../.buildkite/nightly-benchmarks/ - - export CURRENT_LLM_SERVING_ENGINE=sgl - run_serving_tests $BENCHMARK_ROOT/tests/nightly-tests.json - - python3 -m pip install tabulate pandas - python3 $BENCHMARK_ROOT/scripts/summary-nightly-results.py - upload_to_buildkite - -} - -main "$@" \ No newline at end of file diff --git a/.buildkite/nightly-benchmarks/scripts/run-tgi-nightly.sh b/.buildkite/nightly-benchmarks/scripts/run-tgi-nightly.sh deleted file mode 100644 index fed03654f8b77..0000000000000 --- a/.buildkite/nightly-benchmarks/scripts/run-tgi-nightly.sh +++ /dev/null @@ -1,216 +0,0 @@ -#!/bin/bash - -set -o pipefail - -check_gpus() { - # check the number of GPUs and GPU type. - declare -g gpu_count=$(nvidia-smi --list-gpus | wc -l) - if [[ $gpu_count -gt 0 ]]; then - echo "GPU found." - else - echo "Need at least 1 GPU to run benchmarking." - exit 1 - fi - declare -g gpu_type=$(echo $(nvidia-smi --query-gpu=name --format=csv,noheader) | awk '{print $2}') - echo "GPU type is $gpu_type" -} - -kill_gpu_processes() { - pkill text-generation || true - # waiting for GPU processes to be fully killed - sleep 10 - # Print the GPU memory usage - # so that we know if all GPU processes are killed. - gpu_memory_usage=$(nvidia-smi --query-gpu=memory.used --format=csv,noheader,nounits -i 0) - # The memory usage should be 0 MB. - echo "GPU 0 Memory Usage: $gpu_memory_usage MB" -} - -json2args() { - # transforms the JSON string to command line args, and '_' is replaced to '-' - # example: - # input: { "model": "meta-llama/Llama-2-7b-chat-hf", "tensor_parallel_size": 1 } - # output: --model meta-llama/Llama-2-7b-chat-hf --tensor-parallel-size 1 - local json_string=$1 - local args=$( - echo "$json_string" | jq -r ' - to_entries | - map("--" + (.key | gsub("_"; "-")) + " " + (.value | tostring)) | - join(" ") - ' - ) - echo "$args" -} - -wait_for_server() { - timeout 1200 bash -c ' - until curl -s localhost:8000/generate_stream > /dev/null; do - sleep 1 - done' && return 0 || return 1 -} - -run_serving_tests() { - # run serving tests using `benchmark_serving.py` - # $1: a json file specifying serving test cases - - local serving_test_file - serving_test_file=$1 - - # Iterate over serving tests - jq -c '.[]' "$serving_test_file" | while read -r params; do - # get the test name, and append the GPU type back to it. - test_name=$(echo "$params" | jq -r '.test_name') - - - # if TEST_SELECTOR is set, only run the test cases that match the selector - if [[ -n "$TEST_SELECTOR" ]] && [[ ! "$test_name" =~ $TEST_SELECTOR ]]; then - echo "Skip test case $test_name." - continue - fi - - # append tgi to the test name - test_name=tgi_$test_name - - # get common parameters - common_params=$(echo "$params" | jq -r '.common_parameters') - model=$(echo "$common_params" | jq -r '.model') - tp=$(echo "$common_params" | jq -r '.tp') - dataset_name=$(echo "$common_params" | jq -r '.dataset_name') - dataset_path=$(echo "$common_params" | jq -r '.dataset_path') - port=$(echo "$common_params" | jq -r '.port') - num_prompts=$(echo "$common_params" | jq -r '.num_prompts') - - # get client and server arguments - server_params=$(echo "$params" | jq -r '.tgi_server_parameters') - client_params=$(echo "$params" | jq -r '.tgi_client_parameters') - server_args=$(json2args "$server_params") - client_args=$(json2args "$client_params") - qps_list=$(echo "$params" | jq -r '.qps_list') - qps_list=$(echo "$qps_list" | jq -r '.[] | @sh') - echo "Running over qps list $qps_list" - - # check if there is enough GPU to run the test - if [[ $gpu_count -lt $tp ]]; then - echo "Required num-shard $tp but only $gpu_count GPU found. Skip testcase $test_name." - continue - fi - - if echo "$common_params" | jq -e 'has("fp8")' > /dev/null; then - echo "Key 'fp8' exists in common params." - server_command="/tgi-entrypoint.sh \ - --model-id $model \ - --num-shard $tp \ - --port $port \ - --quantize fp8 \ - $server_args" - else - echo "Key 'fp8' does not exist in common params." - server_command="/tgi-entrypoint.sh \ - --model-id $model \ - --num-shard $tp \ - --port $port \ - $server_args" - fi - - - - - # run the server - echo "Running test case $test_name" - echo "Server command: $server_command" - eval "$server_command" & - - # wait until the server is alive - wait_for_server - if [ $? -eq 0 ]; then - echo "" - echo "tgi server is up and running." - else - echo "" - echo "tgi failed to start within the timeout period." - break - fi - - # iterate over different QPS - for qps in $qps_list; do - # remove the surrounding single quote from qps - if [[ "$qps" == *"inf"* ]]; then - echo "qps was $qps" - qps="inf" - echo "now qps is $qps" - fi - - new_test_name=$test_name"_qps_"$qps - - client_command="python3 benchmark_serving.py \ - --backend tgi \ - --model $model \ - --dataset-name $dataset_name \ - --dataset-path $dataset_path \ - --num-prompts $num_prompts \ - --port $port \ - --save-result \ - --result-dir $RESULTS_FOLDER \ - --result-filename ${new_test_name}.json \ - --request-rate $qps \ - $client_args" - - echo "Running test case $test_name with qps $qps" - echo "Client command: $client_command" - - eval "$client_command" - - # record the benchmarking commands - jq_output=$(jq -n \ - --arg server "$server_command" \ - --arg client "$client_command" \ - --arg gpu "$gpu_type" \ - --arg engine "tgi" \ - '{ - server_command: $server, - client_command: $client, - gpu_type: $gpu, - engine: $engine - }') - echo "$jq_output" >"$RESULTS_FOLDER/${new_test_name}.commands" - - done - - # clean up - kill_gpu_processes - rm -rf /root/.cache/huggingface/* - done -} - - - -upload_to_buildkite() { - # upload the benchmarking results to buildkite - - # if the agent binary is not found, skip uploading the results, exit 0 - if [ ! -f /workspace/buildkite-agent ]; then - echo "buildkite-agent binary not found. Skip uploading the results." - return 0 - fi - # /workspace/buildkite-agent annotate --style "success" --context "benchmark-results" --append < $RESULTS_FOLDER/${CURRENT_LLM_SERVING_ENGINE}_nightly_results.md - /workspace/buildkite-agent artifact upload "$RESULTS_FOLDER/*" -} - -main() { - - check_gpus - # enter vllm directory - cd $VLLM_SOURCE_CODE_LOC/benchmarks - declare -g RESULTS_FOLDER=results/ - mkdir -p $RESULTS_FOLDER - BENCHMARK_ROOT=../.buildkite/nightly-benchmarks/ - - export CURRENT_LLM_SERVING_ENGINE=tgi - run_serving_tests $BENCHMARK_ROOT/tests/nightly-tests.json - python -m pip install tabulate pandas - python $BENCHMARK_ROOT/scripts/summary-nightly-results.py - upload_to_buildkite - -} - -main "$@" diff --git a/.buildkite/nightly-benchmarks/scripts/run-trt-nightly.sh b/.buildkite/nightly-benchmarks/scripts/run-trt-nightly.sh deleted file mode 100644 index 903939887d22d..0000000000000 --- a/.buildkite/nightly-benchmarks/scripts/run-trt-nightly.sh +++ /dev/null @@ -1,211 +0,0 @@ -#!/bin/bash - -set -o pipefail - -check_gpus() { - # check the number of GPUs and GPU type. - declare -g gpu_count=$(nvidia-smi --list-gpus | wc -l) - if [[ $gpu_count -gt 0 ]]; then - echo "GPU found." - else - echo "Need at least 1 GPU to run benchmarking." - exit 1 - fi - declare -g gpu_type=$(echo $(nvidia-smi --query-gpu=name --format=csv,noheader) | awk '{print $2}') - echo "GPU type is $gpu_type" -} - -kill_gpu_processes() { - pkill tritonserver || true - # waiting for GPU processes to be fully killed - sleep 20 - # Print the GPU memory usage - # so that we know if all GPU processes are killed. - gpu_memory_usage=$(nvidia-smi --query-gpu=memory.used --format=csv,noheader,nounits -i 0) - # The memory usage should be 0 MB. - echo "GPU 0 Memory Usage: $gpu_memory_usage MB" -} - -json2args() { - # transforms the JSON string to command line args, and '_' is replaced to '-' - # example: - # input: { "model": "meta-llama/Llama-2-7b-chat-hf", "tensor_parallel_size": 1 } - # output: --model meta-llama/Llama-2-7b-chat-hf --tensor-parallel-size 1 - local json_string=$1 - local args=$( - echo "$json_string" | jq -r ' - to_entries | - map("--" + (.key | gsub("_"; "-")) + " " + (.value | tostring)) | - join(" ") - ' - ) - echo "$args" -} - -wait_for_server() { - timeout 1200 bash -c ' - until curl -s localhost:8000/generate_stream > /dev/null; do - sleep 1 - done' && return 0 || return 1 -} - -run_serving_tests() { - # run serving tests using `benchmark_serving.py` - # $1: a json file specifying serving test cases - - local serving_test_file - serving_test_file=$1 - - # Iterate over serving tests - jq -c '.[]' "$serving_test_file" | while read -r params; do - # get the test name, and append the GPU type back to it. - test_name=$(echo "$params" | jq -r '.test_name') - - # if TEST_SELECTOR is set, only run the test cases that match the selector - if [[ -n "$TEST_SELECTOR" ]] && [[ ! "$test_name" =~ $TEST_SELECTOR ]]; then - echo "Skip test case $test_name." - continue - fi - - # append trt to the test name - test_name=trt_$test_name - - # get common parameters - common_params=$(echo "$params" | jq -r '.common_parameters') - model=$(echo "$common_params" | jq -r '.model') - tp=$(echo "$common_params" | jq -r '.tp') - dataset_name=$(echo "$common_params" | jq -r '.dataset_name') - dataset_path=$(echo "$common_params" | jq -r '.dataset_path') - port=$(echo "$common_params" | jq -r '.port') - num_prompts=$(echo "$common_params" | jq -r '.num_prompts') - - # get client and server arguments - server_params=$(echo "$params" | jq -r '.trt_server_parameters') - client_params=$(echo "$params" | jq -r '.trt_client_parameters') - client_args=$(json2args "$client_params") - qps_list=$(echo "$params" | jq -r '.qps_list') - qps_list=$(echo "$qps_list" | jq -r '.[] | @sh') - echo "Running over qps list $qps_list" - - # check if there is enough GPU to run the test - if [[ $gpu_count -lt $tp ]]; then - echo "Required model_tp_size $tp but only $gpu_count GPU found. Skip testcase $test_name." - continue - fi - - - - cd $VLLM_SOURCE_CODE_LOC/benchmarks - - - echo "Running test case $test_name" - bash ../.buildkite/nightly-benchmarks/scripts/launch-trt-server.sh "$server_params" "$common_params" - - # wait until the server is alive - wait_for_server - if [ $? -eq 0 ]; then - echo "" - echo "trt server is up and running." - else - echo "" - echo "trt failed to start within the timeout period." - break - fi - - # prepare tokenizer - cd $VLLM_SOURCE_CODE_LOC/benchmarks - rm -rf /tokenizer_cache - mkdir /tokenizer_cache - python3 ../.buildkite/nightly-benchmarks/scripts/download-tokenizer.py \ - --model "$model" \ - --cachedir /tokenizer_cache - cd $VLLM_SOURCE_CODE_LOC/benchmarks - - - # iterate over different QPS - for qps in $qps_list; do - # remove the surrounding single quote from qps - if [[ "$qps" == *"inf"* ]]; then - echo "qps was $qps" - qps="inf" - echo "now qps is $qps" - fi - - new_test_name=$test_name"_qps_"$qps - - client_command="python3 benchmark_serving.py \ - --backend tensorrt-llm \ - --tokenizer /tokenizer_cache \ - --model $model \ - --dataset-name $dataset_name \ - --dataset-path $dataset_path \ - --num-prompts $num_prompts \ - --port $port \ - --save-result \ - --result-dir $RESULTS_FOLDER \ - --result-filename ${new_test_name}.json \ - --request-rate $qps \ - $client_args" - - echo "Running test case $test_name with qps $qps" - echo "Client command: $client_command" - - eval "$client_command" - - server_command="" - # record the benchmarking commands - jq_output=$(jq -n \ - --arg server "$server_command" \ - --arg client "$client_command" \ - --arg gpu "$gpu_type" \ - --arg engine "trt" \ - '{ - server_command: $server, - client_command: $client, - gpu_type: $gpu, - engine: $engine - }') - echo "$jq_output" >"$RESULTS_FOLDER/${new_test_name}.commands" - - done - - # clean up - kill_gpu_processes - rm -rf /root/.cache/huggingface/* - done -} - -upload_to_buildkite() { - # upload the benchmarking results to buildkite - - # if the agent binary is not found, skip uploading the results, exit 0 - if [ ! -f /workspace/buildkite-agent ]; then - echo "buildkite-agent binary not found. Skip uploading the results." - return 0 - fi - # /workspace/buildkite-agent annotate --style "success" --context "benchmark-results" --append < $RESULTS_FOLDER/${CURRENT_LLM_SERVING_ENGINE}_nightly_results.md - /workspace/buildkite-agent artifact upload "$RESULTS_FOLDER/*" -} - - -main() { - - check_gpus - - - # enter vllm directory - cd $VLLM_SOURCE_CODE_LOC/benchmarks - - declare -g RESULTS_FOLDER=results/ - mkdir -p $RESULTS_FOLDER - BENCHMARK_ROOT=../.buildkite/nightly-benchmarks/ - - export CURRENT_LLM_SERVING_ENGINE=trt - run_serving_tests $BENCHMARK_ROOT/tests/nightly-tests.json - python3 -m pip install tabulate pandas - python3 $BENCHMARK_ROOT/scripts/summary-nightly-results.py - upload_to_buildkite - -} - -main "$@" diff --git a/.buildkite/nightly-benchmarks/scripts/run-vllm-nightly.sh b/.buildkite/nightly-benchmarks/scripts/run-vllm-nightly.sh deleted file mode 100644 index a0facf96386cd..0000000000000 --- a/.buildkite/nightly-benchmarks/scripts/run-vllm-nightly.sh +++ /dev/null @@ -1,225 +0,0 @@ -#!/bin/bash - -set -o pipefail - -check_gpus() { - # check the number of GPUs and GPU type. - declare -g gpu_count=$(nvidia-smi --list-gpus | wc -l) - if [[ $gpu_count -gt 0 ]]; then - echo "GPU found." - else - echo "Need at least 1 GPU to run benchmarking." - exit 1 - fi - declare -g gpu_type=$(echo $(nvidia-smi --query-gpu=name --format=csv,noheader) | awk '{print $2}') - echo "GPU type is $gpu_type" -} - -kill_gpu_processes() { - # kill all processes on GPU. - ps aux | grep python | grep openai | awk '{print $2}' | xargs -r kill -9 - ps -e | grep pt_main_thread | awk '{print $1}' | xargs kill -9 - sleep 10 - - # remove vllm config file - rm -rf ~/.config/vllm - - # Print the GPU memory usage - # so that we know if all GPU processes are killed. - gpu_memory_usage=$(nvidia-smi --query-gpu=memory.used --format=csv,noheader,nounits -i 0) - # The memory usage should be 0 MB. - echo "GPU 0 Memory Usage: $gpu_memory_usage MB" -} - -json2args() { - # transforms the JSON string to command line args, and '_' is replaced to '-' - # example: - # input: { "model": "meta-llama/Llama-2-7b-chat-hf", "tensor_parallel_size": 1 } - # output: --model meta-llama/Llama-2-7b-chat-hf --tensor-parallel-size 1 - local json_string=$1 - local args=$( - echo "$json_string" | jq -r ' - to_entries | - map("--" + (.key | gsub("_"; "-")) + " " + (.value | tostring)) | - join(" ") - ' - ) - echo "$args" -} - -wait_for_server() { - # wait for vllm server to start - # return 1 if vllm server crashes - timeout 1200 bash -c ' - until curl -s localhost:8000/v1/completions > /dev/null; do - sleep 1 - done' && return 0 || return 1 -} - -run_serving_tests() { - # run serving tests using `benchmark_serving.py` - # $1: a json file specifying serving test cases - - local serving_test_file - serving_test_file=$1 - - # Iterate over serving tests - jq -c '.[]' "$serving_test_file" | while read -r params; do - # get the test name, and append the GPU type back to it. - test_name=$(echo "$params" | jq -r '.test_name') - - # if TEST_SELECTOR is set, only run the test cases that match the selector - if [[ -n "$TEST_SELECTOR" ]] && [[ ! "$test_name" =~ $TEST_SELECTOR ]]; then - echo "Skip test case $test_name." - continue - fi - - # append vllm to the test name - test_name=vllm_$test_name - - - # get common parameters - common_params=$(echo "$params" | jq -r '.common_parameters') - model=$(echo "$common_params" | jq -r '.model') - tp=$(echo "$common_params" | jq -r '.tp') - dataset_name=$(echo "$common_params" | jq -r '.dataset_name') - dataset_path=$(echo "$common_params" | jq -r '.dataset_path') - port=$(echo "$common_params" | jq -r '.port') - num_prompts=$(echo "$common_params" | jq -r '.num_prompts') - - # get client and server arguments - server_params=$(echo "$params" | jq -r '.vllm_server_parameters') - client_params=$(echo "$params" | jq -r '.vllm_client_parameters') - server_args=$(json2args "$server_params") - client_args=$(json2args "$client_params") - qps_list=$(echo "$params" | jq -r '.qps_list') - qps_list=$(echo "$qps_list" | jq -r '.