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Run fluid models and update current dist train performance result #9401

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typhoonzero opened this issue Mar 27, 2018 · 11 comments
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Run fluid models and update current dist train performance result #9401

typhoonzero opened this issue Mar 27, 2018 · 11 comments
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@typhoonzero
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typhoonzero commented Mar 27, 2018

We need to update performance results under benchmark/cluster to add different models:

codes:

https://github.com/PaddlePaddle/models/tree/develop/fluid

Result metrics:

  • speed of local mode
  • dist mode speed up percentage (CPU/GPU)
@seiriosPlus
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I will add performance about image_classification.

@putcn
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putcn commented Mar 27, 2018

Me and @helinwang will take sequence_tagging_for_ner

@wangkuiyi
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Could we do these performance evaluation via the continuous evaluation system developed by @Superjomn ? If so, it seems that the results will be continuously updated and could be shared publicly.

@typhoonzero
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@wangkuiyi sure! I will move perf tests to CI system once we have the baseline updated.

@Superjomn
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Superjomn commented Mar 28, 2018

yes, the CE is already online for testing. http://yq01-sys-hic-v100-box-a223-0007.yq01.baidu.com:8111/

One can reference https://github.com/PaddlePaddle/MacroCE/blob/develop/doc/howto.md and PR to https://github.com/Superjomn/paddle-modelci-baseline/tree/fast, the fast branch to add more evaluations. @wangkuiyi @typhoonzero

I will add more docs latter about the branches and how the TeamCity works with it.

@gongweibao
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@wangkuiyi We plan to add later #9046 (comment)

@typhoonzero
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@typhoonzero
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@putcn I'm currently working on sequence_tagging_for_ner perf data now

@putcn
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putcn commented Apr 9, 2018

@typhoonzero sorry I was working on aws tool, and thanks for taking this over. I made some progress on ner test, please refer to https://github.com/putcn/Paddle/tree/benchmark_cluster_ner if you need anything.

@typhoonzero
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Thanks! @putcn

@typhoonzero
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typhoonzero commented Apr 10, 2018

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