diff options
Diffstat (limited to 'tests/validation/NEON/DepthwiseConvolutionLayer.cpp')
| -rw-r--r-- | tests/validation/NEON/DepthwiseConvolutionLayer.cpp | 847 |
1 files changed, 560 insertions, 287 deletions
diff --git a/tests/validation/NEON/DepthwiseConvolutionLayer.cpp b/tests/validation/NEON/DepthwiseConvolutionLayer.cpp index 7260eec42d..e9609b7b72 100644 --- a/tests/validation/NEON/DepthwiseConvolutionLayer.cpp +++ b/tests/validation/NEON/DepthwiseConvolutionLayer.cpp @@ -1,5 +1,5 @@ /* - * Copyright (c) 2017-2021 Arm Limited. + * Copyright (c) 2017-2024 Arm Limited. * * SPDX-License-Identifier: MIT * @@ -42,32 +42,70 @@ namespace test { namespace validation { +using framework::dataset::make; using namespace arm_compute::misc::shape_calculator; namespace { -constexpr RelativeTolerance<float> tolerance_f32(0.01f); /**< Tolerance value for comparing reference's output against implementation's output for DataType::F32 */ -constexpr AbsoluteTolerance<uint8_t> tolerance_qasymm8(1); /**< Tolerance value for comparing reference's output against implementation's output for DataType::QASYMM8 */ +constexpr RelativeTolerance<float> tolerance_f32(0.01f); /**< Tolerance value for comparing reference's output against implementation's output for DataType::F32 */ +constexpr AbsoluteTolerance<uint8_t> tolerance_qasymm8(1); /**< Tolerance value for comparing reference's output against implementation's output for DataType::QASYMM8 */ +constexpr AbsoluteTolerance<int8_t> tolerance_qasymm8_signed(1); /**< Tolerance value for comparing reference's output against implementation's output for DataType::QASYMM8_SIGNED */ #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC RelativeTolerance<half_float::half> tolerance_f16(half_float::half(0.02)); /**< Tolerance value for comparing reference's output against implementation's output for DataType::F16 */ constexpr float tolerance_num = 0.05f; /**< Tolerance number */ #endif // __ARM_FEATURE_FP16_VECTOR_ARITHMETIC -const auto depth_multipliers = framework::dataset::make("DepthMultiplier", { 1, 2, 8 }); -const auto large_depth_multipliers = framework::dataset::make("DepthMultiplier", { 1, 2, 5, 32 }); +const auto depth_multipliers = make("DepthMultiplier", { 1, 2, 8 }); +const auto large_depth_multipliers = make("DepthMultiplier", { 5, 32 }); -//Activation Functions -const auto ActivationFunctionsDataset = framework::dataset::make("ActivationInfo", +// Activation Functions +const auto NoActivation = make("ActivationInfo", ActivationLayerInfo()); + +const auto ActivationFunctionsDataset = make("ActivationInfo", { ActivationLayerInfo(), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU) }); -const auto input_qinfo_dataset = framework::dataset::make("InputQInfo", +const auto ActivationFunctionsDatasetNightly = make("ActivationInfo", +{ + ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::BOUNDED_RELU, 0.5f), + ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU, 0.5f, -0.5f), + ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LEAKY_RELU, 0.1f), + ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::SOFT_RELU), + ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::ELU), + ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::ABS), + ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LOGISTIC), + ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::TANH), + ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::SQUARE), + ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::SWISH), + ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::HARD_SWISH), + ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LINEAR, 2.f, 1.f), +#ifdef __aarch64__ + ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::GELU), +#endif // __aarch64__ +}); + +const auto ActivationFunctionsQuantizedSmallDataset = make("ActivationInfo", +{ + ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU) +}); + +const auto ActivationFunctionsQuantizedDataset = make("ActivationInfo", +{ + ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::BOUNDED_RELU, 0.5f), + ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU, 0.5f, -0.5f), +}); + +// This is only used when there is fused activation +const auto input_qinfo_dataset = make("InputQInfo", { QuantizationInfo(0.3f, 10), QuantizationInfo(2.2f, 10), }); + +const auto IgnoredQuantizationInfo = make("IgnoredQuantizationInfo", QuantizationInfo()); + } // namespace TEST_SUITE(NEON) @@ -76,7 +114,7 @@ TEST_SUITE(DepthwiseConvolutionLayer) // *INDENT-OFF* // clang-format off DATA_TEST_CASE(Validate3x3, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(zip( - framework::dataset::make("InputInfo", { TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32), // Mismatching data type input/weights + make("InputInfo", { TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32), // Mismatching data type input/weights TensorInfo(TensorShape(32U, 18U, 3U), 1, DataType::F32), // Mismatching input feature maps TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32), // Unsupported weights dimensions TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32), // Mismatching depth multiplier @@ -88,7 +126,7 @@ DATA_TEST_CASE(Validate3x3, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), // dilation < 1 TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), }), - framework::dataset::make("WeightsInfo", { TensorInfo(TensorShape(3U, 3U, 2U, 2U), 1, DataType::F16), + make("WeightsInfo", { TensorInfo(TensorShape(3U, 3U, 2U, 2U), 1, DataType::F16), TensorInfo(TensorShape(3U, 3U, 2U, 2U), 1, DataType::F32), TensorInfo(TensorShape(5U, 5U, 2U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U, 2U), 1, DataType::F32), @@ -100,7 +138,7 @@ DATA_TEST_CASE(Validate3x3, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip TensorInfo(TensorShape(3U, 3U, 2U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U, 2U), 1, DataType::F32), })), - framework::dataset::make("BiasesInfo", { TensorInfo(TensorShape(2U), 1, DataType::F32), + make("BiasesInfo", { TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), @@ -112,7 +150,7 @@ DATA_TEST_CASE(Validate3x3, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), })), - framework::dataset::make("OutputInfo", { TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32), + make("OutputInfo", { TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32), @@ -124,7 +162,7 @@ DATA_TEST_CASE(Validate3x3, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32), })), - framework::dataset::make("ConvInfo", { PadStrideInfo(1, 1, 0, 0), + make("ConvInfo", { PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), @@ -136,7 +174,7 @@ DATA_TEST_CASE(Validate3x3, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), })), - framework::dataset::make("DepthMultiplier", { 1, + make("DepthMultiplier", { 1, 1, 1, 3, @@ -148,7 +186,7 @@ DATA_TEST_CASE(Validate3x3, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip 1, 1, })), - framework::dataset::make("Dilation", { Size2D(1U, 1U), + make("Dilation", { Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), @@ -160,7 +198,7 @@ DATA_TEST_CASE(Validate3x3, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip Size2D(0U, 1U), Size2D(1U, 1U), })), - framework::dataset::make("Expected", { false, false, false, false, false, false, false, false, false, false, true })), + make("Expected", { false, false, false, false, false, false, false, false, false, false, true })), input_info, weights_info, biases_info, output_info, conv_info, depth_multiplier,dilation, expected) { bool is_valid = bool(NEDepthwiseConvolutionLayer::validate(&input_info.clone()->set_is_resizable(false), @@ -169,7 +207,7 @@ DATA_TEST_CASE(Validate3x3, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip } DATA_TEST_CASE(ValidateGeneric, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(zip( - framework::dataset::make("InputInfo", { TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), // Mismatching data type input/weights + make("InputInfo", { TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), // Mismatching data type input/weights TensorInfo(TensorShape(27U, 13U, 3U), 1, DataType::F32), // Mismatching input feature maps TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), // Mismatching depth multiplier TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), // Invalid biases size @@ -178,7 +216,7 @@ DATA_TEST_CASE(ValidateGeneric, framework::DatasetMode::ALL, zip(zip(zip(zip(zip TensorInfo(TensorShape(27U, 13U, 8U), 1, DataType::F32), // Patch size bigger than input width TensorInfo(TensorShape(27U, 13U, 8U), 1, DataType::F32), // Dilation < 1 }), - framework::dataset::make("WeightsInfo", { TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F16), + make("WeightsInfo", { TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F16), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32), @@ -187,7 +225,7 @@ DATA_TEST_CASE(ValidateGeneric, framework::DatasetMode::ALL, zip(zip(zip(zip(zip TensorInfo(TensorShape(3U, 3U, 16U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 16U), 1, DataType::F32), })), - framework::dataset::make("BiasesInfo", { TensorInfo(TensorShape(2U), 1, DataType::F32), + make("BiasesInfo", { TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(4U), 1, DataType::F32), @@ -196,7 +234,7 @@ DATA_TEST_CASE(ValidateGeneric, framework::DatasetMode::ALL, zip(zip(zip(zip(zip TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), })), - framework::dataset::make("OutputInfo", { TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32), + make("OutputInfo", { TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32), @@ -205,7 +243,7 @@ DATA_TEST_CASE(ValidateGeneric, framework::DatasetMode::ALL, zip(zip(zip(zip(zip TensorInfo(TensorShape(25U, 11U, 16U), 1, DataType::F32), TensorInfo(TensorShape(25U, 11U, 16U), 1, DataType::F32), })), - framework::dataset::make("ConvInfo", { PadStrideInfo(1, 1, 0, 0), + make("ConvInfo", { PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), @@ -214,7 +252,7 @@ DATA_TEST_CASE(ValidateGeneric, framework::DatasetMode::ALL, zip(zip(zip(zip(zip PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), })), - framework::dataset::make("DepthMultiplier", { 1, + make("DepthMultiplier", { 1, 1, 3, 1, @@ -223,7 +261,7 @@ DATA_TEST_CASE(ValidateGeneric, framework::DatasetMode::ALL, zip(zip(zip(zip(zip 2, 2, })), - framework::dataset::make("Dilation", { Size2D(1U, 1U), + make("Dilation", { Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), @@ -232,7 +270,7 @@ DATA_TEST_CASE(ValidateGeneric, framework::DatasetMode::ALL, zip(zip(zip(zip(zip Size2D(25U, 1U), Size2D(0U, 1U), })), - framework::dataset::make("Expected", { false, false, false, false, false, false, false, false})), + make("Expected", { false, false, false, false, false, false, false, false})), input_info, weights_info, biases_info, output_info, conv_info, depth_multiplier,dilation, expected) { bool is_valid = bool(NEDepthwiseConvolutionLayer::validate(&input_info.clone()->set_is_resizable(false), &weights_info.clone()->set_is_resizable(false), &biases_info.clone()->set_is_resizable(false), &output_info.clone()->set_is_resizable(false), conv_info, depth_multiplier, ActivationLayerInfo(), dilation)); @@ -244,43 +282,58 @@ template <typename T> using NEDepthwiseConvolutionLayerFixture = DepthwiseConvolutionLayerValidationFixture<Tensor, Accessor, NEDepthwiseConvolutionLayer, T>; template <typename T> using NEDepthwiseConvolutionLayerMixedDataLayoutFixture = DepthwiseConvolutionLayerValidationFixture<Tensor, Accessor, NEDepthwiseConvolutionLayer, T, true>; +template <typename T> +using NEDepthwiseConvolutionLayerVariableWeightsFixture = DepthwiseConvolutionLayerValidationFixture<Tensor, Accessor, NEDepthwiseConvolutionLayer, T, false, false, true>; TEST_SUITE(Float) TEST_SUITE(F32) + +FIXTURE_DATA_TEST_CASE_NEW(RunActivations, NEDepthwiseConvolutionLayerFixture<float>, framework::DatasetMode::NIGHTLY, + combine( + make("In", TensorShape(33U, 27U, 11U, 3U)), + make("Weights", Size2D(3U, 4U)), + make("Info", PadStrideInfo(1, 2, 0, 1)), + make("Dilation", Size2D(2U, 2U)), + make("DepthMultiplier", { 5 }), + make("DataType", DataType::F32), + make("DataLayout", { DataLayout::NHWC, DataLayout::NCHW }), + ActivationFunctionsDatasetNightly)) +{ + validate(Accessor(_target), _reference, tolerance_f32); +} + TEST_SUITE(Generic) FIXTURE_DATA_TEST_CASE_NEW(RunSmall, NEDepthwiseConvolutionLayerFixture<float>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallDepthwiseConvolutionLayerDataset(), depth_multipliers), - framework::dataset::make("DataType", DataType::F32)), - framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })), + make("DataType", DataType::F32)), + make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })), ActivationFunctionsDataset)) { validate(Accessor(_target), _reference, tolerance_f32); } FIXTURE_DATA_TEST_CASE_NEW(RunMixedDataLayout, NEDepthwiseConvolutionLayerMixedDataLayoutFixture<float>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallDepthwiseConvolutionLayerDataset(), - framework::dataset::make("DepthMultiplier", { 2 })), - framework::dataset::make("DataType", DataType::F32)), - framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })), - framework::dataset::make("ActivationInfo", ActivationLayerInfo()))) + make("DepthMultiplier", { 2 })), + make("DataType", DataType::F32)), + make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })), + make("ActivationInfo", ActivationLayerInfo()))) { validate(Accessor(_target), _reference, tolerance_f32); } FIXTURE_DATA_TEST_CASE_NEW(RunLarge, NEDepthwiseConvolutionLayerFixture<float>, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::LargeDepthwiseConvolutionLayerDataset(), large_depth_multipliers), - framework::dataset::make("DataType", - DataType::F32)), - framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })), - ActivationFunctionsDataset)) + make("DataType", DataType::F32)), + make("DataLayout", { DataLayout::NHWC })), + make("ActivationInfo", { ActivationLayerInfo() }))) { validate(Accessor(_target), _reference, tolerance_f32); } - TEST_SUITE(Dilation) FIXTURE_DATA_TEST_CASE_NEW(RunSmall, NEDepthwiseConvolutionLayerFixture<float>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallDepthwiseDilatedConvolutionLayerDataset(), depth_multipliers), - framework::dataset::make("DataType", + make("DataType", DataType::F32)), - framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })), + make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })), ActivationFunctionsDataset)) { validate(Accessor(_target), _reference, tolerance_f32); @@ -288,10 +341,10 @@ FIXTURE_DATA_TEST_CASE_NEW(RunSmall, NEDepthwiseConvolutionLayerFixture<float>, FIXTURE_DATA_TEST_CASE_NEW(RunLarge, NEDepthwiseConvolutionLayerFixture<float>, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::LargeDepthwiseDilatedConvolutionLayerDataset(), large_depth_multipliers), - framework::dataset::make("DataType", + make("DataType", DataType::F32)), - framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })), - ActivationFunctionsDataset)) + make("DataLayout", { DataLayout::NHWC })), + make("ActivationInfo", { ActivationLayerInfo() }))) { validate(Accessor(_target), _reference, tolerance_f32); } @@ -301,9 +354,9 @@ TEST_SUITE_END() // Generic TEST_SUITE(W3x3) FIXTURE_DATA_TEST_CASE_NEW(RunSmall, NEDepthwiseConvolutionLayerFixture<float>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallDepthwiseConvolutionLayerDataset3x3(), depth_multipliers), - framework::dataset::make("DataType", + make("DataType", DataType::F32)), - framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })), + make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })), ActivationFunctionsDataset)) { validate(Accessor(_target), _reference, tolerance_f32); @@ -311,10 +364,10 @@ FIXTURE_DATA_TEST_CASE_NEW(RunSmall, NEDepthwiseConvolutionLayerFixture<float>, FIXTURE_DATA_TEST_CASE_NEW(RunLarge, NEDepthwiseConvolutionLayerFixture<float>, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::LargeDepthwiseConvolutionLayerDataset3x3(), large_depth_multipliers), - framework::dataset::make("DataType", + make("DataType", DataType::F32)), - framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })), - ActivationFunctionsDataset)) + make("DataLayout", { DataLayout::NHWC })), + make("ActivationInfo", { ActivationLayerInfo() }))) { validate(Accessor(_target), _reference, tolerance_f32); } @@ -322,9 +375,9 @@ TEST_SUITE(Dilation) FIXTURE_DATA_TEST_CASE_NEW(RunSmall, NEDepthwiseConvolutionLayerFixture<float>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallDepthwiseDilatedConvolutionLayerDataset3x3(), depth_multipliers), - framework::dataset::make("DataType", + make("DataType", DataType::F32)), - framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })), + make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })), ActivationFunctionsDataset)) { validate(Accessor(_target), _reference, tolerance_f32); @@ -332,10 +385,10 @@ FIXTURE_DATA_TEST_CASE_NEW(RunSmall, NEDepthwiseConvolutionLayerFixture<float>, FIXTURE_DATA_TEST_CASE_NEW(RunLarge, NEDepthwiseConvolutionLayerFixture<float>, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::LargeDepthwiseDilatedConvolutionLayerDataset3x3(), large_depth_multipliers), - framework::dataset::make("DataType", + make("DataType", DataType::F32)), - framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })), - ActivationFunctionsDataset)) + make("DataLayout", { DataLayout::NHWC })), + make("ActivationInfo", { ActivationLayerInfo() }))) { validate(Accessor(_target), _reference, tolerance_f32); } @@ -346,40 +399,70 @@ TEST_SUITE_END() // W3x3 TEST_SUITE(Optimized) FIXTURE_DATA_TEST_CASE_NEW(RunSmall3x3, NEDepthwiseConvolutionLayerFixture<float>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallOptimizedDepthwiseConvolutionLayerDataset3x3(), - framework::dataset::make("DepthMultiplier", 1)), - framework::dataset::make("DataType", + make("DepthMultiplier", 1)), + make("DataType", DataType::F32)), - framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })), + make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })), + ActivationFunctionsDataset)) +{ + validate(Accessor(_target), _reference, tolerance_f32); +} +FIXTURE_DATA_TEST_CASE_NEW(RunVariableWeightsSmall3x3, NEDepthwiseConvolutionLayerVariableWeightsFixture<float>, framework::DatasetMode::PRECOMMIT, + combine(combine(combine(combine(datasets::SmallOptimizedDepthwiseConvolutionLayerDataset3x3(), + make("DepthMultiplier", 1)), + make("DataType", + DataType::F32)), + make("DataLayout", { DataLayout::NHWC })), ActivationFunctionsDataset)) { validate(Accessor(_target), _reference, tolerance_f32); } FIXTURE_DATA_TEST_CASE_NEW(RunMixedDataLayout3x3, NEDepthwiseConvolutionLayerMixedDataLayoutFixture<float>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallOptimizedDepthwiseConvolutionLayerDataset3x3(), - framework::dataset::make("DepthMultiplier", 1)), - framework::dataset::make("DataType", DataType::F32)), - framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })), - framework::dataset::make("ActivationInfo", ActivationLayerInfo()))) + make("DepthMultiplier", 1)), + make("DataType", DataType::F32)), + make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })), + make("ActivationInfo", ActivationLayerInfo()))) { validate(Accessor(_target), _reference, tolerance_f32); } FIXTURE_DATA_TEST_CASE_NEW(RunSmall5x5, NEDepthwiseConvolutionLayerFixture<float>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallOptimizedDepthwiseConvolutionLayerDataset5x5(), - framework::dataset::make("DepthMultiplier", 1)), - framework::dataset::make("DataType", + make("DepthMultiplier", 1)), + make("DataType", DataType::F32)), - framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })), + make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })), + ActivationFunctionsDataset)) +{ + validate(Accessor(_target), _reference, tolerance_f32); +} +FIXTURE_DATA_TEST_CASE_NEW(RunVariableWeightsSmall5x5, NEDepthwiseConvolutionLayerVariableWeightsFixture<float>, framework::DatasetMode::PRECOMMIT, + combine(combine(combine(combine(datasets::SmallOptimizedDepthwiseConvolutionLayerDataset5x5(), + make("DepthMultiplier", 1)), + make("DataType", + DataType::F32)), + make("DataLayout", { DataLayout::NHWC })), ActivationFunctionsDataset)) { validate(Accessor(_target), _reference, tolerance_f32); } FIXTURE_DATA_TEST_CASE_NEW(RunLarge3x3, NEDepthwiseConvolutionLayerFixture<float>, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::LargeOptimizedDepthwiseConvolutionLayerDataset3x3(), - framework::dataset::make("DepthMultiplier", 1)), - framework::dataset::make("DataType", + make("DepthMultiplier", 1)), + make("DataType", DataType::F32)), - framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })), - ActivationFunctionsDataset)) + make("DataLayout", { DataLayout::NHWC })), + make("ActivationInfo", { ActivationLayerInfo() }))) +{ + validate(Accessor(_target), _reference, tolerance_f32); +} +FIXTURE_DATA_TEST_CASE_NEW(RunVariableWeightsLarge3x3, NEDepthwiseConvolutionLayerVariableWeightsFixture<float>, framework::DatasetMode::NIGHTLY, + combine(combine(combine(combine(datasets::LargeOptimizedDepthwiseConvolutionLayerDataset3x3(), + make("DepthMultiplier", 1)), + make("DataType", + DataType::F32)), + make("DataLayout", { DataLayout::NHWC })), + make("ActivationInfo", { ActivationLayerInfo() }))) { validate(Accessor(_target), _reference, tolerance_f32); } @@ -388,22 +471,37 @@ TEST_SUITE_END() // F32 #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC TEST_SUITE(F16) + +FIXTURE_DATA_TEST_CASE_NEW(RunActivations, NEDepthwiseConvolutionLayerFixture<half>, framework::DatasetMode::NIGHTLY, + combine( + make("In", TensorShape(33U, 27U, 11U, 3U)), + make("Weights", Size2D(3U, 4U)), + make("Info", PadStrideInfo(1, 2, 0, 1)), + make("Dilation", Size2D(2U, 2U)), + make("DepthMultiplier", { 5 }), + make("DataType", DataType::F16), + make("DataLayout", { DataLayout::NHWC, DataLayout::NCHW }), + ActivationFunctionsDatasetNightly)) +{ + validate(Accessor(_target), _reference, tolerance_f16, tolerance_num); +} + TEST_SUITE(Generic) FIXTURE_DATA_TEST_CASE_NEW(RunSmall, NEDepthwiseConvolutionLayerFixture<half>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallDepthwiseConvolutionLayerDataset(), depth_multipliers), - framework::dataset::make("DataType", + make("DataType", DataType::F16)), - framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })), + make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })), ActivationFunctionsDataset)) { validate(Accessor(_target), _reference, tolerance_f16, tolerance_num); } FIXTURE_DATA_TEST_CASE_NEW(RunLarge, NEDepthwiseConvolutionLayerFixture<half>, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::LargeDepthwiseConvolutionLayerDataset(), large_depth_multipliers), - framework::dataset::make("DataType", + make("DataType", DataType::F16)), - framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })), - ActivationFunctionsDataset)) + make("DataLayout", { DataLayout::NHWC })), + make("ActivationInfo", { ActivationLayerInfo() }))) { validate(Accessor(_target), _reference, tolerance_f16, tolerance_num); } @@ -412,9 +510,8 @@ TEST_SUITE(Dilation) FIXTURE_DATA_TEST_CASE_NEW(RunSmall, NEDepthwiseConvolutionLayerFixture<half>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallDepthwiseDilatedConvolutionLayerDataset(), depth_multipliers), - framework::dataset::make("DataType", - DataType::F16)), - framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })), + make("DataType", DataType::F16)), + make("DataLayout", { DataLayout::NHWC })), ActivationFunctionsDataset)) { validate(Accessor(_target), _reference, tolerance_f16, tolerance_num); @@ -422,10 +519,9 @@ FIXTURE_DATA_TEST_CASE_NEW(RunSmall, NEDepthwiseConvolutionLayerFixture<half>, f FIXTURE_DATA_TEST_CASE_NEW(RunLarge, NEDepthwiseConvolutionLayerFixture<half>, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::LargeDepthwiseDilatedConvolutionLayerDataset(), large_depth_multipliers), - framework::dataset::make("DataType", - DataType::F16)), - framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })), - ActivationFunctionsDataset)) + make("DataType", DataType::F16)), + make("DataLayout", { DataLayout::NHWC })), + make("ActivationInfo", { ActivationLayerInfo() }))) { validate(Accessor(_target), _reference, tolerance_f16, tolerance_num); } @@ -437,9 +533,9 @@ using NEDepthwiseConvolutionLayerFixture = DepthwiseConvolutionLayerValidationFi TEST_SUITE(W3x3) FIXTURE_DATA_TEST_CASE_NEW(RunSmall, NEDepthwiseConvolutionLayerFixture<half>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallDepthwiseConvolutionLayerDataset3x3(), depth_multipliers), - framework::dataset::make("DataType", + make("DataType", DataType::F16)), - framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })), + make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })), ActivationFunctionsDataset)) { validate(Accessor(_target), _reference, tolerance_f16); @@ -447,10 +543,10 @@ FIXTURE_DATA_TEST_CASE_NEW(RunSmall, NEDepthwiseConvolutionLayerFixture<half>, f FIXTURE_DATA_TEST_CASE_NEW(RunLarge, NEDepthwiseConvolutionLayerFixture<half>, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::LargeDepthwiseConvolutionLayerDataset3x3(), large_depth_multipliers), - framework::dataset::make("DataType", + make("DataType", DataType::F16)), - framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })), - ActivationFunctionsDataset)) + make("DataLayout", { DataLayout::NHWC })), + make("ActivationInfo", { ActivationLayerInfo() }))) { validate(Accessor(_target), _reference, tolerance_f16); } @@ -460,9 +556,9 @@ TEST_SUITE(Dilation) FIXTURE_DATA_TEST_CASE_NEW(RunSmall, NEDepthwiseConvolutionLayerFixture<half>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallDepthwiseDilatedConvolutionLayerDataset3x3(), depth_multipliers), - framework::dataset::make("DataType", + make("DataType", DataType::F16)), - framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })), + make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })), ActivationFunctionsDataset)) { validate(Accessor(_target), _reference, tolerance_f16); @@ -470,10 +566,10 @@ FIXTURE_DATA_TEST_CASE_NEW(RunSmall, NEDepthwiseConvolutionLayerFixture<half>, f FIXTURE_DATA_TEST_CASE_NEW(RunLarge, NEDepthwiseConvolutionLayerFixture<half>, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::LargeDepthwiseDilatedConvolutionLayerDataset3x3(), large_depth_multipliers), - framework::dataset::make("DataType", + make("DataType", DataType::F16)), - framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })), - ActivationFunctionsDataset)) + make("DataLayout", { DataLayout::NHWC })), + make("ActivationInfo", { ActivationLayerInfo() }))) { validate(Accessor(_target), _reference, tolerance_f16); } @@ -484,31 +580,31 @@ TEST_SUITE_END() // W3x3 TEST_SUITE(Optimized) FIXTURE_DATA_TEST_CASE_NEW(RunSmallW3x3, NEDepthwiseConvolutionLayerFixture<half>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallOptimizedDepthwiseConvolutionLayerDataset3x3(), - framework::dataset::make("DepthMultiplier", 1)), - framework::dataset::make("DataType", + make("DepthMultiplier", 1)), + make("DataType", DataType::F16)), - framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })), + make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })), ActivationFunctionsDataset)) { validate(Accessor(_target), _reference, tolerance_f16); } FIXTURE_DATA_TEST_CASE_NEW(RunSmallW5x5, NEDepthwiseConvolutionLayerFixture<half>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallOptimizedDepthwiseConvolutionLayerDataset5x5(), - framework::dataset::make("DepthMultiplier", 1)), - framework::dataset::make("DataType", + make("DepthMultiplier", 1)), + make("DataType", DataType::F16)), - framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })), + make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })), ActivationFunctionsDataset)) { validate(Accessor(_target), _reference, tolerance_f16); } FIXTURE_DATA_TEST_CASE_NEW(RunLargeW3x3, NEDepthwiseConvolutionLayerFixture<half>, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::LargeOptimizedDepthwiseConvolutionLayerDataset3x3(), - framework::dataset::make("DepthMultiplier", 1)), - framework::dataset::make("DataType", + make("DepthMultiplier", 1)), + make("DataType", DataType::F16)), - framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })), - ActivationFunctionsDataset)) + make("DataLayout", { DataLayout::NHWC })), + make("ActivationInfo", { ActivationLayerInfo() }))) { validate(Accessor(_target), _reference, tolerance_f16); } @@ -526,49 +622,88 @@ using NEDepthwiseConvolutionLayerQuantizedSymmetricPerChannelFixture = Depthwise TEST_SUITE(Quantized) TEST_SUITE(QASYMM8) + +FIXTURE_DATA_TEST_CASE_NEW(RunActivations, NEDepthwiseConvolutionLayerQuantizedFixture<uint8_t>, framework::DatasetMode::NIGHTLY, + combine( + make("In", TensorShape(33U, 27U, 11U, 3U)), + make("Weights", Size2D(3U, 4U)), + make("Info", PadStrideInfo(1, 2, 0, 1)), + make("Dilation", Size2D(2U, 2U)), + make("DepthMultiplier", { 5 }), + make("DataType", DataType::QASYMM8), + make("SrcQuantizationInfo", { QuantizationInfo(0.3f, 10) }), + make("DstQuantizationInfo", { QuantizationInfo(0.05f, 4) }), + make("DataLayout", { DataLayout::NHWC, DataLayout::NCHW }), + ActivationFunctionsQuantizedDataset)) +{ + validate(Accessor(_target), _reference, tolerance_qasymm8); +} + TEST_SUITE(Generic) FIXTURE_DATA_TEST_CASE_NEW(RunSmall, NEDepthwiseConvolutionLayerQuantizedFixture<uint8_t>, framework::DatasetMode::PRECOMMIT, - combine(combine(combine(combine(combine(combine(datasets::SmallDepthwiseConvolutionLayerDataset(), - depth_multipliers), - framework::dataset::make("DataType", DataType::QASYMM8)), - input_qinfo_dataset), - framework::dataset::make("DstQuantizationInfo", { QuantizationInfo(0.5f, 4) })), - framework::dataset::make("DataLayout", { DataLayout::NHWC })), - ActivationFunctionsDataset)) + combine(datasets::SmallDepthwiseConvolutionLayerDataset(), + depth_multipliers, + make("DataType", DataType::QASYMM8), + IgnoredQuantizationInfo, + IgnoredQuantizationInfo, + make("DataLayout", { DataLayout::NHWC }), + NoActivation)) +{ + validate(Accessor(_target), _reference, tolerance_qasymm8); +} +FIXTURE_DATA_TEST_CASE_NEW(RunSmallWithActivation, NEDepthwiseConvolutionLayerQuantizedFixture<uint8_t>, framework::DatasetMode::PRECOMMIT, + combine(datasets::SmallDepthwiseConvolutionLayerDataset(), + depth_multipliers, + make("DataType", DataType::QASYMM8), + input_qinfo_dataset, + make("DstQuantizationInfo", { QuantizationInfo(0.5f, 4) }), + make("DataLayout", { DataLayout::NHWC }), + ActivationFunctionsQuantizedSmallDataset)) { validate(Accessor(_target), _reference, tolerance_qasymm8); } FIXTURE_DATA_TEST_CASE_NEW(RunMixedDataLayout, NEDepthwiseConvolutionLayerQuantizedMixedDataLayoutFixture<uint8_t>, framework::DatasetMode::PRECOMMIT, - combine(combine(combine(combine(combine(combine(datasets::SmallDepthwiseConvolutionLayerDataset(), - framework::dataset::make("DepthMultiplier", { 2 })), - framework::dataset::make("DataType", DataType::QASYMM8)), - input_qinfo_dataset), - framework::dataset::make("DstQuantizationInfo", { QuantizationInfo(0.5f, 