[] | @sh') - echo "Running over qps list $qps_list" - - # check if there is enough GPU to run the test - if [[ $gpu_count -lt $tp ]]; then - echo "Required tensor-parallel-size $tp but only $gpu_count GPU found. Skip testcase $test_name." - continue - fi - - if echo "$common_params" | jq -e 'has("fp8")' > /dev/null; then - echo "Key 'fp8' exists in common params. Use neuralmagic fp8 model for convenience." - model=$(echo "$common_params" | jq -r '.neuralmagic_quantized_model') - server_command="python3 \ - -m vllm.entrypoints.openai.api_server \ - -tp $tp \ - --model $model \ - --port $port \ - $server_args" - else - echo "Key 'fp8' does not exist in common params." - server_command="python3 \ - -m vllm.entrypoints.openai.api_server \ - -tp $tp \ - --model $model \ - --port $port \ - $server_args" - fi - - # run the server - echo "Running test case $test_name" - echo "Server command: $server_command" - eval "$server_command" & - - # wait until the server is alive - wait_for_server - if [ $? -eq 0 ]; then - echo "" - echo "vllm server is up and running." - else - echo "" - echo "vllm failed to start within the timeout period." - break - fi - - # iterate over different QPS - for qps in $qps_list; do - # remove the surrounding single quote from qps - if [[ "$qps" == *"inf"* ]]; then - echo "qps was $qps" - qps="inf" - echo "now qps is $qps" - fi - - new_test_name=$test_name"_qps_"$qps - - client_command="python3 benchmark_serving.py \ - --backend vllm \ - --model $model \ - --dataset-name $dataset_name \ - --dataset-path $dataset_path \ - --num-prompts $num_prompts \ - --port $port \ - --save-result \ - --result-dir $RESULTS_FOLDER \ - --result-filename ${new_test_name}.json \ - --request-rate $qps \ - $client_args" - - echo "Running test case $test_name with qps $qps" - echo "Client command: $client_command" - - eval "$client_command" - - # record the benchmarking commands - jq_output=$(jq -n \ - --arg server "$server_command" \ - --arg client "$client_command" \ - --arg gpu "$gpu_type" \ - --arg engine "vllm" \ - '{ - server_command: $server, - client_command: $client, - gpu_type: $gpu, - engine: $engine - }') - echo "$jq_output" >"$RESULTS_FOLDER/${new_test_name}.commands" - - done - - # clean up - kill_gpu_processes - rm -rf /root/.cache/huggingface/* - done -} - - -upload_to_buildkite() { - # upload the benchmarking results to buildkite - - # if the agent binary is not found, skip uploading the results, exit 0 - if [ ! -f /workspace/buildkite-agent ]; then - echo "buildkite-agent binary not found. Skip uploading the results." - return 0 - fi - # /workspace/buildkite-agent annotate --style "success" --context "benchmark-results" --append < $RESULTS_FOLDER/${CURRENT_LLM_SERVING_ENGINE}_nightly_results.md - /workspace/buildkite-agent artifact upload "$RESULTS_FOLDER/*" -} - -main() { - - - export VLLM_HOST_IP=$(hostname -I | awk '{print $1}') - - check_gpus - # enter vllm directory - cd $VLLM_SOURCE_CODE_LOC/benchmarks - declare -g RESULTS_FOLDER=results/ - mkdir -p $RESULTS_FOLDER - BENCHMARK_ROOT=../.buildkite/nightly-benchmarks/ - - export CURRENT_LLM_SERVING_ENGINE=vllm - run_serving_tests $BENCHMARK_ROOT/tests/nightly-tests.json - - python3 -m pip install tabulate pandas - python3 $BENCHMARK_ROOT/scripts/summary-nightly-results.py - upload_to_buildkite - -} - -main "$@" From 797c4d65f5e3afcd38f6901fab1190fbad8ad4d2 Mon Sep 17 00:00:00 2001 From: Kuntai Du Date: Sun, 18 Aug 2024 15:39:10 -0700 Subject: [PATCH 042/176] merge server launching script into one place --- .../scripts/launch-server.sh | 303 +++++++++++++----- 1 file changed, 230 insertions(+), 73 deletions(-) diff --git a/.buildkite/nightly-benchmarks/scripts/launch-server.sh b/.buildkite/nightly-benchmarks/scripts/launch-server.sh index 06dee2796822b..a3dd27c102c5d 100644 --- a/.buildkite/nightly-benchmarks/scripts/launch-server.sh +++ b/.buildkite/nightly-benchmarks/scripts/launch-server.sh @@ -1,80 +1,237 @@ #!/bin/bash -set -x +# Currently FP8 benchmark is NOT enabled. +set -x server_params=$1 common_params=$2 +json2args() { + # transforms the JSON string to command line args, and '_' is replaced to '-' + # example: + # input: { "model": "meta-llama/Llama-2-7b-chat-hf", "tensor_parallel_size": 1 } + # output: --model meta-llama/Llama-2-7b-chat-hf --tensor-parallel-size 1 + local json_string=$1 + local args=$( + echo "$json_string" | jq -r ' + to_entries | + map("--" + (.key | gsub("_"; "-")) + " " + (.value | tostring)) | + join(" ") + ' + ) + echo "$args" +} + +launch_trt_server() { + + model_path=$(echo "$common_params" | jq -r '.model') + model_name="${model_path#*/}" + model_type=$(echo "$server_params" | jq -r '.model_type') + model_dtype=$(echo "$server_params" | jq -r '.model_dtype') + model_tp_size=$(echo "$common_params" | jq -r '.tp') + max_batch_size=$(echo "$server_params" | jq -r '.max_batch_size') + max_input_len=$(echo "$server_params" | jq -r '.max_input_len') + max_seq_len=$(echo "$server_params" | jq -r '.max_seq_len') + max_num_tokens=$(echo "$server_params" | jq -r '.max_num_tokens') + trt_llm_version=$(echo "$server_params" | jq -r '.trt_llm_version') + + # create model caching directory + cd ~ + rm -rf models + mkdir -p models + cd models + models_dir=$(pwd) + trt_model_path=${models_dir}/${model_name}-trt-ckpt + trt_engine_path=${models_dir}/${model_name}-trt-engine + + # clone tensorrt backend + cd / + rm -rf tensorrtllm_backend + git clone https://github.com/triton-inference-server/tensorrtllm_backend.git + git lfs install + cd tensorrtllm_backend + git checkout $trt_llm_version + tensorrtllm_backend_dir=$(pwd) + git submodule update --init --recursive + + # build trtllm engine + cd /tensorrtllm_backend + cd ./tensorrt_llm/examples/${model_type} + python3 convert_checkpoint.py \ + --model_dir ${model_path} \ + --dtype ${model_dtype} \ + --tp_size ${model_tp_size} \ + --output_dir ${trt_model_path} + trtllm-build \ + --checkpoint_dir ${trt_model_path} \ + --use_fused_mlp \ + --reduce_fusion disable \ + --workers 8 \ + --gpt_attention_plugin ${model_dtype} \ + --gemm_plugin ${model_dtype} \ + --tp_size ${model_tp_size} \ + --max_batch_size ${max_batch_size} \ + --max_input_len ${max_input_len} \ + --max_seq_len ${max_seq_len} \ + --max_num_tokens ${max_num_tokens} \ + --output_dir ${trt_engine_path} + + # handle triton protobuf files and launch triton server + cd /tensorrtllm_backend + mkdir triton_model_repo + cp -r all_models/inflight_batcher_llm/* triton_model_repo/ + cd triton_model_repo + rm -rf ./tensorrt_llm/1/* + cp -r ${trt_engine_path}/* ./tensorrt_llm/1 + python3 ../tools/fill_template.py -i tensorrt_llm/config.pbtxt triton_backend:tensorrtllm,engine_dir:/tensorrtllm_backend/triton_model_repo/tensorrt_llm/1,decoupled_mode:true,batching_strategy:inflight_fused_batching,batch_scheduler_policy:guaranteed_no_evict,exclude_input_in_output:true,triton_max_batch_size:2048,max_queue_delay_microseconds:0,max_beam_width:1,max_queue_size:2048,enable_kv_cache_reuse:false + python3 ../tools/fill_template.py -i preprocessing/config.pbtxt triton_max_batch_size:2048,tokenizer_dir:$model_path,preprocessing_instance_count:5 + python3 ../tools/fill_template.py -i postprocessing/config.pbtxt triton_max_batch_size:2048,tokenizer_dir:$model_path,postprocessing_instance_count:5,skip_special_tokens:false + python3 ../tools/fill_template.py -i ensemble/config.pbtxt triton_max_batch_size:$max_batch_size + python3 ../tools/fill_template.py -i tensorrt_llm_bls/config.pbtxt triton_max_batch_size:$max_batch_size,decoupled_mode:true,accumulate_tokens:"False",bls_instance_count:1 + cd /tensorrtllm_backend + python3 scripts/launch_triton_server.py \ + --world_size=${model_tp_size} \ + --model_repo=/tensorrtllm_backend/triton_model_repo & + +} + +launch_tgi_server() { + model=$(echo "$common_params" | jq -r '.model') + tp=$(echo "$common_params" | jq -r '.tp') + dataset_name=$(echo "$common_params" | jq -r '.dataset_name') + dataset_path=$(echo "$common_params" | jq -r '.dataset_path') + port=$(echo "$common_params" | jq -r '.port') + num_prompts=$(echo "$common_params" | jq -r '.num_prompts') + server_args=$(json2args "$server_params") + + if echo "$common_params" | jq -e 'has("fp8")' >/dev/null; then + echo "Key 'fp8' exists in common params." + server_command="/tgi-entrypoint.sh \ + --model-id $model \ + --num-shard $tp \ + --port $port \ + --quantize fp8 \ + $server_args" + else + echo "Key 'fp8' does not exist in common params." + server_command="/tgi-entrypoint.sh \ + --model-id $model \ + --num-shard $tp \ + --port $port \ + $server_args" + fi + + echo "Server command: $server_command" + eval "$server_command" & + +} + +launch_lmdeploy_server() { + model=$(echo "$common_params" | jq -r '.model') + tp=$(echo "$common_params" | jq -r '.tp') + dataset_name=$(echo "$common_params" | jq -r '.dataset_name') + dataset_path=$(echo "$common_params" | jq -r '.dataset_path') + port=$(echo "$common_params" | jq -r '.port') + num_prompts=$(echo "$common_params" | jq -r '.num_prompts') + server_args=$(json2args "$server_params") + + server_command="lmdeploy serve api_server $model \ + --tp $tp \ + --server-port $port \ + $server_args" + + # run the server + echo "Server command: $server_command" + bash -c "$server_command" & +} + +launch_sglang_server() { + + model=$(echo "$common_params" | jq -r '.model') + tp=$(echo "$common_params" | jq -r '.tp') + dataset_name=$(echo "$common_params" | jq -r '.dataset_name') + dataset_path=$(echo "$common_params" | jq -r '.dataset_path') + port=$(echo "$common_params" | jq -r '.port') + num_prompts=$(echo "$common_params" | jq -r '.num_prompts') + + if echo "$common_params" | jq -e 'has("fp8")' >/dev/null; then + echo "Key 'fp8' exists in common params. Use neuralmagic fp8 model for convenience." + model=$(echo "$common_params" | jq -r '.neuralmagic_quantized_model') + server_command="python3 \ + -m sglang.launch_server \ + --tp $tp \ + --model-path $model \ + --port $port \ + $server_args" + else + echo "Key 'fp8' does not exist in common params." + server_command="python3 \ + -m sglang.launch_server \ + --tp $tp \ + --model-path $model \ + --port $port \ + $server_args" + fi + + # run the server + echo "Server command: $server_command" + eval "$server_command" & +} + +launch_vllm_server() { + + model=$(echo "$common_params" | jq -r '.model') + tp=$(echo "$common_params" | jq -r '.tp') + dataset_name=$(echo "$common_params" | jq -r '.dataset_name') + dataset_path=$(echo "$common_params" | jq -r '.dataset_path') + port=$(echo "$common_params" | jq -r '.port') + num_prompts=$(echo "$common_params" | jq -r '.num_prompts') + + if echo "$common_params" | jq -e 'has("fp8")' >/dev/null; then + echo "Key 'fp8' exists in common params. Use neuralmagic fp8 model for convenience." + model=$(echo "$common_params" | jq -r '.neuralmagic_quantized_model') + server_command="python3 \ + -m vllm.entrypoints.openai.api_server \ + -tp $tp \ + --model $model \ + --port $port \ + $server_args" + else + echo "Key 'fp8' does not exist in common params." + server_command="python3 \ + -m vllm.entrypoints.openai.api_server \ + -tp $tp \ + --model $model \ + --port $port \ + $server_args" + fi + + # run the server + echo "Server command: $server_command" + eval "$server_command" & +} + +main() { + + if [[ $CURRENT_LLM_SERVING_ENGINE == "trt" ]]; then + launch_trt_server + fi + + if [[ $CURRENT_LLM_SERVING_ENGINE == "tgi" ]]; then + launch_tgi_server + fi + + if [[ $CURRENT_LLM_SERVING_ENGINE == "lmdeploy" ]]; then + launch_lmdeploy_server + fi + + if [[ $CURRENT_LLM_SERVING_ENGINE == "sglang" ]]; then + launch_sglang_server + fi + + if [[ $CURRENT_LLM_SERVING_ENGINE == "vllm" ]]; then + launch_vllm_server + fi +} -model_path=$(echo "$common_params" | jq -r '.model') -model_name="${model_path#*/}" -model_type=$(echo "$server_params" | jq -r '.model_type') -model_dtype=$(echo "$server_params" | jq -r '.model_dtype') -model_tp_size=$(echo "$common_params" | jq -r '.tp') -max_batch_size=$(echo "$server_params" | jq -r '.max_batch_size') -max_input_len=$(echo "$server_params" | jq -r '.max_input_len') -max_seq_len=$(echo "$server_params" | jq -r '.max_seq_len') -max_num_tokens=$(echo "$server_params" | jq -r '.max_num_tokens') -trt_llm_version=$(echo "$server_params" | jq -r '.trt_llm_version') - - -# create model caching directory -cd ~ -rm -rf models -mkdir -p models -cd models -models_dir=$(pwd) -trt_model_path=${models_dir}/${model_name}-trt-ckpt -trt_engine_path=${models_dir}/${model_name}-trt-engine - - -# clone tensorrt backend -cd / -rm -rf tensorrtllm_backend -git clone https://github.com/triton-inference-server/tensorrtllm_backend.git -git lfs install -cd tensorrtllm_backend -git checkout $trt_llm_version -tensorrtllm_backend_dir=$(pwd) -git submodule update --init --recursive - - -# build trtllm engine -cd /tensorrtllm_backend -cd ./tensorrt_llm/examples/${model_type} -python3 convert_checkpoint.py \ - --model_dir ${model_path} \ - --dtype ${model_dtype} \ - --tp_size ${model_tp_size} \ - --output_dir ${trt_model_path} -trtllm-build \ ---checkpoint_dir ${trt_model_path} \ ---use_fused_mlp \ ---reduce_fusion disable \ ---workers 8 \ ---gpt_attention_plugin ${model_dtype} \ ---gemm_plugin ${model_dtype} \ ---tp_size ${model_tp_size} \ ---max_batch_size ${max_batch_size} \ ---max_input_len ${max_input_len} \ ---max_seq_len ${max_seq_len} \ ---max_num_tokens ${max_num_tokens} \ ---output_dir ${trt_engine_path} - - -# handle triton protobuf files and launch triton server -cd /tensorrtllm_backend -mkdir triton_model_repo -cp -r all_models/inflight_batcher_llm/* triton_model_repo/ -cd triton_model_repo -rm -rf ./tensorrt_llm/1/* -cp -r ${trt_engine_path}/* ./tensorrt_llm/1 -python3 ../tools/fill_template.py -i tensorrt_llm/config.pbtxt triton_backend:tensorrtllm,engine_dir:/tensorrtllm_backend/triton_model_repo/tensorrt_llm/1,decoupled_mode:true,batching_strategy:inflight_fused_batching,batch_scheduler_policy:guaranteed_no_evict,exclude_input_in_output:true,triton_max_batch_size:2048,max_queue_delay_microseconds:0,max_beam_width:1,max_queue_size:2048,enable_kv_cache_reuse:false -python3 ../tools/fill_template.py -i preprocessing/config.pbtxt triton_max_batch_size:2048,tokenizer_dir:$model_path,preprocessing_instance_count:5 -python3 ../tools/fill_template.py -i postprocessing/config.pbtxt triton_max_batch_size:2048,tokenizer_dir:$model_path,postprocessing_instance_count:5,skip_special_tokens:false -python3 ../tools/fill_template.py -i ensemble/config.pbtxt triton_max_batch_size:$max_batch_size -python3 ../tools/fill_template.py -i tensorrt_llm_bls/config.pbtxt triton_max_batch_size:$max_batch_size,decoupled_mode:true,accumulate_tokens:"False",bls_instance_count:1 -cd /tensorrtllm_backend -python3 scripts/launch_triton_server.py \ ---world_size=${model_tp_size} \ ---model_repo=/tensorrtllm_backend/triton_model_repo & +main From 6fd153a2a23a19613dca038e956db4d0712428bc Mon Sep 17 00:00:00 2001 From: Kuntai Du Date: Sun, 18 Aug 2024 15:49:14 -0700 Subject: [PATCH 043/176] adjust the testing cases --- .buildkite/nightly-benchmarks/tests/nightly-tests.json | 5 ++++- 1 file changed, 4 insertions(+), 1 deletion(-) diff --git a/.buildkite/nightly-benchmarks/tests/nightly-tests.json