tree f79e50e438fb4340c14f9de50e89d6112d7137e9
parent c7799a79a0dc2597423ea4733dbbd6280c0b5086
author Gunes Bayir <gunes.bayir@arm.com> 1676027257 +0000
committer Jakub Sujak <jakub.sujak@arm.com> 1676039933 +0000

Fix DeconvolutionLayer tolerance issues in FP16 tests

This patch increases the tolerance value used for FP16 tests in Neon(TM) backend. The tolerance number means 0.01f means it is ok to have 1% mismatch in the resulting tensor between the reference and the target. The value adopts a slightly stricter threshold compared to ConvolutionLayer (which is currently at 7%). This increase makes sense because Deconvolution layer uses convolution under the hood.

Resolves: COMPMID-5841
Signed-off-by: Gunes Bayir <gunes.bayir@arm.com>
Change-Id: Ie0ebf5cce1e9753dc641a947d84128dd6da402d4
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/9120
Reviewed-by: Jakub Sujak <jakub.sujak@arm.com>
Reviewed-by: Pablo Marquez Tello <pablo.tello@arm.com>
Reviewed-by: Sang Won Ha
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Benchmark: Arm Jenkins <bsgcomp@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>