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[ CI ] skip local_workers_clean_shutdown (#317)
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SUMMARY:
* skip
`tests/engine/test_multiproc_workers.py::test_local_workers_clean_shutdown`
* test is failing in automation for python3.8
* issue is unable to be reproduced locally
* will come back to this in the future
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robertgshaw2-neuralmagic authored Jun 20, 2024
1 parent dd39914 commit abc0ceb
Showing 1 changed file with 2 additions and 0 deletions.
2 changes: 2 additions & 0 deletions tests/engine/test_multiproc_workers.py
Original file line number Diff line number Diff line change
Expand Up @@ -102,6 +102,8 @@ def execute_workers(worker_input: str) -> None:
assert isinstance(e, ChildProcessError)


@pytest.mark.skip(reason="Failing in NM automation for python 3.8. "
"Unable to reproduce locally. Skipping for now.")
def test_local_workers_clean_shutdown() -> None:
"""Test clean shutdown"""

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bigger_is_better

Benchmark suite Current: abc0ceb Previous: d8da97b Ratio
{"name": "request_throughput", "description": "VLLM Engine throughput - synthetic\nmodel - NousResearch/Llama-2-7b-chat-hf\nmax_model_len - 4096\nbenchmark_throughput {\n \"use-all-available-gpus_\": \"\",\n \"input-len\": 256,\n \"output-len\": 128,\n \"num-prompts\": 1000\n}", "gpu_description": "NVIDIA L4 x 1", "vllm_version": "0.5.0", "python_version": "3.10.12 (main, Jun 7 2023, 13:43:11) [GCC 11.3.0]", "torch_version": "2.3.0+cu121"} 2.4827250493548165 prompts/s
{"name": "token_throughput", "description": "VLLM Engine throughput - synthetic\nmodel - NousResearch/Llama-2-7b-chat-hf\nmax_model_len - 4096\nbenchmark_throughput {\n \"use-all-available-gpus_\": \"\",\n \"input-len\": 256,\n \"output-len\": 128,\n \"num-prompts\": 1000\n}", "gpu_description": "NVIDIA L4 x 1", "vllm_version": "0.5.0", "python_version": "3.10.12 (main, Jun 7 2023, 13:43:11) [GCC 11.3.0]", "torch_version": "2.3.0+cu121"} 953.3664189522495 tokens/s

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bigger_is_better

Benchmark suite Current: abc0ceb Previous: d8da97b Ratio
{"name": "request_throughput", "description": "VLLM Engine throughput - synthetic\nmodel - NousResearch/Llama-2-7b-chat-hf\nmax_model_len - 4096\nbenchmark_throughput {\n \"use-all-available-gpus_\": \"\",\n \"input-len\": 256,\n \"output-len\": 128,\n \"num-prompts\": 1000\n}", "gpu_description": "NVIDIA L4 x 1", "vllm_version": "0.5.0", "python_version": "3.11.4 (main, Jun 7 2023, 11:01:02) [GCC 11.3.0]", "torch_version": "2.3.0+cu121"} 2.5041262992031412 prompts/s
{"name": "token_throughput", "description": "VLLM Engine throughput - synthetic\nmodel - NousResearch/Llama-2-7b-chat-hf\nmax_model_len - 4096\nbenchmark_throughput {\n \"use-all-available-gpus_\": \"\",\n \"input-len\": 256,\n \"output-len\": 128,\n \"num-prompts\": 1000\n}", "gpu_description": "NVIDIA L4 x 1", "vllm_version": "0.5.0", "python_version": "3.11.4 (main, Jun 7 2023, 11:01:02) [GCC 11.3.0]", "torch_version": "2.3.0+cu121"} 961.5844988940062 tokens/s

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Benchmark suite Current: abc0ceb Previous: d8da97b Ratio
{"name": "request_throughput", "description": "VLLM Engine throughput - synthetic\nmodel - NousResearch/Llama-2-7b-chat-hf\nmax_model_len - 4096\nbenchmark_throughput {\n \"use-all-available-gpus_\": \"\",\n \"input-len\": 256,\n \"output-len\": 128,\n \"num-prompts\": 1000\n}", "gpu_description": "NVIDIA L4 x 1", "vllm_version": "0.5.0", "python_version": "3.8.17 (default, Jun 7 2023, 12:29:56) \n[GCC 11.3.0]", "torch_version": "2.3.0+cu121"} 2.487430205556322 prompts/s
{"name": "token_throughput", "description": "VLLM Engine throughput - synthetic\nmodel - NousResearch/Llama-2-7b-chat-hf\nmax_model_len - 4096\nbenchmark_throughput {\n \"use-all-available-gpus_\": \"\",\n \"input-len\": 256,\n \"output-len\": 128,\n \"num-prompts\": 1000\n}", "gpu_description": "NVIDIA L4 x 1", "vllm_version": "0.5.0", "python_version": "3.8.17 (default, Jun 7 2023, 12:29:56) \n[GCC 11.3.0]", "torch_version": "2.3.0+cu121"} 955.1731989336275 tokens/s

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Benchmark suite Current: abc0ceb Previous: d8da97b Ratio
{"name": "request_throughput", "description": "VLLM Engine throughput - synthetic\nmodel - NousResearch/Llama-2-7b-chat-hf\nmax_model_len - 4096\nbenchmark_throughput {\n \"use-all-available-gpus_\": \"\",\n \"input-len\": 256,\n \"output-len\": 128,\n \"num-prompts\": 1000\n}", "gpu_description": "NVIDIA L4 x 1", "vllm_version": "0.5.0", "python_version": "3.9.17 (main, Jun 7 2023, 12:34:12) \n[GCC 11.3.0]", "torch_version": "2.3.0+cu121"} 2.4860718116442153 prompts/s 2.4505808553524178 prompts/s 0.99
{"name": "token_throughput", "description": "VLLM Engine throughput - synthetic\nmodel - NousResearch/Llama-2-7b-chat-hf\nmax_model_len - 4096\nbenchmark_throughput {\n \"use-all-available-gpus_\": \"\",\n \"input-len\": 256,\n \"output-len\": 128,\n \"num-prompts\": 1000\n}", "gpu_description": "NVIDIA L4 x 1", "vllm_version": "0.5.0", "python_version": "3.9.17 (main, Jun 7 2023, 12:34:12) \n[GCC 11.3.0]", "torch_version": "2.3.0+cu121"} 954.6515756713787 tokens/s 941.0230484553284 tokens/s 0.99

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