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| author | Jaroslaw Rzepecki <jaroslaw.rzepecki@arm.com> | 2017-11-29 13:51:34 +0000 |
|---|---|---|
| committer | Anthony Barbier <anthony.barbier@arm.com> | 2018-11-02 16:41:58 +0000 |
| commit | 2ecbadada0d2b5e48eb4ffd0ae5e3390c0c96db5 (patch) | |
| tree | b838193bc40254726afb242dcdda6ec9205f05f2 /tests/validation/CL/DirectConvolutionLayer.cpp | |
| parent | b81fa60a6a78aea2f8e30dd7f2a495b510b4f918 (diff) | |
| download | ComputeLibrary-2ecbadada0d2b5e48eb4ffd0ae5e3390c0c96db5.tar.gz | |
IVGCVSW-656 : added support (and unit tests) for asymmetric padding in
dirct conv (CL)
Change-Id: I4b8389376e675bfa93b4a1ae7c8e65b8db1f4c4b
Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/111102
Tested-by: BSG Visual Compute Jenkins server to access repositories on http://mpd-gerrit.cambridge.arm.com <bsgcomp@arm.com>
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
Reviewed-by: Anthony Barbier <anthony.barbier@arm.com>
Diffstat (limited to 'tests/validation/CL/DirectConvolutionLayer.cpp')
| -rw-r--r-- | tests/validation/CL/DirectConvolutionLayer.cpp | 24 |
1 files changed, 24 insertions, 0 deletions
diff --git a/tests/validation/CL/DirectConvolutionLayer.cpp b/tests/validation/CL/DirectConvolutionLayer.cpp index e6a196ae46..84e1bca6a5 100644 --- a/tests/validation/CL/DirectConvolutionLayer.cpp +++ b/tests/validation/CL/DirectConvolutionLayer.cpp @@ -27,6 +27,7 @@ #include "arm_compute/runtime/CL/functions/CLDirectConvolutionLayer.h" #include "tests/CL/CLAccessor.h" #include "tests/PaddingCalculator.h" +#include "tests/datasets/DirectConvolutionLayerDataset.h" #include "tests/datasets/ShapeDatasets.h" #include "tests/framework/Asserts.h" #include "tests/framework/Macros.h" @@ -148,6 +149,8 @@ DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip( template <typename T> using CLDirectConvolutionLayerFixture = DirectConvolutionValidationFixture<CLTensor, CLAccessor, CLDirectConvolutionLayer, T>; +template <typename T> +using CLDirectConvolutionValidationWithTensorShapesFixture = DirectConvolutionValidationWithTensorShapesFixture<CLTensor, CLAccessor, CLDirectConvolutionLayer, T>; TEST_SUITE(Float) TEST_SUITE(FP16) @@ -165,6 +168,15 @@ FIXTURE_DATA_TEST_CASE(Run, CLDirectConvolutionLayerFixture<float>, framework::D validate(CLAccessor(_target), _reference, tolerance_fp32); } TEST_SUITE_END() + +TEST_SUITE(FP32_CustomDataset) +FIXTURE_DATA_TEST_CASE(Run, CLDirectConvolutionValidationWithTensorShapesFixture<float>, framework::DatasetMode::ALL, combine(datasets::DirectConvolutionLayerDataset(), + framework::dataset::make("DataType", DataType::F32))) +{ + // Validate output + validate(CLAccessor(_target), _reference, tolerance_fp32); +} +TEST_SUITE_END() TEST_SUITE_END() template <typename T> @@ -192,6 +204,8 @@ TEST_SUITE_END() template <typename T> using CLDirectConvolutionLayerQuantizedFixture = DirectConvolutionValidationQuantizedFixture<CLTensor, CLAccessor, CLDirectConvolutionLayer, T>; +template <typename T> +using CLDirectConvolutionValidationWithTensorShapesQuantizedFixture = DirectConvolutionValidationWithTensorShapesQuantizedFixture<CLTensor, CLAccessor, CLDirectConvolutionLayer, T>; TEST_SUITE(Quantized) TEST_SUITE(QASYMM8) @@ -202,6 +216,16 @@ FIXTURE_DATA_TEST_CASE(Run, CLDirectConvolutionLayerQuantizedFixture<uint8_t>, f validate(CLAccessor(_target), _reference, tolerance_qasymm8); } TEST_SUITE_END() + +TEST_SUITE(QASYMM8_CustomDataset) +FIXTURE_DATA_TEST_CASE(Run, CLDirectConvolutionValidationWithTensorShapesQuantizedFixture<uint8_t>, framework::DatasetMode::ALL, combine(combine(datasets::DirectConvolutionLayerDataset(), + framework::dataset::make("DataType", DataType::QASYMM8)), + framework::dataset::make("QuantizationInfo", { QuantizationInfo(2.f / 255, 127) }))) +{ + // Validate output + validate(CLAccessor(_target), _reference, tolerance_qasymm8); +} +TEST_SUITE_END() TEST_SUITE_END() TEST_SUITE_END() |