4) })), - framework::dataset::make("DataLayout", { DataLayout::NHWC })), - framework::dataset::make("ActivationInfo", ActivationLayerInfo()))) + combine(datasets::SmallDepthwiseConvolutionLayerDataset(), + make("DepthMultiplier", { 2 }), + make("DataType", DataType::QASYMM8), + IgnoredQuantizationInfo, + IgnoredQuantizationInfo, + make("DataLayout", { DataLayout::NHWC }), + NoActivation)) { validate(Accessor(_target), _reference, tolerance_qasymm8); } TEST_SUITE(Dilation) FIXTURE_DATA_TEST_CASE_NEW(RunSmall, NEDepthwiseConvolutionLayerQuantizedFixture<uint8_t>, framework::DatasetMode::PRECOMMIT, - combine(combine(combine(combine(combine(combine(datasets::SmallDepthwiseDilatedConvolutionLayerDataset(), - depth_multipliers), - framework::dataset::make("DataType", DataType::QASYMM8)), - input_qinfo_dataset), - framework::dataset::make("DstQuantizationInfo", { QuantizationInfo(0.8f, 1) })), - framework::dataset::make("DataLayout", { DataLayout::NHWC })), - ActivationFunctionsDataset)) + combine(datasets::SmallDepthwiseDilatedConvolutionLayerDataset(), + depth_multipliers, + make("DataType", DataType::QASYMM8), + IgnoredQuantizationInfo, + IgnoredQuantizationInfo, + make("DataLayout", { DataLayout::NHWC }), + NoActivation)) +{ + validate(Accessor(_target), _reference, tolerance_qasymm8); +} +FIXTURE_DATA_TEST_CASE_NEW(RunSmallWithActivation, NEDepthwiseConvolutionLayerQuantizedFixture<uint8_t>, framework::DatasetMode::PRECOMMIT, + combine(datasets::SmallDepthwiseDilatedConvolutionLayerDataset(), + depth_multipliers, + make("DataType", DataType::QASYMM8), + input_qinfo_dataset, + make("DstQuantizationInfo", { QuantizationInfo(0.8f, 1) }), + make("DataLayout", { DataLayout::NHWC }), + ActivationFunctionsDataset)) { validate(Accessor(_target), _reference, tolerance_qasymm8); } FIXTURE_DATA_TEST_CASE_NEW(RunLarge, NEDepthwiseConvolutionLayerQuantizedFixture<uint8_t>, framework::DatasetMode::NIGHTLY, - combine(combine(combine(combine(combine(combine(datasets::LargeDepthwiseDilatedConvolutionLayerDataset(), - large_depth_multipliers), - framework::dataset::make("DataType", DataType::QASYMM8)), - input_qinfo_dataset), - framework::dataset::make("DstQuantizationInfo", { QuantizationInfo(0.9f, 11) })), - framework::dataset::make("DataLayout", { DataLayout::NHWC })), - ActivationFunctionsDataset)) + combine(datasets::LargeDepthwiseDilatedConvolutionLayerDataset(), + large_depth_multipliers, + make("DataType", DataType::QASYMM8), + IgnoredQuantizationInfo, + IgnoredQuantizationInfo, + make("DataLayout", { DataLayout::NHWC }), + NoActivation)) { validate(Accessor(_target), _reference, tolerance_qasymm8); } @@ -576,47 +711,66 @@ TEST_SUITE_END() // Dilation TEST_SUITE_END() // Generic TEST_SUITE(W3x3) FIXTURE_DATA_TEST_CASE_NEW(RunSmall, NEDepthwiseConvolutionLayerQuantizedFixture<uint8_t>, framework::DatasetMode::PRECOMMIT, - combine(combine(combine(combine(combine(combine(datasets::SmallDepthwiseConvolutionLayerDataset3x3(), depth_multipliers), - framework::dataset::make("DataType", DataType::QASYMM8)), - input_qinfo_dataset), - framework::dataset::make("DstQuantizationInfo", { QuantizationInfo(0.5f, 10) })), - framework::dataset::make("DataLayout", { DataLayout::NHWC })), - ActivationFunctionsDataset)) + combine(datasets::SmallDepthwiseConvolutionLayerDataset3x3(), depth_multipliers, + make("DataType", DataType::QASYMM8), + IgnoredQuantizationInfo, + IgnoredQuantizationInfo, + make("DataLayout", { DataLayout::NHWC }), + NoActivation)) +{ + validate(Accessor(_target), _reference, tolerance_qasymm8); +} +FIXTURE_DATA_TEST_CASE_NEW(RunSmallWithActivation, NEDepthwiseConvolutionLayerQuantizedFixture<uint8_t>, framework::DatasetMode::PRECOMMIT, + combine(datasets::SmallDepthwiseConvolutionLayerDataset3x3(), depth_multipliers, + make("DataType", DataType::QASYMM8), + input_qinfo_dataset, + make("DstQuantizationInfo", { QuantizationInfo(0.5f, 10) }), + make("DataLayout", { DataLayout::NHWC }), + ActivationFunctionsQuantizedSmallDataset)) { validate(Accessor(_target), _reference, tolerance_qasymm8); } FIXTURE_DATA_TEST_CASE_NEW(RunLarge, NEDepthwiseConvolutionLayerQuantizedFixture<uint8_t>, framework::DatasetMode::NIGHTLY, - combine(combine(combine(combine(combine(combine(datasets::LargeDepthwiseConvolutionLayerDataset3x3(), - large_depth_multipliers), - framework::dataset::make("DataType", DataType::QASYMM8)), - input_qinfo_dataset), - framework::dataset::make("DstQuantizationInfo", { QuantizationInfo(0.5f, 10) })), - framework::dataset::make("DataLayout", { DataLayout::NHWC })), - ActivationFunctionsDataset)) + combine(datasets::LargeDepthwiseConvolutionLayerDataset3x3(), + large_depth_multipliers, + make("DataType", DataType::QASYMM8), + IgnoredQuantizationInfo, + IgnoredQuantizationInfo, + make("DataLayout", { DataLayout::NHWC }), + NoActivation)) { validate(Accessor(_target), _reference, tolerance_qasymm8); } TEST_SUITE(Dilation) - FIXTURE_DATA_TEST_CASE_NEW(RunSmall, NEDepthwiseConvolutionLayerQuantizedFixture<uint8_t>, framework::DatasetMode::PRECOMMIT, - combine(combine(combine(combine(combine(combine(datasets::SmallDepthwiseDilatedConvolutionLayerDataset3x3(), depth_multipliers), - framework::dataset::make("DataType", DataType::QASYMM8)), - input_qinfo_dataset), - framework::dataset::make("DstQuantizationInfo", { QuantizationInfo(0.7f, 10) })), - framework::dataset::make("DataLayout", { DataLayout::NHWC })), - ActivationFunctionsDataset)) + combine(datasets::SmallDepthwiseDilatedConvolutionLayerDataset3x3(), depth_multipliers, + make("DataType", DataType::QASYMM8), + IgnoredQuantizationInfo, + IgnoredQuantizationInfo, + make("DataLayout", { DataLayout::NHWC }), + NoActivation)) +{ + validate(Accessor(_target), _reference, tolerance_qasymm8); +} +FIXTURE_DATA_TEST_CASE_NEW(RunSmallWithActivation, NEDepthwiseConvolutionLayerQuantizedFixture<uint8_t>, framework::DatasetMode::PRECOMMIT, + combine(datasets::SmallDepthwiseDilatedConvolutionLayerDataset3x3(), depth_multipliers, + make("DataType", DataType::QASYMM8), + input_qinfo_dataset, + make("DstQuantizationInfo", { QuantizationInfo(0.7f, 10) }), + make("DataLayout", { DataLayout::NHWC }), + ActivationFunctionsQuantizedSmallDataset)) { validate(Accessor(_target), _reference, tolerance_qasymm8); } FIXTURE_DATA_TEST_CASE_NEW(RunLarge, NEDepthwiseConvolutionLayerQuantizedFixture<uint8_t>, framework::DatasetMode::NIGHTLY, - combine(combine(combine(combine(combine(combine(datasets::LargeDepthwiseDilatedConvolutionLayerDataset3x3(), - large_depth_multipliers), - framework::dataset::make("DataType", DataType::QASYMM8)), - input_qinfo_dataset), - framework::dataset::make("DstQuantizationInfo", { QuantizationInfo(0.5f, 10) })), - framework::dataset::make("DataLayout", { DataLayout::NHWC })), - ActivationFunctionsDataset)) + combine(datasets::LargeDepthwiseDilatedConvolutionLayerDataset3x3(), + large_depth_multipliers, + make("DataType", DataType::QASYMM8), + IgnoredQuantizationInfo, + IgnoredQuantizationInfo, + make("DataLayout", { DataLayout::NHWC }), + NoActivation)) { validate(Accessor(_target), _reference, tolerance_qasymm8); } @@ -625,48 +779,68 @@ TEST_SUITE_END() // W3x3 TEST_SUITE(Optimized) FIXTURE_DATA_TEST_CASE_NEW(RunSmall3x3, NEDepthwiseConvolutionLayerQuantizedFixture<uint8_t>, framework::DatasetMode::PRECOMMIT, - combine(combine(combine(combine(combine(combine(datasets::SmallOptimizedDepthwiseConvolutionLayerDataset3x3(), - framework::dataset::make("DepthMultiplier", 1)), - framework::dataset::make("DataType", DataType::QASYMM8)), - input_qinfo_dataset), - framework::dataset::make("DstQuantizationInfo", { QuantizationInfo(0.5f, 10) })), - framework::dataset::make("DataLayout", { DataLayout::NHWC })), - ActivationFunctionsDataset)) + combine(datasets::SmallOptimizedDepthwiseConvolutionLayerDataset3x3(), + make("DepthMultiplier", 