commit | ed4b8a07e67c7802207c8954a88ad7a91aec79e0 | [log] [tgz] |
---|---|---|
author | Giorgio Arena <giorgio.arena@arm.com> | Wed May 12 12:28:58 2021 +0100 |
committer | Georgios Pinitas <georgios.pinitas@arm.com> | Mon May 17 09:02:15 2021 +0000 |
tree | 771cb0867fa675cf02286006f7fafa2f66a814e2 | |
parent | 186fe683da63dea2dac06e46a412e354d33cd9c2 [diff] |
Fix MeanStdDevNormalizationLayer reference outputting nan for FP16 - Bring the epsilon up to 1e-3 for FP16 (both backends) since it was causing the reference's variance being negative and its square root being NaN - Bring the epsilon up to 1e-7 for FP16 NEON test for the same problem on the NEON kernel - Adjust the CL kernel's vec_size when input tensor's width < 16 and use macros agnostic of vector size for sum reduction - Add previously mismatching tensor shapes Resolve COMPMID-4354 Change-Id: I823c871aacb72326f90c86b24cb16c3e2d4bd15e Signed-off-by: Giorgio Arena <giorgio.arena@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5630 Tested-by: Arm Jenkins <bsgcomp@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
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