commit | 75041a1cb81c59a5a5ddd9b708476c0142362d9e | [log] [tgz] |
---|---|---|
author | SiCong Li <sicong.li@arm.com> | Tue Nov 05 10:43:06 2019 +0000 |
committer | SiCong Li <sicong.li@arm.com> | Tue Nov 12 09:52:55 2019 +0000 |
tree | 5ef625879aaa35c757ee4070f753f769f4362011 | |
parent | 77d42528b796f3b8f5033785d3bbb8d9cb3fc637 [diff] |
COMPMID-2563 Change how the best overall GEMM configuration is selected * Based on a specified tolerance, each GEMMParam (GEMM Shape) now can have a set of best GEMM configurations, instead of just a single one. This improves the robustness and completeness of the tuned results, and is in compliance with how we define the GEMMParam archetypes (the main goal of this story) * The tuner then tries to find the best overall GEMMConfig, from all the best config sets, through the same voting mechanism: the config that gets voted the most is the best overall GEMMConfig. Change-Id: Ief770bb6ffc04629d91f1dc778eea69274e007f0 Signed-off-by: SiCong Li <sicong.li@arm.com> Reviewed-on: https://review.mlplatform.org/c/2228 Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Gian Marco Iodice <gianmarco.iodice@arm.com>
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