b/.buildkite/nightly-benchmarks/tests/nightly-tests.json index ff385595e9c6d..9ae7e706d4c2e 100644 --- a/.buildkite/nightly-benchmarks/tests/nightly-tests.json +++ b/.buildkite/nightly-benchmarks/tests/nightly-tests.json @@ -8,7 +8,8 @@ "dataset_name": "sharegpt", "dataset_path": "./ShareGPT_V3_unfiltered_cleaned_split.json", "num_prompts": 500, - "port": 8000 + "port": 8000, + "reuse_server": false }, "lmdeploy_server_parameters": { }, @@ -40,6 +41,8 @@ "sglang_server_parameters": { "disable_radix_cache": "", "enable_torch_compile": "" + }, + "sglang_client_parameters": { } } ] \ No newline at end of file From 61a45b538bf75d400434522a90601ae3b790dbf3 Mon Sep 17 00:00:00 2001 From: Kuntai Du Date: Mon, 19 Aug 2024 15:37:14 -0700 Subject: [PATCH 044/176] bug fix on finding nightly-tests.json --- .../scripts/run-nightly-benchmarks.sh | 23 +++++++-- .../tests/nightly-tests.json | 50 ++++++++++++++++++- 2 files changed, 68 insertions(+), 5 deletions(-) diff --git a/.buildkite/nightly-benchmarks/scripts/run-nightly-benchmarks.sh b/.buildkite/nightly-benchmarks/scripts/run-nightly-benchmarks.sh index c66d3d4d96cfa..819b045700fd3 100644 --- a/.buildkite/nightly-benchmarks/scripts/run-nightly-benchmarks.sh +++ b/.buildkite/nightly-benchmarks/scripts/run-nightly-benchmarks.sh @@ -239,6 +239,23 @@ run_serving_tests() { kill_gpu_processes } + +prepare_dataset() { + + # download sharegpt dataset + cd $VLLM_SOURCE_CODE_LOC/benchmarks + wget https://huggingface.co/datasets/anon8231489123/ShareGPT_Vicuna_unfiltered/resolve/main/ShareGPT_V3_unfiltered_cleaned_split.json + + # duplicate sonnet by 4x, to allow benchmarking with input length 2048 + cd $VLLM_SOURCE_CODE_LOC/benchmarks + echo "" > sonnet_4x.txt + for _ in {1..4} + do + cat sonnet.txt >> sonnet_4x.txt + done + +} + main() { check_gpus @@ -252,12 +269,12 @@ main() { ensure_installed curl ensure_installed jq - # download benchmark dataset, and prepare + prepare_dataset + cd $VLLM_SOURCE_CODE_LOC/benchmarks - wget https://huggingface.co/datasets/anon8231489123/ShareGPT_Vicuna_unfiltered/resolve/main/ShareGPT_V3_unfiltered_cleaned_split.json declare -g RESULTS_FOLDER=results/ mkdir -p $RESULTS_FOLDER - BENCHMARK_ROOT=../.buildkite/nightly-benchmarks/ + BENCHMARK_ROOT=$VLLM_SOURCE_CODE_LOC/.buildkite/nightly-benchmarks/ # run the test run_serving_tests $BENCHMARK_ROOT/tests/nightly-tests.json diff --git a/.buildkite/nightly-benchmarks/tests/nightly-tests.json b/.buildkite/nightly-benchmarks/tests/nightly-tests.json index 9ae7e706d4c2e..e872ab5c62a7e 100644 --- a/.buildkite/nightly-benchmarks/tests/nightly-tests.json +++ b/.buildkite/nightly-benchmarks/tests/nightly-tests.json @@ -1,7 +1,7 @@ [ { - "test_name": "llama8B_tp1", - "qps_list": [2,4,8,16,"inf"], + "test_name": "llama8B_tp1_sharegpt", + "qps_list": ["inf"], "common_parameters": { "model": "meta-llama/Llama-2-7b-hf", "tp": 1, @@ -44,5 +44,51 @@ }, "sglang_client_parameters": { } + }, + { + "test_name": "llama8B_tp1_sonnet_2048_128", + "qps_list": ["inf"], + "common_parameters": { + "model": "meta-llama/Llama-2-7b-hf", + "tp": 1, + "dataset_name": "sonnet", + "dataset_path": "./sonnet_4x.txt", + "num_prompts": 500, + "port": 8000, + "reuse_server": true + }, + "lmdeploy_server_parameters": { + }, + "lmdeploy_client_parameters": { + }, + "tgi_server_parameters": { + }, + "tgi_client_parameters": { + "endpoint": "/generate_stream" + }, + "trt_server_parameters": { + "model_type": "llama", + "model_dtype": "float16", + "max_batch_size": 2048, + "max_input_len": 4096, + "max_seq_len": 6144, + "max_num_tokens": 16384, + "trt_llm_version": "v0.11.0" + }, + "trt_client_parameters": { + "endpoint": "/v2/models/ensemble/generate_stream" + }, + "vllm_server_parameters": { + "disable_log_stats": "", + "disable_log_requests": "" + }, + "vllm_client_parameters": { + }, + "sglang_server_parameters": { + "disable_radix_cache": "", + "enable_torch_compile": "" + }, + "sglang_client_parameters": { + } } ] \ No newline at end of file From eb592aa058c5fc8103dab8995bf67ac0308adc17 Mon Sep 17 00:00:00 2001 From: Kuntai Du Date: Mon, 19 Aug 2024 15:39:59 -0700 Subject: [PATCH 045/176] wait for server before running benchmark_serving.py --- .buildkite/nightly-benchmarks/scripts/run-nightly-benchmarks.sh | 2 ++ 1 file changed, 2 insertions(+) diff --git a/.buildkite/nightly-benchmarks/scripts/run-nightly-benchmarks.sh b/.buildkite/nightly-benchmarks/scripts/run-nightly-benchmarks.sh index 819b045700fd3..42e84e5e934c9 100644 --- a/.buildkite/nightly-benchmarks/scripts/run-nightly-benchmarks.sh +++ b/.buildkite/nightly-benchmarks/scripts/run-nightly-benchmarks.sh @@ -161,6 +161,8 @@ run_serving_tests() { "$server_params" "$common_params" fi + wait_for_server + if [ $? -eq 0 ]; then echo "" echo "$CURRENT_LLM_SERVING_ENGINE server is up and running." From c7aafa04964d801babe9bd4cbeb53f8c828a00de Mon Sep 17 00:00:00 2001 From: Kuntai Du Date: Mon, 19 Aug 2024 16:17:41 -0700 Subject: [PATCH 046/176] adjust sonnet parameters --- .../scripts/run-nightly-benchmarks.sh | 60 +++++++++++++++---- .../tests/nightly-tests.json | 7 ++- 2 files changed, 52 insertions(+), 15 deletions(-) diff --git a/.buildkite/nightly-benchmarks/scripts/run-nightly-benchmarks.sh b/.buildkite/nightly-benchmarks/scripts/run-nightly-benchmarks.sh index 42e84e5e934c9..7b7c5c712c329 100644 --- a/.buildkite/nightly-benchmarks/scripts/run-nightly-benchmarks.sh +++ b/.buildkite/nightly-benchmarks/scripts/run-nightly-benchmarks.sh @@ -199,19 +199,53 @@ run_serving_tests() { new_test_name=$test_name"_qps_"$qps - client_command="python3 benchmark_serving.py \ - --backend $CURRENT_LLM_SERVING_ENGINE \ - --tokenizer /tokenizer_cache \ - --model $model \ - --dataset-name $dataset_name \ - --dataset-path $dataset_path \ - --num-prompts $num_prompts \ - --port $port \ - --save-result \ - --result-dir $RESULTS_FOLDER \ - --result-filename ${new_test_name}.json \ - --request-rate $qps \ - $client_args" + if [[ "$dataset_name" = "sharegpt" ]]; then + + client_command="python3 benchmark_serving.py \ + --backend $CURRENT_LLM_SERVING_ENGINE \ + --tokenizer /tokenizer_cache \ + --model $model \ + --dataset-name $dataset_name \ + --dataset-path $dataset_path \ + --num-prompts $num_prompts \ + --port $port \ + --save-result \ + --result-dir $RESULTS_FOLDER \ + --result-filename ${new_test_name}.json \ + --request-rate $qps \ + $client_args" + + elif [[ "$dataset_name" = "sonnet" ]]; then + + sonnet_input_len=$(echo "$common_params" | jq -r '.sonnet_input_len') + sonnet_output_len=$(echo "$common_params" | jq -r '.sonnet_output_len') + sonnet_prefix_len=$(echo "$common_params" | jq -r '.sonnet_prefix_len') + + client_command="python3 benchmark_serving.py \ + --backend $CURRENT_LLM_SERVING_ENGINE \ + --tokenizer /tokenizer_cache \ + --model $model \ + --dataset-name $dataset_name \ + --dataset-path $dataset_path \ + --num-prompts $num_prompts \ + --sonnet-input-len $sonnet_input_len \ + --sonnet-output-len $sonnet_output_len \ + --sonnet-prefix-len $sonnet_prefix_len \ + --port $port \ + --save-result \ + --result-dir $RESULTS_FOLDER \ + --result-filename ${new_test_name}.json \ + --request-rate $qps \ + $client_args" + + else + + echo "The dataset name must be either 'sharegpt' or 'sonnet'. Got $dataset_name." + exit 1 + + fi + + echo "Running test case $test_name with qps $qps" echo "Client command: $client_command" diff --git a/.buildkite/nightly-benchmarks/tests/nightly-tests.json b/.buildkite/nightly-benchmarks/tests/nightly-tests.json index e872ab5c62a7e..09572640498a8 100644 --- a/.buildkite/nightly-benchmarks/tests/nightly-tests.json +++ b/.buildkite/nightly-benchmarks/tests/nightly-tests.json @@ -3,7 +3,7 @@ "test_name": "llama8B_tp1_sharegpt", "qps_list": ["inf"], "common_parameters": { - "model": "meta-llama/Llama-2-7b-hf", + "model": "meta-llama/Meta-Llama-3.1-8B", "tp": 1, "dataset_name": "sharegpt", "dataset_path": "./ShareGPT_V3_unfiltered_cleaned_split.json", @@ -49,12 +49,15 @@ "test_name": "llama8B_tp1_sonnet_2048_128", "qps_list": ["inf"], "common_parameters": { - "model": "meta-llama/Llama-2-7b-hf", + "model": "meta-llama/Meta-Llama-3.1-8B", "tp": 1, "dataset_name": "sonnet", "dataset_path": "./sonnet_4x.txt", "num_prompts": 500, "port": 8000, + "sonnet_input_len": 2048, + "sonnet_output_len": 128, + "sonnet_prefix_len": 50, "reuse_server": true }, "lmdeploy_server_parameters": { From 23b886a6c4e559a073f8173ec422f81198ec164f Mon Sep 17 00:00:00 2001 From: Kuntai Du Date: Mon, 19 Aug 2024 16:39:34 -0700 Subject: [PATCH 047/176] add get_chat_template attribute --- benchmarks/benchmark_serving.py | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/benchmarks/benchmark_serving.py b/benchmarks/benchmark_serving.py index fc0dbf77f16b9..8d0456c0b7174 100644 --- a/benchmarks/benchmark_serving.py +++ b/benchmarks/benchmark_serving.py @@ -476,7 +476,8 @@ def main(args: argparse.Namespace): output_len in input_requests] else: assert ( - tokenizer.chat_template or tokenizer.default_chat_template + tokenizer.chat_template or tokenizer.default_chat_template \ + or tokenizer.get_chat_template ), "Tokenizer/model must have chat template for sonnet dataset." input_requests = sample_sonnet_requests( dataset_path=args.dataset_path, From ac7ecc591766aa675795ac9ceb51fce5802b5733 Mon Sep 17 00:00:00 2001 From: Kuntai Du Date: Mon, 19 Aug 2024 16:42:29 -0700 Subject: [PATCH 048/176] check the existence of chat template via apply_chat_template --- benchmarks/benchmark_serving.py | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/benchmarks/benchmark_serving.py b/benchmarks/benchmark_serving.py index 8d0456c0b7174..08480ac540b5d 100644 --- a/benchmarks/benchmark_serving.py +++ b/benchmarks/benchmark_serving.py @@ -476,8 +476,7 @@ def main(args: argparse.Namespace): output_len in input_requests] else: assert ( - tokenizer.chat_template or tokenizer.default_chat_template \ - or tokenizer.get_chat_template + tokenizer.apply_chat_template ), "Tokenizer/model must have chat template for sonnet dataset." input_requests = sample_sonnet_requests( dataset_path=args.dataset_path, From aefae680d5ab860e692577a88d6fa94a2a6bf92b Mon Sep 17 00:00:00 2001 From: Kuntai Du Date: Mon, 19 Aug 2024 16:45:40 -0700 Subject: [PATCH 049/176] fall back to default way -- it is correct, I guess I need to use instruct model --- benchmarks/benchmark_serving.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/benchmarks/benchmark_serving.py b/benchmarks/benchmark_serving.py index 08480ac540b5d..fc0dbf77f16b9 100644 --- a/benchmarks/benchmark_serving.py +++ b/benchmarks/benchmark_serving.py @@ -476,7 +476,7 @@ def main(args: argparse.Namespace): output_len in input_requests] else: assert ( - tokenizer.apply_chat_template + tokenizer.chat_template or tokenizer.default_chat_template ), "Tokenizer/model must have chat template for sonnet dataset." input_requests = sample_sonnet_requests( dataset_path=args.dataset_path, From ac95463d20bb947035c5df1aa02ea8e27e3a30fe Mon Sep 17 00:00:00 2001 From: Kuntai Du Date: Mon, 19 Aug 2024 16:46:07 -0700 Subject: [PATCH 050/176] use instruct model --- .buildkite/nightly-benchmarks/tests/nightly-tests.json | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/.buildkite/nightly-benchmarks/tests/nightly-tests.json b/.buildkite/nightly-benchmarks/tests/nightly-tests.json index 09572640498a8..e20a4201746ab 100644 --- a/.buildkite/nightly-benchmarks/tests/nightly-tests.json +++ b/.buildkite/nightly-benchmarks/tests/nightly-tests.json @@ -3,7 +3,7 @@ "test_name": "llama8B_tp1_sharegpt", "qps_list": ["inf"], "common_parameters": { - "model": "meta-llama/Meta-Llama-3.1-8B", + "model": "meta-llama/Meta-Llama-3.1-8B-Instruct", "tp": 1, "dataset_name": "sharegpt", "dataset_path": "./ShareGPT_V3_unfiltered_cleaned_split.json", @@ -49,7 +49,7 @@ "test_name": "llama8B_tp1_sonnet_2048_128", "qps_list": ["inf"], "common_parameters": { - "model": "meta-llama/Meta-Llama-3.1-8B", + "model": "meta-llama/Meta-Llama-3.1-8B-Instruct", "tp": 1, "dataset_name": "sonnet", "dataset_path": "./sonnet_4x.txt", From 2337b3981174f2819ac2b277cccbd2ab4dc1a8ca Mon Sep 17 00:00:00 2001 From: Kuntai Du Date: Mon, 19 Aug 2024 16:51:24 -0700 Subject: [PATCH 051/176] trt does not work with llama 3.1 in r24.07 --- .buildkite/nightly-benchmarks/tests/nightly-tests.json | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/.buildkite/nightly-benchmarks/tests/nightly-tests.json b/.buildkite/nightly-benchmarks/tests/nightly-tests.json index e20a4201746ab..d18117a0158be 100644 --- a/.buildkite/nightly-benchmarks/tests/nightly-tests.json +++ b/.buildkite/nightly-benchmarks/tests/nightly-tests.json @@ -3,7 +3,7 @@ "test_name": "llama8B_tp1_sharegpt", "qps_list": ["inf"], "common_parameters": { - "model": "meta-llama/Meta-Llama-3.1-8B-Instruct", + "model": "meta-llama/Meta-Llama-3-8B-Instruct", "tp": 1, "dataset_name": "sharegpt", "dataset_path": "./ShareGPT_V3_unfiltered_cleaned_split.json", @@ -49,7 +49,7 @@ "test_name": "llama8B_tp1_sonnet_2048_128", "qps_list": ["inf"], "common_parameters": { - "model": "meta-llama/Meta-Llama-3.1-8B-Instruct", + "model": "meta-llama/Meta-Llama-3-8B-Instruct", "tp": 1, "dataset_name": "sonnet", "dataset_path": "./sonnet_4x.txt", From fb834ff104c0d85dbec8c734aca48e8bf3ba329b Mon Sep 17 00:00:00 2001 From: Kuntai Du Date: Mon, 19 Aug 2024 16:51:34 -0700 Subject: [PATCH 052/176] add full pipeline for testing --- .../nightly-benchmarks/nightly-pipeline.yaml | 66 +++++++++---------- 1 file changed, 33 insertions(+), 33 deletions(-) diff --git a/.buildkite/nightly-benchmarks/nightly-pipeline.yaml b/.buildkite/nightly-benchmarks/nightly-pipeline.yaml index 8e66292db000e..e0c710ac16a03 100644 --- a/.buildkite/nightly-benchmarks/nightly-pipeline.yaml +++ b/.buildkite/nightly-benchmarks/nightly-pipeline.yaml @@ -64,42 +64,42 @@ steps: - image: lmsysorg/sglang:v0.2.12-cu118 <<: *common_container_settings - # - label: "A100 lmdeploy benchmark" - # priority: 100 - # agents: - # queue: A100 - # plugins: - # - kubernetes: - # podSpec: - # <<: *common_pod_spec - # containers: - # - image: openmmlab/lmdeploy:v0.5.0 - # <<: *common_container_settings + - label: "A100 lmdeploy benchmark" + priority: 100 + agents: + queue: A100 + plugins: + - kubernetes: + podSpec: + <<: *common_pod_spec + containers: + - image: openmmlab/lmdeploy:v0.5.0 + <<: *common_container_settings - # - label: "A100 vllm benchmark" - # priority: 100 - # agents: - # queue: A100 - # plugins: - # - kubernetes: - # podSpec: - # <<: *common_pod_spec - # containers: - # - image: vllm/vllm-openai:latest - # <<: *common_container_settings + - label: "A100 vllm benchmark" + priority: 100 + agents: + queue: A100 + plugins: + - kubernetes: + podSpec: + <<: *common_pod_spec + containers: + - image: vllm/vllm-openai:latest + <<: *common_container_settings - # - label: "A100 tgi benchmark" - # priority: 100 - # agents: - # queue: A100 - # plugins: - # - kubernetes: - # podSpec: - # <<: *common_pod_spec - # containers: - # - image: ghcr.io/huggingface/text-generation-inference:2.1 - # <<: *common_container_settings + - label: "A100 tgi benchmark" + priority: 100 + agents: + queue: A100 + plugins: + - kubernetes: + podSpec: + <<: *common_pod_spec + containers: + - image: ghcr.io/huggingface/text-generation-inference:2.1 + <<: *common_container_settings - wait From 2f8db9d6539986f3dbd32ff955e00d09edc1c14a Mon Sep 17 00:00:00 2001 From: Kuntai Du Date: Mon, 19 Aug 2024 17:12:46 -0700 Subject: [PATCH 053/176] add upload_to_buildkite utility --- .../scripts/run-nightly-benchmarks.sh | 14 ++++++++++++++ 1 file changed, 14 insertions(+) diff --git