diff options
Diffstat (limited to 'tests/validation/CL/DepthwiseConvolutionLayer.cpp')
-rw-r--r-- | tests/validation/CL/DepthwiseConvolutionLayer.cpp | 851 |
1 files changed, 533 insertions, 318 deletions
diff --git a/tests/validation/CL/DepthwiseConvolutionLayer.cpp b/tests/validation/CL/DepthwiseConvolutionLayer.cpp index b2009c26ad..d4dbcec9d9 100644 --- a/tests/validation/CL/DepthwiseConvolutionLayer.cpp +++ b/tests/validation/CL/DepthwiseConvolutionLayer.cpp @@ -1,5 +1,5 @@ /* - * Copyright (c) 2017-2021 Arm Limited. + * Copyright (c) 2017-2024 Arm Limited. * * SPDX-License-Identifier: MIT * @@ -41,6 +41,9 @@ namespace test { namespace validation { + +using framework::dataset::make; + namespace { RelativeTolerance<half_float::half> tolerance_f16(half_float::half(0.01)); /**< Tolerance value for comparing reference's output against implementation's output for DataType::F16 */ @@ -48,16 +51,47 @@ constexpr RelativeTolerance<float> tolerance_f32(0.01f); /**< constexpr AbsoluteTolerance<uint8_t> tolerance_qasymm8(0); /**< Tolerance value for comparing reference's output against implementation's output for DataType::QASYMM8 */ constexpr float tolerance_num = 0.05f; /**< Tolerance number */ -const auto depth_multipliers = framework::dataset::make("DepthMultiplier", { 1, 2, 5 }); -const auto large_depth_multipliers = framework::dataset::make("DepthMultiplier", { 1, 2, 5, 8 }); +const auto depth_multipliers = make("DepthMultiplier", { 1, 4 }); +const auto large_depth_multipliers = make("DepthMultiplier", { 2, 5, 8 }); -//Activation Functions -const auto ActivationFunctionsDataset = framework::dataset::make("ActivationInfo", +// Activation Functions +const auto NoActivation = make("ActivationInfo", ActivationLayerInfo()); + +const auto ActivationFunctionsSmallDataset = make("ActivationInfo", { ActivationLayerInfo(), + ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::BOUNDED_RELU, 2.f, 0.f) +}); + +const auto ActivationFunctionsDataset = make("ActivationInfo", +{ + ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), + ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU, 0.8f, -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::HARD_SWISH), + ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LINEAR, 2.f, 1.f), + ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::GELU) +}); + +const auto ActivationFunctionsQuantizedSmallDataset = make("ActivationInfo", +{ + ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::BOUNDED_RELU, 2.f, 0.f) +}); + +const auto ActivationFunctionsQuantizedDataset = make("ActivationInfo", +{ ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), - ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::BOUNDED_RELU, 6.f, 0.f) + ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU, 2.3f, -1.5f), }); + +const auto IgnoredQuantizationInfo = make("IgnoredQuantizationInfo", QuantizationInfo()); + } // namespace TEST_SUITE(CL) @@ -65,85 +99,85 @@ TEST_SUITE(DepthwiseConvolutionLayer) // *INDENT-OFF* // clang-format off -DATA_TEST_CASE(Validate, 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 - 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 - TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), // Invalid biases dimensions - TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), // Invalid output size - TensorInfo(TensorShape(27U, 13U, 8U), 1, DataType::F32), // patch size bigger than input width - TensorInfo(TensorShape(27U, 13U, 8U), 1, DataType::F32), // dilation < 1 - TensorInfo(TensorShape(27U, 13U, 8U), 1, DataType::F32), - TensorInfo(TensorShape(32U, 13U, 8U), 1, DataType::QASYMM8), - }), - framework::dataset::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), - TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32), - TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32), - TensorInfo(TensorShape(3U, 3U, 16U), 1, DataType::F32), - TensorInfo(TensorShape(3U, 3U, 16U), 1, DataType::F32), - TensorInfo(TensorShape(3U, 3U, 16U), 1, DataType::F32), - TensorInfo(TensorShape(3U, 3U, 24U), 1, DataType::QASYMM8), - })), - framework::dataset::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), - TensorInfo(TensorShape(2U, 2U), 1, DataType::F32), - TensorInfo(TensorShape(2U), 1, DataType::F32), - TensorInfo(TensorShape(16U), 1, DataType::F32), - TensorInfo(TensorShape(16U), 1, DataType::F32), - TensorInfo(TensorShape(16U), 1, DataType::F32), - TensorInfo(TensorShape(24U), 1, DataType::S32), - })), - framework::dataset::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), - TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32), - TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), - TensorInfo(TensorShape(25U, 11U, 16U), 1, DataType::F32), - TensorInfo(TensorShape(25U, 11U, 16U), 1, DataType::F32), - TensorInfo(TensorShape(25U, 11U, 16U), 1, DataType::F32), - TensorInfo(TensorShape(32U, 11U, 24U), 1, DataType::QASYMM8), - })), - framework::dataset::make("ConvInfo", { PadStrideInfo(1, 1, 0, 0), - PadStrideInfo(1, 1, 0, 0), - PadStrideInfo(1, 1, 0, 0), - PadStrideInfo(1, 1, 0, 0), - PadStrideInfo(1, 1, 0, 0), - PadStrideInfo(1, 1, 0, 0), - PadStrideInfo(1, 1, 0, 0), - PadStrideInfo(1, 1, 0, 0), - PadStrideInfo(1, 1, 0, 0), - PadStrideInfo(1, 1, 1, 0), - })), - framework::dataset::make("DepthMultiplier", { 1, - 1, - 3, - 1, - 1, - 1, - 2, - 2, - 2, - 3, - })), - framework::dataset::make("Dilation", { Size2D(1U, 1U), - Size2D(1U, 1U), - Size2D(1U, 1U), - Size2D(1U, 1U), - Size2D(1U, 1U), - Size2D(1U, 1U), - Size2D(20U, 1U), - Size2D(0U, 1U), - Size2D(1U, 1U), - Size2D(1U, 1U), - })), - framework::dataset::make("Expected", { false, false, false, false, false, false, false, false, true, true })), +DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip( + 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 + TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), // Invalid biases dimensions + TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), // Invalid output size + TensorInfo(TensorShape(27U, 13U, 8U), 1, DataType::F32), // patch size bigger than input width + TensorInfo(TensorShape(27U, 13U, 8U), 1, DataType::F32), // dilation < 1 + TensorInfo(TensorShape(27U, 13U, 8U), 1, DataType::F32), + TensorInfo(TensorShape(32U, 