tree 501cc20a0f878e5d7542977180c843b1b7778784
parent 1257131193fdb9b6940055a41691320e37a208b5
author Murray Kornelsen <murray.kornelsen@mail.mcgill.ca> 1658527499 -0400
committer Pablo Marquez Tello <pablo.tello@arm.com> 1662115446 +0000

F16 Specialization for MeanStdDevNorm

Ran into issues with f16 meanstddevnorm. Essentially, with large enough tensors and/or large values in tensors, output becomes all 0.
This is due to the variance computation. In f16, it reaches infinity quite easily, then the division results in 0.

This change modifies the OpenCL and NEON implementations to compute the sum of squares and the variance using f32, while other operations remain f16.

Update: Found that the square operation also benefits from f32, rather than squaring in f16 and accumulating f32.

Signed-off-by: Murray Kornelsen <murray.kornelsen@mail.mcgill.ca>
Change-Id: Ide00afd84ec6d26fec4d53b073e295814f08ba46
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/7959
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Gian Marco Iodice <gianmarco.iodice@arm.com>
Comments-Addressed: Pablo Marquez Tello <pablo.tello@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Benchmark: Arm Jenkins <bsgcomp@arm.com>