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From "Denis Davydenko (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (MXNET-1236) MXNet Python Inference Benchmarks and Comparison with Scala Inference Benchmark
Date Mon, 11 Feb 2019 22:06:00 GMT

     [ https://issues.apache.org/jira/browse/MXNET-1236?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Denis Davydenko updated MXNET-1236:
-----------------------------------
    Sprint: Scala/Java 13 (01/14 - 01/28), Scala/Java 14 (01/28 - 02/11), Scala/Java 15 (02/11
- 02/25)  (was: Scala/Java 13 (01/14 - 01/28), Scala/Java 14 (01/28 - 02/11))

> MXNet Python Inference Benchmarks and Comparison with Scala Inference Benchmark
> -------------------------------------------------------------------------------
>
>                 Key: MXNET-1236
>                 URL: https://issues.apache.org/jira/browse/MXNET-1236
>             Project: Apache MXNet
>          Issue Type: Task
>          Components: Apache MXNet Scala API
>            Reporter: Piyush Ghai
>            Assignee: Andrew Ayres
>            Priority: Minor
>
> The goal of this story is to capture the inference performance using a pre-trained model
for MXNet with inference being performed via Python APIs.
>  
> The metrics that need to be captured are Latencies : p50, p90, p99. Throughput, memory
consumption (CPU/GPU). 
>  



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