aboutsummaryrefslogtreecommitdiff
path: root/tests/validation/NEON/ConvolutionLayer.cpp
diff options
context:
space:
mode:
authorGeorgios Pinitas <georgios.pinitas@arm.com>2018-06-08 18:33:31 +0100
committerAnthony Barbier <anthony.barbier@arm.com>2018-11-02 16:52:54 +0000
commit8dea60227d00544ed79fd512d8c3de07744b7c01 (patch)
tree52ac8bb2b1adc0f56b81abc1ac3220d701d825f1 /tests/validation/NEON/ConvolutionLayer.cpp
parentaaab60220085e2df5f13d7fe020a45a335df38be (diff)
downloadComputeLibrary-8dea60227d00544ed79fd512d8c3de07744b7c01.tar.gz
COMPMID-1273: Nightly : NEON GEMMConvolutionLayer FP32 mismatch
Change-Id: I8556132aafb1ab7d4ac60631980d437b13bb0097 Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/134865 Tested-by: Jenkins <bsgcomp@arm.com> Reviewed-by: Anthony Barbier <anthony.barbier@arm.com>
Diffstat (limited to 'tests/validation/NEON/ConvolutionLayer.cpp')
-rw-r--r--tests/validation/NEON/ConvolutionLayer.cpp11
1 files changed, 6 insertions, 5 deletions
diff --git a/tests/validation/NEON/ConvolutionLayer.cpp b/tests/validation/NEON/ConvolutionLayer.cpp
index 142b335849..b286eb61b6 100644
--- a/tests/validation/NEON/ConvolutionLayer.cpp
+++ b/tests/validation/NEON/ConvolutionLayer.cpp
@@ -47,7 +47,8 @@ namespace validation
{
namespace
{
-const AbsoluteTolerance<float> tolerance_f32(0.002f); /**< Tolerance value for comparing reference's output against implementation's output for DataType::F32 */
+RelativeTolerance<float> rel_tolerance_f32(0.01f); /**< Relative tolerance for FP32 types */
+const AbsoluteTolerance<float> abs_tolerance_f32(0.002f); /**< Absolute tolerance for FP32 types */
#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
const AbsoluteTolerance<float> tolerance_f16(0.01f); /**< Tolerance value for comparing reference's output against implementation's output for DataType::F16 */
#endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */
@@ -127,7 +128,7 @@ FIXTURE_DATA_TEST_CASE(RunSmall, NEWinogradConvolutionLayerFixture<float>, frame
ActivationFunctionsDataset))
{
// Validate output
- validate(Accessor(_target), _reference, tolerance_f32);
+ validate(Accessor(_target), _reference, abs_tolerance_f32);
}
FIXTURE_DATA_TEST_CASE(RunSmallNoBias, NEWinogradConvolutionLayerNoBiasFixture<float>, framework::DatasetMode::PRECOMMIT,
@@ -137,7 +138,7 @@ FIXTURE_DATA_TEST_CASE(RunSmallNoBias, NEWinogradConvolutionLayerNoBiasFixture<f
ActivationFunctionsDataset))
{
// Validate output
- validate(Accessor(_target), _reference, tolerance_f32);
+ validate(Accessor(_target), _reference, abs_tolerance_f32);
}
TEST_SUITE_END()
@@ -228,7 +229,7 @@ FIXTURE_DATA_TEST_CASE(RunSmall, NEGEMMConvolutionLayerFixture<float>, framework
ActivationFunctionsDataset))
{
// Validate output
- validate(Accessor(_target), _reference, tolerance_f32);
+ validate(Accessor(_target), _reference, rel_tolerance_f32, 0.f, float(abs_tolerance_f32));
}
FIXTURE_DATA_TEST_CASE(RunLarge, NEGEMMConvolutionLayerFixture<float>, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::LargeConvolutionLayerDataset(),
framework::dataset::make("ReshapeWeights", { true })),
@@ -237,7 +238,7 @@ FIXTURE_DATA_TEST_CASE(RunLarge, NEGEMMConvolutionLayerFixture<float>, framework
ActivationFunctionsDataset))
{
// Validate output
- validate(Accessor(_target), _reference, tolerance_f32);
+ validate(Accessor(_target), _reference, rel_tolerance_f32, 0.f, float(abs_tolerance_f32));
}
TEST_SUITE_END()
TEST_SUITE_END()