[Wait for #2615][Layer] Enable mixed precision - pooling2d_layer

nnstreamer / nntrainer

NNtrainer is Software Framework for Training Neural Network Models on Devices.

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[Wait for #2615][Layer] Enable mixed precision - pooling2d_layer #2613

Open DonghakPark opened 1 month ago

DonghakPark commented 1 month ago

[Layer] Enable mixed precision - pooling2d_layer

Enable Mixed precision on Pooling 2D Layer

I modified it to properly cast for the case of FP16 so that the mixed precision function can be activated on the existing pooling 2d layer.

Self evaluation:

Build test: [X]Passed [ ]Failed [ ]Skipped
Run test: [X]Passed [ ]Failed [ ]Skipped

Signed-off-by: Donghak PARK donghak.park@samsung.com

taos-ci commented 1 month ago

:memo: TAOS-CI Version: 1.5.20200925. Thank you for submitting PR #2613. Please a submit 1commit/1PR (one commit per one PR) policy to get comments quickly from reviewers. Your PR must pass all verificiation processes of cibot before starting a review process from reviewers. If you are new member to join this project, please read manuals in documentation folder and wiki page. In order to monitor a progress status of your PR in more detail, visit http://ci.nnstreamer.ai/.

taos-ci commented 1 month ago

:octocat: cibot: @DonghakPark, A builder checker could not be completed because one of the checkers is not completed. In order to find out a reason, please go to http://ci.nnstreamer.ai/nntrainer/ci/repo-workers/pr-checker/2613-202406031530570.54768109321594-b6710edddeea052afe4b36c070015a8013dab4a8/.

taos-ci commented 4 weeks ago

:octocat: cibot: @DonghakPark, A builder checker could not be completed because one of the checkers is not completed. In order to find out a reason, please go to http://ci.nnstreamer.ai/nntrainer/ci/repo-workers/pr-checker/2613-202406051705160.20394396781921-1d9af0dc8cb5aab1dba2f4530698b93f64529f23/.