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| author | Manuel Bottini <manuel.bottini@arm.com> | 2019-05-15 13:01:26 +0100 |
|---|---|---|
| committer | Manuel Bottini <manuel.bottini@arm.com> | 2019-05-15 16:31:30 +0000 |
| commit | f391fff0336ae84387dd3ebc683ef85649de9eb5 (patch) | |
| tree | 948f76332b89d0e4b5a052ffb6986ec263e9e76d /tests/validation | |
| parent | 68c6a7948270ce6cc00cdfb3f51e9bf9b9838832 (diff) | |
| download | ComputeLibrary-f391fff0336ae84387dd3ebc683ef85649de9eb5.tar.gz | |
COMPMID-2302
NEDeconvolution: support for FP16
Change-Id: I9fef05abdcafbc97607613a88f7997dd012e0d80
Signed-off-by: Manuel Bottini <manuel.bottini@arm.com>
Reviewed-on: https://review.mlplatform.org/c/1142
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Giuseppe Rossini <giuseppe.rossini@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Diffstat (limited to 'tests/validation')
| -rw-r--r-- | tests/validation/NEON/DeconvolutionLayer.cpp | 48 |
1 files changed, 41 insertions, 7 deletions
diff --git a/tests/validation/NEON/DeconvolutionLayer.cpp b/tests/validation/NEON/DeconvolutionLayer.cpp index fc37c02279..8860a9f974 100644 --- a/tests/validation/NEON/DeconvolutionLayer.cpp +++ b/tests/validation/NEON/DeconvolutionLayer.cpp @@ -45,7 +45,10 @@ namespace { constexpr AbsoluteTolerance<float> tolerance_fp32(0.001f); /**< Tolerance for floating point tests */ 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 */ +#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC +const RelativeTolerance<half_float::half> tolerance_fp16(half_float::half(0.2f)); /**< Relative tolerance value for comparing reference's output against implementation's output for DataType::F16 */ +#endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC*/ +constexpr float tolerance_num = 0.07f; /**< Tolerance number */ const auto data4x4 = datasets::SmallDeconvolutionShapes() * framework::dataset::make("StrideX", 1, 4) * framework::dataset::make("StrideY", 1, 4) * framework::dataset::make("PadX", 0, 3) * framework::dataset::make("PadY", 0, 3) * framework::dataset::make("NumKernels", { 3 }); @@ -175,10 +178,8 @@ template <typename T> using NEDeconvolutionLayerFixture1x1 = DeconvolutionValidationFixture<Tensor, Accessor, NEDeconvolutionLayer, T, 1, 1>; TEST_SUITE(Float) - TEST_SUITE(FP32) TEST_SUITE(W4x4) - FIXTURE_DATA_TEST_CASE(Run, NEDeconvolutionLayerFixture4x4<float>, framework::DatasetMode::NIGHTLY, combine(combine(data4x4, framework::dataset::make("DataType", DataType::F32)), data_layouts_dataset)) { @@ -186,9 +187,7 @@ FIXTURE_DATA_TEST_CASE(Run, NEDeconvolutionLayerFixture4x4<float>, framework::Da validate(Accessor(_target), _reference, tolerance_fp32); } TEST_SUITE_END() // W4x4 - TEST_SUITE(W3x3) - FIXTURE_DATA_TEST_CASE(RunSmall, NEDeconvolutionLayerFixture3x3<float>, framework::DatasetMode::PRECOMMIT, combine(combine(data3x3_precommit, framework::dataset::make("DataType", DataType::F32)), data_layouts_dataset)) { @@ -202,7 +201,6 @@ FIXTURE_DATA_TEST_CASE(RunLarge, NEDeconvolutionLayerFixture3x3<float>, framewor validate(Accessor(_target), _reference, tolerance_fp32); } TEST_SUITE_END() // W3x3 - TEST_SUITE(W1x1) FIXTURE_DATA_TEST_CASE(Run, NEDeconvolutionLayerFixture1x1<float>, framework::DatasetMode::NIGHTLY, combine(combine(data1x1, framework::dataset::make("DataType", DataType::F32)), data_layouts_dataset)) @@ -211,8 +209,44 @@ FIXTURE_DATA_TEST_CASE(Run, NEDeconvolutionLayerFixture1x1<float>, framework::Da validate(Accessor(_target), _reference, tolerance_fp32); } TEST_SUITE_END() // W1x1 - TEST_SUITE_END() // FP32 + +#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC +TEST_SUITE(FP16) +TEST_SUITE(W4x4) +FIXTURE_DATA_TEST_CASE(Run, NEDeconvolutionLayerFixture4x4<half>, framework::DatasetMode::NIGHTLY, combine(combine(data4x4, framework::dataset::make("DataType", DataType::F16)), + data_layouts_dataset)) +{ + // Validate output + validate(Accessor(_target), _reference, tolerance_fp16); +} +TEST_SUITE_END() // W4x4 +TEST_SUITE(W3x3) +FIXTURE_DATA_TEST_CASE(RunSmall, NEDeconvolutionLayerFixture3x3<half>, framework::DatasetMode::PRECOMMIT, combine(combine(data3x3_precommit, framework::dataset::make("DataType", DataType::F16)), + data_layouts_dataset)) +{ + // Validate output + validate(Accessor(_target), _reference, tolerance_fp16); +} +FIXTURE_DATA_TEST_CASE(RunLarge, NEDeconvolutionLayerFixture3x3<half>, framework::DatasetMode::NIGHTLY, combine(combine(data3x3, framework::dataset::make("DataType", DataType::F16)), + data_layouts_dataset)) +{ + // Validate output + validate(Accessor(_target), _reference, tolerance_fp16); +} +TEST_SUITE_END() // W3x3 +TEST_SUITE(W1x1) +FIXTURE_DATA_TEST_CASE(Run, NEDeconvolutionLayerFixture1x1<half>, framework::DatasetMode::NIGHTLY, combine(combine(data1x1, framework::dataset::make("DataType", DataType::F16)), + data_layouts_dataset)) +{ + // Validate output + validate(Accessor(_target), _reference, tolerance_fp16); +} +TEST_SUITE_END() // W1x1 +TEST_SUITE_END() // FP16 +#endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */ + + TEST_SUITE_END() // Float template <typename T> |