diff options
Diffstat (limited to 'tests/validation/CL/DirectConvolutionLayer.cpp')
| -rw-r--r-- | tests/validation/CL/DirectConvolutionLayer.cpp | 46 |
1 files changed, 30 insertions, 16 deletions
diff --git a/tests/validation/CL/DirectConvolutionLayer.cpp b/tests/validation/CL/DirectConvolutionLayer.cpp index 25e881f4ce..2986369d9b 100644 --- a/tests/validation/CL/DirectConvolutionLayer.cpp +++ b/tests/validation/CL/DirectConvolutionLayer.cpp @@ -47,21 +47,11 @@ RelativeTolerance<half> tolerance_fp16(half(0.2)); /**< Tolerance for floating RelativeTolerance<float> tolerance_fp32(0.02f); /**< Tolerance for floating point tests */ constexpr float tolerance_num = 0.07f; /**< Tolerance number */ -constexpr AbsoluteTolerance<int8_t> tolerance_qs8(0); /**< Tolerance for fixed point tests */ -constexpr AbsoluteTolerance<int16_t> tolerance_qs16(0); /**< Tolerance for fixed point tests */ +constexpr AbsoluteTolerance<int8_t> tolerance_qs8(0); /**< Tolerance for fixed point tests */ +constexpr AbsoluteTolerance<int16_t> tolerance_qs16(0); /**< Tolerance for fixed point tests */ +constexpr AbsoluteTolerance<uint8_t> tolerance_qasymm8(1); /**< Tolerance for quantized tests */ /** Direct convolution data set. */ -const auto data_quantized = combine(datasets::SmallDirectConvolutionShapes(), - combine(framework::dataset::make("StrideX", 1, 3), - combine(framework::dataset::make("StrideY", 1, 3), - combine(concat(combine(framework::dataset::make("PadX", 0), - combine(framework::dataset::make("PadY", 0), - framework::dataset::make("KernelSize", 1))), - combine(framework::dataset::make("PadX", 0, 2), - combine(framework::dataset::make("PadY", 0, 2), - framework::dataset::make("KernelSize", { 3 })))), - framework::dataset::make("NumKernels", { 1, 4, 8, 16 }))))); - const auto data = combine(datasets::SmallDirectConvolutionShapes(), combine(framework::dataset::make("StrideX", 1, 3), combine(framework::dataset::make("StrideY", 1, 3), @@ -72,6 +62,16 @@ const auto data = combine(datasets::SmallDirectConvolutionShapes(), combine(framework::dataset::make("PadY", 0, 2), framework::dataset::make("KernelSize", { 3, 5 })))), framework::dataset::make("NumKernels", { 1, 4, 8, 16 }))))); +const auto data_fixed_point = combine(datasets::SmallDirectConvolutionShapes(), + combine(framework::dataset::make("StrideX", 1, 3), + combine(framework::dataset::make("StrideY", 1, 3), + combine(concat(combine(framework::dataset::make("PadX", 0), + combine(framework::dataset::make("PadY", 0), + framework::dataset::make("KernelSize", 1))), + combine(framework::dataset::make("PadX", 0, 2), + combine(framework::dataset::make("PadY", 0, 2), + framework::dataset::make("KernelSize", { 3 })))), + framework::dataset::make("NumKernels", { 1, 4, 8, 16 }))))); } // namespace TEST_SUITE(CL) @@ -103,9 +103,9 @@ TEST_SUITE_END() template <typename T> using CLDirectConvolutionLayerFixedPointFixture = DirectConvolutionValidationFixedPointFixture<CLTensor, CLAccessor, CLDirectConvolutionLayer, T>; -TEST_SUITE(Quantized) +TEST_SUITE(FixedPoint) TEST_SUITE(QS8) -FIXTURE_DATA_TEST_CASE(Run, CLDirectConvolutionLayerFixedPointFixture<int8_t>, framework::DatasetMode::ALL, combine(combine(data_quantized, framework::dataset::make("DataType", DataType::QS8)), +FIXTURE_DATA_TEST_CASE(Run, CLDirectConvolutionLayerFixedPointFixture<int8_t>, framework::DatasetMode::ALL, combine(combine(data_fixed_point, framework::dataset::make("DataType", DataType::QS8)), framework::dataset::make("FractionalBits", 2, 7))) { // Validate output @@ -114,7 +114,7 @@ FIXTURE_DATA_TEST_CASE(Run, CLDirectConvolutionLayerFixedPointFixture<int8_t>, f TEST_SUITE_END() TEST_SUITE(QS16) -FIXTURE_DATA_TEST_CASE(Run, CLDirectConvolutionLayerFixedPointFixture<int16_t>, framework::DatasetMode::ALL, combine(combine(data_quantized, framework::dataset::make("DataType", DataType::QS16)), +FIXTURE_DATA_TEST_CASE(Run, CLDirectConvolutionLayerFixedPointFixture<int16_t>, framework::DatasetMode::ALL, combine(combine(data_fixed_point, framework::dataset::make("DataType", DataType::QS16)), framework::dataset::make("FractionalBits", 2, 15))) { // Validate output @@ -123,6 +123,20 @@ FIXTURE_DATA_TEST_CASE(Run, CLDirectConvolutionLayerFixedPointFixture<int16_t>, TEST_SUITE_END() TEST_SUITE_END() +template <typename T> +using CLDirectConvolutionLayerQuantizedFixture = DirectConvolutionValidationQuantizedFixture<CLTensor, CLAccessor, CLDirectConvolutionLayer, T>; + +TEST_SUITE(Quantized) +TEST_SUITE(QASYMM8) +FIXTURE_DATA_TEST_CASE(Run, CLDirectConvolutionLayerQuantizedFixture<uint8_t>, framework::DatasetMode::ALL, combine(combine(data, 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() TEST_SUITE_END() } // namespace validation |