13U, 8U), 1, DataType::QASYMM8), + }), + 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), + TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32), + TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32), + TensorInfo(TensorShape(3U, 3U, 16U), 1, DataType::F32), + TensorInfo(TensorShape(3U, 3U, 16U), 1, DataType::F32), + TensorInfo(TensorShape(3U, 3U, 16U), 1, DataType::F32), + TensorInfo(TensorShape(3U, 3U, 24U), 1, DataType::QASYMM8), + }), + 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), + TensorInfo(TensorShape(2U, 2U), 1, DataType::F32), + TensorInfo(TensorShape(2U), 1, DataType::F32), + TensorInfo(TensorShape(16U), 1, DataType::F32), + TensorInfo(TensorShape(16U), 1, DataType::F32), + TensorInfo(TensorShape(16U), 1, DataType::F32), + TensorInfo(TensorShape(24U), 1, DataType::S32), + }), + 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), + TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32), + TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), + TensorInfo(TensorShape(25U, 11U, 16U), 1, DataType::F32), + TensorInfo(TensorShape(25U, 11U, 16U), 1, DataType::F32), + TensorInfo(TensorShape(25U, 11U, 16U), 1, DataType::F32), + TensorInfo(TensorShape(32U, 11U, 24U), 1, DataType::QASYMM8), + }), + make("ConvInfo", { PadStrideInfo(1, 1, 0, 0), + PadStrideInfo(1, 1, 0, 0), + PadStrideInfo(1, 1, 0, 0), + PadStrideInfo(1, 1, 0, 0), + PadStrideInfo(1, 1, 0, 0), + PadStrideInfo(1, 1, 0, 0), + PadStrideInfo(1, 1, 0, 0), + PadStrideInfo(1, 1, 0, 0), + PadStrideInfo(1, 1, 0, 0), + PadStrideInfo(1, 1, 1, 0), + }), + make("DepthMultiplier", { 1, + 1, + 3, + 1, + 1, + 1, + 2, + 2, + 2, + 3, + }), + make("Dilation", { Size2D(1U, 1U), + Size2D(1U, 1U), + Size2D(1U, 1U), + Size2D(1U, 1U), + Size2D(1U, 1U), + Size2D(1U, 1U), + Size2D(20U, 1U), + Size2D(0U, 1U), + Size2D(1U, 1U), + Size2D(1U, 1U), + }), + make("Expected", { false, false, false, false, false, false, false, false, true, true })), input_info, weights_info, biases_info, output_info, conv_info, depth_multiplier, dilation, expected) { bool is_valid = bool(CLDepthwiseConvolutionLayer::validate(&input_info.clone()->set_is_resizable(true), &weights_info.clone()->set_is_resizable(true), &biases_info.clone()->set_is_resizable(true), &output_info.clone()->set_is_resizable(true), conv_info, depth_multiplier,ActivationLayerInfo(), dilation)); @@ -154,48 +188,34 @@ DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(zi template <typename T> using CLDepthwiseConvolutionLayerFixture = DepthwiseConvolutionLayerValidationFixture<CLTensor, CLAccessor, CLDepthwiseConvolutionLayer, T>; +template <typename T> +using CLDepthwiseConvolutionLayerMixedDataLayoutFixture = DepthwiseConvolutionLayerValidationFixture<CLTensor, CLAccessor, CLDepthwiseConvolutionLayer, T, true>; +template <typename T> +using CLDepthwiseConvolutionLayerInPlaceFixture = DepthwiseConvolutionLayerValidationFixture<CLTensor, CLAccessor, CLDepthwiseConvolutionLayer, T, false, true>; TEST_SUITE(Float) TEST_SUITE(FP16) TEST_SUITE(W3x3) TEST_SUITE(NCHW) FIXTURE_DATA_TEST_CASE_NEW(RunSmall, CLDepthwiseConvolutionLayerFixture<half>, framework::DatasetMode::ALL, - combine(combine(combine(combine(framework::dataset::concat(datasets::SmallDepthwiseConvolutionLayerDataset3x3(), - datasets::SmallDepthwiseConvolutionLayerDataset3x3NCHW()), - depth_multipliers), - framework::dataset::make("DataType", - DataType::F16)), - framework::dataset::make("DataLayout", DataLayout::NCHW)), - ActivationFunctionsDataset)) -{ - validate(CLAccessor(_target), _reference, tolerance_f16); -} -FIXTURE_DATA_TEST_CASE_NEW(RunLarge, CLDepthwiseConvolutionLayerFixture<half>, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::LargeDepthwiseConvolutionLayerDataset3x3(), - large_depth_multipliers), - framework::dataset::make("DataType", - DataType::F16)), - framework::dataset::make("DataLayout", DataLayout::NCHW)), - ActivationFunctionsDataset)) + combine( + framework::dataset::concat(datasets::SmallDepthwiseConvolutionLayerDataset3x3(), + datasets::SmallDepthwiseConvolutionLayerDataset3x3NCHW()), + depth_multipliers, + make("DataType", DataType::F16), + make("DataLayout", DataLayout::NCHW), + ActivationFunctionsSmallDataset)) { validate(CLAccessor(_target), _reference, tolerance_f16); } TEST_SUITE(Dilation) -FIXTURE_DATA_TEST_CASE_NEW(RunSmall, CLDepthwiseConvolutionLayerFixture<half>, framework::DatasetMode::ALL, combine(combine(combine(combine(datasets::SmallDepthwiseDilatedConvolutionLayerDataset3x3(), - depth_multipliers), - framework::dataset::make("DataType", - DataType::F16)), - framework::dataset::make("DataLayout", { DataLayout::NCHW })), - ActivationFunctionsDataset)) -{ - validate(CLAccessor(_target), _reference, tolerance_f16); -} -FIXTURE_DATA_TEST_CASE_NEW(RunLarge, CLDepthwiseConvolutionLayerFixture<half>, framework::DatasetMode::NIGHTLY, - combine(combine(combine(combine(datasets::LargeDepthwiseDilatedConvolutionLayerDataset3x3(), - large_depth_multipliers), - framework::dataset::make("DataType", - DataType::F16)), - framework::dataset::make("DataLayout", { DataLayout::NCHW })), - ActivationFunctionsDataset)) +FIXTURE_DATA_TEST_CASE_NEW(RunSmall, CLDepthwiseConvolutionLayerFixture<half>, framework::DatasetMode::ALL, + combine( + datasets::SmallDepthwiseDilatedConvolutionLayerDataset3x3(), + depth_multipliers, + make("DataType", DataType::F16), + make("DataLayout", { DataLayout::NCHW }), + ActivationFunctionsSmallDataset)) { validate(CLAccessor(_target), _reference, tolerance_f16); } @@ -204,41 +224,42 @@ TEST_SUITE_END() // NCHW