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round up to 12h
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dhuangnm authored and dhuangnm committed Jul 11, 2024
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2 changes: 1 addition & 1 deletion .github/workflows/nm-nightly.yml
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Expand Up @@ -37,7 +37,7 @@ jobs:
{"python":"3.9.17","label":"gcp-k8s-l4-solo","test":"neuralmagic/tests/test_skip_env_vars/full.txt"},
{"python":"3.10.12","label":"gcp-k8s-l4-solo","test":"neuralmagic/tests/test_skip_env_vars/full.txt"},
{"python":"3.11.4","label":"gcp-k8s-l4-solo","test":"neuralmagic/tests/test_skip_env_vars/full.txt"}]'
test_timeout: 600
test_timeout: 720

benchmark_labels: '["gcp-k8s-l4-solo", "k8s-h100-solo"]'
benchmark_config_list_file: ./.github/data/nm_benchmark_base_config_list.txt
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smaller_is_better

Benchmark suite Current: 17252b5 Previous: 0981a60 Ratio
{"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 H100 80GB HBM3 x 1", "vllm_version": "0.5.1", "python_version": "3.10.12 (main, Jun 7 2023, 13:43:11) [GCC 11.3.0]", "torch_version": "2.3.0+cu121"} 30.975224381933607 ms
{"name": "mean_tpot_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 H100 80GB HBM3 x 1", "vllm_version": "0.5.1", "python_version": "3.10.12 (main, Jun 7 2023, 13:43:11) [GCC 11.3.0]", "torch_version": "2.3.0+cu121"} 11.030093042760539 ms
{"name": "mean_ttft_ms", "description": "VLLM Serving - Dense\nmodel - facebook/opt-350m\nmax-model-len - 2048\nsparsity - None\nbenchmark_serving {\n \"nr-qps-pair_\": \"300,1\",\n \"dataset\": \"sharegpt\"\n}", "gpu_description": "NVIDIA H100 80GB HBM3 x 1", "vllm_version": "0.5.1", "python_version": "3.10.12 (main, Jun 7 2023, 13:43:11) [GCC 11.3.0]", "torch_version": "2.3.0+cu121"} 40.78585608396679 ms
{"name": "mean_tpot_ms", "description": "VLLM Serving - Dense\nmodel - facebook/opt-350m\nmax-model-len - 2048\nsparsity - None\nbenchmark_serving {\n \"nr-qps-pair_\": \"300,1\",\n \"dataset\": \"sharegpt\"\n}", "gpu_description": "NVIDIA H100 80GB HBM3 x 1", "vllm_version": "0.5.1", "python_version": "3.10.12 (main, Jun 7 2023, 13:43:11) [GCC 11.3.0]", "torch_version": "2.3.0+cu121"} 7.300542079286649 ms

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smaller_is_better

Benchmark suite Current: 17252b5 Previous: 0981a60 Ratio
{"name": "mean_ttft_ms", "description": "VLLM Serving - Dense\nmodel - facebook/opt-350m\nmax-model-len - 2048\nsparsity - None\nbenchmark_serving {\n \"nr-qps-pair_\": \"300,1\",\n \"dataset\": \"sharegpt\"\n}", "gpu_description": "NVIDIA H100 80GB HBM3 x 1", "vllm_version": "0.5.1", "python_version": "3.10.12 (main, Jun 7 2023, 13:43:11) [GCC 11.3.0]", "torch_version": "2.3.0+cu121"} 40.73869945015758 ms
{"name": "mean_tpot_ms", "description": "VLLM Serving - Dense\nmodel - facebook/opt-350m\nmax-model-len - 2048\nsparsity - None\nbenchmark_serving {\n \"nr-qps-pair_\": \"300,1\",\n \"dataset\": \"sharegpt\"\n}", "gpu_description": "NVIDIA H100 80GB HBM3 x 1", "vllm_version": "0.5.1", "python_version": "3.10.12 (main, Jun 7 2023, 13:43:11) [GCC 11.3.0]", "torch_version": "2.3.0+cu121"} 7.4653140377955385 ms
{"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 H100 80GB HBM3 x 1", "vllm_version": "0.5.1", "python_version": "3.10.12 (main, Jun 7 2023, 13:43:11) [GCC 11.3.0]", "torch_version": "2.3.0+cu121"} 30.79842867484937 ms
{"name": "mean_tpot_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 H100 80GB HBM3 x 1", "vllm_version": "0.5.1", "python_version": "3.10.12 (main, Jun 7 2023, 13:43:11) [GCC 11.3.0]", "torch_version": "2.3.0+cu121"} 11.304677046239567 ms

