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[CUDA] Improve efficiency of tree output renew for L1 regression with new CUDA version #5459

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shiyu1994 opened this issue Sep 1, 2022 · 3 comments
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[CUDA] Improve efficiency of tree output renew for L1 regression with new CUDA version #5459

shiyu1994 opened this issue Sep 1, 2022 · 3 comments
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@shiyu1994
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Summary

Currently the tree output renewing with L1 regression in our new CUDA version relies on percentile calculation and bitonic sort on GPU. The efficiency can be further improved.
@shiyu1994 shiyu1994 mentioned this issue Sep 1, 2022
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shiyu1994 added a commit that referenced this issue Sep 1, 2022
@shiyu1994
remove TODO and document in (#5459)
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@shiyu1994
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Closed in favor of being in #2302. We decided to keep all feature requests in one place.

Welcome to contribute this feature! Please re-open this issue (or post a comment if you are not a topic starter) if you are actively working on implementing this feature.

@shiyu1994
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See #5457

shiyu1994 added a commit that referenced this issue Sep 1, 2022
@shiyu1994
[CUDA] Add L1 regression objective for cuda_exp (#5457)
d78b6bc 
* add (l1) regression objective for cuda_exp

* remove RenewTreeOutputCUDA from CUDARegressionL2loss

* remove mutable and use CUDAVector

* remove white spaces

* remove TODO and document in (#5459)
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This issue has been automatically locked since there has not been any recent activity since it was closed.
To start a new related discussion, open a new issue at https://github.com/microsoft/LightGBM/issues
including a reference to this.

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