diff options
Diffstat (limited to 'tests/validation/CL')
| -rw-r--r-- | tests/validation/CL/DilatedConvolutionLayer.cpp | 13 |
1 files changed, 7 insertions, 6 deletions
diff --git a/tests/validation/CL/DilatedConvolutionLayer.cpp b/tests/validation/CL/DilatedConvolutionLayer.cpp index d7642eb172..9ebde38bcf 100644 --- a/tests/validation/CL/DilatedConvolutionLayer.cpp +++ b/tests/validation/CL/DilatedConvolutionLayer.cpp @@ -43,11 +43,12 @@ namespace validation { namespace { -RelativeTolerance<float> rel_tolerance_f32(0.05f); /**< Tolerance value for comparing reference's output against implementation's output for DataType::F32 */ -RelativeTolerance<half_float::half> rel_tolerance_f16(half_float::half(0.2)); /**< Tolerance value for comparing reference's output against implementation's output for DataType::F16 */ -constexpr AbsoluteTolerance<float> abs_tolerance_qasymm8(0.0); /**< Tolerance value for comparing reference's output against implementation's output for quantized data types */ -constexpr float abs_tolerance_f32 = 0.001f; /**< Tolerance number */ -constexpr float abs_tolerance_f16 = 0.07f; /**< Tolerance number */ +RelativeTolerance<float> rel_tolerance_f32(0.05f); /**< Relative tolerance value for comparing reference's output against implementation's output for DataType::F32 */ +RelativeTolerance<half_float::half> rel_tolerance_f16(half_float::half(0.2)); /**< Relative tolerance value for comparing reference's output against implementation's output for DataType::F16 */ +constexpr AbsoluteTolerance<float> abs_tolerance_qasymm8(0.0); /**< Relative tolerance value for comparing reference's output against implementation's output for quantized data types */ +constexpr float abs_tolerance_f32 = 0.001f; /**< Absolute tolerance value for comparing reference's output against implementation's output for DataType::F32 */ +constexpr float abs_tolerance_f16 = 0.3f; /**< Absolute tolerance value for comparing reference's output against implementation's output for DataType::F16 */ +constexpr float tolerance_num_f16 = 0.07f; /**< Tolerance number for FP16 */ /** CNN data types */ const auto CNNDataTypes = framework::dataset::make("DataType", @@ -177,7 +178,7 @@ FIXTURE_DATA_TEST_CASE(RunLarge, CLGEMMDilatedConvolutionLayerFixture<half>, fra framework::dataset::make("ActivationLayerInfo", ActivationLayerInfo()))) { // Validate output - validate(CLAccessor(_target), _reference, rel_tolerance_f16, 0.0f, abs_tolerance_f16); + validate(CLAccessor(_target), _reference, rel_tolerance_f16, tolerance_num_f16); } TEST_SUITE_END() |