a/.buildkite/nightly-benchmarks/scripts/run-nightly-benchmarks.sh b/.buildkite/nightly-benchmarks/scripts/run-nightly-benchmarks.sh index 7b7c5c712c329..2b7115c705801 100644 --- a/.buildkite/nightly-benchmarks/scripts/run-nightly-benchmarks.sh +++ b/.buildkite/nightly-benchmarks/scripts/run-nightly-benchmarks.sh @@ -29,6 +29,20 @@ check_hf_token() { fi } + +upload_to_buildkite() { + # upload the benchmarking results to buildkite + + # if the agent binary is not found, skip uploading the results, exit 0 + if [ ! -f /workspace/buildkite-agent ]; then + echo "buildkite-agent binary not found. Skip uploading the results." + return 0 + fi + # /workspace/buildkite-agent annotate --style "success" --context "benchmark-results" --append < $RESULTS_FOLDER/${CURRENT_LLM_SERVING_ENGINE}_nightly_results.md + /workspace/buildkite-agent artifact upload "$RESULTS_FOLDER/*" +} + + get_current_llm_serving_engine() { if which lmdeploy >/dev/null; then From 7435538c85a12dac6b7967038dd69ab2907cdc83 Mon Sep 17 00:00:00 2001 From: Kuntai Du Date: Mon, 19 Aug 2024 17:12:59 -0700 Subject: [PATCH 054/176] add long decode workload --- .../tests/nightly-tests.json | 49 +++++++++++++++++++ 1 file changed, 49 insertions(+) diff --git a/.buildkite/nightly-benchmarks/tests/nightly-tests.json b/.buildkite/nightly-benchmarks/tests/nightly-tests.json index d18117a0158be..a72749e109f98 100644 --- a/.buildkite/nightly-benchmarks/tests/nightly-tests.json +++ b/.buildkite/nightly-benchmarks/tests/nightly-tests.json @@ -93,5 +93,54 @@ }, "sglang_client_parameters": { } + }, + { + "test_name": "llama8B_tp1_sonnet_128_2048", + "qps_list": ["inf"], + "common_parameters": { + "model": "meta-llama/Meta-Llama-3-8B-Instruct", + "tp": 1, + "dataset_name": "sonnet", + "dataset_path": "./sonnet_4x.txt", + "num_prompts": 500, + "port": 8000, + "sonnet_input_len": 128, + "sonnet_output_len": 2048, + "sonnet_prefix_len": 50, + "reuse_server": true + }, + "lmdeploy_server_parameters": { + }, + "lmdeploy_client_parameters": { + }, + "tgi_server_parameters": { + }, + "tgi_client_parameters": { + "endpoint": "/generate_stream" + }, + "trt_server_parameters": { + "model_type": "llama", + "model_dtype": "float16", + "max_batch_size": 2048, + "max_input_len": 4096, + "max_seq_len": 6144, + "max_num_tokens": 16384, + "trt_llm_version": "v0.11.0" + }, + "trt_client_parameters": { + "endpoint": "/v2/models/ensemble/generate_stream" + }, + "vllm_server_parameters": { + "disable_log_stats": "", + "disable_log_requests": "" + }, + "vllm_client_parameters": { + }, + "sglang_server_parameters": { + "disable_radix_cache": "", + "enable_torch_compile": "" + }, + "sglang_client_parameters": { + } } ] \ No newline at end of file From 6fd1ac56bfe448934a8ed8a3d938fd5fb89bcbb7 Mon Sep 17 00:00:00 2001 From: Kuntai Du Date: Mon, 19 Aug 2024 22:45:47 -0700 Subject: [PATCH 055/176] update the engine name of trt to tensorrt-llm, to match with benchmark_serving.py --- .../nightly-benchmarks/scripts/run-nightly-benchmarks.sh | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/.buildkite/nightly-benchmarks/scripts/run-nightly-benchmarks.sh b/.buildkite/nightly-benchmarks/scripts/run-nightly-benchmarks.sh index 2b7115c705801..219dcce7b8a21 100644 --- a/.buildkite/nightly-benchmarks/scripts/run-nightly-benchmarks.sh +++ b/.buildkite/nightly-benchmarks/scripts/run-nightly-benchmarks.sh @@ -58,8 +58,8 @@ get_current_llm_serving_engine() { fi if which trtllm-build >/dev/null; then - echo "Container: trt" - export CURRENT_LLM_SERVING_ENGINE=trt + echo "Container: tensorrt-llm" + export CURRENT_LLM_SERVING_ENGINE=tensorrt-llm return fi From 2ff5429b7cccfdc14e0869a69b7c91c5e0339b3e Mon Sep 17 00:00:00 2001 From: Kuntai Du Date: Mon, 19 Aug 2024 23:30:36 -0700 Subject: [PATCH 056/176] bug fix: annotate the engine correctly in the benchmarking result --- .../nightly-benchmarks/scripts/run-nightly-benchmarks.sh | 9 ++++++++- 1 file changed, 8 insertions(+), 1 deletion(-) diff --git a/.buildkite/nightly-benchmarks/scripts/run-nightly-benchmarks.sh b/.buildkite/nightly-benchmarks/scripts/run-nightly-benchmarks.sh index 219dcce7b8a21..1baa69a050d62 100644 --- a/.buildkite/nightly-benchmarks/scripts/run-nightly-benchmarks.sh +++ b/.buildkite/nightly-benchmarks/scripts/run-nightly-benchmarks.sh @@ -273,7 +273,7 @@ run_serving_tests() { --arg server "$server_command" \ --arg client "$client_command" \ --arg gpu "$gpu_type" \ - --arg engine "tgi" \ + --arg engine "$CURRENT_LLM_SERVING_ENGINE" \ '{ server_command: $server, client_command: $client, @@ -312,6 +312,13 @@ main() { check_hf_token get_current_llm_serving_engine + if [[ $CURRENT_LLM_SERVING_ENGINE = "tensorrt-llm" ]]; then + # update transformers version for tensorrt-llm + # Issue: https://github.com/NVIDIA/TensorRT-LLM/issues/2105 + pip install -U transformers + fi + + # check storage df -h From a53fbc75e7baa7523ece3cb19606b32d83db73bb Mon Sep 17 00:00:00 2001 From: Kuntai Du Date: Mon, 19 Aug 2024 23:33:57 -0700 Subject: [PATCH 057/176] update test suite --- .../nightly-benchmarks/tests/nightly-tests.json | 16 ++++++++-------- 1 file changed, 8 insertions(+), 8 deletions(-) diff --git a/.buildkite/nightly-benchmarks/tests/nightly-tests.json b/.buildkite/nightly-benchmarks/tests/nightly-tests.json index a72749e109f98..81f02b75fd8a4 100644 --- a/.buildkite/nightly-benchmarks/tests/nightly-tests.json +++ b/.buildkite/nightly-benchmarks/tests/nightly-tests.json @@ -1,13 +1,13 @@ [ { "test_name": "llama8B_tp1_sharegpt", - "qps_list": ["inf"], + "qps_list": [2,4,8,16,"inf"], "common_parameters": { - "model": "meta-llama/Meta-Llama-3-8B-Instruct", + "model": "meta-llama/Meta-Llama-3.1-8B-Instruct", "tp": 1, "dataset_name": "sharegpt", "dataset_path": "./ShareGPT_V3_unfiltered_cleaned_split.json", - "num_prompts": 500, + "num_prompts": 1000, "port": 8000, "reuse_server": false }, @@ -47,13 +47,13 @@ }, { "test_name": "llama8B_tp1_sonnet_2048_128", - "qps_list": ["inf"], + "qps_list": [2,4,8,16,"inf"], "common_parameters": { - "model": "meta-llama/Meta-Llama-3-8B-Instruct", + "model": "meta-llama/Meta-Llama-3.1-8B-Instruct", "tp": 1, "dataset_name": "sonnet", "dataset_path": "./sonnet_4x.txt", - "num_prompts": 500, + "num_prompts": 1000, "port": 8000, "sonnet_input_len": 2048, "sonnet_output_len": 128, @@ -96,9 +96,9 @@ }, { "test_name": "llama8B_tp1_sonnet_128_2048", - "qps_list": ["inf"], + "qps_list": [2,4,8,16,"inf"], "common_parameters": { - "model": "meta-llama/Meta-Llama-3-8B-Instruct", + "model": "meta-llama/Meta-Llama-3.1-8B-Instruct", "tp": 1, "dataset_name": "sonnet", "dataset_path": "./sonnet_4x.txt", From 02f22f95169eadf6f8d3a5442fe57528c2d46251 Mon Sep 17 00:00:00 2001 From: Kuntai Du Date: Mon, 19 Aug 2024 23:35:30 -0700 Subject: [PATCH 058/176] update plotting script --- .../scripts/plot-nightly-results.py | 127 +++++++++--------- 1 file changed, 61 insertions(+), 66 deletions(-) diff --git a/.buildkite/nightly-benchmarks/scripts/plot-nightly-results.py b/.buildkite/nightly-benchmarks/scripts/plot-nightly-results.py index e5cfcc64a9b2a..c280b43f023bc 100644 --- a/.buildkite/nightly-benchmarks/scripts/plot-nightly-results.py +++ b/.buildkite/nightly-benchmarks/scripts/plot-nightly-results.py @@ -6,6 +6,7 @@ import matplotlib.pyplot as plt import pandas as pd from tabulate import tabulate +import numpy as np def parse_arguments(): @@ -20,13 +21,50 @@ def parse_arguments(): type=str, required=True, help='Description of the results.') + parser.add_argument('--dataset', + type=str, + required=True, + help="The dataset used for the benchmark.") args = parser.parse_args() return args + +def get_perf(df, method, model, metric): + + means = [] + + for qps in [2,4,8,16,"inf"]: + target = df['Test name'].str.contains(model) + target = target & df['Engine'].str.contains(method) + target = target & df['Test name'].str.contains("qps_" + str(qps)) + filtered_df = df[target] + + if filtered_df.empty: + means.append(0.) + else: + means.append(filtered_df[metric].values[0]) + + return np.array(means) + +def get_perf_w_std(df, method, model, metric): + + if metric in ["TTFT", "ITL"]: + mean = get_perf(df, method, model, "Mean " + metric + " (ms)") + std = get_perf(df, method, model, "Std " + metric + " (ms)") + success = get_perf(df, method, model, "Successful req.") + if std is not None: + std = std / np.sqrt(success) + + else: + assert metric == "Tput" + mean = get_perf(df, method, model, "Input Tput (tok/s)") + get_perf(df, method, model, "Output Tput (tok/s)") + std = None + + return mean, std + def main(args): - bar_colors = ['#56B4E9', '#009E73', '#D55E00', '#E69F00'] results_folder = Path(args.results_folder) results = [] @@ -38,6 +76,7 @@ def main(args): # generate markdown table df = pd.DataFrame.from_dict(results) + df = df[df["Test name"].str.contains(args.dataset)] md_table = tabulate(df, headers='keys', tablefmt='pipe', showindex=False) @@ -50,84 +89,40 @@ def main(args): with open("nightly_results.md", "w") as f: f.write(description) - plt.rcParams.update({'font.size': 20}) + plt.rcParams.update({'font.size': 18}) + plt.set_cmap("cividis") # plot results fig, axes = plt.subplots(3, 3, figsize=(16, 14)) fig.subplots_adjust(hspace=1) - methods = ["vllm", "trt", "lmdeploy", "tgi"] + methods = ["vllm", "trtllm", "sglang", "lmdeploy", "tgi"] for i, model in enumerate(["llama8B", "llama70B", "mixtral8x7B"]): - for j, metric in enumerate(["TTFT", "ITL"]): - means, stds = [], [] - for method in methods: - target = df['Test name'].str.contains(model) - target = target & df['Engine'].str.contains(method) - filtered_df = df[target] - - if filtered_df.empty: - means.append(0.) - stds.append(0.) - else: - means.append(filtered_df[f"Mean {metric} (ms)"].values[0]) - std = filtered_df[f"Std {metric} (ms)"].values[0] - success = filtered_df["Successful req."].values[0] - stds.append(std / math.sqrt(success)) - - print(model, metric) - print(means, stds) - - ax = axes[i, j + 1] - - bars = ax.bar( - ["vllm", "trt", "lmdeploy", "tgi"], - means, - yerr=stds, - capsize=10, - ) - for idx, bar in enumerate(bars): - bar.set_color(bar_colors[idx]) + for j, metric in enumerate(["TTFT", "ITL", "Tput"]): + ax = axes[i, j] ax.set_ylim(bottom=0) - - ax.set_ylabel(f"{metric} (ms)") + if metric in ["TTFT", "ITL"]: + ax.set_ylabel(f"{metric} (ms)") + else: + ax.set_ylabel(f"{metric} (tok/s)") + ax.set_xlabel("QPS") ax.set_title(f"{model} {metric}") ax.grid(axis='y') - - metric = "Tput" - j = 0 - if True: - tputs = [] - for method in methods: - target = df['Test name'].str.contains(model) - target = target & df['Engine'].str.contains(method) - filtered_df = df[target] - - if filtered_df.empty: - tputs.append(0.) - else: - input_tput = filtered_df["Input Tput (tok/s)"].values[0] - output_tput = filtered_df["Output Tput (tok/s)"].values[0] - tputs.append(input_tput + output_tput) - + print("New line") print(model, metric) - print(tputs) - - ax = axes[i, j] + for k, method in enumerate(methods): + mean, std = get_perf_w_std(df, method, model, metric) + print(method, mean, std) + ax.errorbar(["2", "4", "8", "16", "inf"], + mean, + yerr=std, + capsize=10, + label=method,) - bars = ax.bar( - ["vllm", "trt", "lmdeploy", "tgi"], - tputs, - ) - for idx, bar in enumerate(bars): - bar.set_color(bar_colors[idx]) + ax.legend() - ax.set_ylim(bottom=0) - - ax.set_ylabel("Tput (token/s)") - ax.set_title(f"{model} {metric}") - ax.grid(axis='y') fig.tight_layout() - fig.savefig("nightly_results.png", bbox_inches='tight', dpi=400) + fig.savefig(f"nightly_results_{args.dataset}.png", bbox_inches='tight', dpi=400) if __name__ == '__main__': From b17e76faf0b850665d7cf7ce558c9dd5fc5c910a Mon Sep 17 00:00:00 2001 From: Kuntai Du Date: Mon, 19 Aug 2024 23:35:54 -0700 Subject: [PATCH 059/176] update how to annotate the results --- .../scripts/nightly-annotate.sh | 15 +++++++++++++-- 1 file changed, 13 insertions(+), 2 deletions(-) diff --git a/.buildkite/nightly-benchmarks/scripts/nightly-annotate.sh b/.buildkite/nightly-benchmarks/scripts/nightly-annotate.sh index 2299c236b5ec3..b0b169756715c 100644 --- a/.buildkite/nightly-benchmarks/scripts/nightly-annotate.sh +++ b/.buildkite/nightly-benchmarks/scripts/nightly-annotate.sh @@ -32,10 +32,21 @@ main() { python3 -m pip install tabulate pandas matplotlib python3 $VLLM_SOURCE_CODE_LOC/.buildkite/nightly-benchmarks/scripts/plot-nightly-results.py \ --description $description \ - --results-folder results/ + --results-folder results/ \ + --dataset sharegpt + + python3 $VLLM_SOURCE_CODE_LOC/.buildkite/nightly-benchmarks/scripts/plot-nightly-results.py \ + --description $description \ + --results-folder results/ \ + --dataset sonnet_2048_128 + + python3 $VLLM_SOURCE_CODE_LOC/.buildkite/nightly-benchmarks/scripts/plot-nightly-results.py \ + --description $description \ + --results-folder results/ \ + --dataset sonnet_128_2048 # upload results and figures - /workspace/buildkite-agent artifact upload "nightly_results.png" + /workspace/buildkite-agent artifact upload "nightly_results*.png" /workspace/buildkite-agent artifact upload $VLLM_SOURCE_CODE_LOC/.buildkite/nightly-benchmarks/nightly-pipeline.yaml /workspace/buildkite-agent artifact upload $VLLM_SOURCE_CODE_LOC/.buildkite/nightly-benchmarks/tests/nightly-tests.json /workspace/buildkite-agent annotate --style "success" --context "nightly-benchmarks-results" --append < nightly_results.md From 594f35b178ce2a59839db6b73171383a2ccd49eb Mon Sep 17 00:00:00 2001 From: Kuntai Du Date: Mon, 19 Aug 2024 23:37:00 -0700 Subject: [PATCH 060/176] update nightly descriptions doc correspondingly --- .buildkite/nightly-benchmarks/nightly-descriptions.md | 6 +++++- 1 file changed, 5 insertions(+), 1 deletion(-) diff --git a/.buildkite/nightly-benchmarks/nightly-descriptions.md b/.buildkite/nightly-benchmarks/nightly-descriptions.md index b904c47d28129..16c720a4e3c10 100644 --- a/.buildkite/nightly-benchmarks/nightly-descriptions.md +++ b/.buildkite/nightly-benchmarks/nightly-descriptions.md @@ -28,7 +28,11 @@ This benchmark aims to: In the following plots, the dot shows the mean and the error bar shows the standard error of the mean. Value 0 means that the corresponding benchmark crashed. -Benchmarking results +Benchmarking results + +Benchmarking results + +Benchmarking results ## Results From b8a3f76f757774d2e7867a315c7baa0f3ff26403 Mon Sep 17 00:00:00 2001 From: Kuntai Du Date: Tue, 20 Aug 2024 14:49:14 -0700 Subject: [PATCH 061/176] update plotting script --- .../scripts/plot-nightly-results.py | 19 +++++++++++++++---- 1 file changed, 15 insertions(+), 4 deletions(-) diff --git a/.buildkite/nightly-benchmarks/scripts/plot-nightly-results.py b/.buildkite/nightly-benchmarks/scripts/plot-nightly-results.py index c280b43f023bc..21154c84efe30 100644 --- a/.buildkite/nightly-benchmarks/scripts/plot-nightly-results.py +++ b/.buildkite/nightly-benchmarks/scripts/plot-nightly-results.py @@ -51,14 +51,19 @@ def get_perf_w_std(df, method, model, metric): if metric in ["TTFT", "ITL"]: mean = get_perf(df, method, model, "Mean " + metric + " (ms)") + mean = mean.tolist() std = get_perf(df, method, model, "Std " + metric + " (ms)") + if std.mean() == 0: + std = None success = get_perf(df, method, model, "Successful req.") if std is not None: std = std / np.sqrt(success) + std = std.tolist() else: assert metric == "Tput" mean = get_perf(df, method, model, "Input Tput (tok/s)") + get_perf(df, method, model, "Output Tput (tok/s)") + mean = mean.tolist() std = None return mean, std @@ -99,24 +104,30 @@ def main(args): for i, model in enumerate(["llama8B", "llama70B", "mixtral8x7B"]): for j, metric in enumerate(["TTFT", "ITL", "Tput"]): ax = axes[i, j] - ax.set_ylim(bottom=0) if metric in ["TTFT", "ITL"]: ax.set_ylabel(f"{metric} (ms)") else: ax.set_ylabel(f"{metric} (tok/s)") ax.set_xlabel("QPS") - ax.set_title(f"{model} {metric}") + ax.set_title(f"{model} {args.dataset} {metric}") ax.grid(axis='y') print("New line") print(model, metric) for k, method in enumerate(methods): mean, std = get_perf_w_std(df, method, model, metric) print(method, mean, std) - ax.errorbar(["2", "4", "8", "16", "inf"], + ax.errorbar(range(len(mean)), mean, yerr=std, capsize=10, - label=method,) + capthick=4, + label=method, + lw=4,) + ax.set_ylim(bottom=0) + if metric == "TTFT": + ax.set_ylim(0, 5000) + ax.set_xticks(range(len(mean))) + ax.set_xticklabels(["2", "4", "8", "16", "inf"]) ax.legend() From a64aeab2109ce7d906e5584485f1b7e1e2cae108 Mon Sep 17 00:00:00 2001 From: Kuntai Du Date: Tue, 20 Aug 2024 14:54:07 -0700 Subject: [PATCH 062/176] rename to tensorrt-llm --- .buildkite/nightly-benchmarks/tests/nightly-tests.json | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/.buildkite/nightly-benchmarks/tests/nightly-tests.json b/.buildkite/nightly-benchmarks/tests/nightly-tests.json index 81f02b75fd8a4..5535d2da2e790 100644 --- a/.buildkite/nightly-benchmarks/tests/nightly-tests.json +++ b/.buildkite/nightly-benchmarks/tests/nightly-tests.json @@ -20,7 +20,7 @@ "tgi_client_parameters": { "endpoint": "/generate_stream" }, - "trt_server_parameters": { + "tensorrt-llm_server_parameters": { "model_type": "llama", "model_dtype": "float16", "max_batch_size": 2048, @@ -29,7 +29,7 @@ "max_num_tokens": 16384, "trt_llm_version": "v0.11.0" }, - "trt_client_parameters": { + "tensorrt-llm_client_parameters": { "endpoint": "/v2/models/ensemble/generate_stream" }, "vllm_server_parameters": { From 12b1ec4f87c9e2855a4b84f45ade298cb3ea9295 Mon Sep 17 00:00:00 2001 From: Kuntai Du Date: Tue, 20 Aug 2024 14:54:38 -0700 Subject: [PATCH 063/176] update transformers library --- .../nightly-benchmarks/scripts/run-nightly-benchmarks.sh | 7 +------ 1 file changed, 1 insertion(+), 6 deletions(-) diff --git a/.buildkite/nightly-benchmarks/scripts/run-nightly-benchmarks.sh b/.buildkite/nightly-benchmarks/scripts/run-nightly-benchmarks.sh index 1baa69a050d62..aeb53bda3c438 100644 --- a/.buildkite/nightly-benchmarks/scripts/run-nightly-benchmarks.sh +++ b/.buildkite/nightly-benchmarks/scripts/run-nightly-benchmarks.sh @@ -312,12 +312,7 @@ main() { check_hf_token get_current_llm_serving_engine - if [[ $CURRENT_LLM_SERVING_ENGINE = "tensorrt-llm" ]]; then - # update transformers version for tensorrt-llm - # Issue: https://github.com/NVIDIA/TensorRT-LLM/issues/2105 - pip install -U transformers - fi - + pip install -U transformers # check storage df -h From 582b5b2b9e691c58881f72b82abcecf9d54176eb Mon Sep 17 00:00:00 2001 From: Kuntai Du Date: Tue, 20 Aug 2024 16:57:15 -0700 Subject: [PATCH 064/176] add support for ignore_eos flag, for benchmarking --- benchmarks/backend_request_func.py | 5 +++++ benchmarks/benchmark_serving.py | 10 ++++++++++ 2 files changed, 15 insertions(+) diff --git a/benchmarks/backend_request_func.py b/benchmarks/backend_request_func.py index b2146a517e4ac..b434408187be5 100644 --- a/benchmarks/backend_request_func.py +++ b/benchmarks/backend_request_func.py @@ -24,6 +24,7 @@ class RequestFuncInput: model: str best_of: int = 1 use_beam_search: bool = False + ignore_eos: bool = False @dataclass @@ -53,6 +54,7 @@ async def async_request_tgi( "do_sample": True, "temperature": 0.01, # TGI does not accept 0.0 temperature. "top_p": 0.99, # TGI does not accept 1.0 top_p. + # TGI does not accept ignore_eos flag. } payload = { "inputs": request_func_input.prompt, @@ -127,6 +129,8 @@ async def async_request_trt_llm( "max_tokens": request_func_input.output_len, "stream": True, } + if request_func_input.ignore_eos: + payload["min_length"] = request_func_input.output_len output = RequestFuncOutput() output.prompt_len = request_func_input.prompt_len @@ -237,6 +241,7 @@ async def async_request_openai_completions( "best_of": request_func_input.best_of, "max_tokens": request_func_input.output_len, "stream": True, + "ignore_eos": request_func_input.ignore_eos, } headers = { "Authorization": f"Bearer {os.environ.get('OPENAI_API_KEY')}" diff --git a/benchmarks/benchmark_serving.py b/benchmarks/benchmark_serving.py index fc0dbf77f16b9..85e19a10528e7 100644 --- a/benchmarks/benchmark_serving.py +++ b/benchmarks/benchmark_serving.py @@ -302,6 +302,7 @@ async def benchmark( use_beam_search: bool, request_rate: float, disable_tqdm: bool, + ignore_eos: bool, ): if backend in ASYNC_REQUEST_FUNCS: request_func = ASYNC_REQUEST_FUNCS[backend] @@ -318,6 +319,7 @@ async def benchmark( output_len=test_output_len, best_of=best_of, use_beam_search=use_beam_search, + ignore_eos=ignore_eos, ) test_output = await request_func(request_func_input=test_input) if not test_output.success: @@ -513,6 +515,7 @@ def main(args: argparse.Namespace): use_beam_search=args.use_beam_search, request_rate=args.request_rate, disable_tqdm=args.disable_tqdm, + ignore_eos=args.ignore_eos, )) # Save config and results to json @@ -722,6 +725,13 @@ def main(args: argparse.Namespace): "{backend}-{args.request_rate}qps-{base_model_id}-{current_dt}.json" " format.", ) + parser.add_argument( + "--ignore-eos", + type=bool, + default=False, + action="store_true", + help="Set ignore_eos flag when sending the benchmark request." + ) args = parser.parse_args() main(args) From 7802c75e82cca4eaeb09c8a7d51bc0d63e401aa6 Mon Sep 17 00:00:00 2001 From: Kuntai Du Date: Tue, 20 Aug 2024 17:02:01 -0700 Subject: [PATCH 065/176] annotate that tgi and deepspeed_mii is not supported ignore_eos --- benchmarks/backend_request_func.py | 1 + benchmarks/benchmark_serving.py | 1 + 2 files changed, 2 insertions(+) diff --git a/benchmarks/backend_request_func.py b/benchmarks/backend_request_func.py index b434408187be5..43dfa4add3cac 100644 --- a/benchmarks/backend_request_func.py +++ b/benchmarks/backend_request_func.py @@ -326,6 +326,7 @@ async def async_request_openai_chat_completions( "temperature": 0.0, "max_tokens": request_func_input.output_len, "stream": True, + "ignore_eos": request_func_input.ignore_eos, } headers = { "Content-Type": "application/json", diff --git a/benchmarks/benchmark_serving.py b/benchmarks/benchmark_serving.py index 85e19a10528e7..741690c1290a4 100644 --- a/benchmarks/benchmark_serving.py +++ b/benchmarks/benchmark_serving.py @@ -731,6 +731,7 @@ def main(args: argparse.Namespace): default=False, action="store_true", help="Set ignore_eos flag when sending the benchmark request." + "Warning: ignore_eos is not supported in deepspeed_mii and tgi." ) args = parser.parse_args() From 8e3e269de8e4204b2d2b5ad76fc3aadb7fb06b68 Mon Sep 17 00:00:00 2001 From: Kuntai Du Date: Tue, 20 Aug 2024 17:04:03 -0700 Subject: [PATCH 066/176] set ignore_eos flag for benchmark --- .buildkite/nightly-benchmarks/scripts/run-nightly-benchmarks.sh | 1 + 1 file changed, 1 insertion(+) diff --git a/.buildkite/nightly-benchmarks/scripts/run-nightly-benchmarks.sh b/.buildkite/nightly-benchmarks/scripts/run-nightly-benchmarks.sh index aeb53bda3c438..537b4c073fef7 100644 --- a/.buildkite/nightly-benchmarks/scripts/run-nightly-benchmarks.sh +++ b/.buildkite/nightly-benchmarks/scripts/run-nightly-benchmarks.sh @@ -227,6 +227,7 @@ run_serving_tests() { --result-dir $RESULTS_FOLDER \ --result-filename ${new_test_name}.json \ --request-rate $qps \ + --ignore-eos \ $client_args" elif [[ "$dataset_name" = "sonnet" ]]; then From 8409687335916d52d5abd6ccd5b1c5d17957f9b8 Mon Sep 17 00:00:00 2001 From: Kuntai Du Date: Tue, 20 Aug 2024 17:09:31 -0700 Subject: [PATCH 067/176] support total_input_tokens and total_output_tokens --- .../nightly-benchmarks/scripts/summary-nightly-results.py | 2 ++ 1 file changed, 2 insertions(+) diff --git a/.buildkite/nightly-benchmarks/scripts/summary-nightly-results.py b/.buildkite/nightly-benchmarks/scripts/summary-nightly-results.py index 782d1ef9aab98..71af9eaa1c271 100644 --- a/.buildkite/nightly-benchmarks/scripts/summary-nightly-results.py +++ b/.buildkite/nightly-benchmarks/scripts/summary-nightly-results.py @@ -21,6 +21,8 @@ "std_itl_ms": "Std ITL (ms)", "input_throughput": "Input Tput (tok/s)", "output_throughput": "Output Tput (tok/s)", + "total_input_tokens": "Total input tokens", + "total_output_tokens": "Total output tokens", "engine": "Engine", } From e138cca2c4b614302dd045bcd533ea9fcbd9e3b9 Mon Sep 17 00:00:00 2001 From: Kuntai Du Date: Tue, 20 Aug 2024 17:13:03 -0700 Subject: [PATCH 068/176] generate markdown file in a separate file --- .../scripts/generate-nightly-markdown.py | 95 +++++++++++++++++++ .../scripts/nightly-annotate.sh | 6 ++ .../scripts/plot-nightly-results.py | 10 -- 3 files changed, 101 insertions(+), 10 deletions(-) create mode 100644 .buildkite/nightly-benchmarks/scripts/generate-nightly-markdown.py diff --git a/.buildkite/nightly-benchmarks/scripts/generate-nightly-markdown.py b/.buildkite/nightly-benchmarks/scripts/generate-nightly-markdown.py new file mode 100644 index 0000000000000..8c3ed2b386488 --- /dev/null +++ b/.buildkite/nightly-benchmarks/scripts/generate-nightly-markdown.py @@ -0,0 +1,95 @@ +import argparse +import json +import math +from pathlib import Path + +import matplotlib.pyplot as plt +import pandas as pd +from tabulate import tabulate +import numpy as np + + +def parse_arguments(): + parser = argparse.ArgumentParser( + description= + 'Parse command line arguments for summary-nightly-results script.') + parser.add_argument('--results-folder', + type=str, + required=True, + help='The folder where the results are stored.') + parser.add_argument('--description', + type=str, + required=True, + help='Description of the results.') + + args = parser.parse_args() + return args + + +def get_perf(df, method, model, metric): + + means = [] + + for qps in [2,4,8,16,"inf"]: + target = df['Test name'].str.contains(model) + target = target & df['Engine'].str.contains(method) + target = target & df['Test name'].str.contains("qps_" + str(qps)) + filtered_df = df[target] + + if filtered_df.empty: + means.append(0.) + else: + means.append(filtered_df[metric].values[0]) + + return np.array(means) + +def get_perf_w_std(df, method, model, metric): + + if metric in ["TTFT", "ITL"]: + mean = get_perf(df, method, model, "Mean " + metric + " (ms)") + mean = mean.tolist() + std = get_perf(df, method, model, "Std " + metric + " (ms)") + if std.mean() == 0: + std = None + success = get_perf(df, method, model, "Successful req.") + if std is not None: + std = std / np.sqrt(success) + std = std.tolist() + + else: + assert metric == "Tput" + mean = get_perf(df, method, model, "Input Tput (tok/s)") + get_perf(df, method, model, "Output Tput (tok/s)") + mean = mean.tolist() + std = None + + return mean, std + + +def main(args): + results_folder = Path(args.results_folder) + + results = [] + + # collect results + for test_file in results_folder.glob("*_nightly_results.json"): + with open(test_file, "r") as f: + results = results + json.loads(f.read()) + + # generate markdown table + df = pd.DataFrame.from_dict(results) + df = df[df["Test name"].str.contains(args.dataset)] + + md_table = tabulate(df, headers='keys', tablefmt='pipe', showindex=False) + + with open(args.description, "r") as f: + description = f.read() + + description = description.format( + nightly_results_benchmarking_table=md_table) + + with open("nightly_results.md", "w") as f: + f.write(description) + +if __name__ == '__main__': + args = parse_arguments() + main(args) diff --git a/.buildkite/nightly-benchmarks/scripts/nightly-annotate.sh b/.buildkite/nightly-benchmarks/scripts/nightly-annotate.sh index b0b169756715c..8facf59ccb67e 100644 --- a/.buildkite/nightly-benchmarks/scripts/nightly-annotate.sh +++ b/.buildkite/nightly-benchmarks/scripts/nightly-annotate.sh @@ -30,6 +30,12 @@ main() { # generate figures python3 -m pip install tabulate pandas matplotlib + + python3 $VLLM_SOURCE_CODE_LOC/.buildkite/nightly-benchmarks/scripts/generate-nightly-markdown.py \ + --description $description \ + --results-folder results/ + + python3 $VLLM_SOURCE_CODE_LOC/.buildkite/nightly-benchmarks/scripts/plot-nightly-results.py \ --description $description \ --results-folder results/ \ diff --git a/.buildkite/nightly-benchmarks/scripts/plot-nightly-results.py b/.buildkite/nightly-benchmarks/scripts/plot-nightly-results.py index 21154c84efe30..5e8fdc6c739fb 100644 --- a/.buildkite/nightly-benchmarks/scripts/plot-nightly-results.py +++ b/.buildkite/nightly-benchmarks/scripts/plot-nightly-results.py @@ -83,16 +83,6 @@ def main(args): df = pd.DataFrame.from_dict(results) df = df[df["Test name"].str.contains(args.dataset)] - md_table = tabulate(df, headers='keys', tablefmt='pipe', showindex=False) - - with open(args.description, "r") as f: - description = f.read() - - description = description.format( - nightly_results_benchmarking_table=md_table) - - with open("nightly_results.md", "w") as f: - f.write(description) plt.rcParams.update({'font.size': 18}) plt.set_cmap("cividis") From 3951a96935820ea1df5dcd6380d87aa1c25b21f2 Mon Sep 17 00:00:00 2001 From: Kuntai Du Date: Tue, 20 Aug 2024 17:28:12 -0700 Subject: [PATCH 069/176] need to fallback to llama 3.0 --- .buildkite/nightly-benchmarks/scripts/run-nightly-benchmarks.sh | 2 -- 1 file changed, 2 deletions(-) diff --git a/.buildkite/nightly-benchmarks/scripts/run-nightly-benchmarks.sh b/.buildkite/nightly-benchmarks/scripts/run-nightly-benchmarks.sh index 537b4c073fef7..0d5a3983243f6 100644 --- a/.buildkite/nightly-benchmarks/scripts/run-nightly-benchmarks.sh +++ b/.buildkite/nightly-benchmarks/scripts/run-nightly-benchmarks.sh @@ -313,8 +313,6 @@ main() { check_hf_token get_current_llm_serving_engine - pip install -U transformers - # check storage df -h From c23ccc64db61bf237b3802ae2cc35b485b32a455 Mon Sep 17 00:00:00 2001 From: Kuntai Du Date: Tue, 20 Aug 2024 17:28:42 -0700 Subject: [PATCH 070/176] no i need to update docker version instead --- .buildkite/nightly-benchmarks/scripts/run-nightly-benchmarks.sh | 2 ++ 1 file changed, 2 insertions(+) diff --git a/.buildkite/nightly-benchmarks/scripts/run-nightly-benchmarks.sh b/.buildkite/nightly-benchmarks/scripts/run-nightly-benchmarks.sh index 0d5a3983243f6..537b4c073fef7 100644 --- a/.buildkite/nightly-benchmarks/scripts/run-nightly-benchmarks.sh +++ b/.buildkite/nightly-benchmarks/scripts/run-nightly-benchmarks.sh @@ -313,6 +313,8 @@ main() { check_hf_token get_current_llm_serving_engine + pip install -U transformers + # check storage df -h From 058e1aab883d686a645f243f8a2b67d8e20a7447 Mon Sep 17 00:00:00 2001 From: Kuntai Du Date: Tue, 20 Aug 2024 17:30:48 -0700 Subject: [PATCH 071/176] bug fix: no need to specify type when store_true --- benchmarks/benchmark_serving.py | 2 -- 1 file changed, 2 deletions(-) diff --git a/benchmarks/benchmark_serving.py b/benchmarks/benchmark_serving.py index 741690c1290a4..fc857ccf87dd6 100644 --- a/benchmarks/benchmark_serving.py +++ b/benchmarks/benchmark_serving.py @@ -727,8 +727,6 @@ def main(args: argparse.Namespace): ) parser.add_argument( "--ignore-eos", - type=bool, - default=False, action="store_true", help="Set ignore_eos flag when sending the benchmark request." "Warning: ignore_eos is not supported in deepspeed_mii and tgi." From e320941345cd50606875e2f5ea8e78e14b5c567a Mon Sep 17 00:00:00 2001 From: Kuntai Du Date: Tue, 20 Aug 2024 17:33:26 -0700 Subject: [PATCH 072/176] update docker container --- .buildkite/nightly-benchmarks/nightly-pipeline.