pytorch/serve

Confused about Cumulative Inference Duration vs. PredictionTime

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#1,698 opened on 2022年6月20日

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help wantedquestion

説明

📚 The doc issue

I am running a model on TorchServe and I am trying to see how long it takes for inference. If I use logging and view the logs, then I can see there is something called PredictionTime: image

However, if I use the Metrics API, then I got something called "Cumulative Inference Duration" image

And in terms of values those 2 are very different. So I am not sure which one should I use to measure the total inference time for my requests?

Btw, there is also something else called HandlerTime in the logs image

What does it mean? Where can I find related information about what are the meanings of these metrics?

Thanks,

Suggest a potential alternative/fix

No response

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技術スタック
pythonpytorch
領域
documentation
Issue 種別
documentation
難度新しい貢献者にとっての実装難度です。1 は非常に小さな変更、5 は専門的な作業です。
2
推定時間経験ある貢献者が調査、実装、テスト、pull request 準備にかけるおおよその時間範囲です。
1-3 hours
活動状況Issue が今どれだけ取り組みやすいかを示します。新しい、活発、古い、ブロック中、またはメンテナー入力待ちなどです。
needs maintainer response
明確さ期待される変更、受け入れ条件、次の手順がどれだけ明確かを示します。
mostly clear
前提条件
なし
初心者向け度初回貢献者にどれだけ取り組みやすいかを 1-100 で推定したスコアです。
40
調査方針
The user is confused about the difference between PredictionTime, Cumulative Inference Duration, and HandlerTime metrics. To clarify, one should look at the TorchServe metrics documentation (e.g., docs/metrics.md) and the source code where these metrics are logged (e.g., ts/metrics.py or ts/handler.py). A maintainer should explain which metric corresponds to request level inference time and how they relate to each other.