1), + make("DataType", DataType::QASYMM8), + IgnoredQuantizationInfo, + IgnoredQuantizationInfo, + make("DataLayout", { DataLayout::NHWC }), + NoActivation)) +{ + validate(Accessor(_target), _reference, tolerance_qasymm8); +} +FIXTURE_DATA_TEST_CASE_NEW(RunSmall3x3WithActivation, NEDepthwiseConvolutionLayerQuantizedFixture<uint8_t>, framework::DatasetMode::PRECOMMIT, + combine(datasets::SmallOptimizedDepthwiseConvolutionLayerDataset3x3(), + make("DepthMultiplier", 1), + make("DataType", DataType::QASYMM8), + input_qinfo_dataset, + make("DstQuantizationInfo", { QuantizationInfo(0.5f, 10) }), + make("DataLayout", { DataLayout::NHWC }), + ActivationFunctionsQuantizedSmallDataset)) { validate(Accessor(_target), _reference, tolerance_qasymm8); } FIXTURE_DATA_TEST_CASE_NEW(RunMixedDataLayout3x3, NEDepthwiseConvolutionLayerQuantizedMixedDataLayoutFixture<uint8_t>, framework::DatasetMode::PRECOMMIT, - combine(combine(combine(combine(combine(combine(datasets::SmallOptimizedDepthwiseConvolutionLayerDataset3x3(), - framework::dataset::make("DepthMultiplier", 1)), - framework::dataset::make("DataType", DataType::QASYMM8)), - input_qinfo_dataset), - framework::dataset::make("DstQuantizationInfo", { QuantizationInfo(0.5f, 10) })), - framework::dataset::make("DataLayout", { DataLayout::NHWC })), - framework::dataset::make("ActivationInfo", ActivationLayerInfo()))) + combine(datasets::SmallOptimizedDepthwiseConvolutionLayerDataset3x3(), + make("DepthMultiplier", 1), + make("DataType", DataType::QASYMM8), + IgnoredQuantizationInfo, + IgnoredQuantizationInfo, + make("DataLayout", { DataLayout::NHWC }), + NoActivation)) { validate(Accessor(_target), _reference, tolerance_qasymm8); } FIXTURE_DATA_TEST_CASE_NEW(RunSmall5x5, NEDepthwiseConvolutionLayerQuantizedFixture<uint8_t>, framework::DatasetMode::PRECOMMIT, - combine(combine(combine(combine(combine(combine(datasets::SmallOptimizedDepthwiseConvolutionLayerDataset5x5(), - framework::dataset::make("DepthMultiplier", 1)), - framework::dataset::make("DataType", - DataType::QASYMM8)), - input_qinfo_dataset), - framework::dataset::make("DstQuantizationInfo", { QuantizationInfo(0.5f, 10) })), - framework::dataset::make("DataLayout", { DataLayout::NHWC })), - ActivationFunctionsDataset)) + combine(datasets::SmallOptimizedDepthwiseConvolutionLayerDataset5x5(), + make("DepthMultiplier", 1), + make("DataType", DataType::QASYMM8), + IgnoredQuantizationInfo, + IgnoredQuantizationInfo, + make("DataLayout", { DataLayout::NHWC }), + NoActivation)) +{ + validate(Accessor(_target), _reference, tolerance_qasymm8); +} +FIXTURE_DATA_TEST_CASE_NEW(RunSmall5x5WithActivation, NEDepthwiseConvolutionLayerQuantizedFixture<uint8_t>, framework::DatasetMode::PRECOMMIT, + combine(datasets::SmallOptimizedDepthwiseConvolutionLayerDataset5x5(), + make("DepthMultiplier", 1), + make("DataType", DataType::QASYMM8), + input_qinfo_dataset, + make("DstQuantizationInfo", { QuantizationInfo(0.5f, 10) }), + make("DataLayout", { DataLayout::NHWC }), + ActivationFunctionsQuantizedSmallDataset)) { validate(Accessor(_target), _reference, tolerance_qasymm8); } FIXTURE_DATA_TEST_CASE_NEW(RunLarge3x3, NEDepthwiseConvolutionLayerQuantizedFixture<uint8_t>, framework::DatasetMode::NIGHTLY, - combine(combine(combine(combine(combine(combine(datasets::LargeOptimizedDepthwiseConvolutionLayerDataset3x3(), - framework::dataset::make("DepthMultiplier", 1)), - framework::dataset::make("DataType", - DataType::QASYMM8)), - input_qinfo_dataset), - framework::dataset::make("DstQuantizationInfo", { QuantizationInfo(0.5f, 10) })), - framework::dataset::make("DataLayout", { DataLayout::NHWC })), - ActivationFunctionsDataset)) + combine(datasets::LargeOptimizedDepthwiseConvolutionLayerDataset3x3(), + make("DepthMultiplier", 1), + make("DataType", DataType::QASYMM8), + IgnoredQuantizationInfo, + IgnoredQuantizationInfo, + make("DataLayout", { DataLayout::NHWC }), + NoActivation)) { validate(Accessor(_target), _reference, tolerance_qasymm8); } @@ -674,143 +848,242 @@ TEST_SUITE_END() // Optimized TEST_SUITE_END() // QASYMM8 TEST_SUITE(QASYMM8_SIGNED) -TEST_SUITE(Generic) -FIXTURE_DATA_TEST_CASE_NEW(RunSmall, NEDepthwiseConvolutionLayerQuantizedFixture<int8_t>, framework::DatasetMode::PRECOMMIT, - combine(combine(combine(combine(combine(combine(datasets::SmallDepthwiseConvolutionLayerDataset(), - depth_multipliers), - framework::dataset::make("DataType", DataType::QASYMM8_SIGNED)), - input_qinfo_dataset), - framework::dataset::make("DstQuantizationInfo", { QuantizationInfo(0.5f, 4) })), - framework::dataset::make("DataLayout", { DataLayout::NCHW })), - ActivationFunctionsDataset)) + +FIXTURE_DATA_TEST_CASE_NEW(RunActivations, NEDepthwiseConvolutionLayerQuantizedFixture<int8_t>, framework::DatasetMode::NIGHTLY, + combine( + make("In", TensorShape(33U, 27U, 11U, 3U)), + make("Weights", Size2D(3U, 4U)), + make("Info", PadStrideInfo(1, 2, 0, 1)), + make("Dilation", Size2D(2U, 2U)), + make("DepthMultiplier", { 5 }), + make("DataType", DataType::QASYMM8_SIGNED), + make("SrcQuantizationInfo", { QuantizationInfo(0.3f, 10) }), + make("DstQuantizationInfo", { QuantizationInfo(0.05f, 4) }), + make("DataLayout", { DataLayout::NHWC, DataLayout::NCHW }), + ActivationFunctionsQuantizedDataset)) { validate(Accessor(_target), _reference, tolerance_qasymm8); } +TEST_SUITE(Generic) +FIXTURE_DATA_TEST_CASE_NEW(RunSmall, NEDepthwiseConvolutionLayerQuantizedFixture<int8_t>, framework::DatasetMode::PRECOMMIT, + combine(datasets::SmallDepthwiseConvolutionLayerDataset(), + depth_multipliers, + make("DataType", DataType::QASYMM8_SIGNED), + IgnoredQuantizationInfo, + IgnoredQuantizationInfo, + make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC }), + NoActivation)) +{ + validate(Accessor(_target), _reference, tolerance_qasymm8_signed); +} +FIXTURE_DATA_TEST_CASE_NEW(RunSmallWithActivation, NEDepthwiseConvolutionLayerQuantizedFixture<int8_t>, framework::DatasetMode::PRECOMMIT, + combine(datasets::SmallDepthwiseConvolutionLayerDataset(), + depth_multipliers, + make("DataType", DataType::QASYMM8_SIGNED), + input_qinfo_dataset, + make("DstQuantizationInfo", { QuantizationInfo(0.5f, 4) }), + make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC }), + ActivationFunctionsQuantizedSmallDataset)) +{ + validate(Accessor(_target), _reference, tolerance_qasymm8_signed); +} TEST_SUITE(Dilation) FIXTURE_DATA_TEST_CASE_NEW(RunSmall, NEDepthwiseConvolutionLayerQuantizedFixture<int8_t>, framework::DatasetMode::PRECOMMIT, - combine(combine(combine(combine(combine(combine(datasets::SmallDepthwiseDilatedConvolutionLayerDataset(), - depth_multipliers), - framework::dataset::make("DataType", DataType::QASYMM8_SIGNED)), - input_qinfo_dataset), - framework::dataset::make("DstQuantizationInfo", { QuantizationInfo(0.8f, 1) })), - framework::dataset::make("DataLayout", { DataLayout::NCHW })), - ActivationFunctionsDataset)) + combine(datasets::SmallDepthwiseDilatedConvolutionLayerDataset(), + depth_multipliers, + make("DataType", DataType::QASYMM8_SIGNED), + IgnoredQuantizationInfo, + IgnoredQuantizationInfo, + make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC }), + NoActivation)) { - validate(Accessor(_target), _reference, tolerance_qasymm8); + validate(Accessor(_target), _reference, tolerance_qasymm8_signed); +} +FIXTURE_DATA_TEST_CASE_NEW(RunSmallWithActivation, NEDepthwiseConvolutionLayerQuantizedFixture<int8_t>, framework::DatasetMode::PRECOMMIT, + combine(datasets::SmallDepthwiseDilatedConvolutionLayerDataset(), + depth_multipliers, + make("DataType", DataType::QASYMM8_SIGNED), + input_qinfo_dataset, + make("DstQuantizationInfo", { QuantizationInfo(0.8f, 1) }), + make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC }), + ActivationFunctionsQuantizedSmallDataset)) +{ + validate(Accessor(_target), _reference, tolerance_qasymm8_signed); } FIXTURE_DATA_TEST_CASE_NEW(RunLarge, NEDepthwiseConvolutionLayerQuantizedFixture<int8_t>, framework::DatasetMode::NIGHTLY, - combine(combine(combine(combine(combine(combine(datasets::LargeDepthwiseDilatedConvolutionLayerDataset(), - large_depth_multipliers), - framework::dataset::make("DataType", DataType::QASYMM8_SIGNED)), - input_qinfo_dataset), - framework::dataset::make("DstQuantizationInfo", { QuantizationInfo(0.9f, 11) })), - framework::dataset::make("DataLayout", { DataLayout::NCHW })), - ActivationFunctionsDataset)) + combine(datasets::LargeDepthwiseDilatedConvolutionLayerDataset(), + large_depth_multipliers, + make("DataType", DataType::QASYMM8_SIGNED), + IgnoredQuantizationInfo, + IgnoredQuantizationInfo, + make("DataLayout", { DataLayout::NCHW }), + NoActivation)) { - validate(Accessor(_target), _reference, tolerance_qasymm8); + validate(Accessor(_target), _reference, tolerance_qasymm8_signed); } TEST_SUITE_END() // Dilation TEST_SUITE_END() // Generic TEST_SUITE(W3x3) FIXTURE_DATA_TEST_CASE_NEW(RunSmall, NEDepthwiseConvolutionLayerQuantizedFixture<int8_t>, framework::DatasetMode::PRECOMMIT, - combine(combine(combine(combine(combine(combine(datasets::SmallDepthwiseConvolutionLayerDataset3x3(), depth_multipliers), - framework::dataset::make("DataType", DataType::QASYMM8_SIGNED)), - input_qinfo_dataset), - framework::dataset::make("DstQuantizationInfo", { QuantizationInfo(0.5f, 10) })), - framework::dataset::make("DataLayout", { DataLayout::NCHW })), - ActivationFunctionsDataset)) + combine(datasets::SmallDepthwiseConvolutionLayerDataset3x3(), + depth_multipliers, + make("DataType", DataType::QASYMM8_SIGNED), + IgnoredQuantizationInfo, + IgnoredQuantizationInfo, + make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC }), + NoActivation)) { - validate(Accessor(_target), _reference, tolerance_qasymm8); + validate(Accessor(_target), _reference, tolerance_qasymm8_signed); +} +FIXTURE_DATA_TEST_CASE_NEW(RunSmallWithActivation, NEDepthwiseConvolutionLayerQuantizedFixture<int8_t>, framework::DatasetMode::PRECOMMIT, + combine(datasets::SmallDepthwiseConvolutionLayerDataset3x3(), + depth_multipliers, + make("DataType", DataType::QASYMM8_SIGNED), + input_qinfo_dataset, + make("DstQuantizationInfo", { QuantizationInfo(0.5f, 10) }), + make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC }), + ActivationFunctionsQuantizedSmallDataset)) +{ + validate(Accessor(_target), _reference, tolerance_qasymm8_signed); } FIXTURE_DATA_TEST_CASE_NEW(RunLarge, NEDepthwiseConvolutionLayerQuantizedFixture<int8_t>, framework::DatasetMode::NIGHTLY, - combine(combine(combine(combine(combine(combine(datasets::LargeDepthwiseConvolutionLayerDataset3x3(), - large_depth_multipliers), - framework::dataset::make("DataType", DataType::QASYMM8_SIGNED)), - input_qinfo_dataset), - framework::dataset::make("DstQuantizationInfo", { QuantizationInfo(0.5f, 10) })), - framework::dataset::make("DataLayout", { DataLayout::NCHW })), - ActivationFunctionsDataset)) + combine(datasets::LargeDepthwiseConvolutionLayerDataset3x3(), + large_depth_multipliers, + make("DataType", DataType::QASYMM8_SIGNED), + IgnoredQuantizationInfo, + IgnoredQuantizationInfo, + make("DataLayout", { DataLayout::NCHW }), + NoActivation)) { - validate(Accessor(_target), _reference, tolerance_qasymm8); + validate(Accessor(_target), _reference, tolerance_qasymm8_signed); } TEST_SUITE(Dilation) FIXTURE_DATA_TEST_CASE_NEW(RunSmall, NEDepthwiseConvolutionLayerQuantizedFixture<int8_t>, framework::DatasetMode::PRECOMMIT, - combine(combine(combine(combine(combine(combine(datasets::SmallDepthwiseDilatedConvolutionLayerDataset3x3(), depth_multipliers), - framework::dataset::make("DataType", DataType::QASYMM8_SIGNED)), - input_qinfo_dataset), - framework::dataset::make("DstQuantizationInfo", { QuantizationInfo(0.7f, 10) })), - framework::dataset::make("DataLayout", { DataLayout::NCHW })), - ActivationFunctionsDataset)) + combine(datasets::SmallDepthwiseDilatedConvolutionLayerDataset3x3(), + depth_multipliers, + make("DataType", DataType::QASYMM8_SIGNED), + IgnoredQuantizationInfo, + IgnoredQuantizationInfo, + make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC }), + NoActivation)) { - validate(Accessor(_target), _reference, tolerance_qasymm8); + validate(Accessor(_target), _reference, tolerance_qasymm8_signed); +} +FIXTURE_DATA_TEST_CASE_NEW(RunSmallWithActivation, NEDepthwiseConvolutionLayerQuantizedFixture<int8_t>, framework::DatasetMode::PRECOMMIT, + combine(datasets::SmallDepthwiseDilatedConvolutionLayerDataset3x3(), + depth_multipliers, + make("DataType", DataType::QASYMM8_SIGNED), + input_qinfo_dataset, + make("DstQuantizationInfo", { QuantizationInfo(0.7f, 10) }), + make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC }), + ActivationFunctionsQuantizedSmallDataset)) +{ + validate(Accessor(_target), _reference, tolerance_qasymm8_signed); } FIXTURE_DATA_TEST_CASE_NEW(RunLarge, NEDepthwiseConvolutionLayerQuantizedFixture<int8_t>, framework::DatasetMode::NIGHTLY, - combine(combine(combine(combine(combine(combine(datasets::LargeDepthwiseDilatedConvolutionLayerDataset3x3(), - large_depth_multipliers), - framework::dataset::make("DataType", DataType::QASYMM8_SIGNED)), - input_qinfo_dataset), - framework::dataset::make("DstQuantizationInfo", { QuantizationInfo(0.5f, 10) })), - framework::dataset::make("DataLayout", { DataLayout::NCHW })), - ActivationFunctionsDataset)) + combine(datasets::LargeDepthwiseDilatedConvolutionLayerDataset3x3(), + large_depth_multipliers, + make("DataType", DataType::QASYMM8_SIGNED), + IgnoredQuantizationInfo, + IgnoredQuantizationInfo, + make("DataLayout", { DataLayout::NCHW }), + NoActivation)) { - validate(Accessor(_target), _reference, tolerance_qasymm8); + validate(Accessor(_target), _reference, tolerance_qasymm8_signed); } TEST_SUITE_END() // Dilation TEST_SUITE_END() // W3x3 TEST_SUITE(Optimized) FIXTURE_DATA_TEST_CASE_NEW(RunSmall3x3, NEDepthwiseConvolutionLayerQuantizedFixture<int8_t>, framework::DatasetMode::PRECOMMIT, - combine(combine(combine(combine(combine(combine(datasets::SmallOptimizedDepthwiseConvolutionLayerDataset3x3(), - framework::dataset::make("DepthMultiplier", 1)), - framework::dataset::make("DataType", - DataType::QASYMM8_SIGNED)), - input_qinfo_dataset), - framework::dataset::make("DstQuantizationInfo", { QuantizationInfo(0.5f, 10) })), - framework::dataset::make("DataLayout", { DataLayout::NCHW })), - ActivationFunctionsDataset)) + combine(datasets::SmallOptimizedDepthwiseConvolutionLayerDataset3x3(), + make("DepthMultiplier", 1), + make("DataType", DataType::QASYMM8_SIGNED), + IgnoredQuantizationInfo, + IgnoredQuantizationInfo, + make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC }), + NoActivation)) { - validate(Accessor(_target), _reference, tolerance_qasymm8); + validate(Accessor(_target), _reference, tolerance_qasymm8_signed); +} +FIXTURE_DATA_TEST_CASE_NEW(RunSmall3x3WithActivation, NEDepthwiseConvolutionLayerQuantizedFixture<int8_t>, framework::DatasetMode::PRECOMMIT, + combine(datasets::SmallOptimizedDepthwiseConvolutionLayerDataset3x3(), + make("DepthMultiplier", 1), + make("DataType", DataType::QASYMM8_SIGNED), + input_qinfo_dataset, + make("DstQuantizationInfo", { QuantizationInfo(0.5f, 10) }), + make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC }), + ActivationFunctionsQuantizedSmallDataset)) +{ + validate(Accessor(_target), _reference, tolerance_qasymm8_signed); } FIXTURE_DATA_TEST_CASE_NEW(RunSmall5x5, NEDepthwiseConvolutionLayerQuantizedFixture<int8_t>, framework::DatasetMode::PRECOMMIT, - combine(combine(combine(combine(combine(combine(datasets::SmallOptimizedDepthwiseConvolutionLayerDataset5x5(), - framework::dataset::make("DepthMultiplier", 1)), - framework::dataset::make("DataType", - DataType::QASYMM8_SIGNED)), - input_qinfo_dataset), - framework::dataset::make("DstQuantizationInfo", { QuantizationInfo(0.5f, 