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authorGunes Bayir <gunes.bayir@arm.com>2023-10-13 16:58:41 +0100
committerSiCong Li <sicong.li@arm.com>2023-10-31 11:08:15 +0000
commit93a77cd48609277a3849269c4cea5bf4b1ceb76a (patch)
treee0a454b1a3dd5c3998187ce397ba18848ec7ec12 /src/runtime/CL/functions/CLFFTConvolutionLayer.cpp
parentfde45d836cf753a94915ac42d8a13da7edc52221 (diff)
downloadComputeLibrary-93a77cd48609277a3849269c4cea5bf4b1ceb76a.tar.gz
Use dynamic quantization in Convolution and Dilated Convolution tests
This patch calculates the output quantization info based on the inputs' quantization information. The previous approach was using the same quantization information for input, weights and output. This implementation does not cover the cases where we have fused activation function. Resolves: COMPMID-6482 Change-Id: I4a9d87cfef8ad18ef241d457d23f44c8519a1389 Signed-off-by: SiCong Li <sicong.li@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/10541 Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Gunes Bayir <gunes.bayir@arm.com> Benchmark: Arm Jenkins <bsgcomp@arm.com>
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