pytorch/serve

Confused about Cumulative Inference Duration vs. PredictionTime

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Aperta il 20 giu 2022

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help wantedquestion

Descrizione

📚 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,

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Tech stack
pythonpytorch
Dominio
documentation
Tipo issue
documentation
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2
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1-3 hours
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needs maintainer response
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mostly clear
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Direzione di ricerca
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.