TEST_SUITE(NHWC) FIXTURE_DATA_TEST_CASE_NEW(RunSmall, CLDepthwiseConvolutionLayerFixture<half>, framework::DatasetMode::ALL, - combine(combine(combine(combine(datasets::SmallDepthwiseConvolutionLayerDataset3x3(), - depth_multipliers), - framework::dataset::make("DataType", - DataType::F16)), - framework::dataset::make("DataLayout", DataLayout::NHWC)), - ActivationFunctionsDataset)) + combine( + datasets::SmallDepthwiseConvolutionLayerDataset3x3(), + depth_multipliers, + make("DataType", DataType::F16), + make("DataLayout", DataLayout::NHWC), + ActivationFunctionsSmallDataset)) { validate(CLAccessor(_target), _reference, tolerance_f16); } -FIXTURE_DATA_TEST_CASE_NEW(RunLarge, CLDepthwiseConvolutionLayerFixture<half>, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::LargeDepthwiseConvolutionLayerDataset3x3(), - large_depth_multipliers), - framework::dataset::make("DataType", - DataType::F16)), - framework::dataset::make("DataLayout", DataLayout::NHWC)), - ActivationFunctionsDataset)) +FIXTURE_DATA_TEST_CASE_NEW(RunLarge, CLDepthwiseConvolutionLayerFixture<half>, framework::DatasetMode::NIGHTLY, + combine( + datasets::LargeDepthwiseConvolutionLayerDataset3x3Fp16Subset(), + large_depth_multipliers, + make("DataType", DataType::F16), + make("DataLayout", DataLayout::NHWC), + make("ActivationInfo", ActivationLayerInfo()))) { validate(CLAccessor(_target), _reference, tolerance_f16); } TEST_SUITE(Dilation) FIXTURE_DATA_TEST_CASE_NEW(RunSmall, CLDepthwiseConvolutionLayerFixture<half>, framework::DatasetMode::ALL, combine(combine(combine(combine(datasets::SmallDepthwiseDilatedConvolutionLayerDataset3x3(), depth_multipliers), - framework::dataset::make("DataType", + make("DataType", DataType::F16)), - framework::dataset::make("DataLayout", { DataLayout::NHWC })), - ActivationFunctionsDataset)) + make("DataLayout", { DataLayout::NHWC })), + ActivationFunctionsSmallDataset)) { validate(CLAccessor(_target), _reference, tolerance_f16); } FIXTURE_DATA_TEST_CASE_NEW(RunLarge, CLDepthwiseConvolutionLayerFixture<half>, framework::DatasetMode::NIGHTLY, - combine(combine(combine(combine(datasets::LargeDepthwiseDilatedConvolutionLayerDataset3x3(), + combine(combine(combine(combine(datasets::LargeDepthwiseDilatedConvolutionLayerDataset3x3Fp16Subset(), large_depth_multipliers), - framework::dataset::make("DataType", + make("DataType", DataType::F16)), - framework::dataset::make("DataLayout", { DataLayout::NHWC })), - ActivationFunctionsDataset)) + make("DataLayout", { DataLayout::NHWC })), + make("ActivationInfo", ActivationLayerInfo()))) { validate(CLAccessor(_target), _reference, tolerance_f16); } @@ -249,19 +270,33 @@ TEST_SUITE_END() // W3x3 TEST_SUITE(Generic) FIXTURE_DATA_TEST_CASE_NEW(RunSmall, CLDepthwiseConvolutionLayerFixture<half>, framework::DatasetMode::ALL, combine(combine(combine(combine(datasets::SmallDepthwiseConvolutionLayerDataset(), depth_multipliers), - framework::dataset::make("DataType", + make("DataType", DataType::F16)), - framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })), - ActivationFunctionsDataset)) + make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })), + ActivationFunctionsSmallDataset)) { validate(CLAccessor(_target), _reference, tolerance_f16, tolerance_num); } -FIXTURE_DATA_TEST_CASE_NEW(RunLarge, CLDepthwiseConvolutionLayerFixture<half>, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::LargeDepthwiseConvolutionLayerDataset(), +FIXTURE_DATA_TEST_CASE_NEW(RunLarge, CLDepthwiseConvolutionLayerFixture<half>, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::LargeDepthwiseConvolutionLayerDatasetFp16Subset(), 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(CLAccessor(_target), _reference, tolerance_f16, tolerance_num); +} + +FIXTURE_DATA_TEST_CASE_NEW(RunActivations, CLDepthwiseConvolutionLayerFixture<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", { 2 }), + make("DataType", DataType::F16), + make("DataLayout", { DataLayout::NHWC }), + ActivationFunctionsDataset)) { validate(CLAccessor(_target), _reference, tolerance_f16, tolerance_num); } @@ -269,25 +304,38 @@ FIXTURE_DATA_TEST_CASE_NEW(RunLarge, CLDepthwiseConvolutionLayerFixture<half>, f TEST_SUITE(Dilation) FIXTURE_DATA_TEST_CASE_NEW(RunSmall, CLDepthwiseConvolutionLayerFixture<half>, framework::DatasetMode::ALL, combine(combine(combine(combine(datasets::SmallDepthwiseDilatedConvolutionLayerDataset(), depth_multipliers), - framework::dataset::make("DataType", + make("DataType", DataType::F16)), - framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })), - ActivationFunctionsDataset)) + make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })), + ActivationFunctionsSmallDataset)) { validate(CLAccessor(_target), _reference, tolerance_f16, tolerance_num); } FIXTURE_DATA_TEST_CASE_NEW(RunLarge, CLDepthwiseConvolutionLayerFixture<half>, framework::DatasetMode::NIGHTLY, - combine(combine(combine(combine(datasets::LargeDepthwiseDilatedConvolutionLayerDataset(), + combine(combine(combine(combine(datasets::LargeDepthwiseDilatedConvolutionLayerDatasetFp16Subset(), 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(CLAccessor(_target), _reference, tolerance_f16, tolerance_num); } TEST_SUITE_END() // Dilation TEST_SUITE_END() // Generic + +TEST_SUITE(InPlace) +FIXTURE_DATA_TEST_CASE_NEW(RunSmall, CLDepthwiseConvolutionLayerInPlaceFixture<half>, framework::DatasetMode::ALL, + combine(combine(combine(combine(datasets::SmallInPlaceDepthwiseConvolutionLayerDataset(), + make("DepthMultiplier", { 1 })), + make("DataType", + DataType::F16)), + make("DataLayout", { DataLayout::NHWC })), + ActivationFunctionsSmallDataset)) +{ + validate(CLAccessor(_src), _reference, tolerance_f16, tolerance_num); +} +TEST_SUITE_END() // InPlace TEST_SUITE_END() // FP16 TEST_SUITE(FP32) @@ -297,84 +345,76 @@ FIXTURE_DATA_TEST_CASE_NEW(RunSmall, CLDepthwiseConvolutionLayerFixture<float>, combine(combine(combine(combine(framework::dataset::concat(datasets::SmallDepthwiseConvolutionLayerDataset3x3(), datasets::SmallDepthwiseConvolutionLayerDataset3x3NCHW()), depth_multipliers), - framework::dataset::make("DataType", + make("DataType", DataType::F32)), - framework::dataset::make("DataLayout", DataLayout::NCHW)), - ActivationFunctionsDataset)) -{ - validate(CLAccessor(_target), _reference, tolerance_f32); -} -FIXTURE_DATA_TEST_CASE_NEW(RunLarge, CLDepthwiseConvolutionLayerFixture<float>, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::LargeDepthwiseConvolutionLayerDataset3x3(), - large_depth_multipliers), - framework::dataset::make("DataType", - DataType::F32)), - framework::dataset::make("DataLayout", DataLayout::NCHW)), - ActivationFunctionsDataset)) + make("DataLayout", DataLayout::NCHW)), + ActivationFunctionsSmallDataset)) { validate(CLAccessor(_target), _reference, tolerance_f32); } TEST_SUITE(Dilation) FIXTURE_DATA_TEST_CASE_NEW(RunSmall, CLDepthwiseConvolutionLayerFixture<float>, framework::DatasetMode::ALL, combine(combine(combine(combine(datasets::SmallDepthwiseDilatedConvolutionLayerDataset3x3(), depth_multipliers), - framework::dataset::make("DataType", + make("DataType", DataType::F32)), - framework::dataset::make("DataLayout", DataLayout::NCHW)), - ActivationFunctionsDataset)) + make("DataLayout", DataLayout::NCHW)), + ActivationFunctionsSmallDataset)) { validate(CLAccessor(_target), _reference, tolerance_f32); } -FIXTURE_DATA_TEST_CASE_NEW(RunLarge, CLDepthwiseConvolutionLayerFixture<float>, framework::DatasetMode::NIGHTLY, - combine(combine(combine(combine(datasets::LargeDepthwiseDilatedConvolutionLayerDataset3x3(), - large_depth_multipliers), - framework::dataset::make("DataType", - DataType::F32)), - framework::dataset::make("DataLayout", DataLayout::NCHW)), - ActivationFunctionsDataset)) -{ - validate(CLAccessor(_target), _reference, tolerance_f32); -} - TEST_SUITE_END() // Dilation TEST_SUITE_END() // NCHW + TEST_SUITE(NHWC) FIXTURE_DATA_TEST_CASE_NEW(RunSmall, CLDepthwiseConvolutionLayerFixture<float>, framework::DatasetMode::ALL, combine(combine(combine(combine(datasets::SmallDepthwiseConvolutionLayerDataset3x3(), depth_multipliers), - framework::dataset::make("DataType", + make("DataType", DataType::F32)), - framework::dataset::make("DataLayout", DataLayout::NHWC)), - ActivationFunctionsDataset)) + make("DataLayout", DataLayout::NHWC)), + ActivationFunctionsSmallDataset)) +{ + validate(CLAccessor(_target), _reference, tolerance_f32); +} +FIXTURE_DATA_TEST_CASE_NEW(RunMixedDataLayout, CLDepthwiseConvolutionLayerMixedDataLayoutFixture<float>, framework::DatasetMode::PRECOMMIT, + combine(combine(combine(combine(datasets::SmallDepthwiseConvolutionLayerDataset3x3(), + make("DepthMultiplier", { 2 })), + make("DataType", + DataType::F32)), + make("DataLayout", DataLayout::NHWC)), + make("ActivationInfo", ActivationLayerInfo()))) { validate(CLAccessor(_target), _reference, tolerance_f32); } FIXTURE_DATA_TEST_CASE_NEW(RunLarge, CLDepthwiseConvolutionLayerFixture<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::NHWC)), - ActivationFunctionsDataset)) + make("DataLayout", DataLayout::NHWC)), + make("ActivationInfo", ActivationLayerInfo()))) { validate(CLAccessor(_target), _reference, tolerance_f32); } + TEST_SUITE(Dilation) FIXTURE_DATA_TEST_CASE_NEW(RunSmall, CLDepthwiseConvolutionLayerFixture<float>, framework::DatasetMode::ALL, combine(combine(combine(combine(datasets::SmallDepthwiseDilatedConvolutionLayerDataset3x3(), depth_multipliers), - framework::dataset::make("DataType", + make("DataType", DataType::F32)), - framework::dataset::make("DataLayout", DataLayout::NHWC)), - ActivationFunctionsDataset)) + make("DataLayout", DataLayout::NHWC)), + ActivationFunctionsSmallDataset)) { validate(CLAccessor(_target), _reference, tolerance_f32); } FIXTURE_DATA_TEST_CASE_NEW(RunLarge, CLDepthwiseConvolutionLayerFixture<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::NHWC)), - ActivationFunctionsDataset)) + make("DataLayout", DataLayout::NHWC)), + make("ActivationInfo", ActivationLayerInfo()))) { validate(CLAccessor(_target), _reference, tolerance_f32); } @@ -385,19 +425,45 @@ TEST_SUITE_END() // W3x3 TEST_SUITE(Generic) FIXTURE_DATA_TEST_CASE_NEW(RunSmall, CLDepthwiseConvolutionLayerFixture<float>, framework::DatasetMode::ALL, combine(combine(combine(combine(datasets::SmallDepthwiseConvolutionLayerDataset(), depth_multipliers), - framework::dataset::make("DataType", + make("DataType", DataType::F32)), - framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })), - ActivationFunctionsDataset)) + make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })), + ActivationFunctionsSmallDataset)) { validate(CLAccessor(_target), _reference, tolerance_f32); } + FIXTURE_DATA_TEST_CASE_NEW(RunLarge, CLDepthwiseConvolutionLayerFixture<float>, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::LargeDepthwiseConvolutionLayerDataset(), 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(CLAccessor(_target), _reference, tolerance_f32); +} + +FIXTURE_DATA_TEST_CASE_NEW(RunLargeKernelSize, CLDepthwiseConvolutionLayerFixture<float>, framework::DatasetMode::ALL, + combine(combine(combine(combine(datasets::LargeKernelSizeDepthwiseConvolutionLayerNHWCDataset(), + make("DepthMultiplier", { 1 })), + make("DataType", + DataType::F32)), + make("DataLayout", { DataLayout::NHWC })), + ActivationFunctionsSmallDataset)) +{ + validate(CLAccessor(_target), _reference, tolerance_f32); +} + +FIXTURE_DATA_TEST_CASE_NEW(RunActivations, CLDepthwiseConvolutionLayerFixture<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", { 2 }), + make("DataType", DataType::F32), + make("DataLayout", { DataLayout::NHWC }), + ActivationFunctionsDataset)) { validate(CLAccessor(_target), _reference, tolerance_f32); } @@ -405,78 +471,130 @@ FIXTURE_DATA_TEST_CASE_NEW(RunLarge, CLDepthwiseConvolutionLayerFixture<float>, TEST_SUITE(Dilation) FIXTURE_DATA_TEST_CASE_NEW(RunSmall, CLDepthwiseConvolutionLayerFixture<float>, framework::DatasetMode::ALL, combine(combine(combine(combine(datasets::SmallDepthwiseDilatedConvolutionLayerDataset(), depth_multipliers), - framework::dataset::make("DataType", + make("DataType", DataType::F32)), - framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })), - ActivationFunctionsDataset)) + make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })), + ActivationFunctionsSmallDataset)) { validate(CLAccessor(_target), _reference, tolerance_f32); } FIXTURE_DATA_TEST_CASE_NEW(RunLarge, CLDepthwiseConvolutionLayerFixture<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(CLAccessor(_target), _reference, tolerance_f32); } TEST_SUITE_END() // Dilation TEST_SUITE_END() // Generic + +TEST_SUITE(InPlace) +FIXTURE_DATA_TEST_CASE_NEW(RunSmall, CLDepthwiseConvolutionLayerInPlaceFixture<float>, framework::DatasetMode::ALL, + combine(combine(combine(combine(datasets::SmallInPlaceDepthwiseConvolutionLayerDataset(), + make("DepthMultiplier", { 1 })), + make("DataType", + DataType::F32)), + make("DataLayout", { DataLayout::NHWC })), + ActivationFunctionsSmallDataset)) +{ + validate(CLAccessor(_src), _reference, tolerance_f32); +} +TEST_SUITE_END() // InPlace