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Run fluid models and update current dist train performance result #9401
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I will add performance about image_classification. |
Me and @helinwang will take sequence_tagging_for_ner |
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. |
@wangkuiyi sure! I will move perf tests to CI system once we have the baseline updated. |
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 I will add more docs latter about the branches and how the TeamCity works with it. |
@wangkuiyi We plan to add later #9046 (comment) |
@putcn I'm currently working on sequence_tagging_for_ner perf data now |
@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. |
Thanks! @putcn |
We need to update performance results under
benchmark/cluster
to add different models:codes:
https://github.com/PaddlePaddle/models/tree/develop/fluid
Result metrics:
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