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authorGiorgio Arena <giorgio.arena@arm.com>2021-02-04 15:59:03 +0000
committerGiorgio Arena <giorgio.arena@arm.com>2021-02-04 17:12:02 +0000
commit89de118ccbebd5a943634137d0c160d4867da49c (patch)
tree27e9919b28fd062a4257e9baf9a7df7d1279ca01
parent76cb75103255b9af62a0b6744b6141ae4b542546 (diff)
downloadComputeLibrary-89de118ccbebd5a943634137d0c160d4867da49c.tar.gz
Fix unused variable compilation error
Resolve: COMPMID-4236 Signed-off-by: Giorgio Arena <giorgio.arena@arm.com> Change-Id: Iaa64295c0155d3cdac6e53724c6c9674df790ee0 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/4998 Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com>
-rw-r--r--tests/validation/CL/DirectConvolutionLayer.cpp9
1 files changed, 4 insertions, 5 deletions
diff --git a/tests/validation/CL/DirectConvolutionLayer.cpp b/tests/validation/CL/DirectConvolutionLayer.cpp
index 3a6cacc0ba..e244576daf 100644
--- a/tests/validation/CL/DirectConvolutionLayer.cpp
+++ b/tests/validation/CL/DirectConvolutionLayer.cpp
@@ -43,11 +43,10 @@ namespace validation
{
namespace
{
-RelativeTolerance<half> tolerance_fp16(half(0.2)); /**< Tolerance for floating point tests */
-RelativeTolerance<float> tolerance_fp32(0.05f); /**< Tolerance for floating point tests */
-AbsoluteTolerance<float> tolerance_fp32_abs(0.0003f); /**< Absolute Tolerance for floating point tests */
-constexpr float tolerance_num = 0.07f; /**< Tolerance number */
-constexpr AbsoluteTolerance<uint8_t> tolerance_qasymm8(1); /**< Tolerance for quantized tests */
+RelativeTolerance<half> tolerance_fp16(half(0.2)); /**< Tolerance for floating point tests */
+RelativeTolerance<float> tolerance_fp32(0.05f); /**< Tolerance for floating point tests */
+constexpr float tolerance_num = 0.07f; /**< Tolerance number */
+constexpr AbsoluteTolerance<uint8_t> tolerance_qasymm8(1); /**< Tolerance for quantized tests */
const auto data_strides = combine(framework::dataset::make("StrideX", 1, 3), framework::dataset::make("StrideY", 1, 3));
const auto data_strides_small = combine(framework::dataset::make("StrideX", 1), framework::dataset::make("StrideY", 1));