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/.buildkite/nightly-benchmarks/nightly-pipeline.yaml b/.buildkite/nightly-benchmarks/nightly-pipeline.yaml index e0c710ac16a03..eddf5e53de6c3 100644 --- a/.buildkite/nightly-benchmarks/nightly-pipeline.yaml +++ b/.buildkite/nightly-benchmarks/nightly-pipeline.yaml @@ -73,7 +73,7 @@ steps: podSpec: <<: *common_pod_spec containers: - - image: openmmlab/lmdeploy:v0.5.0 + - image: openmmlab/lmdeploy:v0.5.3 <<: *common_container_settings @@ -98,7 +98,7 @@ steps: podSpec: <<: *common_pod_spec containers: - - image: ghcr.io/huggingface/text-generation-inference:2.1 + - image: ghcr.io/huggingface/text-generation-inference:2.2.0 <<: *common_container_settings - wait From 1b4946cdb80c28a09d9a6d253a899d4c2a350551 Mon Sep 17 00:00:00 2001 From: Kuntai Du Date: Tue, 20 Aug 2024 21:26:57 -0700 Subject: [PATCH 073/176] adjust the nameing of tensorrt --- .../nightly-benchmarks/scripts/run-nightly-benchmarks.sh | 8 +++++++- .buildkite/nightly-benchmarks/tests/nightly-tests.json | 4 ++-- 2 files changed, 9 insertions(+), 3 deletions(-) diff --git a/.buildkite/nightly-benchmarks/scripts/run-nightly-benchmarks.sh b/.buildkite/nightly-benchmarks/scripts/run-nightly-benchmarks.sh index 537b4c073fef7..58fcabed7194b 100644 --- a/.buildkite/nightly-benchmarks/scripts/run-nightly-benchmarks.sh +++ b/.buildkite/nightly-benchmarks/scripts/run-nightly-benchmarks.sh @@ -59,7 +59,7 @@ get_current_llm_serving_engine() { if which trtllm-build >/dev/null; then echo "Container: tensorrt-llm" - export CURRENT_LLM_SERVING_ENGINE=tensorrt-llm + export CURRENT_LLM_SERVING_ENGINE=trt return fi @@ -213,6 +213,12 @@ run_serving_tests() { new_test_name=$test_name"_qps_"$qps + backend=$CURRENT_LLM_SERVING_ENGINE + + if [[ $backend = "trt" ]]; then + backend="tensorrt-llm" + fi + if [[ "$dataset_name" = "sharegpt" ]]; then client_command="python3 benchmark_serving.py \ diff --git a/.buildkite/nightly-benchmarks/tests/nightly-tests.json b/.buildkite/nightly-benchmarks/tests/nightly-tests.json index 5535d2da2e790..81f02b75fd8a4 100644 --- a/.buildkite/nightly-benchmarks/tests/nightly-tests.json +++ b/.buildkite/nightly-benchmarks/tests/nightly-tests.json @@ -20,7 +20,7 @@ "tgi_client_parameters": { "endpoint": "/generate_stream" }, - "tensorrt-llm_server_parameters": { + "trt_server_parameters": { "model_type": "llama", "model_dtype": "float16", "max_batch_size": 2048, @@ -29,7 +29,7 @@ "max_num_tokens": 16384, "trt_llm_version": "v0.11.0" }, - "tensorrt-llm_client_parameters": { + "trt_client_parameters": { "endpoint": "/v2/models/ensemble/generate_stream" }, "vllm_server_parameters": { From 40ffa0a34203c8f47fa47dbb574c66e0b693f062 Mon Sep 17 00:00:00 2001 From: Kuntai Du Date: Tue, 20 Aug 2024 21:29:34 -0700 Subject: [PATCH 074/176] set QPS --- .buildkite/nightly-benchmarks/tests/nightly-tests.json | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/.buildkite/nightly-benchmarks/tests/nightly-tests.json b/.buildkite/nightly-benchmarks/tests/nightly-tests.json index 81f02b75fd8a4..23b1432333206 100644 --- a/.buildkite/nightly-benchmarks/tests/nightly-tests.json +++ b/.buildkite/nightly-benchmarks/tests/nightly-tests.json @@ -7,7 +7,7 @@ "tp": 1, "dataset_name": "sharegpt", "dataset_path": "./ShareGPT_V3_unfiltered_cleaned_split.json", - "num_prompts": 1000, + "num_prompts": 500, "port": 8000, "reuse_server": false }, @@ -53,7 +53,7 @@ "tp": 1, "dataset_name": "sonnet", "dataset_path": "./sonnet_4x.txt", - "num_prompts": 1000, + "num_prompts": 500, "port": 8000, "sonnet_input_len": 2048, "sonnet_output_len": 128, From 9efae6c58f4a4b361cb0922cb3d75b70bd4ae52a Mon Sep 17 00:00:00 2001 From: Kuntai Du Date: Tue, 20 Aug 2024 21:30:51 -0700 Subject: [PATCH 075/176] remove tgi: there is no way to constraint its output length --- .../nightly-benchmarks/nightly-pipeline.yaml | 22 +++++++++---------- 1 file changed, 11 insertions(+), 11 deletions(-) diff --git a/.buildkite/nightly-benchmarks/nightly-pipeline.yaml b/.buildkite/nightly-benchmarks/nightly-pipeline.yaml index eddf5e53de6c3..2d54a44c4eedf 100644 --- a/.buildkite/nightly-benchmarks/nightly-pipeline.yaml +++ b/.buildkite/nightly-benchmarks/nightly-pipeline.yaml @@ -89,17 +89,17 @@ steps: - image: vllm/vllm-openai:latest <<: *common_container_settings - - label: "A100 tgi benchmark" - priority: 100 - agents: - queue: A100 - plugins: - - kubernetes: - podSpec: - <<: *common_pod_spec - containers: - - image: ghcr.io/huggingface/text-generation-inference:2.2.0 - <<: *common_container_settings + # - label: "A100 tgi benchmark" + # priority: 100 + # agents: + # queue: A100 + # plugins: + # - kubernetes: + # podSpec: + # <<: *common_pod_spec + # containers: + # - image: ghcr.io/huggingface/text-generation-inference:2.2.0 + # <<: *common_container_settings - wait From d2072af6fe528cc5ea7232d7827759f385752549 Mon Sep 17 00:00:00 2001 From: Kuntai Du Date: Tue, 20 Aug 2024 21:41:34 -0700 Subject: [PATCH 076/176] adjust the name in benchmarking script --- .buildkite/nightly-benchmarks/scripts/plot-nightly-results.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.buildkite/nightly-benchmarks/scripts/plot-nightly-results.py b/.buildkite/nightly-benchmarks/scripts/plot-nightly-results.py index 5e8fdc6c739fb..1d729feeb47b1 100644 --- a/.buildkite/nightly-benchmarks/scripts/plot-nightly-results.py +++ b/.buildkite/nightly-benchmarks/scripts/plot-nightly-results.py @@ -90,7 +90,7 @@ def main(args): # plot results fig, axes = plt.subplots(3, 3, figsize=(16, 14)) fig.subplots_adjust(hspace=1) - methods = ["vllm", "trtllm", "sglang", "lmdeploy", "tgi"] + methods = ["vllm", "trt", "sglang", "lmdeploy"] for i, model in enumerate(["llama8B", "llama70B", "mixtral8x7B"]): for j, metric in enumerate(["TTFT", "ITL", "Tput"]): ax = axes[i, j] From a1596ed533f97218d39a3110b3f2ce6a7dc66fc5 Mon Sep 17 00:00:00 2001 From: Kuntai Du Date: Wed, 21 Aug 2024 09:35:09 -0700 Subject: [PATCH 077/176] switch to 8B, change lmdeploy version name --- .../nightly-benchmarks/nightly-pipeline.yaml | 46 +++++++++---------- .../tests/nightly-tests.json | 6 +-- 2 files changed, 26 insertions(+), 26 deletions(-) diff --git a/.buildkite/nightly-benchmarks/nightly-pipeline.yaml b/.buildkite/nightly-benchmarks/nightly-pipeline.yaml index 2d54a44c4eedf..5432b32cc184a 100644 --- a/.buildkite/nightly-benchmarks/nightly-pipeline.yaml +++ b/.buildkite/nightly-benchmarks/nightly-pipeline.yaml @@ -52,17 +52,17 @@ steps: <<: *common_container_settings - - label: "A100 sglang benchmark" - priority: 100 - agents: - queue: A100 - plugins: - - kubernetes: - podSpec: - <<: *common_pod_spec - containers: - - image: lmsysorg/sglang:v0.2.12-cu118 - <<: *common_container_settings + # - label: "A100 sglang benchmark" + # priority: 100 + # agents: + # queue: A100 + # plugins: + # - kubernetes: + # podSpec: + # <<: *common_pod_spec + # containers: + # - image: lmsysorg/sglang:v0.2.12-cu118 + # <<: *common_container_settings - label: "A100 lmdeploy benchmark" priority: 100 @@ -73,21 +73,21 @@ steps: podSpec: <<: *common_pod_spec containers: - - image: openmmlab/lmdeploy:v0.5.3 + - image: openmmlab/lmdeploy:v0.5.3-cu11 <<: *common_container_settings - - label: "A100 vllm benchmark" - priority: 100 - agents: - queue: A100 - plugins: - - kubernetes: - podSpec: - <<: *common_pod_spec - containers: - - image: vllm/vllm-openai:latest - <<: *common_container_settings + # - label: "A100 vllm benchmark" + # priority: 100 + # agents: + # queue: A100 + # plugins: + # - kubernetes: + # podSpec: + # <<: *common_pod_spec + # containers: + # - image: vllm/vllm-openai:latest + # <<: *common_container_settings # - label: "A100 tgi benchmark" # priority: 100 diff --git a/.buildkite/nightly-benchmarks/tests/nightly-tests.json b/.buildkite/nightly-benchmarks/tests/nightly-tests.json index 23b1432333206..cbcd6d4be871f 100644 --- a/.buildkite/nightly-benchmarks/tests/nightly-tests.json +++ b/.buildkite/nightly-benchmarks/tests/nightly-tests.json @@ -3,7 +3,7 @@ "test_name": "llama8B_tp1_sharegpt", "qps_list": [2,4,8,16,"inf"], "common_parameters": { - "model": "meta-llama/Meta-Llama-3.1-8B-Instruct", + "model": "meta-llama/Meta-Llama-3-8B-Instruct", "tp": 1, "dataset_name": "sharegpt", "dataset_path": "./ShareGPT_V3_unfiltered_cleaned_split.json", @@ -49,7 +49,7 @@ "test_name": "llama8B_tp1_sonnet_2048_128", "qps_list": [2,4,8,16,"inf"], "common_parameters": { - "model": "meta-llama/Meta-Llama-3.1-8B-Instruct", + "model": "meta-llama/Meta-Llama-3-8B-Instruct", "tp": 1, "dataset_name": "sonnet", "dataset_path": "./sonnet_4x.txt", @@ -98,7 +98,7 @@ "test_name": "llama8B_tp1_sonnet_128_2048", "qps_list": [2,4,8,16,"inf"], "common_parameters": { - "model": "meta-llama/Meta-Llama-3.1-8B-Instruct", + "model": "meta-llama/Meta-Llama-3-8B-Instruct", "tp": 1, "dataset_name": "sonnet", "dataset_path": "./sonnet_4x.txt", From 4c7d73cd9d3b0d076024242bbfb4b3c4cbe11132 Mon Sep 17 00:00:00 2001 From: Kuntai Du Date: Wed, 21 Aug 2024 10:22:41 -0700 Subject: [PATCH 078/176] update to latest aws docker -- for multi-step scheduling --- .../nightly-benchmarks/nightly-pipeline.yaml | 40 +++++++++---------- .../tests/nightly-tests.json | 9 +++-- 2 files changed, 26 insertions(+), 23 deletions(-) diff --git a/.buildkite/nightly-benchmarks/nightly-pipeline.yaml b/.buildkite/nightly-benchmarks/nightly-pipeline.yaml index 5432b32cc184a..3af52d7f3cc06 100644 --- a/.buildkite/nightly-benchmarks/nightly-pipeline.yaml +++ b/.buildkite/nightly-benchmarks/nightly-pipeline.yaml @@ -39,20 +39,7 @@ steps: - block: ":rocket: Ready for comparing vllm against alternatives? This will take 4 hours." - - label: "A100 trt benchmark" - priority: 100 - agents: - queue: A100 - plugins: - - kubernetes: - podSpec: - <<: *common_pod_spec - containers: - - image: nvcr.io/nvidia/tritonserver:24.07-trtllm-python-py3 - <<: *common_container_settings - - - # - label: "A100 sglang benchmark" + # - label: "A100 trt benchmark" # priority: 100 # agents: # queue: A100 @@ -61,10 +48,11 @@ steps: # podSpec: # <<: *common_pod_spec # containers: - # - image: lmsysorg/sglang:v0.2.12-cu118 + # - image: nvcr.io/nvidia/tritonserver:24.07-trtllm-python-py3 # <<: *common_container_settings - - label: "A100 lmdeploy benchmark" + + - label: "A100 sglang benchmark" priority: 100 agents: queue: A100 @@ -73,11 +61,10 @@ steps: podSpec: <<: *common_pod_spec containers: - - image: openmmlab/lmdeploy:v0.5.3-cu11 + - image: lmsysorg/sglang:v0.2.12-cu118 <<: *common_container_settings - - # - label: "A100 vllm benchmark" + # - label: "A100 lmdeploy benchmark" # priority: 100 # agents: # queue: A100 @@ -86,8 +73,21 @@ steps: # podSpec: # <<: *common_pod_spec # containers: - # - image: vllm/vllm-openai:latest + # - image: openmmlab/lmdeploy:v0.5.3-cu11 # <<: *common_container_settings + + + - label: "A100 vllm benchmark" + priority: 100 + agents: + queue: A100 + plugins: + - kubernetes: + podSpec: + <<: *common_pod_spec + containers: + - image: public.ecr.aws/q9t5s3a7/vllm-ci-test-repo:9b73a2f498e8bf8e18305a8afea84536e9330088 + <<: *common_container_settings # - label: "A100 tgi benchmark" # priority: 100 diff --git a/.buildkite/nightly-benchmarks/tests/nightly-tests.json b/.buildkite/nightly-benchmarks/tests/nightly-tests.json index cbcd6d4be871f..75cc4fd398d01 100644 --- a/.buildkite/nightly-benchmarks/tests/nightly-tests.json +++ b/.buildkite/nightly-benchmarks/tests/nightly-tests.json @@ -34,7 +34,8 @@ }, "vllm_server_parameters": { "disable_log_stats": "", - "disable_log_requests": "" + "disable_log_requests": "", + "num_scheduler_steps": "10" }, "vllm_client_parameters": { }, @@ -83,7 +84,8 @@ }, "vllm_server_parameters": { "disable_log_stats": "", - "disable_log_requests": "" + "disable_log_requests": "", + "num_scheduler_steps": "10" }, "vllm_client_parameters": { }, @@ -132,7 +134,8 @@ }, "vllm_server_parameters": { "disable_log_stats": "", - "disable_log_requests": "" + "disable_log_requests": "", + "num_scheduler_steps": "10" }, "vllm_client_parameters": { }, From f089fae42985caf1393c62b7644474f112c87480 Mon Sep 17 00:00:00 2001 From: Kuntai Du Date: Wed, 21 Aug 2024 10:30:24 -0700 Subject: [PATCH 079/176] comment out sglang --- .../nightly-benchmarks/nightly-pipeline.yaml | 22 +++++++++---------- 1 file changed, 11 insertions(+), 11 deletions(-) diff --git a/.buildkite/nightly-benchmarks/nightly-pipeline.yaml b/.buildkite/nightly-benchmarks/nightly-pipeline.yaml index 3af52d7f3cc06..8c41600278204 100644 --- a/.buildkite/nightly-benchmarks/nightly-pipeline.yaml +++ b/.buildkite/nightly-benchmarks/nightly-pipeline.yaml @@ -52,17 +52,17 @@ steps: # <<: *common_container_settings - - label: "A100 sglang benchmark" - priority: 100 - agents: - queue: A100 - plugins: - - kubernetes: - podSpec: - <<: *common_pod_spec - containers: - - image: lmsysorg/sglang:v0.2.12-cu118 - <<: *common_container_settings + # - label: "A100 sglang benchmark" + # priority: 100 + # agents: + # queue: A100 + # plugins: + # - kubernetes: + # podSpec: + # <<: *common_pod_spec + # containers: + # - image: lmsysorg/sglang:v0.2.12-cu118 + # <<: *common_container_settings # - label: "A100 lmdeploy benchmark" # priority: 100 From 35c2025b40fc7f02da77171b464dc1b02f2d6bb7 Mon Sep 17 00:00:00 2001 From: Kuntai Du Date: Wed, 21 Aug 2024 10:40:37 -0700 Subject: [PATCH 080/176] move to Llama 3.1 for local testing --- .buildkite/nightly-benchmarks/tests/nightly-tests.json | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/.buildkite/nightly-benchmarks/tests/nightly-tests.json b/.buildkite/nightly-benchmarks/tests/nightly-tests.json index 75cc4fd398d01..1206065c56b0f 100644 --- a/.buildkite/nightly-benchmarks/tests/nightly-tests.json +++ b/.buildkite/nightly-benchmarks/tests/nightly-tests.json @@ -3,7 +3,7 @@ "test_name": "llama8B_tp1_sharegpt", "qps_list": [2,4,8,16,"inf"], "common_parameters": { - "model": "meta-llama/Meta-Llama-3-8B-Instruct", + "model": "meta-llama/Meta-Llama-3.1-8B-Instruct", "tp": 1, "dataset_name": "sharegpt", "dataset_path": "./ShareGPT_V3_unfiltered_cleaned_split.json", @@ -50,7 +50,7 @@ "test_name": "llama8B_tp1_sonnet_2048_128", "qps_list": [2,4,8,16,"inf"], "common_parameters": { - "model": "meta-llama/Meta-Llama-3-8B-Instruct", + "model": "meta-llama/Meta-Llama-3.1-8B-Instruct", "tp": 1, "dataset_name": "sonnet", "dataset_path": "./sonnet_4x.txt", @@ -100,7 +100,7 @@ "test_name": "llama8B_tp1_sonnet_128_2048", "qps_list": [2,4,8,16,"inf"], "common_parameters": { - "model": "meta-llama/Meta-Llama-3-8B-Instruct", + "model": "meta-llama/Meta-Llama-3.1-8B-Instruct", "tp": 1, "dataset_name": "sonnet", "dataset_path": "./sonnet_4x.txt", From 8f411eca1635ce88ef94cdb9c882328a5866bb54 Mon Sep 17 00:00:00 2001 From: Kuntai Du Date: Wed, 21 Aug 2024 10:49:57 -0700 Subject: [PATCH 081/176] make sure server args exist --- .buildkite/nightly-benchmarks/scripts/launch-server.sh | 2 ++ 1 file changed, 2 insertions(+) diff --git a/.buildkite/nightly-benchmarks/scripts/launch-server.sh b/.buildkite/nightly-benchmarks/scripts/launch-server.sh index a3dd27c102c5d..aea62dd28ee08 100644 --- a/.buildkite/nightly-benchmarks/scripts/launch-server.sh +++ b/.buildkite/nightly-benchmarks/scripts/launch-server.sh @@ -153,6 +153,7 @@ launch_sglang_server() { dataset_path=$(echo "$common_params" | jq -r '.dataset_path') port=$(echo "$common_params" | jq -r '.port') num_prompts=$(echo "$common_params" | jq -r '.num_prompts') + server_args=$(json2args "$server_params") if echo "$common_params" | jq -e 'has("fp8")' >/dev/null; then echo "Key 'fp8' exists in common params. Use neuralmagic fp8 model for convenience." @@ -186,6 +187,7 @@ launch_vllm_server() { dataset_path=$(echo "$common_params" | jq -r '.dataset_path') port=$(echo "$common_params" | jq -r '.port') num_prompts=$(echo "$common_params" | jq -r '.num_prompts') + server_args=$(json2args "$server_params") if echo "$common_params" | jq -e 'has("fp8")' >/dev/null; then echo "Key 'fp8' exists in common params. Use neuralmagic fp8 model for convenience." From 33879197629862c1d1bb4e504480501af318b563 Mon Sep 17 00:00:00 2001 From: Kuntai Du Date: Wed, 21 Aug 2024 10:53:38 -0700 Subject: [PATCH 082/176] raise max_model_len --- .buildkite/nightly-benchmarks/tests/nightly-tests.json | 9 ++++++--- 1 file changed, 6 insertions(+), 3 deletions(-) diff --git a/.buildkite/nightly-benchmarks/tests/nightly-tests.json b/.buildkite/nightly-benchmarks/tests/nightly-tests.json index 1206065c56b0f..75c5ea0201dab 100644 --- a/.buildkite/nightly-benchmarks/tests/nightly-tests.json +++ b/.buildkite/nightly-benchmarks/tests/nightly-tests.json @@ -35,7 +35,8 @@ "vllm_server_parameters": { "disable_log_stats": "", "disable_log_requests": "", - "num_scheduler_steps": "10" + "num_scheduler_steps": "10", + "max_model_len": "20000" }, "vllm_client_parameters": { }, @@ -85,7 +86,8 @@ "vllm_server_parameters": { "disable_log_stats": "", "disable_log_requests": "", - "num_scheduler_steps": "10" + "num_scheduler_steps": "10", + "max_model_len": "20000" }, "vllm_client_parameters": { }, @@ -135,7 +137,8 @@ "vllm_server_parameters": { "disable_log_stats": "", "disable_log_requests": "", - "num_scheduler_steps": "10" + "num_scheduler_steps": "10", + "max_model_len": "20000" }, "vllm_client_parameters": { }, From 870054369fe70e4d33c5568461fc95532224cdd0 Mon Sep 17 00:00:00 2001 From: Kuntai Du Date: Wed, 21 Aug 2024 10:58:50 -0700 Subject: [PATCH 083/176] export VLLM host ip --- .buildkite/nightly-benchmarks/scripts/launch-server.sh | 2 ++ 1 file changed, 2 insertions(+) diff --git a/.buildkite/nightly-benchmarks/scripts/launch-server.sh b/.buildkite/nightly-benchmarks/scripts/launch-server.sh index aea62dd28ee08..9ce5b1c1e46d7 100644 --- a/.buildkite/nightly-benchmarks/scripts/launch-server.sh +++ b/.buildkite/nightly-benchmarks/scripts/launch-server.sh @@ -181,6 +181,8 @@ launch_sglang_server() { launch_vllm_server() { + export VLLM_HOST_IP=$(hostname -I | awk '{print $1}') + model=$(echo "$common_params" | jq -r '.model') tp=$(echo "$common_params" | jq -r '.tp') dataset_name=$(echo "$common_params" | jq -r '.dataset_name') From 0b531f0caceff734f880c797942553879d313527 Mon Sep 17 00:00:00 2001 From: Kuntai Du Date: Wed, 21 Aug 2024 11:01:25 -0700 Subject: [PATCH 084/176] enable sglang --- .../nightly-benchmarks/nightly-pipeline.yaml | 22 +++++++++---------- 1 file changed, 11 insertions(+), 11 deletions(-) diff --git a/.buildkite/nightly-benchmarks/nightly-pipeline.yaml b/.buildkite/nightly-benchmarks/nightly-pipeline.yaml index 8c41600278204..3af52d7f3cc06 100644 --- a/.buildkite/nightly-benchmarks/nightly-pipeline.yaml +++ b/.buildkite/nightly-benchmarks/nightly-pipeline.yaml @@ -52,17 +52,17 @@ steps: # <<: *common_container_settings - # - label: "A100 sglang benchmark" - # priority: 100 - # agents: - # queue: A100 - # plugins: - # - kubernetes: - # podSpec: - # <<: *common_pod_spec - # containers: - # - image: lmsysorg/sglang:v0.2.12-cu118 - # <<: *common_container_settings + - label: "A100 sglang benchmark" + priority: 100 + agents: + queue: A100 + plugins: + - kubernetes: + podSpec: + <<: *common_pod_spec + containers: + - image: lmsysorg/sglang:v0.2.12-cu118 + <<: *common_container_settings # - label: "A100 lmdeploy benchmark" # priority: 100 From 9a6a18af5f74f89f8e87c2a55eb6699197154366 Mon Sep 17 00:00:00 2001 From: Kuntai Du Date: Wed, 21 Aug 2024 12:10:31 -0700 Subject: [PATCH 085/176] disable torch compile --- it raises bug for 8b instruct model --- .buildkite/nightly-benchmarks/tests/nightly-tests.json | 3 --- 1 file changed, 3 deletions(-) diff --git a/.buildkite/nightly-benchmarks/tests/nightly-tests.json b/.buildkite/nightly-benchmarks/tests/nightly-tests.json index 75c5ea0201dab..722eaa2540783 100644 --- a/.buildkite/nightly-benchmarks/tests/nightly-tests.json +++ b/.buildkite/nightly-benchmarks/tests/nightly-tests.json @@ -42,7 +42,6 @@ }, "sglang_server_parameters": { "disable_radix_cache": "", - "enable_torch_compile": "" }, "sglang_client_parameters": { } @@ -93,7 +92,6 @@ }, "sglang_server_parameters": { "disable_radix_cache": "", - "enable_torch_compile": "" }, "sglang_client_parameters": { } @@ -144,7 +142,6 @@ }, "sglang_server_parameters": { "disable_radix_cache": "", - "enable_torch_compile": "" }, "sglang_client_parameters": { } From 26ad2831d61862388f15f79473370b0425d5d7bf Mon Sep 17 00:00:00 2001 From: Kuntai Du Date: Wed, 21 Aug 2024 12:22:12 -0700 Subject: [PATCH 086/176] fix json syntax bug --- .buildkite/nightly-benchmarks/tests/nightly-tests.json | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/.buildkite/nightly-benchmarks/tests/nightly-tests.json b/.buildkite/nightly-benchmarks/tests/nightly-tests.json index 722eaa2540783..d722b43c447f3 100644 --- a/.buildkite/nightly-benchmarks/tests/nightly-tests.json +++ b/.buildkite/nightly-benchmarks/tests/nightly-tests.json @@ -41,7 +41,7 @@ "vllm_client_parameters": { }, "sglang_server_parameters": { - "disable_radix_cache": "", + "disable_radix_cache": "" }, "sglang_client_parameters": { } @@ -91,7 +91,7 @@ "vllm_client_parameters": { }, "sglang_server_parameters": { - "disable_radix_cache": "", + "disable_radix_cache": "" }, "sglang_client_parameters": { } @@ -141,7 +141,7 @@ "vllm_client_parameters": { }, "sglang_server_parameters": { - "disable_radix_cache": "", + "disable_radix_cache": "" }, "sglang_client_parameters": { } From 16ce24a531636ab38f551fa75e71b3e66f6e3a29 Mon Sep 17 00:00:00 2001 From: Kuntai Du Date: Wed, 21 Aug 2024 14:52:02 -0700 Subject: [PATCH 087/176] bug fix --- .../nightly-benchmarks/scripts/generate-nightly-markdown.py | 1 - 1 file changed, 1 deletion(-) diff --git a/.buildkite/nightly-benchmarks/scripts/generate-nightly-markdown.py b/.buildkite/nightly-benchmarks/scripts/generate-nightly-markdown.py index 8c3ed2b386488..7aa86f8175774 100644 --- a/.buildkite/nightly-benchmarks/scripts/generate-nightly-markdown.py +++ b/.buildkite/nightly-benchmarks/scripts/generate-nightly-markdown.py @@ -77,7 +77,6 @@ def main(args): # generate markdown table df = pd.DataFrame.from_dict(results) - df = df[df["Test name"].str.contains(args.dataset)] md_table = tabulate(df, headers='keys', tablefmt='pipe', showindex=False) From b5f90fdd24cd32a3272914b3b5c0d09f85ef7fe5 Mon Sep 17 00:00:00 2001 From: Kuntai Du Date: Wed, 21 Aug 2024 21:40:27 -0700 Subject: [PATCH 088/176] benchmark vllm again with num-schedule-step=1 --- .../nightly-benchmarks/nightly-pipeline.yaml | 22 +++++++++---------- .../scripts/plot-nightly-results.py | 6 +++-- .../tests/nightly-tests.json | 6 ++--- 3 files changed, 18 insertions(+), 16 deletions(-) diff --git a/.buildkite/nightly-benchmarks/nightly-pipeline.yaml b/.buildkite/nightly-benchmarks/nightly-pipeline.yaml index 3af52d7f3cc06..8c41600278204 100644 --- a/.buildkite/nightly-benchmarks/nightly-pipeline.yaml +++ b/.buildkite/nightly-benchmarks/nightly-pipeline.yaml @@ -52,17 +52,17 @@ steps: # <<: *common_container_settings - - label: "A100 sglang benchmark" - priority: 100 - agents: - queue: A100 - plugins: - - kubernetes: - podSpec: - <<: *common_pod_spec - containers: - - image: lmsysorg/sglang:v0.2.12-cu118 - <<: *common_container_settings + # - label: "A100 sglang benchmark" + # priority: 100 + # agents: + # queue: A100 + # plugins: + # - kubernetes: + # podSpec: + # <<: *common_pod_spec + # containers: + # - image: lmsysorg/sglang:v0.2.12-cu118 + # <<: *common_container_settings # - label: "A100 lmdeploy benchmark" # priority: 100 diff --git a/.buildkite/nightly-benchmarks/scripts/plot-nightly-results.py b/.buildkite/nightly-benchmarks/scripts/plot-nightly-results.py index 1d729feeb47b1..cd854e41c9edb 100644 --- a/.buildkite/nightly-benchmarks/scripts/plot-nightly-results.py +++ b/.buildkite/nightly-benchmarks/scripts/plot-nightly-results.py @@ -105,6 +105,8 @@ def main(args): print(model, metric) for k, method in enumerate(methods): mean, std = get_perf_w_std(df, method, model, metric) + if method == "vllm" and metric == "ITL" and std is not None: + mean, std = [i / 10 for i in mean], [i / 10 for i in std] print(method, mean, std) ax.errorbar(range(len(mean)), mean, @@ -114,8 +116,8 @@ def main(args): label=method, lw=4,) ax.set_ylim(bottom=0) - if metric == "TTFT": - ax.set_ylim(0, 5000) + # if metric == "TTFT": + # ax.set_ylim(0, 500) ax.set_xticks(range(len(mean))) ax.set_xticklabels(["2", "4", "8", "16", "inf"]) diff --git a/.buildkite/nightly-benchmarks/tests/nightly-tests.json b/.buildkite/nightly-benchmarks/tests/nightly-tests.json index d722b43c447f3..c701abb345b3e 100644 --- a/.buildkite/nightly-benchmarks/tests/nightly-tests.json +++ b/.buildkite/nightly-benchmarks/tests/nightly-tests.json @@ -35,7 +35,7 @@ "vllm_server_parameters": { "disable_log_stats": "", "disable_log_requests": "", - "num_scheduler_steps": "10", + "num_scheduler_steps": "1", "max_model_len": "20000" }, "vllm_client_parameters": { @@ -85,7 +85,7 @@ "vllm_server_parameters": { "disable_log_stats": "", "disable_log_requests": "", - "num_scheduler_steps": "10", + "num_scheduler_steps": "1", "max_model_len": "20000" }, "vllm_client_parameters": { @@ -135,7 +135,7 @@ "vllm_server_parameters": { "disable_log_stats": "", "disable_log_requests": "", - "num_scheduler_steps": "10", + "num_scheduler_steps": "1", "max_model_len": "20000" }, "vllm_client_parameters": { From 3c40c2f84b5fac5cf91effaafcf52165142c0d60 Mon Sep 17 00:00:00 2001 From: Kuntai Du Date: Fri, 23 Aug 2024 16:16:30 -0700 Subject: [PATCH 089/176] allow downloading results and scripts from buildkite annotation. Download the results separately --- .../nightly-benchmarks/nightly-annotation.md | 28 +++++++++ .../scripts/nightly-annotate.sh | 61 ++++++++++++------- .../scripts/plot-nightly-results.py | 26 ++++++-- 3 files changed, 88 insertions(+), 27 deletions(-) create mode 100644 .buildkite/nightly-benchmarks/nightly-annotation.md diff --git a/.buildkite/nightly-benchmarks/nightly-annotation.md b/.buildkite/nightly-benchmarks/nightly-annotation.md new file mode 100644 index 0000000000000..1e33793842bf8 --- /dev/null +++ b/.buildkite/nightly-benchmarks/nightly-annotation.md @@ -0,0 +1,28 @@ + +## Description + +This file contains the downloading link for benchmarking results. + +- [benchmarking pipeline](artifact://nightly-pipeline.yaml) +- [benchmarking results](artifact://results.zip) +- [benchmarking code](artifact://nightly-benchmarks.zip) + +Please download the visualization scripts in the post + + +## Results reproduction + +- Find the docker we use in `benchmarking pipeline` +- Deploy the docker, and inside the docker: + - Download `nightly-benchmarks.zip`. + - In the same folder, run the following code +``` +export HF_TOKEN= +apt update +apt install -y git +unzip nightly-benchmarks.zip +VLLM_SOURCE_CODE_LOC=./ bash .buildkite/nightly-benchmarks/scripts/run-nightly-benchmarks.sh +``` + +And the results will be inside `./benchmarks/results`. + diff --git a/.buildkite/nightly-benchmarks/scripts/nightly-annotate.sh b/.buildkite/nightly-benchmarks/scripts/nightly-annotate.sh index 8facf59ccb67e..c6a1bbdeb7d48 100644 --- a/.buildkite/nightly-benchmarks/scripts/nightly-annotate.sh +++ b/.buildkite/nightly-benchmarks/scripts/nightly-annotate.sh @@ -25,37 +25,54 @@ main() { ls ls results/ + # upload benchmark results zip -r results.zip results/ /workspace/buildkite-agent artifact upload "results.zip" - # generate figures - python3 -m pip install tabulate pandas matplotlib + # upload benchmarking scripts + cd $VLLM_SOURCE_CODE_LOC/ + zip -r nightly-benchmarks.zip .buildkite/ benchmarks/ + /workspace/buildkite-agent artifact upload "nightly-benchmarks.zip" - python3 $VLLM_SOURCE_CODE_LOC/.buildkite/nightly-benchmarks/scripts/generate-nightly-markdown.py \ - --description $description \ - --results-folder results/ + cd $VLLM_SOURCE_CODE_LOC/.buildkite/nightly-benchmarks/ + # upload benchmarking pipeline + /workspace/buildkite-agent artifact upload "nightly-pipeline.yaml" + + cd $VLLM_SOURCE_CODE_LOC/.buildkite/nightly-benchmarks/ + /workspace/buildkite-agent annotate --style "success" --context "nightly-benchmarks-results" --append < nightly-annotation.md + + + + # The figures should be genereated by a separate process outside the CI/CD pipeline + + # # generate figures + # python3 -m pip install tabulate pandas matplotlib + + # python3 $VLLM_SOURCE_CODE_LOC/.buildkite/nightly-benchmarks/scripts/generate-nightly-markdown.py \ + # --description $description \ + # --results-folder results/ - python3 $VLLM_SOURCE_CODE_LOC/.buildkite/nightly-benchmarks/scripts/plot-nightly-results.py \ - --description $description \ - --results-folder results/ \ - --dataset sharegpt + # python3 $VLLM_SOURCE_CODE_LOC/.buildkite/nightly-benchmarks/scripts/plot-nightly-results.py \ + # --description $description \ + # --results-folder results/ \ + # --dataset sharegpt - python3 $VLLM_SOURCE_CODE_LOC/.buildkite/nightly-benchmarks/scripts/plot-nightly-results.py \ - --description $description \ - --results-folder results/ \ - --dataset sonnet_2048_128 + # python3 $VLLM_SOURCE_CODE_LOC/.buildkite/nightly-benchmarks/scripts/plot-nightly-results.py \ + # --description $description \ + # --results-folder results/ \ + # --dataset sonnet_2048_128 - python3 $VLLM_SOURCE_CODE_LOC/.buildkite/nightly-benchmarks/scripts/plot-nightly-results.py \ - --description $description \ - --results-folder results/ \ - --dataset sonnet_128_2048 + # python3 $VLLM_SOURCE_CODE_LOC/.buildkite/nightly-benchmarks/scripts/plot-nightly-results.py \ + # --description $description \ + # --results-folder results/ \ + # --dataset sonnet_128_2048 - # upload results and figures - /workspace/buildkite-agent artifact upload "nightly_results*.png" - /workspace/buildkite-agent artifact upload $VLLM_SOURCE_CODE_LOC/.buildkite/nightly-benchmarks/nightly-pipeline.yaml - /workspace/buildkite-agent artifact upload $VLLM_SOURCE_CODE_LOC/.buildkite/nightly-benchmarks/tests/nightly-tests.json - /workspace/buildkite-agent annotate --style "success" --context "nightly-benchmarks-results" --append < nightly_results.md + # # upload results and figures + # /workspace/buildkite-agent artifact upload "nightly_results*.png" + # /workspace/buildkite-agent artifact upload $VLLM_SOURCE_CODE_LOC/.buildkite/nightly-benchmarks/nightly-pipeline.yaml + # /workspace/buildkite-agent artifact upload $VLLM_SOURCE_CODE_LOC/.buildkite/nightly-benchmarks/tests/nightly-tests.json + # /workspace/buildkite-agent annotate --style "success" --context "nightly-benchmarks-results" --append < nightly_results.md } main "$@" \ No newline at end of file diff --git a/.buildkite/nightly-benchmarks/scripts/plot-nightly-results.py b/.buildkite/nightly-benchmarks/scripts/plot-nightly-results.py index cd854e41c9edb..66afc07049619 100644 --- a/.buildkite/nightly-benchmarks/scripts/plot-nightly-results.py +++ b/.buildkite/nightly-benchmarks/scripts/plot-nightly-results.py @@ -78,6 +78,19 @@ def main(args): for test_file in results_folder.glob("*_nightly_results.json"): with open(test_file, "r") as f: results = results + json.loads(f.read()) + + with open("vllm2_nightly_results.json", "r") as f: + results2 = json.loads(f.read()) + + for i in results: + if i['Engine'] == "vllm": + i['Engine'] = "vllm_step10" + i['Mean ITL (ms)'] = i['Mean ITL (ms)'] / 10 + i['Std ITL (ms)'] = i['Std ITL (ms)'] / 10 + + for i in results2: + i['Engine'] = "vllm_single" + results = results + results2 # generate markdown table df = pd.DataFrame.from_dict(results) @@ -90,7 +103,7 @@ def main(args): # plot results fig, axes = plt.subplots(3, 3, figsize=(16, 14)) fig.subplots_adjust(hspace=1) - methods = ["vllm", "trt", "sglang", "lmdeploy"] + methods = ["vllm_step10", "vllm_single", "sglang", "lmdeploy"] for i, model in enumerate(["llama8B", "llama70B", "mixtral8x7B"]): for j, metric in enumerate(["TTFT", "ITL", "Tput"]): ax = axes[i, j] @@ -105,9 +118,12 @@ def main(args): print(model, metric) for k, method in enumerate(methods): mean, std = get_perf_w_std(df, method, model, metric) - if method == "vllm" and metric == "ITL" and std is not None: - mean, std = [i / 10 for i in mean], [i / 10 for i in std] print(method, mean, std) + if method == "vllm_step10" and metric == "TTFT" and std is not None: + mean = [i - 4 * j for i, j in zip( + mean, + get_perf(df, method, model, "Mean ITL (ms)").tolist() + )] ax.errorbar(range(len(mean)), mean, yerr=std, @@ -116,8 +132,8 @@ def main(args): label=method, lw=4,) ax.set_ylim(bottom=0) - # if metric == "TTFT": - # ax.set_ylim(0, 500) + if metric == "TTFT": + ax.set_ylim(0, 200) ax.set_xticks(range(len(mean))) ax.set_xticklabels(["2", "4", "8", "16", "inf"]) From ca6a9fdd148c5df7b65ee1052b4eeaecb1b43f1b Mon Sep 17 00:00:00 2001 From: Kuntai Du Date: Fri, 23 Aug 2024 16:33:52 -0700 Subject: [PATCH 090/176] add vllm version-specific benchmarking --- .../nightly-benchmarks/nightly-pipeline.yaml | 18 ++++++++++++++++-- 1 file changed, 16 insertions(+), 2 deletions(-) diff --git a/.buildkite/nightly-benchmarks/nightly-pipeline.yaml b/.buildkite/nightly-benchmarks/nightly-pipeline.yaml index 8c41600278204..d6ab5fb279d80 100644 --- a/.buildkite/nightly-benchmarks/nightly-pipeline.yaml +++ b/.buildkite/nightly-benchmarks/nightly-pipeline.yaml @@ -77,7 +77,7 @@ steps: # <<: *common_container_settings - - label: "A100 vllm benchmark" + - label: "A100 vllm 0.5.3.post1 benchmark" priority: 100 agents: queue: A100 @@ -86,9 +86,23 @@ steps: podSpec: <<: *common_pod_spec containers: - - image: public.ecr.aws/q9t5s3a7/vllm-ci-test-repo:9b73a2f498e8bf8e18305a8afea84536e9330088 + - image: vllm/vllm-openai:v0.5.3.post1 <<: *common_container_settings + - label: "A100 vllm 0.5.5 benchmark" + priority: 100 + agents: + queue: A100 + plugins: + - kubernetes: + podSpec: + <<: *common_pod_spec + containers: + - image: vllm/vllm-openai:v0.5.5 + <<: *common_container_settings + + + # - label: "A100 tgi benchmark" # priority: 100 # agents: From c3696b0c32dad7e3fe6bba9f9dbeb33f030ccc55 Mon Sep 17 00:00:00 2001 From: Kuntai Du Date: Fri, 23 Aug 2024 16:43:55 -0700 Subject: [PATCH 091/176] distinguish between different versions of vllm --- .../nightly-benchmarks/scripts/run-nightly-benchmarks.sh | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/.buildkite/nightly-benchmarks/scripts/run-nightly-benchmarks.sh b/.buildkite/nightly-benchmarks/scripts/run-nightly-benchmarks.sh index 58fcabed7194b..e67abef55a2ca 100644 --- a/.buildkite/nightly-benchmarks/scripts/run-nightly-benchmarks.sh +++ b/.buildkite/nightly-benchmarks/scripts/run-nightly-benchmarks.sh @@ -71,7 +71,8 @@ get_current_llm_serving_engine() { if [ -e /vllm-workspace ]; then echo "Container: vllm" - export CURRENT_LLM_SERVING_ENGINE=vllm + export CURRENT_LLM_SERVING_ENGINE=vllm_$(python3 -c "import vllm; print(vllm.__version__.replace('.', ''))") + return fi } From 1c9554985d2a5c18bae586592c09ebd7cb088389 Mon Sep 17 00:00:00 2001 From: Kuntai Du Date: Fri, 23 Aug 2024 16:56:11 -0700 Subject: [PATCH 092/176] use different set of parameters between different versions of vllm --- .../tests/nightly-tests.json | 39 ++++++++++++++----- 1 file changed, 30 insertions(+), 9 deletions(-) diff --git a/.buildkite/nightly-benchmarks/tests/nightly-tests.json b/.buildkite/nightly-benchmarks/tests/nightly-tests.json index c701abb345b3e..7aa006ff6be75 100644 --- a/.buildkite/nightly-benchmarks/tests/nightly-tests.json +++ b/.buildkite/nightly-benchmarks/tests/nightly-tests.json @@ -32,13 +32,20 @@ "trt_client_parameters": { "endpoint": "/v2/models/ensemble/generate_stream" }, - "vllm_server_parameters": { + "vllm_053post1_server_parameters": { "disable_log_stats": "", "disable_log_requests": "", - "num_scheduler_steps": "1", "max_model_len": "20000" }, - "vllm_client_parameters": { + "vllm_053post1_client_parameters": { + }, + "vllm_055_server_parameters": { + "disable_log_stats": "", + "disable_log_requests": "", + "num_scheduler_steps": "5", + "max_model_len": "20000" + }, + "vllm_055_client_parameters": { }, "sglang_server_parameters": { "disable_radix_cache": "" @@ -82,13 +89,20 @@ "trt_client_parameters": { "endpoint": "/v2/models/ensemble/generate_stream" }, - "vllm_server_parameters": { + "vllm_053post1_server_parameters": { "disable_log_stats": "", "disable_log_requests": "", - "num_scheduler_steps": "1", "max_model_len": "20000" }, - "vllm_client_parameters": { + "vllm_053post1_client_parameters": { + }, + "vllm_055_server_parameters": { + "disable_log_stats": "", + "disable_log_requests": "", + "num_scheduler_steps": "5", + "max_model_len": "20000" + }, + "vllm_055_client_parameters": { }, "sglang_server_parameters": { "disable_radix_cache": "" @@ -132,13 +146,20 @@ "trt_client_parameters": { "endpoint": "/v2/models/ensemble/generate_stream" }, - "vllm_server_parameters": { + "vllm_053post1_server_parameters": { + "disable_log_stats": "", + "disable_log_requests": "", + "max_model_len": "20000" + }, + "vllm_053post1_client_parameters": { + }, + "vllm_055_server_parameters": { "disable_log_stats": "", "disable_log_requests": "", - "num_scheduler_steps": "1", + "num_scheduler_steps": "5", "max_model_len": "20000" }, - "vllm_client_parameters": { + "vllm_055_client_parameters": { }, "sglang_server_parameters": { "disable_radix_cache": "" From 0ee068810499788ba08b0c1d9d57debbb205e5fd Mon Sep 17 00:00:00 2001 From: Kuntai Du Date: Fri, 23 Aug 2024 17:01:08 -0700 Subject: [PATCH 093/176] fix vllm import issue --- .buildkite/nightly-benchmarks/scripts/run-nightly-benchmarks.sh | 2 ++ 1 file changed, 2 insertions(+) diff --git a/.buildkite/nightly-benchmarks/scripts/run-nightly-benchmarks.sh b/.buildkite/nightly-benchmarks/scripts/run-nightly-benchmarks.sh index e67abef55a2ca..3ae5d424661b4 100644 --- a/.buildkite/nightly-benchmarks/scripts/run-nightly-benchmarks.sh +++ b/.buildkite/nightly-benchmarks/scripts/run-nightly-benchmarks.sh @@ -71,6 +71,8 @@ get_current_llm_serving_engine() { if [ -e /vllm-workspace ]; then echo "Container: vllm" + # move to a completely irrelevant directory, to avoid import vllm from current folder + cd /dev export CURRENT_LLM_SERVING_ENGINE=vllm_$(python3 -c "import vllm; print(vllm.__version__.replace('.', ''))") return From 4befb1be82980fd024b791e7a393571cd4850fc4 Mon Sep 17 00:00:00 2001 From: Kuntai Du Date: Fri, 23 Aug 2024 17:07:06 -0700 Subject: [PATCH 094/176] launch server from script --- .buildkite/nightly-benchmarks/scripts/launch-server.sh | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.buildkite/nightly-benchmarks/scripts/launch-server.sh b/.buildkite/nightly-benchmarks/scripts/launch-server.sh index 9ce5b1c1e46d7..e9d7d6a8d760a 100644 --- a/.buildkite/nightly-benchmarks/scripts/launch-server.sh +++ b/.buildkite/nightly-benchmarks/scripts/launch-server.sh @@ -233,7 +233,7 @@ main() { launch_sglang_server fi - if [[ $CURRENT_LLM_SERVING_ENGINE == "vllm" ]]; then + if [[ "$CURRENT_LLM_SERVING_ENGINE" == *"vllm"* ]]; then launch_vllm_server fi } From 53b13a287999bbf44f4dbb976e02ebd70a070f73 Mon Sep 17 00:00:00 2001 From: Kuntai Du Date: Fri, 23 Aug 2024 17:11:06 -0700 Subject: [PATCH 095/176] redirect backend to vllm if the engine is vllm055 or vllm 053post1 --- .../nightly-benchmarks/scripts/run-nightly-benchmarks.sh | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/.buildkite/nightly-benchmarks/scripts/run-nightly-benchmarks.sh b/.buildkite/nightly-benchmarks/scripts/run-nightly-benchmarks.sh index 3ae5d424661b4..198af3f809f7b 100644 --- a/.buildkite/nightly-benchmarks/scripts/run-nightly-benchmarks.sh +++ b/.buildkite/nightly-benchmarks/scripts/run-nightly-benchmarks.sh @@ -222,6 +222,10 @@ run_serving_tests() { backend="tensorrt-llm" fi + if [[ "$backend" == *"vllm"* ]]; then + backend="vllm" + fi + if [[ "$dataset_name" = "sharegpt" ]]; then client_command="python3 benchmark_serving.py \ From 1410ce3a918cf16f112deeb0b39accb0747aea66 Mon Sep 17 00:00:00 2001 From: Kuntai Du Date: Fri, 23 Aug 2024 17:13:03 -0700 Subject: [PATCH 096/176] refer to instead of when benchmark_serving --- .buildkite/nightly-benchmarks/scripts/run-nightly-benchmarks.sh | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.buildkite/nightly-benchmarks/scripts/run-nightly-benchmarks.sh b/.buildkite/nightly-benchmarks/scripts/run-nightly-benchmarks.sh index 198af3f809f7b..79f9565acaace 100644 --- a/.buildkite/nightly-benchmarks/scripts/run-nightly-benchmarks.sh +++ b/.buildkite/nightly-benchmarks/scripts/run-nightly-benchmarks.sh @@ -229,7 +229,7 @@ run_serving_tests() { if [[ "$dataset_name" = "sharegpt" ]]; then client_command="python3 benchmark_serving.py \ - --backend $CURRENT_LLM_SERVING_ENGINE \ + --backend $backend \ --tokenizer /tokenizer_cache \ --model $model \ --dataset-name $dataset_name \ From c75dbcd057384a47e3f306e0eb9431f810ac41c3 Mon Sep 17 00:00:00 2001 From: Kuntai Du Date: Fri, 23 Aug 2024 17:39:03 -0700 Subject: [PATCH 097/176] udpate test cases --- .../tests/nightly-tests.json | 30 ++++++++----------- 1 file changed, 12 insertions(+), 18 deletions(-) diff --git a/.buildkite/nightly-benchmarks/tests/nightly-tests.json b/.buildkite/nightly-benchmarks/tests/nightly-tests.json index 7aa006ff6be75..53dd7713f2d69 100644 --- a/.buildkite/nightly-benchmarks/tests/nightly-tests.json +++ b/.buildkite/nightly-benchmarks/tests/nightly-tests.json @@ -54,19 +54,16 @@ } }, { - "test_name": "llama8B_tp1_sonnet_2048_128", + "test_name": "llama70B_tp4_sharegpt", "qps_list": [2,4,8,16,"inf"], "common_parameters": { - "model": "meta-llama/Meta-Llama-3.1-8B-Instruct", - "tp": 1, - "dataset_name": "sonnet", - "dataset_path": "./sonnet_4x.txt", + "model": "meta-llama/Meta-Llama-3.1-70B-Instruct", + "tp": 4, + "dataset_name": "sharegpt", + "dataset_path": "./ShareGPT_V3_unfiltered_cleaned_split.json", "num_prompts": 500, "port": 8000, - "sonnet_input_len": 2048, - "sonnet_output_len": 128, - "sonnet_prefix_len": 50, - "reuse_server": true + "reuse_server": false }, "lmdeploy_server_parameters": { }, @@ -111,19 +108,16 @@ } }, { - "test_name": "llama8B_tp1_sonnet_128_2048", + "test_name": "mixtral8x7B_tp2_sharegpt", "qps_list": [2,4,8,16,"inf"], "common_parameters": { - "model": "meta-llama/Meta-Llama-3.1-8B-Instruct", - "tp": 1, - "dataset_name": "sonnet", - "dataset_path": "./sonnet_4x.txt", + "model": "mistralai/Mixtral-8x7B-Instruct-v0.1", + "tp": 2, + "dataset_name": "sharegpt", + "dataset_path": "./ShareGPT_V3_unfiltered_cleaned_split.json", "num_prompts": 500, "port": 8000, - "sonnet_input_len": 128, - "sonnet_output_len": 2048, - "sonnet_prefix_len": 50, - "reuse_server": true + "reuse_server": false }, "lmdeploy_server_parameters": { }, From 427e013c59898072a531b29495e1fbe5c378cb99 Mon Sep 17 00:00:00 2001 From: Kuntai Du Date: Fri, 23 Aug 2024 18:01:40 -0700 Subject: [PATCH 098/176] use tpot instead of ITL --- ITL is wrongfully too large for multi-step --- .../nightly-benchmarks/scripts/summary-nightly-results.py | 6 ++++-- 1 file changed, 4 insertions(+), 2 deletions(-) diff --git a/.buildkite/nightly-benchmarks/scripts/summary-nightly-results.py b/.buildkite/nightly-benchmarks/scripts/summary-nightly-results.py index 71af9eaa1c271..3217e42252167 100644 --- a/.buildkite/nightly-benchmarks/scripts/summary-nightly-results.py +++ b/.buildkite/nightly-benchmarks/scripts/summary-nightly-results.py @@ -17,8 +17,10 @@ "request_throughput": "Tput (req/s)", "mean_ttft_ms": "Mean TTFT (ms)", "std_ttft_ms": "Std TTFT (ms)", - "mean_itl_ms": "Mean ITL (ms)", - "std_itl_ms": "Std ITL (ms)", + # "mean_itl_ms": "Mean ITL (ms)", + # "std_itl_ms": "Std ITL (ms)", + "mean_tpot_ms": "Mean TPOT (ms)", + "std_tpot_ms": "Std TPOT (ms)", "input_throughput": "Input Tput (tok/s)", "output_throughput": "Output Tput (tok/s)", "total_input_tokens": "Total input tokens", From 922803515226bd0f88c577578709f44ba133c81e Mon Sep 17 00:00:00 2001 From: Kuntai Du Date: Sat, 24 Aug 2024 00:00:16 -0700 Subject: [PATCH 099/176] update plotting script and benchmarking results --- .../scripts/plot-nightly-results.py | 42 +++++++----------- benchmarks/nightly_results_sharegpt.png | Bin 0 -> 1308604 bytes 2 files changed, 15 insertions(+), 27 deletions(-) create mode 100644 benchmarks/nightly_results_sharegpt.png diff --git a/.buildkite/nightly-benchmarks/scripts/plot-nightly-results.py b/.buildkite/nightly-benchmarks/scripts/plot-nightly-results.py index 66afc07049619..6ead02cb2f95e 100644 --- a/.buildkite/nightly-benchmarks/scripts/plot-nightly-results.py +++ b/.buildkite/nightly-benchmarks/scripts/plot-nightly-results.py @@ -49,7 +49,7 @@ def get_perf(df, method, model, metric): def get_perf_w_std(df, method, model, metric): - if metric in ["TTFT", "ITL"]: + if metric in ["TTFT", "TPOT"]: mean = get_perf(df, method, model, "Mean " + metric + " (ms)") mean = mean.tolist() std = get_perf(df, method, model, "Std " + metric + " (ms)") @@ -79,19 +79,6 @@ def main(args): with open(test_file, "r") as f: results = results + json.loads(f.read()) - with open("vllm2_nightly_results.json", "r") as f: - results2 = json.loads(f.read()) - - for i in results: - if i['Engine'] == "vllm": - i['Engine'] = "vllm_step10" - i['Mean ITL (ms)'] = i['Mean ITL (ms)'] / 10 - i['Std ITL (ms)'] = i['Std ITL (ms)'] / 10 - - for i in results2: - i['Engine'] = "vllm_single" - results = results + results2 - # generate markdown table df = pd.DataFrame.from_dict(results) df = df[df["Test name"].str.contains(args.dataset)] @@ -103,27 +90,26 @@ def main(args): # plot results fig, axes = plt.subplots(3, 3, figsize=(16, 14)) fig.subplots_adjust(hspace=1) - methods = ["vllm_step10", "vllm_single", "sglang", "lmdeploy"] + methods = ["vllm_055", "vllm_053post1"] for i, model in enumerate(["llama8B", "llama70B", "mixtral8x7B"]): - for j, metric in enumerate(["TTFT", "ITL", "Tput"]): + for j, metric in enumerate(["Tput", "TPOT", "TTFT"]): + ax = axes[i, j] - if metric in ["TTFT", "ITL"]: + if metric in ["TTFT", "TPOT"]: ax.set_ylabel(f"{metric} (ms)") else: - ax.set_ylabel(f"{metric} (tok/s)") + ax.set_ylabel(f"Thoughput (tokens/s)") ax.set_xlabel("QPS") - ax.set_title(f"{model} {args.dataset} {metric}") + if metric == "Tput": + ax.set_title(f"{model} {args.dataset} Thoughput") + else: + ax.set_title(f"{model} {args.dataset} {metric}") ax.grid(axis='y') - print("New line") print(model, metric) + + inf_qps_results = [] for k, method in enumerate(methods): mean, std = get_perf_w_std(df, method, model, metric) - print(method, mean, std) - if method == "vllm_step10" and metric == "TTFT" and std is not None: - mean = [i - 4 * j for i, j in zip( - mean, - get_perf(df, method, model, "Mean ITL (ms)").tolist() - )] ax.errorbar(range(len(mean)), mean, yerr=std, @@ -131,9 +117,11 @@ def main(args): capthick=4, label=method, lw=4,) + inf_qps_results.append(mean[-2]) + print((inf_qps_results[0] - inf_qps_results[1]) / inf_qps_results[1]) ax.set_ylim(bottom=0) if metric == "TTFT": - ax.set_ylim(0, 200) + ax.set_ylim(0, 500) ax.set_xticks(range(len(mean))) ax.set_xticklabels(["2", "4", "8", "16", "inf"]) diff --git a/benchmarks/nightly_results_sharegpt.png b/benchmarks/nightly_results_sharegpt.png new file mode 100644 index 0000000000000000000000000000000000000000..40cde07e8fc4b13c09cffcbf0f47d37d4d80d356 GIT binary patch literal 1308604 zcmeFZcU06_w=Ifoj;KhZNHBtef`W)-#TGU~G 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