diff options
Diffstat (limited to 'tests/validation/CL')
-rw-r--r-- | tests/validation/CL/ConvolutionLayer.cpp | 8 | ||||
-rw-r--r-- | tests/validation/CL/FullyConnectedLayer.cpp | 6 | ||||
-rw-r--r-- | tests/validation/CL/GEMM.cpp | 11 | ||||
-rw-r--r-- | tests/validation/CL/Scale.cpp | 4 |
4 files changed, 15 insertions, 14 deletions
diff --git a/tests/validation/CL/ConvolutionLayer.cpp b/tests/validation/CL/ConvolutionLayer.cpp index b2fd22eaee..a6e07248aa 100644 --- a/tests/validation/CL/ConvolutionLayer.cpp +++ b/tests/validation/CL/ConvolutionLayer.cpp @@ -43,10 +43,10 @@ namespace validation { namespace { -RelativeTolerance<float> tolerance_f32(0.001f); /**< Tolerance value for comparing reference's output against implementation's output for DataType::F32 */ -RelativeTolerance<half> tolerance_f16(half(0.2)); /**< Tolerance value for comparing reference's output against implementation's output for DataType::F16 */ -constexpr AbsoluteTolerance<float> tolerance_q(1.0f); /**< Tolerance value for comparing reference's output against implementation's output for fixed point data types */ -constexpr float tolerance_num = 0.07f; /**< Tolerance number */ +RelativeTolerance<float> tolerance_f32(0.05f); /**< Tolerance value for comparing reference's output against implementation's output for DataType::F32 */ +RelativeTolerance<half_float::half> tolerance_f16(half_float::half(0.2)); /**< Tolerance value for comparing reference's output against implementation's output for DataType::F16 */ +constexpr AbsoluteTolerance<float> tolerance_q(1.0f); /**< Tolerance value for comparing reference's output against implementation's output for fixed point data types */ +constexpr float tolerance_num = 0.07f; /**< Tolerance number */ /** CNN data types */ const auto CNNDataTypes = framework::dataset::make("DataType", diff --git a/tests/validation/CL/FullyConnectedLayer.cpp b/tests/validation/CL/FullyConnectedLayer.cpp index 22f27e56dd..35b9d2938b 100644 --- a/tests/validation/CL/FullyConnectedLayer.cpp +++ b/tests/validation/CL/FullyConnectedLayer.cpp @@ -43,9 +43,9 @@ namespace validation namespace { /** Tolerance for float operations */ -RelativeTolerance<float> tolerance_f32(0.001f); -RelativeTolerance<half> tolerance_f16(half(0.2)); -constexpr float tolerance_num = 0.07f; /**< Tolerance number */ +RelativeTolerance<float> tolerance_f32(0.05f); +RelativeTolerance<half_float::half> tolerance_f16(half(0.2)); +constexpr float tolerance_num = 0.07f; /**< Tolerance number */ /** Tolerance for fixed point operations */ constexpr AbsoluteTolerance<float> tolerance_fixed_point(1.f); diff --git a/tests/validation/CL/GEMM.cpp b/tests/validation/CL/GEMM.cpp index 854551917e..62671e34d7 100644 --- a/tests/validation/CL/GEMM.cpp +++ b/tests/validation/CL/GEMM.cpp @@ -43,9 +43,10 @@ namespace validation { namespace { -RelativeTolerance<float> tolerance_f32(0.001f); /**< Tolerance value for comparing reference's output against implementation's output for floating point data types */ -RelativeTolerance<half> tolerance_f16(half(0.2)); /**< Tolerance value for comparing reference's output against implementation's output for floating point data types */ -constexpr AbsoluteTolerance<float> tolerance_q(1.0f); /**< Tolerance value for comparing reference's output against implementation's output for fixed point data types */ +RelativeTolerance<float> tolerance_f32(0.001f); /**< Tolerance value for comparing reference's output against implementation's output for floating point data types */ +RelativeTolerance<half_float::half> tolerance_f16(half(0.2)); /**< Tolerance value for comparing reference's output against implementation's output for floating point data types */ +constexpr AbsoluteTolerance<float> tolerance_q(1.0f); /**< Tolerance value for comparing reference's output against implementation's output for fixed point data types */ +constexpr float tolerance_num = 0.02f; /**< Tolerance number */ /** CNN data types */ const auto CNNDataTypes = framework::dataset::make("DataType", @@ -92,13 +93,13 @@ TEST_SUITE(FP16) FIXTURE_DATA_TEST_CASE(RunSmall, CLGEMMFixture<half>, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallGEMMDataset(), framework::dataset::make("DataType", DataType::F16))) { // Validate output - validate(CLAccessor(_target), _reference, tolerance_f16); + validate(CLAccessor(_target), _reference, tolerance_f16, tolerance_num); } FIXTURE_DATA_TEST_CASE(RunLarge, CLGEMMFixture<half>, framework::DatasetMode::NIGHTLY, combine(datasets::LargeGEMMDataset(), framework::dataset::make("DataType", DataType::F16))) { // Validate output - validate(CLAccessor(_target), _reference, tolerance_f16); + validate(CLAccessor(_target), _reference, tolerance_f16, tolerance_num); } TEST_SUITE_END() diff --git a/tests/validation/CL/Scale.cpp b/tests/validation/CL/Scale.cpp index 6757bd5ee3..1a458b7a08 100644 --- a/tests/validation/CL/Scale.cpp +++ b/tests/validation/CL/Scale.cpp @@ -57,14 +57,14 @@ const auto ScaleDataTypes = framework::dataset::make("DataType", /** Tolerance */ constexpr AbsoluteTolerance<uint8_t> tolerance_u8(1); constexpr AbsoluteTolerance<int16_t> tolerance_s16(1); -RelativeTolerance<float> tolerance_f32(0.01); +RelativeTolerance<float> tolerance_f32(0.05); RelativeTolerance<half> tolerance_f16(half(0.1)); } // namespace TEST_SUITE(CL) TEST_SUITE(Scale) -DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), ScaleDataTypes), +DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(combine(concat(datasets::MediumShapes(), datasets::LargeShapes()), ScaleDataTypes), framework::dataset::make("InterpolationPolicy", { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })), datasets::BorderModes()), shape, data_type, policy, border_mode) |