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authorGunes Bayir <gunes.bayir@arm.com>2023-02-10 11:07:37 +0000
committerGunes Bayir <gunes.bayir@arm.com>2023-02-10 14:29:57 +0000
commitf4230aafcc106305d4da9798bd5211fe7a7809ea (patch)
treefa1b7f1cd98f730206106c4020f1fe62a62224f6 /docs/user_guide/release_version_and_change_log.dox
parent06db85ed4ca0b3f4ee525787cb17a814a89006ce (diff)
downloadComputeLibrary-f4230aafcc106305d4da9798bd5211fe7a7809ea.tar.gz
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>
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