### What this PR does / why we need it?
This PR adds vllm bench common method, we need it to add some test cases
later
### Does this PR introduce _any_ user-facing change?
No
### How was this patch tested?
by running the test
- vLLM version: release/v0.13.0
- vLLM main:
5fbfa8d9ef
---------
Signed-off-by: jiangyunfan1 <jiangyunfan1@h-partners.com>
126 lines
4.6 KiB
Python
126 lines
4.6 KiB
Python
# Copyright (c) 2025 Huawei Technologies Co., Ltd. All Rights Reserved.
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# Copyright 2023 The vLLM team.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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# This file is a part of the vllm-ascend project.
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#
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import json
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import logging
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import os
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import subprocess
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from datetime import datetime
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from .aisbench import maybe_download_from_modelscope
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class VllmbenchRunner:
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def _run_vllm_bench_task(self):
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vllm_bench_cmd = [
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'vllm', 'bench', 'serve', '--backend', 'openai-chat',
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'--trust-remote-code', '--served-model-name',
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str(self.model_name), '--model', self.model_path, '--tokenizer',
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self.model_path, '--metric-percentiles', '50,90,99', '--host',
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self.host_ip, '--port',
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str(self.port), '--save-result', '--result-filename',
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self.result_filename, '--endpoint', '/v1/chat/completions',
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'--ready-check-timeout-sec', '0'
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]
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self._concat_config_args(vllm_bench_cmd)
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print(f"running vllm_bench cmd: {' '.join(vllm_bench_cmd)}")
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self.proc: subprocess.Popen = subprocess.Popen(vllm_bench_cmd,
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stdout=subprocess.PIPE,
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stderr=subprocess.PIPE,
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text=True)
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def __init__(self,
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model_name: str,
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port: int,
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config: dict,
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model_path: str = "",
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host_ip: str = "localhost"):
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self.model_name = model_name
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self.model_path = model_path
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if not self.model_path:
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self.model_path = maybe_download_from_modelscope(model_name)
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assert self.model_path is not None, \
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f"Failed to download model: model={self.model_path}"
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self.port = port
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self.host_ip = host_ip
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curr_time = datetime.now().strftime('%Y%m%d%H%M%S')
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self.result_filename = f"result_vllm_bench_{curr_time}.json"
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self.config = config
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self._run_vllm_bench_task()
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self._wait_for_task()
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self._get_result()
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def _concat_config_args(self, vllm_bench_cmd):
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if "ignore_eos" in self.config:
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if self.config["ignore_eos"]:
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self.config["ignore_eos"] = ""
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else:
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self.config.pop("ignore_eos")
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for key, value in self.config.items():
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key = "--" + key.replace("_", "-")
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vllm_bench_cmd += [key, str(value)]
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def __enter__(self):
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return self
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def __exit__(self, exc_type, exc_value, traceback):
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self.proc.terminate()
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try:
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self.proc.wait(8)
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except subprocess.TimeoutExpired:
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# force kill if needed
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self.proc.kill()
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def _wait_for_task(self):
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result_msg = "========================="
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while True:
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line = self.proc.stdout.readline().strip()
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if line:
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print(line)
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if result_msg in line:
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return
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if "ERROR" in line:
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error_msg = f"Some errors happened to vllm_bench runtime, the first error is {line}"
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raise RuntimeError(error_msg) from None
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def _get_result(self):
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result_file = os.path.join(os.getcwd(), self.result_filename)
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print("Getting performance results from file: ", result_file)
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with open(result_file, 'r', encoding='utf-8') as f:
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self.result = json.load(f)
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def run_vllm_bench_case(model_name,
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port,
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config,
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model_path="",
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host_ip="localhost"):
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try:
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with VllmbenchRunner(model_name,
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port,
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config,
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model_path=model_path,
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host_ip=host_ip) as vllm_bench:
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vllm_bench_result = vllm_bench.result
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except Exception as e:
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print(e)
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error_msg = f"vllm_bench run failed, reason is {e}"
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logging.error(error_msg)
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assert False, f"vllm_bench run failed, reason is {e}"
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return vllm_bench_result
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