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Try using latest cu(DNN) binaries #1836

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merged 1 commit into from
Jan 15, 2022
Merged

Try using latest cu(DNN) binaries #1836

merged 1 commit into from
Jan 15, 2022

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ToucheSir
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Possible alternative to #1822.

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bors try

bors bot added a commit that referenced this pull request Jan 15, 2022
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Try #1836:
3abd317
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bors bot commented Jan 15, 2022

try

Build succeeded:

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bors r+

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Merge #1836
5108ab2 
1836: Try using latest cu(DNN) binaries r=ToucheSir a=ToucheSir

Possible alternative to #1822.

Co-authored-by: Brian Chen <ToucheSir@users.noreply.github.com>
@DhairyaLGandhi
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DhairyaLGandhi commented Jan 15, 2022 •
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Was there some background to this? Is there something about the cudnn we were using causing this?

@DhairyaLGandhi DhairyaLGandhi marked this pull request as ready for review January 15, 2022 19:54
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bors r-

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bors bot commented Jan 15, 2022

Canceled.

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DhairyaLGandhi approved these changes Jan 15, 2022
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bors r+

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Testing whether this note from https://docs.nvidia.com/deeplearning/cudnn/release-notes/rel_8.html#rel-830 applies:

In some cases, cudnnConvolutionBackwardFilter() generates numerically imprecise results when used with algo set to CUDNN_CONVOLUTION_BWD_FILTER_ALGO_1. This issue is most frequently encountered with three dimensional spatial tensors. Users of the backend API may explicitly avoid backend engine 2032 or consider the numerical notes of engines and reject any marked as offering reduced precision reduction (CUDNN_NUMERICAL_NOTE_REDUCED_PRECISION_REDUCTION).

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bors bot commented Jan 15, 2022

Build succeeded:

@bors bors bot merged commit 9c789dc into master Jan 15, 2022
This was referenced Jan 15, 2022
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@ToucheSir ToucheSir deleted the bc/buildkite-latest-cuda branch January 15, 2022 23:53
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@ToucheSir @DhairyaLGandhi