From 8d5f25520e13c4c40b636fe307a115388ed51b26 Mon Sep 17 00:00:00 2001 From: github-action-benchmark Date: Tue, 24 Dec 2024 02:28:16 +0000 Subject: [PATCH] add smaller_is_better (customSmallerIsBetter) benchmark result for dabca025e458f83e9de82f68aef29b3260214c16 --- dev/bench/data.js | 94 +++++++++++++++++++++++------------------------ 1 file changed, 47 insertions(+), 47 deletions(-) diff --git a/dev/bench/data.js b/dev/bench/data.js index 3d98a5e..3de30e8 100644 --- a/dev/bench/data.js +++ b/dev/bench/data.js @@ -1,54 +1,8 @@ window.BENCHMARK_DATA = { - "lastUpdate": 1734932700585, + "lastUpdate": 1735007296953, "repoUrl": "https://github.com/neuralmagic/nm-vllm-ent", "entries": { "smaller_is_better": [ - { - "commit": { - "author": { - "name": "dhuangnm", - "username": "dhuangnm", - "email": "74931910+dhuangnm@users.noreply.github.com" - }, - "committer": { - "name": "GitHub", - "username": "web-flow", - "email": "noreply@github.com" - }, - "id": "e72131e83fefd2f56648e07f0d2f2395a7fe7b19", - "message": "Fix failed model tests in nightly (#166)\n\nFix failed model tests. Removed h100 duo partition to get nightly green\r\nand match what upstream does.\r\n\r\nA successful nightly run is here:\r\nhttps://github.com/neuralmagic/nm-vllm-ent/actions/runs/12285198281. The\r\nfailure is a known sampler test failure.\r\n\r\n---------\r\n\r\nCo-authored-by: dhuangnm ", - "timestamp": "2024-12-12T23:24:22Z", - "url": "https://github.com/neuralmagic/nm-vllm-ent/commit/e72131e83fefd2f56648e07f0d2f2395a7fe7b19" - }, - "date": 1734056098002, - "tool": "customSmallerIsBetter", - "benches": [ - { - "name": "{\"name\": \"mean_ttft_ms\", \"description\": \"VLLM Serving - Dense\\nmodel - meta-llama/Meta-Llama-3-8B-Instruct\\nmax-model-len - 4096\\nsparsity - None\\nbenchmark_serving {\\n \\\"nr-qps-pair_\\\": \\\"300,1\\\",\\n \\\"dataset\\\": \\\"sharegpt\\\"\\n}\", \"gpu_description\": \"NVIDIA A100-SXM4-80GB x 1\", \"python_version\": \"3.10.12\", \"torch_version\": \"2.4.0+cu121\"}", - "value": 60.03490103408694, - "unit": "ms", - "extra": "{\"description\": \"VLLM Serving - Dense\\nmodel - meta-llama/Meta-Llama-3-8B-Instruct\\nmax-model-len - 4096\\nsparsity - None\\nbenchmark_serving {\\n \\\"nr-qps-pair_\\\": \\\"300,1\\\",\\n \\\"dataset\\\": \\\"sharegpt\\\"\\n}\", \"benchmarking_context\": {\"vllm_version\": \"0.6.3.0.20241213\", \"python_version\": \"3.10.12\", \"torch_version\": \"2.4.0+cu121\", \"torch_cuda_version\": \"12.1\", \"cuda_devices\": \"[_CudaDeviceProperties(name='NVIDIA A100-SXM4-80GB', major=8, minor=0, total_memory=81049MB, multi_processor_count=108)]\", \"cuda_device_names\": [\"NVIDIA A100-SXM4-80GB\"]}, \"gpu_description\": \"NVIDIA A100-SXM4-80GB x 1\", \"script_name\": \"benchmark_serving.py\", \"script_args\": {\"description\": \"VLLM Serving - 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} - ] - }, { "commit": { "author": { @@ -2302,6 +2256,52 @@ window.BENCHMARK_DATA = { "extra": "{\"description\": \"VLLM Serving - Dense\\nmodel - meta-llama/Meta-Llama-3-70B-Instruct\\nmax-model-len - 4096\\nsparsity - None\\nbenchmark_serving {\\n \\\"nr-qps-pair_\\\": \\\"300,1\\\",\\n \\\"dataset\\\": \\\"sharegpt\\\"\\n}\", \"benchmarking_context\": {\"vllm_version\": \"0.6.3.0.20241223\", \"python_version\": \"3.10.12\", \"torch_version\": \"2.4.0+cu121\", \"torch_cuda_version\": \"12.1\", \"cuda_devices\": \"[_CudaDeviceProperties(name='NVIDIA H100 80GB HBM3', major=9, minor=0, total_memory=80994MB, multi_processor_count=132), _CudaDeviceProperties(name='NVIDIA H100 80GB HBM3', major=9, minor=0, total_memory=80994MB, multi_processor_count=132), _CudaDeviceProperties(name='NVIDIA H100 80GB HBM3', major=9, minor=0, total_memory=80994MB, multi_processor_count=132), _CudaDeviceProperties(name='NVIDIA H100 80GB HBM3', major=9, minor=0, total_memory=80994MB, multi_processor_count=132)]\", \"cuda_device_names\": [\"NVIDIA H100 80GB HBM3\", \"NVIDIA H100 80GB HBM3\", \"NVIDIA H100 80GB HBM3\", \"NVIDIA H100 80GB HBM3\"]}, \"gpu_description\": \"NVIDIA H100 80GB HBM3 x 4\", \"script_name\": \"benchmark_serving.py\", \"script_args\": {\"description\": \"VLLM Serving - 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There are also\nsteps/scripts that are added/modified to handle this data (upload to the\nrun as an artifact, write the results to the job summary).", + "timestamp": "2024-12-19T16:37:19Z", + "url": "https://github.com/neuralmagic/nm-vllm-ent/commit/dabca025e458f83e9de82f68aef29b3260214c16" + }, + "date": 1735007295696, + "tool": "customSmallerIsBetter", + "benches": [ + { + "name": "{\"name\": \"mean_ttft_ms\", \"description\": \"VLLM Serving - Dense\\nmodel - meta-llama/Meta-Llama-3-8B-Instruct\\nmax-model-len - 4096\\nsparsity - None\\nbenchmark_serving {\\n \\\"nr-qps-pair_\\\": \\\"300,1\\\",\\n \\\"dataset\\\": \\\"sharegpt\\\"\\n}\", \"gpu_description\": \"NVIDIA L4 x 1\", \"python_version\": \"3.10.12\", \"torch_version\": \"2.4.0+cu121\"}", + "value": 233.72346888667985, + "unit": "ms", + "extra": "{\"description\": \"VLLM Serving - Dense\\nmodel - meta-llama/Meta-Llama-3-8B-Instruct\\nmax-model-len - 4096\\nsparsity - None\\nbenchmark_serving {\\n \\\"nr-qps-pair_\\\": \\\"300,1\\\",\\n \\\"dataset\\\": \\\"sharegpt\\\"\\n}\", \"benchmarking_context\": {\"vllm_version\": \"0.6.3.0.20241224\", \"python_version\": \"3.10.12\", \"torch_version\": \"2.4.0+cu121\", \"torch_cuda_version\": \"12.1\", \"cuda_devices\": \"[_CudaDeviceProperties(name='NVIDIA L4', major=8, minor=9, total_memory=22593MB, multi_processor_count=58)]\", \"cuda_device_names\": [\"NVIDIA L4\"]}, \"gpu_description\": \"NVIDIA L4 x 1\", \"script_name\": \"benchmark_serving.py\", \"script_args\": {\"description\": \"VLLM Serving - 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