TEST_SUITE_END() // FP32 TEST_SUITE_END() // Float template <typename T> using CLDepthwiseConvolutionLayerQuantizedFixture = DepthwiseConvolutionLayerValidationQuantizedFixture<CLTensor, CLAccessor, CLDepthwiseConvolutionLayer, T>; template <typename T> +using CLDepthwiseConvolutionLayerQuantizedMixedDataLayoutFixture = DepthwiseConvolutionLayerValidationQuantizedFixture<CLTensor, CLAccessor, CLDepthwiseConvolutionLayer, T, true>; +template <typename T> using CLDepthwiseConvolutionLayerQuantizedPerChannelFixture = DepthwiseConvolutionLayerValidationQuantizedPerChannelFixture<CLTensor, CLAccessor, CLDepthwiseConvolutionLayer, T, int8_t>; TEST_SUITE(Quantized) TEST_SUITE(QASYMM8) TEST_SUITE(Generic) FIXTURE_DATA_TEST_CASE_NEW(RunSmall, CLDepthwiseConvolutionLayerQuantizedFixture<uint8_t>, framework::DatasetMode::PRECOMMIT, - combine(combine(combine(combine(combine(combine(datasets::SmallDepthwiseConvolutionLayerDataset(), - depth_multipliers), - framework::dataset::make("DataType", DataType::QASYMM8)), - framework::dataset::make("SrcQuantizationInfo", { QuantizationInfo(0.3f, 10), QuantizationInfo(2.2f, 10) })), - framework::dataset::make("DstQuantizationInfo", { QuantizationInfo(0.5f, 4) })), - framework::dataset::make("DataLayout", { DataLayout::NHWC })), // NCHW is tested with int8 - ActivationFunctionsDataset)) + combine(datasets::SmallDepthwiseConvolutionLayerDataset(), + depth_multipliers, + make("DataType", DataType::QASYMM8), + IgnoredQuantizationInfo, + IgnoredQuantizationInfo, + make("DataLayout", { DataLayout::NHWC }), // NCHW is tested with int8 + NoActivation)) +{ + validate(CLAccessor(_target), _reference, tolerance_qasymm8); +} +FIXTURE_DATA_TEST_CASE_NEW(RunSmallWithActivation, CLDepthwiseConvolutionLayerQuantizedFixture<uint8_t>, framework::DatasetMode::PRECOMMIT, + combine(datasets::SmallDepthwiseConvolutionLayerDataset(), + depth_multipliers, + make("DataType", DataType::QASYMM8), + make("SrcQuantizationInfo", { QuantizationInfo(0.5f, 128), QuantizationInfo(2.2f, 10) }), + make("DstQuantizationInfo", { QuantizationInfo(1.f, 128) }), + make("DataLayout", { DataLayout::NHWC }), // NCHW is tested with int8 + ActivationFunctionsQuantizedSmallDataset)) { validate(CLAccessor(_target), _reference, tolerance_qasymm8); } FIXTURE_DATA_TEST_CASE_NEW(RunLarge, CLDepthwiseConvolutionLayerQuantizedFixture<uint8_t>, framework::DatasetMode::NIGHTLY, - combine(combine(combine(combine(combine(combine(datasets::LargeDepthwiseConvolutionLayerDataset(), - large_depth_multipliers), - framework::dataset::make("DataType", DataType::QASYMM8)), - framework::dataset::make("SrcQuantizationInfo", { QuantizationInfo(0.5f, 10), QuantizationInfo(2.2f, 10) })), - framework::dataset::make("DstQuantizationInfo", { QuantizationInfo(0.7f, 2) })), - framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })), - ActivationFunctionsDataset)) + combine(datasets::LargeDepthwiseConvolutionLayerDataset(), + large_depth_multipliers, + make("DataType", DataType::QASYMM8), + IgnoredQuantizationInfo, + IgnoredQuantizationInfo, + make("DataLayout", { DataLayout::NHWC }), + NoActivation)) +{ + validate(CLAccessor(_target), _reference, tolerance_qasymm8); +} +FIXTURE_DATA_TEST_CASE_NEW(RunActivations, CLDepthwiseConvolutionLayerQuantizedFixture<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", { 2U }), + make("DataType", DataType::QASYMM8), + make("SrcQuantizationInfo", { QuantizationInfo(2.2f, 10) }), + make("DstQuantizationInfo", { QuantizationInfo(0.1f, 128) }), + make("DataLayout", { DataLayout::NHWC }), + ActivationFunctionsQuantizedDataset)) { validate(CLAccessor(_target), _reference, tolerance_qasymm8); } TEST_SUITE(Dilation) FIXTURE_DATA_TEST_CASE_NEW(RunSmall, CLDepthwiseConvolutionLayerQuantizedFixture<uint8_t>, framework::DatasetMode::PRECOMMIT, - combine(combine(combine(combine(combine(combine(datasets::SmallDepthwiseDilatedConvolutionLayerDataset(), - depth_multipliers), - framework::dataset::make("DataType", DataType::QASYMM8)), - framework::dataset::make("SrcQuantizationInfo", { QuantizationInfo(0.5f, 10), QuantizationInfo(2.2f, 10) })), - framework::dataset::make("DstQuantizationInfo", { QuantizationInfo(0.8, 1) })), - framework::dataset::make("DataLayout", { DataLayout::NHWC })), // NCHW is tested with int8 - ActivationFunctionsDataset)) + combine(datasets::SmallDepthwiseDilatedConvolutionLayerDataset(), + depth_multipliers, + make("DataType", DataType::QASYMM8), + IgnoredQuantizationInfo, + IgnoredQuantizationInfo, + make("DataLayout", { DataLayout::NHWC }), // NCHW is tested with int8 + NoActivation)) +{ + validate(CLAccessor(_target), _reference, tolerance_qasymm8); +} +FIXTURE_DATA_TEST_CASE_NEW(RunSmallWithActivation, CLDepthwiseConvolutionLayerQuantizedFixture<uint8_t>, framework::DatasetMode::PRECOMMIT, + combine(datasets::SmallDepthwiseDilatedConvolutionLayerDataset(), + depth_multipliers, + make("DataType", DataType::QASYMM8), + make("SrcQuantizationInfo", { QuantizationInfo(0.5f, 10), QuantizationInfo(2.2f, 10) }), + make("DstQuantizationInfo", { QuantizationInfo(0.8, 1) }), + make("DataLayout", { DataLayout::NHWC }), // NCHW is tested with int8 + ActivationFunctionsQuantizedSmallDataset)) { validate(CLAccessor(_target), _reference, tolerance_qasymm8); } FIXTURE_DATA_TEST_CASE_NEW(RunLarge, CLDepthwiseConvolutionLayerQuantizedFixture<uint8_t>, framework::DatasetMode::NIGHTLY, - combine(combine(combine(combine(combine(combine(datasets::LargeDepthwiseDilatedConvolutionLayerDataset(), - large_depth_multipliers), - framework::dataset::make("DataType", DataType::QASYMM8)), - framework::dataset::make("SrcQuantizationInfo", { QuantizationInfo(0.5f, 10), QuantizationInfo(1.3f, 10) })), - framework::dataset::make("DstQuantizationInfo", { QuantizationInfo(0.9f, 11) })), - framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })), - ActivationFunctionsDataset)) + combine(datasets::LargeDepthwiseDilatedConvolutionLayerDataset(), + large_depth_multipliers, + make("DataType", DataType::QASYMM8), + IgnoredQuantizationInfo, + IgnoredQuantizationInfo, + make("DataLayout", { DataLayout::NHWC }), + NoActivation)) { validate(CLAccessor(_target), _reference, tolerance_qasymm8); } @@ -484,47 +602,80 @@ TEST_SUITE_END() // Dilation TEST_SUITE_END() // Generic TEST_SUITE(W3x3) FIXTURE_DATA_TEST_CASE_NEW(RunSmall, CLDepthwiseConvolutionLayerQuantizedFixture<uint8_t>, framework::DatasetMode::PRECOMMIT, - combine(combine(combine(combine(combine(combine(datasets::SmallDepthwiseConvolutionLayerDataset3x3(), - depth_multipliers), - framework::dataset::make("DataType", DataType::QASYMM8)), - framework::dataset::make("SrcQuantizationInfo", { QuantizationInfo(0.3f, 10), QuantizationInfo(2.2f, 10) })), - framework::dataset::make("DstQuantizationInfo", { QuantizationInfo(0.5f, 10) })), - framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })), - ActivationFunctionsDataset)) + combine(datasets::SmallDepthwiseConvolutionLayerDataset3x3(), + depth_multipliers, + make("DataType", DataType::QASYMM8), + IgnoredQuantizationInfo, + IgnoredQuantizationInfo, + make("DataLayout", { DataLayout::NHWC }), + NoActivation)) +{ + validate(CLAccessor(_target), _reference, tolerance_qasymm8); +} +FIXTURE_DATA_TEST_CASE_NEW(RunSmallWithActivation, CLDepthwiseConvolutionLayerQuantizedFixture<uint8_t>, framework::DatasetMode::PRECOMMIT, + combine(datasets::SmallDepthwiseConvolutionLayerDataset3x3(), + depth_multipliers, + make("DataType", DataType::QASYMM8), + make("SrcQuantizationInfo", { QuantizationInfo(0.3f, 10), QuantizationInfo(2.2f, 10) }), + make("DstQuantizationInfo", { QuantizationInfo(0.5f, 10) }), + make("DataLayout", { DataLayout::NHWC }), + ActivationFunctionsQuantizedSmallDataset)) { validate(CLAccessor(_target), _reference, tolerance_qasymm8); } FIXTURE_DATA_TEST_CASE_NEW(RunLarge, CLDepthwiseConvolutionLayerQuantizedFixture<uint8_t>, framework::DatasetMode::NIGHTLY, - combine(combine(combine(combine(combine(combine(datasets::LargeDepthwiseConvolutionLayerDataset3x3(), - large_depth_multipliers), - framework::dataset::make("DataType", DataType::QASYMM8)), - framework::dataset::make("SrcQuantizationInfo", { QuantizationInfo(0.5f, 10), QuantizationInfo(2.2f, 10) })), - framework::dataset::make("DstQuantizationInfo", { QuantizationInfo(0.5f, 10) })), - framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })), - ActivationFunctionsDataset)) + combine(datasets::LargeDepthwiseConvolutionLayerDataset3x3(), + large_depth_multipliers, + make("DataType", DataType::QASYMM8), + IgnoredQuantizationInfo, + IgnoredQuantizationInfo, + make("DataLayout", { DataLayout::NHWC }), + NoActivation)) { validate(CLAccessor(_target), _reference, tolerance_qasymm8); } TEST_SUITE(Dilation) FIXTURE_DATA_TEST_CASE_NEW(RunSmall, CLDepthwiseConvolutionLayerQuantizedFixture<uint8_t>, framework::DatasetMode::PRECOMMIT, - combine(combine(combine(combine(combine(combine(datasets::SmallDepthwiseDilatedConvolutionLayerDataset3x3(), - depth_multipliers), - framework::dataset::make("DataType", DataType::QASYMM8)), - framework::dataset::make("SrcQuantizationInfo", { QuantizationInfo(0.5f, 10), QuantizationInfo(2.2f, 10) })), - framework::dataset::make("DstQuantizationInfo", { QuantizationInfo(0.5f, 10) })), - framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })), - ActivationFunctionsDataset)) + combine(datasets::SmallDepthwiseDilatedConvolutionLayerDataset3x3(), + depth_multipliers, + make("DataType", DataType::QASYMM8), + IgnoredQuantizationInfo, + IgnoredQuantizationInfo, + make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC }), + NoActivation)) +{ + validate(CLAccessor(_target), _reference, tolerance_qasymm8); +} +FIXTURE_DATA_TEST_CASE_NEW(RunSmallWithActivation, CLDepthwiseConvolutionLayerQuantizedFixture<uint8_t>, framework::DatasetMode::PRECOMMIT, + combine(datasets::SmallDepthwiseDilatedConvolutionLayerDataset3x3(), + depth_multipliers, + make("DataType", DataType::QASYMM8), + make("SrcQuantizationInfo", { QuantizationInfo(0.5f, 10), QuantizationInfo(2.2f, 10) }), + make("DstQuantizationInfo", { QuantizationInfo(0.5f, 10) }), + make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC }), + ActivationFunctionsQuantizedSmallDataset)) +{ + validate(CLAccessor(_target), _reference, tolerance_qasymm8); +} +FIXTURE_DATA_TEST_CASE_NEW(RunMixedDataLayout, CLDepthwiseConvolutionLayerQuantizedMixedDataLayoutFixture<uint8_t>, framework::DatasetMode::PRECOMMIT, + combine(datasets::SmallDepthwiseDilatedConvolutionLayerDataset3x3(), + make("DepthMultiplier", { 2 }), + make("DataType", DataType::QASYMM8), + IgnoredQuantizationInfo, + IgnoredQuantizationInfo, + make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC }), + NoActivation)) { validate(CLAccessor(_target), _reference, tolerance_qasymm8); } FIXTURE_DATA_TEST_CASE_NEW(RunLarge, CLDepthwiseConvolutionLayerQuantizedFixture<uint8_t>, framework::DatasetMode::NIGHTLY, - combine(combine(combine(combine(combine(combine(datasets::LargeDepthwiseDilatedConvolutionLayerDataset3x3(), - large_depth_multipliers), - framework::dataset::make("DataType", DataType::QASYMM8)), - framework::dataset::make("SrcQuantizationInfo", { QuantizationInfo(0.5f, 10), QuantizationInfo(2.2f, 10) })), - framework::dataset::make("DstQuantizationInfo", { QuantizationInfo(0.5f, 10) })), - framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })), - ActivationFunctionsDataset)) + combine(datasets::LargeDepthwiseDilatedConvolutionLayerDataset3x3(), + large_depth_multipliers, + make("DataType", DataType::QASYMM8), + IgnoredQuantizationInfo, + IgnoredQuantizationInfo, + make("DataLayout", { DataLayout::NHWC }), + NoActivation)) { validate(CLAccessor(_target), _reference, tolerance_qasymm8); } @@ -535,25 +686,73 @@ TEST_SUITE_END() // QASYMM8 TEST_SUITE(QASYMM8_SIGNED) TEST_SUITE(Generic) FIXTURE_DATA_TEST_CASE_NEW(RunSmall, CLDepthwiseConvolutionLayerQuantizedFixture<int8_t>, framework::DatasetMode::PRECOMMIT, - combine(combine(combine(combine(combine(combine(datasets::SmallDepthwiseConvolutionLayerDataset(), - depth_multipliers), - framework::dataset::make("DataType", DataType::QASYMM8_SIGNED)), - framework::dataset::make("SrcQuantizationInfo", { QuantizationInfo(0.3f, 10), QuantizationInfo(2.2f, 10) })), - framework::dataset::make("DstQuantizationInfo", { QuantizationInfo(0.5f, 4) })), - framework::dataset::make("DataLayout", { DataLayout::NCHW })), - ActivationFunctionsDataset)) + combine(datasets::SmallDepthwiseConvolutionLayerDataset(), + depth_multipliers, + make("DataType", DataType::QASYMM8_SIGNED), + IgnoredQuantizationInfo, + IgnoredQuantizationInfo, + make("DataLayout", { DataLayout::NCHW }), + NoActivation)) +{ + validate(CLAccessor(_target), _reference, tolerance_qasymm8); +} +FIXTURE_DATA_TEST_CASE_NEW(RunSmallWithActivation, CLDepthwiseConvolutionLayerQuantizedFixture<int8_t>, framework::DatasetMode::PRECOMMIT, + combine(datasets::SmallDepthwiseConvolutionLayerDataset(), + depth_multipliers, + make("DataType", DataType::QASYMM8_SIGNED), + make("SrcQuantizationInfo", { QuantizationInfo(0.3f, 10), QuantizationInfo(2.2f, 10) }), + make("DstQuantizationInfo", { QuantizationInfo(0.5f, 4) }), + make("DataLayout", { DataLayout::NCHW }), + ActivationFunctionsQuantizedSmallDataset)) +{ + validate(CLAccessor(_target), _reference, tolerance_qasymm8); +} +FIXTURE_DATA_TEST_CASE_NEW(RunMixedDataLayout, CLDepthwiseConvolutionLayerQuantizedMixedDataLayoutFixture<int8_t>, framework::DatasetMode::PRECOMMIT, + combine(datasets::SmallDepthwiseConvolutionLayerDataset(), + make("DepthMultiplier", { 2 }), + make("DataType", DataType::QASYMM8_SIGNED), + IgnoredQuantizationInfo, + IgnoredQuantizationInfo, + make("DataLayout", { DataLayout::NCHW }), + NoActivation)) +{ + validate(CLAccessor(_target), _reference, tolerance_qasymm8); +} +FIXTURE_DATA_TEST_CASE_NEW(RunActivations, CLDepthwiseConvolutionLayerQuantizedFixture<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", { 2U }), + make("DataType", DataType::QASYMM8_SIGNED), + make("SrcQuantizationInfo", { QuantizationInfo(0.3f, 10) }), + make("DstQuantizationInfo", { QuantizationInfo(0.5f, 4) }), + make("DataLayout", { DataLayout::NHWC }), + ActivationFunctionsQuantizedDataset)) { validate(CLAccessor(_target), _reference, tolerance_qasymm8); } TEST_SUITE(Dilation) FIXTURE_DATA_TEST_CASE_NEW(RunSmall, CLDepthwiseConvolutionLayerQuantizedFixture<int8_t>, framework::DatasetMode::PRECOMMIT, - combine(combine(combine(combine(combine(combine(datasets::SmallDepthwiseDilatedConvolutionLayerDataset(), - depth_multipliers), - framework::dataset::make("DataType", DataType::QASYMM8_SIGNED)), - framework::dataset::make("SrcQuantizationInfo", { QuantizationInfo(0.5f, 10), QuantizationInfo(2.2f, 10) })), - framework::dataset::make("DstQuantizationInfo", { QuantizationInfo(0.8, 1) })), - framework::dataset::make("DataLayout", { DataLayout::NCHW })), - ActivationFunctionsDataset)) + combine(datasets::SmallDepthwiseDilatedConvolutionLayerDataset(), + depth_multipliers, + make("DataType", DataType::QASYMM8_SIGNED), + IgnoredQuantizationInfo, + IgnoredQuantizationInfo, + make("DataLayout", { DataLayout::NCHW }), + NoActivation)) +{ + validate(CLAccessor(_target), _reference, tolerance_qasymm8); +} +FIXTURE_DATA_TEST_CASE_NEW(RunSmallWithActivation, CLDepthwiseConvolutionLayerQuantizedFixture<int8_t>, framework::DatasetMode::PRECOMMIT, + combine(datasets::SmallDepthwiseDilatedConvolutionLayerDataset(), + depth_multipliers, + make("DataType", DataType::QASYMM8_SIGNED), + make("SrcQuantizationInfo", { QuantizationInfo(0.5f, 10), QuantizationInfo(2.2f, 10) }), + make("DstQuantizationInfo", { QuantizationInfo(0.8, 1) }), + make("DataLayout", { DataLayout::NCHW }), + ActivationFunctionsQuantizedSmallDataset)) { validate(CLAccessor(_target), _reference, tolerance_qasymm8); } @@ -566,24 +765,40 @@ TEST_SUITE(Generic) FIXTURE_DATA_TEST_CASE_NEW(RunSmall, CLDepthwiseConvolutionLayerQuantizedPerChannelFixture<uint8_t>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(combine(combine(combine(datasets::SmallDepthwiseConvolutionLayerDataset(), depth_multipliers), - framework::dataset::make("SrcDataType", DataType::QASYMM8)), - framework::dataset::make("WeightsDataType", DataType::QSYMM8_PER_CHANNEL)), - framework::dataset::make("SrcQuantizationInfo", { QuantizationInfo(0.3f, 10) })), - framework::dataset::make("DstQuantizationInfo", { QuantizationInfo(0.5f, 4) })), - framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })), - ActivationFunctionsDataset)) + make("SrcDataType", DataType::QASYMM8)), + make("WeightsDataType", DataType::QSYMM8_PER_CHANNEL)), + make("SrcQuantizationInfo", { QuantizationInfo(0.3f, 10) })), + make("DstQuantizationInfo", { QuantizationInfo(0.5f, 4) })), + make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })), + ActivationFunctionsSmallDataset)) { validate(CLAccessor(_target), _reference, tolerance_qasymm8); } FIXTURE_DATA_TEST_CASE_NEW(RunLarge, CLDepthwiseConvolutionLayerQuantizedPerChannelFixture<uint8_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(combine(combine(datasets::LargeDepthwiseConvolutionLayerDataset(), large_depth_multipliers), - framework::dataset::make("SrcDataType", DataType::QASYMM8)), - framework::dataset::make("WeightsDataType", DataType::QSYMM8_PER_CHANNEL)), - framework::dataset::make("SrcQuantizationInfo", { QuantizationInfo(0.5f, 10) })), - framework::dataset::make("DstQuantizationInfo", { QuantizationInfo(0.7f, 2) })), - framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })), - ActivationFunctionsDataset)) + make("SrcDataType", DataType::QASYMM8)), + make("WeightsDataType", DataType::QSYMM8_PER_CHANNEL)), + make("SrcQuantizationInfo", { QuantizationInfo(0.5f, 10) })), + make("DstQuantizationInfo", { QuantizationInfo(0.7f, 2) })), + make("DataLayout", { DataLayout::NHWC })), + make("ActivationInfo", ActivationLayerInfo()))) +{ + validate(CLAccessor(_target), _reference, tolerance_qasymm8); +} +FIXTURE_DATA_TEST_CASE_NEW(RunActivations, CLDepthwiseConvolutionLayerQuantizedPerChannelFixture<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", { 2U }), + make("SrcDataType", DataType::QASYMM8_SIGNED), + make("WeightsDataType", DataType::QSYMM8_PER_CHANNEL), + make("SrcQuantizationInfo", { QuantizationInfo(0.3f, 10) }), + make("DstQuantizationInfo", { QuantizationInfo(0.5f, 4) }), + make("DataLayout", { DataLayout::NHWC }), + ActivationFunctionsQuantizedDataset)) { validate(CLAccessor(_target), _reference, tolerance_qasymm8); } @@ -591,24 +806,24 @@ TEST_SUITE(Dilation) FIXTURE_DATA_TEST_CASE_NEW(RunSmall, CLDepthwiseConvolutionLayerQuantizedPerChannelFixture<uint8_t>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(combine(combine(combine(datasets::SmallDepthwiseDilatedConvolutionLayerDataset(), depth_multipliers), - framework::dataset::make("SrcDataType", DataType::QASYMM8)), - framework::dataset::make("WeightsDataType", DataType::QSYMM8_PER_CHANNEL)), - framework::dataset::make("SrcQuantizationInfo", { QuantizationInfo(0.5f, 10) })), - framework::dataset::make("DstQuantizationInfo", { QuantizationInfo(0.8, 1) })), - framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })), - ActivationFunctionsDataset)) + make("SrcDataType", DataType::QASYMM8)), + make("WeightsDataType", DataType::QSYMM8_PER_CHANNEL)), + make("SrcQuantizationInfo", { QuantizationInfo(0.5f, 10) })), + make("DstQuantizationInfo", { QuantizationInfo(0.8, 1) })), + make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })), + ActivationFunctionsSmallDataset)) { validate(CLAccessor(_target), _reference, tolerance_qasymm8); } FIXTURE_DATA_TEST_CASE_NEW(RunLarge, CLDepthwiseConvolutionLayerQuantizedPerChannelFixture<uint8_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(combine(combine(datasets::LargeDepthwiseDilatedConvolutionLayerDataset(), large_depth_multipliers), - framework::dataset::make("SrcDataType", DataType::QASYMM8)), - framework::dataset::make("WeightsDataType", DataType::QSYMM8_PER_CHANNEL)), - framework::dataset::make("SrcQuantizationInfo", { QuantizationInfo(0.5f, 10) })), - framework::dataset::make("DstQuantizationInfo", { QuantizationInfo(0.9f, 11) })), - framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })), - ActivationFunctionsDataset)) + make("SrcDataType", DataType::QASYMM8)), + make("WeightsDataType", DataType::QSYMM8_PER_CHANNEL)), + make("SrcQuantizationInfo", { QuantizationInfo(0.5f, 10) })), + make("DstQuantizationInfo", { QuantizationInfo(0.9f, 11) })), + make("DataLayout", { DataLayout::NHWC })), + make("ActivationInfo", ActivationLayerInfo()))) { validate(CLAccessor(_target), _reference, tolerance_qasymm8); } @@ -618,24 +833,24 @@ TEST_SUITE(W3x3) FIXTURE_DATA_TEST_CASE_NEW(RunSmall, CLDepthwiseConvolutionLayerQuantizedPerChannelFixture<uint8_t>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(combine(combine(combine(datasets::SmallDepthwiseConvolutionLayerDataset3x3(), depth_multipliers), - framework::dataset::make("SrcDataType", DataType::QASYMM8)), - framework::dataset::make("WeightsDataType", DataType::QSYMM8_PER_CHANNEL)), - framework::dataset::make("SrcQuantizationInfo", { QuantizationInfo(0.3f, 10) })), - framework::dataset::make("DstQuantizationInfo", { QuantizationInfo(0.5f, 4) })), - framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })), - ActivationFunctionsDataset)) + make("SrcDataType", DataType::QASYMM8)), + make("WeightsDataType", DataType::QSYMM8_PER_CHANNEL)), + make("SrcQuantizationInfo", { QuantizationInfo(0.3f, 10) })), + make("DstQuantizationInfo", { QuantizationInfo(0.5f, 4) })), + make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })), + ActivationFunctionsSmallDataset)) { validate(CLAccessor(_target), _reference, tolerance_qasymm8); } FIXTURE_DATA_TEST_CASE_NEW(RunLarge, CLDepthwiseConvolutionLayerQuantizedPerChannelFixture<uint8_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(combine(combine(datasets::LargeDepthwiseConvolutionLayerDataset3x3(), large_depth_multipliers), - framework::dataset::make("SrcDataType", DataType::QASYMM8)), - framework::dataset::make("WeightsDataType", DataType::QSYMM8_PER_CHANNEL)), - framework::dataset::make("SrcQuantizationInfo", { QuantizationInfo(0.5f, 10) })), - framework::dataset::make("DstQuantizationInfo", { QuantizationInfo(0.5f, 10) })), - framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })), - ActivationFunctionsDataset)) + make("SrcDataType", DataType::QASYMM8)), + make("WeightsDataType", DataType::QSYMM8_PER_CHANNEL)), + make("SrcQuantizationInfo", { QuantizationInfo(0.5f, 10) })), + make("DstQuantizationInfo", { QuantizationInfo(0.5f, 10) })), + make("DataLayout", { DataLayout::NHWC })), + make("ActivationInfo", ActivationLayerInfo()))) { validate(CLAccessor(_target), _reference, tolerance_qasymm8); } @@ -643,24 +858,24 @@ TEST_SUITE(Dilation) FIXTURE_DATA_TEST_CASE_NEW(RunSmall, CLDepthwiseConvolutionLayerQuantizedPerChannelFixture<uint8_t>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(combine(combine(combine(datasets::SmallDepthwiseDilatedConvolutionLayerDataset3x3(), depth_multipliers), - framework::dataset::make("SrcDataType", DataType::QASYMM8)), - framework::dataset::make("WeightsDataType", DataType::QSYMM8_PER_CHANNEL)), - framework::dataset::make("SrcQuantizationInfo", { QuantizationInfo(0.5f, 10) })), - framework::dataset::make("DstQuantizationInfo", { QuantizationInfo(0.5f, 10) })), - framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })), - ActivationFunctionsDataset)) + make("SrcDataType", DataType::QASYMM8)), + make("WeightsDataType", DataType::QSYMM8_PER_CHANNEL)), + make("SrcQuantizationInfo", { QuantizationInfo(0.5f, 10) })), + make("DstQuantizationInfo", { QuantizationInfo(0.5f, 10) })), + make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })), + ActivationFunctionsSmallDataset)) { validate(CLAccessor(_target), _reference, tolerance_qasymm8); } FIXTURE_DATA_TEST_CASE_NEW(RunLarge, CLDepthwiseConvolutionLayerQuantizedPerChannelFixture<uint8_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(combine(combine(datasets::LargeDepthwiseDilatedConvolutionLayerDataset3x3(), large_depth_multipliers), - framework::dataset::make("SrcDataType", DataType::QASYMM8)), - framework::dataset::make("WeightsDataType", DataType::QSYMM8_PER_CHANNEL)), - framework::dataset::make("SrcQuantizationInfo", { QuantizationInfo(0.5f, 10) })), - framework::dataset::make("DstQuantizationInfo", { QuantizationInfo(0.5f, 10) })), - framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })), - ActivationFunctionsDataset)) + make("SrcDataType", DataType::QASYMM8)), + make("WeightsDataType", DataType::QSYMM8_PER_CHANNEL)), + make("SrcQuantizationInfo", { QuantizationInfo(0.5f, 10) })), + make("DstQuantizationInfo", { QuantizationInfo(0.5f, 10) })), + make("DataLayout", { DataLayout::NHWC })), + make("ActivationInfo", ActivationLayerInfo()))) { validate(CLAccessor(_target), _reference, tolerance_qasymm8); } |