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Posted to issues@mxnet.apache.org by "Denis Davydenko (JIRA)" <ji...@apache.org> on 2019/02/11 22:06:00 UTC
[jira] [Updated] (MXNET-1236) MXNet Python Inference Benchmarks and
Comparison with Scala Inference Benchmark
[ 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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