COMPMID-415: Use absolute and relative tolerance
Change-Id: Ib779fa307e05fa67172ddaf521239b4c746debc8
Reviewed-on: http://mpd-gerrit.cambridge.arm.com/82229
Reviewed-by: Anthony Barbier <anthony.barbier@arm.com>
Tested-by: Kaizen <jeremy.johnson+kaizengerrit@arm.com>
diff --git a/tests/validation_new/NEON/ConvolutionLayer.cpp b/tests/validation_new/NEON/ConvolutionLayer.cpp
index af33cc0..1efff02 100644
--- a/tests/validation_new/NEON/ConvolutionLayer.cpp
+++ b/tests/validation_new/NEON/ConvolutionLayer.cpp
@@ -44,11 +44,11 @@
{
namespace
{
-const float tolerance_f32 = 1e-03f; /**< Tolerance value for comparing reference's output against implementation's output for DataType::F32 */
+const AbsoluteTolerance<float> tolerance_f32(0.001f); /**< Tolerance value for comparing reference's output against implementation's output for DataType::F32 */
#ifdef ARM_COMPUTE_ENABLE_FP16
-const float tolerance_f16 = 0.01f; /**< Tolerance value for comparing reference's output against implementation's output for DataType::F16 */
-#endif /* ARM_COMPUTE_ENABLE_FP16 */
-const float tolerance_q = 1.0f; /**< Tolerance value for comparing reference's output against implementation's output for fixed point data types */
+const AbsoluteTolerance<float> tolerance_f16(0.01f); /**< Tolerance value for comparing reference's output against implementation's output for DataType::F16 */
+#endif /* ARM_COMPUTE_ENABLE_FP16 */
+const AbsoluteTolerance<float> tolerance_q(1.0f); /**< Tolerance value for comparing reference's output against implementation's output for fixed point data types */
/** CNN data types */
const auto CNNDataTypes = framework::dataset::make("DataType",