10) })), - framework::dataset::make("DataLayout", { DataLayout::NCHW })), - ActivationFunctionsDataset)) + combine(datasets::SmallOptimizedDepthwiseConvolutionLayerDataset5x5(), + make("DepthMultiplier", 1), + make("DataType", DataType::QASYMM8_SIGNED), + IgnoredQuantizationInfo, + IgnoredQuantizationInfo, + make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC }), + NoActivation)) { - validate(Accessor(_target), _reference, tolerance_qasymm8); + validate(Accessor(_target), _reference, tolerance_qasymm8_signed); +} +FIXTURE_DATA_TEST_CASE_NEW(RunSmall5x5WithActivation, NEDepthwiseConvolutionLayerQuantizedFixture<int8_t>, framework::DatasetMode::PRECOMMIT, + combine(datasets::SmallOptimizedDepthwiseConvolutionLayerDataset5x5(), + make("DepthMultiplier", 1), + make("DataType", DataType::QASYMM8_SIGNED), + input_qinfo_dataset, + make("DstQuantizationInfo", { QuantizationInfo(0.5f, 10) }), + make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC }), + ActivationFunctionsQuantizedSmallDataset)) +{ + validate(Accessor(_target), _reference, tolerance_qasymm8_signed); } FIXTURE_DATA_TEST_CASE_NEW(RunLarge3x3, NEDepthwiseConvolutionLayerQuantizedFixture<int8_t>, framework::DatasetMode::NIGHTLY, - combine(combine(combine(combine(combine(combine(datasets::LargeOptimizedDepthwiseConvolutionLayerDataset3x3(), - framework::dataset::make("DepthMultiplier", 1)), - framework::dataset::make("DataType", - DataType::QASYMM8_SIGNED)), - input_qinfo_dataset), - framework::dataset::make("DstQuantizationInfo", { QuantizationInfo(0.5f, 10) })), - framework::dataset::make("DataLayout", { DataLayout::NCHW })), - ActivationFunctionsDataset)) + combine(datasets::LargeOptimizedDepthwiseConvolutionLayerDataset3x3(), + make("DepthMultiplier", 1), + make("DataType", DataType::QASYMM8_SIGNED), + IgnoredQuantizationInfo, + IgnoredQuantizationInfo, + make("DataLayout", { DataLayout::NCHW }), + NoActivation)) { - validate(Accessor(_target), _reference, tolerance_qasymm8); + validate(Accessor(_target), _reference, tolerance_qasymm8_signed); } TEST_SUITE_END() // Optimized TEST_SUITE_END() // QASYMM8_SIGNED TEST_SUITE(QSYMM8_PER_CHANNEL) + +FIXTURE_DATA_TEST_CASE_NEW(RunActivations, NEDepthwiseConvolutionLayerQuantizedSymmetricPerChannelFixture, framework::DatasetMode::NIGHTLY, + combine( + make("In", TensorShape(33U, 27U, 11U, 3U)), + make("Weights", Size2D(3U, 4U)), + make("Info", PadStrideInfo(1, 2, 0, 1)), + make("Dilation", Size2D(2U, 2U)), + make("DepthMultiplier", { 5 }), + make("InputDataType", DataType::QASYMM8), + make("WeightsDataType", DataType::QSYMM8_PER_CHANNEL), + make("SrcQuantizationInfo", { QuantizationInfo(0.3f, 10) }), + make("DstQuantizationInfo", { QuantizationInfo(0.05f, 4) }), + make("DataLayout", { DataLayout::NHWC, DataLayout::NCHW }), + ActivationFunctionsQuantizedDataset)) +{ + validate(Accessor(_target), _reference, tolerance_qasymm8); +} + TEST_SUITE(Generic) FIXTURE_DATA_TEST_CASE_NEW(RunSmall, NEDepthwiseConvolutionLayerQuantizedSymmetricPerChannelFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(combine(combine(combine(datasets::SmallDepthwiseConvolutionLayerDataset(), depth_multipliers), - framework::dataset::make("InputDataType", DataType::QASYMM8)), - framework::dataset::make("WeightsDataType", DataType::QSYMM8_PER_CHANNEL)), + make("InputDataType", DataType::QASYMM8)), + make("WeightsDataType", DataType::QSYMM8_PER_CHANNEL)), input_qinfo_dataset), - framework::dataset::make("DstQuantizationInfo", { QuantizationInfo(0.5f, 4) })), - framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })), + make("DstQuantizationInfo", { QuantizationInfo(0.5f, 4) })), + make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })), ActivationFunctionsDataset)) { validate(Accessor(_target), _reference, tolerance_qasymm8); @@ -820,11 +1093,11 @@ TEST_SUITE(Dilation) FIXTURE_DATA_TEST_CASE_NEW(RunSmall, NEDepthwiseConvolutionLayerQuantizedSymmetricPerChannelFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(combine(combine(combine(datasets::SmallDepthwiseDilatedConvolutionLayerDataset(), depth_multipliers), - framework::dataset::make("InputDataType", DataType::QASYMM8)), - framework::dataset::make("WeightsDataType", DataType::QSYMM8_PER_CHANNEL)), + make("InputDataType", DataType::QASYMM8)), + make("WeightsDataType", DataType::QSYMM8_PER_CHANNEL)), input_qinfo_dataset), - framework::dataset::make("DstQuantizationInfo", { QuantizationInfo(0.5f, 4) })), - framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })), + make("DstQuantizationInfo", { QuantizationInfo(0.5f, 4) })), + make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })), ActivationFunctionsDataset)) { validate(Accessor(_target), _reference, tolerance_qasymm8); @@ -832,12 +1105,12 @@ FIXTURE_DATA_TEST_CASE_NEW(RunSmall, NEDepthwiseConvolutionLayerQuantizedSymmetr FIXTURE_DATA_TEST_CASE_NEW(RunLarge, NEDepthwiseConvolutionLayerQuantizedSymmetricPerChannelFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(combine(combine(datasets::LargeDepthwiseDilatedConvolutionLayerDataset(), depth_multipliers), - framework::dataset::make("InputDataType", DataType::QASYMM8)), - framework::dataset::make("WeightsDataType", DataType::QSYMM8_PER_CHANNEL)), + make("InputDataType", DataType::QASYMM8)), + make("WeightsDataType", DataType::QSYMM8_PER_CHANNEL)), input_qinfo_dataset), - framework::dataset::make("DstQuantizationInfo", { QuantizationInfo(0.5f, 4) })), - framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })), - ActivationFunctionsDataset)) + make("DstQuantizationInfo", { QuantizationInfo(0.5f, 4) })), + make("DataLayout", { DataLayout::NHWC })), + make("ActivationInfo", { ActivationLayerInfo() }))) { validate(Accessor(_target), _reference, tolerance_qasymm8); } @@ -847,25 +1120,25 @@ TEST_SUITE_END() // Generic TEST_SUITE(Optimized) FIXTURE_DATA_TEST_CASE_NEW(RunSmall3x3, NEDepthwiseConvolutionLayerQuantizedSymmetricPerChannelFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(combine(combine(combine(datasets::SmallOptimizedDepthwiseConvolutionLayerDataset3x3(), - framework::dataset::make("DepthMultiplier", 1)), - framework::dataset::make("InputDataType", DataType::QASYMM8)), - framework::dataset::make("WeightsDataType", DataType::QSYMM8_PER_CHANNEL)), + make("DepthMultiplier", 1)), + make("InputDataType", DataType::QASYMM8)), + make("WeightsDataType", DataType::QSYMM8_PER_CHANNEL)), input_qinfo_dataset), - framework::dataset::make("DstQuantizationInfo", { QuantizationInfo(0.5f, 4) })), - framework::dataset::make("DataLayout", { DataLayout::NHWC })), + make("DstQuantizationInfo", { QuantizationInfo(0.5f, 4) })), + make("DataLayout", { DataLayout::NHWC })), ActivationFunctionsDataset)) { validate(Accessor(_target), _reference, tolerance_qasymm8); } FIXTURE_DATA_TEST_CASE_NEW(RunLarge3x3, NEDepthwiseConvolutionLayerQuantizedSymmetricPerChannelFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(combine(combine(datasets::LargeOptimizedDepthwiseConvolutionLayerDataset3x3(), - framework::dataset::make("DepthMultiplier", 1)), - framework::dataset::make("InputDataType", DataType::QASYMM8)), - framework::dataset::make("WeightsDataType", DataType::QSYMM8_PER_CHANNEL)), + make("DepthMultiplier", 1)), + make("InputDataType", DataType::QASYMM8)), + make("WeightsDataType", DataType::QSYMM8_PER_CHANNEL)), input_qinfo_dataset), - framework::dataset::make("DstQuantizationInfo", { QuantizationInfo(0.5f, 4) })), - framework::dataset::make("DataLayout", { DataLayout::NHWC })), - ActivationFunctionsDataset)) + make("DstQuantizationInfo", { QuantizationInfo(0.5f, 4) })), + make("DataLayout", { DataLayout::NHWC })), + make("ActivationInfo", { ActivationLayerInfo() }))) { validate(Accessor(_target), _reference, tolerance_qasymm8); } |