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smaller_is_better

Benchmark suite Current: 17252b5 Previous: 0981a60 Ratio
{"name": "mean_ttft_ms", "description": "VLLM Serving - Dense\nmodel - facebook/opt-350m\nmax-model-len - 2048\nsparsity - None\nbenchmark_serving {\n \"nr-qps-pair_\": \"300,1\",\n \"dataset\": \"sharegpt\"\n}", "gpu_description": "NVIDIA L4 x 1", "vllm_version": "0.5.1", "python_version": "3.10.12 (main, Jun 7 2023, 13:43:11) [GCC 11.3.0]", "torch_version": "2.3.0+cu121"} 24.44586482354983 ms 23.749490029999833 ms 1.03
{"name": "mean_tpot_ms", "description": "VLLM Serving - Dense\nmodel - facebook/opt-350m\nmax-model-len - 2048\nsparsity - None\nbenchmark_serving {\n \"nr-qps-pair_\": \"300,1\",\n \"dataset\": \"sharegpt\"\n}", "gpu_description": "NVIDIA L4 x 1", "vllm_version": "0.5.1", "python_version": "3.10.12 (main, Jun 7 2023, 13:43:11) [GCC 11.3.0]", "torch_version": "2.3.0+cu121"} 6.1774220441987655 ms 6.1429039622816495 ms 1.01
{"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", "vllm_version": "0.5.1", "python_version": "3.10.12 (main, Jun 7 2023, 13:43:11) [GCC 11.3.0]", "torch_version": "2.3.0+cu121"} 183.13624012992176 ms 185.41716645666838 ms 0.99
{"name": "mean_tpot_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", "vllm_version": "0.5.1", "python_version": "3.10.12 (main, Jun 7 2023, 13:43:11) [GCC 11.3.0]", "torch_version": "2.3.0+cu121"} 84.47449316772595 ms 85.25375980374442 ms 0.99

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smaller_is_better

Benchmark suite Current: 17252b5 Previous: 0981a60 Ratio
{"name": "mean_ttft_ms", "description": "VLLM Serving - Dense\nmodel - facebook/opt-350m\nmax-model-len - 2048\nsparsity - None\nbenchmark_serving {\n \"nr-qps-pair_\": \"300,1\",\n \"dataset\": \"sharegpt\"\n}", "gpu_description": "NVIDIA L4 x 1", "vllm_version": "0.5.1", "python_version": "3.10.12 (main, Jun 7 2023, 13:43:11) [GCC 11.3.0]", "torch_version": "2.3.0+cu121"} 24.39060591326173 ms 23.749490029999833 ms 1.03
{"name": "mean_tpot_ms", "description": "VLLM Serving - Dense\nmodel - facebook/opt-350m\nmax-model-len - 2048\nsparsity - None\nbenchmark_serving {\n \"nr-qps-pair_\": \"300,1\",\n \"dataset\": \"sharegpt\"\n}", "gpu_description": "NVIDIA L4 x 1", "vllm_version": "0.5.1", "python_version": "3.10.12 (main, Jun 7 2023, 13:43:11) [GCC 11.3.0]", "torch_version": "2.3.0+cu121"} 6.200124251474161 ms 6.1429039622816495 ms 1.01
{"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", "vllm_version": "0.5.1", "python_version": "3.10.12 (main, Jun 7 2023, 13:43:11) [GCC 11.3.0]", "torch_version": "2.3.0+cu121"} 187.14416520291707 ms 185.41716645666838 ms 1.01
{"name": "mean_tpot_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", "vllm_version": "0.5.1", "python_version": "3.10.12 (main, Jun 7 2023, 13:43:11) [GCC 11.3.0]", "torch_version": "2.3.0+cu121"} 84.35885511756629 ms 85.25375980374442 ms 0.99

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