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| author | Gian Marco Iodice <gianmarco.iodice@arm.com> | 2018-08-17 11:02:54 +0100 |
|---|---|---|
| committer | Anthony Barbier <anthony.barbier@arm.com> | 2018-11-02 16:54:54 +0000 |
| commit | bcafc4d343338a2b88027a02e5abdf9cd8082f46 (patch) | |
| tree | e7628cec58d0f70f15d5d17a257de54a61ac9211 /tests/validation/CL/DilatedConvolutionLayer.cpp | |
| parent | 2a2db590fd179dcb8e1a575293cd2b887e2dc246 (diff) | |
| download | ComputeLibrary-bcafc4d343338a2b88027a02e5abdf9cd8082f46.tar.gz | |
COMPMID-1486 - CLGEMMDilatedConvolutionLayer FP16 / FP32 failing in nightlies
Tolerance issue
Change-Id: I50f05f63617bfb364648bb20f6ad41676a79174e
Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/144493
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
Tested-by: Jenkins <bsgcomp@arm.com>
Diffstat (limited to 'tests/validation/CL/DilatedConvolutionLayer.cpp')
| -rw-r--r-- | tests/validation/CL/DilatedConvolutionLayer.cpp | 26 |
1 files changed, 16 insertions, 10 deletions
diff --git a/tests/validation/CL/DilatedConvolutionLayer.cpp b/tests/validation/CL/DilatedConvolutionLayer.cpp index f748f905d1..d7642eb172 100644 --- a/tests/validation/CL/DilatedConvolutionLayer.cpp +++ b/tests/validation/CL/DilatedConvolutionLayer.cpp @@ -43,10 +43,11 @@ namespace validation { namespace { -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_qasymm8(0.0); /**< Tolerance value for comparing reference's output against implementation's output for quantized data types */ -constexpr float tolerance_num = 0.07f; /**< Tolerance number */ +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 */ /** CNN data types */ const auto CNNDataTypes = framework::dataset::make("DataType", @@ -106,6 +107,7 @@ DATA_TEST_CASE(ValidateConvolutionMethod, framework::DatasetMode::ALL, zip(zip(z &output_info.clone()->set_is_resizable(true), conv_info, WeightsInfo(), ActivationLayerInfo(), gpu_target, dilation); ARM_COMPUTE_EXPECT(is_valid == expected, framework::LogLevel::ERRORS); } + TEST_SUITE_END() TEST_SUITE(GEMMDilatedConvolutionLayer) @@ -165,8 +167,9 @@ FIXTURE_DATA_TEST_CASE(RunSmall, CLGEMMDilatedConvolutionLayerFixture<half>, fra framework::dataset::make("ActivationLayerInfo", ActivationLayerInfo()))) { // Validate output - validate(CLAccessor(_target), _reference, tolerance_f16, tolerance_num); + validate(CLAccessor(_target), _reference, rel_tolerance_f16, 0.0f, abs_tolerance_f16); } + FIXTURE_DATA_TEST_CASE(RunLarge, CLGEMMDilatedConvolutionLayerFixture<half>, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::LargeDilatedConvolutionLayerDataset(), framework::dataset::make("ReshapeWeights", { true })), framework::dataset::make("DataType", DataType::F16)), @@ -174,8 +177,9 @@ FIXTURE_DATA_TEST_CASE(RunLarge, CLGEMMDilatedConvolutionLayerFixture<half>, fra framework::dataset::make("ActivationLayerInfo", ActivationLayerInfo()))) { // Validate output - validate(CLAccessor(_target), _reference, tolerance_f16, tolerance_num); + validate(CLAccessor(_target), _reference, rel_tolerance_f16, 0.0f, abs_tolerance_f16); } + TEST_SUITE_END() TEST_SUITE(FP32) @@ -186,8 +190,9 @@ FIXTURE_DATA_TEST_CASE(RunSmall, CLGEMMDilatedConvolutionLayerFixture<float>, fr framework::dataset::make("ActivationLayerInfo", ActivationLayerInfo()))) { // Validate output - validate(CLAccessor(_target), _reference, tolerance_f32); + validate(CLAccessor(_target), _reference, rel_tolerance_f32); } + FIXTURE_DATA_TEST_CASE(RunLarge, CLGEMMDilatedConvolutionLayerFixture<float>, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::LargeDilatedConvolutionLayerDataset(), framework::dataset::make("ReshapeWeights", { true })), framework::dataset::make("DataType", DataType::F32)), @@ -195,7 +200,7 @@ FIXTURE_DATA_TEST_CASE(RunLarge, CLGEMMDilatedConvolutionLayerFixture<float>, fr framework::dataset::make("ActivationLayerInfo", ActivationLayerInfo()))) { // Validate output - validate(CLAccessor(_target), _reference, tolerance_f32, 0.00002); + validate(CLAccessor(_target), _reference, rel_tolerance_f32, 0.f, abs_tolerance_f32); } TEST_SUITE_END() TEST_SUITE_END() @@ -214,8 +219,9 @@ FIXTURE_DATA_TEST_CASE(RunSmall, CLGEMMDilatedConvolutionLayerQuantizedFixture<u framework::dataset::make("ActivationLayerInfo", { ActivationLayerInfo() }))) { // Validate output - validate(CLAccessor(_target), _reference, tolerance_qasymm8); + validate(CLAccessor(_target), _reference, abs_tolerance_qasymm8); } + FIXTURE_DATA_TEST_CASE(RunLarge, CLGEMMDilatedConvolutionLayerQuantizedFixture<uint8_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(datasets::LargeDilatedConvolutionLayerDataset(), framework::dataset::make("ReshapeWeights", { true })), @@ -225,7 +231,7 @@ FIXTURE_DATA_TEST_CASE(RunLarge, CLGEMMDilatedConvolutionLayerQuantizedFixture<u framework::dataset::make("ActivationLayerInfo", { ActivationLayerInfo() }))) { // Validate output - validate(CLAccessor(_target), _reference, tolerance_qasymm8); + validate(CLAccessor(_target), _reference, abs_tolerance_qasymm8); } TEST_SUITE_END() TEST_SUITE_END() |