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use host_processors_per_node in final report by guschmue · Pull Request #897 · mlcommons/inference · GitHub

use host_processors_per_node in final report - #897

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christ1ne merged 4 commits into
r1.0from
gs/fix-num-proc
Apr 6, 2021
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use host_processors_per_node in final report#897
christ1ne merged 4 commits into
r1.0from
gs/fix-num-proc

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github-actions Bot commented Mar 30, 2021
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MLCommons CLA bot All contributors have signed the MLCommons CLA ✍️ ✅

guschmue requested a review from christ1ne March 30, 2021 14:55

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@guschmue should it be number_of_nodes * host_processors_per_node to be future proof on multi-node submissions?

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I could change it. But if I look at the nvidia results in 0.7 we have not done it there
https://mlperf.org/inference-results-0-7
But since number of nodes is not in the results table I guess we should.

guschmue commented Apr 5, 2021

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ok, dividing by node count now.

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@guschmue should it be number_of_nodes * host_processors_per_node instead of number_of_nodes / host_processors_per_node? thanks!

guschmue commented Apr 6, 2021

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ups. fixed. In practice for inference num_nodes is so far always 1 - would be hard to do multi node because of loadgen.

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agree. :)

christ1ne merged commit 8b58587 into r1.0 Apr 6, 2021
github-actions Bot locked and limited conversation to collaborators Apr 6, 2021
guschmue deleted the gs/fix-num-proc branch July 12, 2021 15:23
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