[Benchmark] Do not save detailed info to json by default (#14879)
Signed-off-by: simon-mo <simon.mo@hey.com>
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@ -14,7 +14,8 @@ from tqdm.asyncio import tqdm
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from transformers import (AutoTokenizer, PreTrainedTokenizer,
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PreTrainedTokenizerFast)
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from vllm.model_executor.model_loader.weight_utils import get_lock
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# NOTE(simon): do not import vLLM here so the benchmark script
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# can run without vLLM installed.
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AIOHTTP_TIMEOUT = aiohttp.ClientTimeout(total=6 * 60 * 60)
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@ -427,6 +428,8 @@ def get_model(pretrained_model_name_or_path: str) -> str:
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if os.getenv('VLLM_USE_MODELSCOPE', 'False').lower() == 'true':
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from modelscope import snapshot_download
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from vllm.model_executor.model_loader.weight_utils import get_lock
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# Use file lock to prevent multiple processes from
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# downloading the same model weights at the same time.
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with get_lock(pretrained_model_name_or_path):
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@ -684,6 +684,15 @@ def main(args: argparse.Namespace):
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"Invalid metadata format. Please use KEY=VALUE format."
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)
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if not args.save_detailed:
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# Remove fields with too many data points
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for field in [
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"input_lens", "output_lens", "ttfts", "itls",
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"generated_texts", "errors"
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]:
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if field in result_json:
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del result_json[field]
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# Traffic
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result_json["request_rate"] = (args.request_rate if args.request_rate
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< float("inf") else "inf")
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@ -828,6 +837,12 @@ if __name__ == "__main__":
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action="store_true",
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help="Specify to save benchmark results to a json file",
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)
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parser.add_argument(
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"--save-detailed",
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action="store_true",
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help="When saving the results, whether to include per request "
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"information such as response, error, ttfs, tpots, etc.",
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)
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parser.add_argument(
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"--metadata",
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metavar="KEY=VALUE",
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