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| author | Usama Arif <usama.arif@arm.com> | 2019-04-16 14:32:25 +0100 |
|---|---|---|
| committer | Georgios Pinitas <georgios.pinitas@arm.com> | 2019-04-17 15:49:59 +0000 |
| commit | 2899e00a6fa57242a9bcae1d08a9a7e1e80f14e7 (patch) | |
| tree | 78f9ed1fa6fe5cde2acf9a47170e72b96418d730 /tests | |
| parent | dcd949d8c71d879ff656c13d068e8af3dd31eef1 (diff) | |
| download | ComputeLibrary-2899e00a6fa57242a9bcae1d08a9a7e1e80f14e7.tar.gz | |
COMPMID-2049: Add support for deconvolution for qasymm8 on NEON
Change-Id: I02890c7542f6036edad9cbba9fdcf2312c70070a
Signed-off-by: Usama Arif <usama.arif@arm.com>
Reviewed-on: https://review.mlplatform.org/c/1000
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
Diffstat (limited to 'tests')
| -rw-r--r-- | tests/validation/NEON/DeconvolutionLayer.cpp | 58 |
1 files changed, 58 insertions, 0 deletions
diff --git a/tests/validation/NEON/DeconvolutionLayer.cpp b/tests/validation/NEON/DeconvolutionLayer.cpp index 4a05535e09..fc37c02279 100644 --- a/tests/validation/NEON/DeconvolutionLayer.cpp +++ b/tests/validation/NEON/DeconvolutionLayer.cpp @@ -44,6 +44,8 @@ namespace validation 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 */ 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 }); @@ -213,6 +215,62 @@ TEST_SUITE_END() // W1x1 TEST_SUITE_END() // FP32 TEST_SUITE_END() // Float +template <typename T> +using NEDeconvolutionLayerQuantizedFixture4x4 = DeconvolutionValidationQuantizedFixture<Tensor, Accessor, NEDeconvolutionLayer, T, 4, 4>; + +template <typename T> +using NEDeconvolutionLayerQuantizedFixture3x3 = DeconvolutionValidationQuantizedFixture<Tensor, Accessor, NEDeconvolutionLayer, T, 3, 3>; + +template <typename T> +using NEDeconvolutionLayerQuantizedFixture1x1 = DeconvolutionValidationQuantizedFixture<Tensor, Accessor, NEDeconvolutionLayer, T, 1, 1>; + +TEST_SUITE(Quantized) +TEST_SUITE(QASYMM8) + +TEST_SUITE(W4x4) +FIXTURE_DATA_TEST_CASE(Run, NEDeconvolutionLayerQuantizedFixture4x4<uint8_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(data4x4, framework::dataset::make("DataType", + DataType::QASYMM8)), + data_layouts_dataset), + framework::dataset::make("QuantizationInfo", QuantizationInfo(2.f / 255.f, 0)))) +{ + // Validate output + validate(Accessor(_target), _reference, tolerance_qasymm8, tolerance_num); +} +TEST_SUITE_END() // W4x4 + +TEST_SUITE(W3x3) +FIXTURE_DATA_TEST_CASE(RunSmall, NEDeconvolutionLayerQuantizedFixture3x3<uint8_t>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(data3x3_precommit, framework::dataset::make("DataType", + DataType::QASYMM8)), + data_layouts_dataset), + framework::dataset::make("QuantizationInfo", QuantizationInfo(2.f / 255.f, 0)))) +{ + // Validate output + validate(Accessor(_target), _reference, tolerance_qasymm8, tolerance_num); +} +FIXTURE_DATA_TEST_CASE(RunLarge, NEDeconvolutionLayerQuantizedFixture3x3<uint8_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(data3x3, framework::dataset::make("DataType", + DataType::QASYMM8)), + data_layouts_dataset), + framework::dataset::make("QuantizationInfo", QuantizationInfo(2.f / 255.f, 0)))) +{ + // Validate output + validate(Accessor(_target), _reference, tolerance_qasymm8, tolerance_num); +} +TEST_SUITE_END() // W3x3 + +TEST_SUITE(W1x1) +FIXTURE_DATA_TEST_CASE(Run, NEDeconvolutionLayerQuantizedFixture1x1<uint8_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(data1x1, framework::dataset::make("DataType", + DataType::QASYMM8)), + data_layouts_dataset), + framework::dataset::make("QuantizationInfo", QuantizationInfo(2.f / 255.f, 0)))) +{ + // Validate output + validate(Accessor(_target), _reference, tolerance_qasymm8, tolerance_num); +} +TEST_SUITE_END() // W1x1 + +TEST_SUITE_END() // QASYMM8 +TEST_SUITE_END() // Quantized + TEST_SUITE_END() // DeconvolutionLayer TEST_SUITE_END() // NEON } // namespace validation |