| /* |
| * Copyright (c) 2017-2019 ARM Limited. |
| * |
| * SPDX-License-Identifier: MIT |
| * |
| * Permission is hereby granted, free of charge, to any person obtaining a copy |
| * of this software and associated documentation files (the "Software"), to |
| * deal in the Software without restriction, including without limitation the |
| * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or |
| * sell copies of the Software, and to permit persons to whom the Software is |
| * furnished to do so, subject to the following conditions: |
| * |
| * The above copyright notice and this permission notice shall be included in all |
| * copies or substantial portions of the Software. |
| * |
| * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR |
| * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, |
| * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE |
| * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER |
| * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, |
| * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE |
| * SOFTWARE. |
| */ |
| #include "arm_compute/core/Types.h" |
| #include "arm_compute/runtime/CL/CLTensor.h" |
| #include "arm_compute/runtime/CL/CLTensorAllocator.h" |
| #include "arm_compute/runtime/CL/functions/CLDepthwiseConvolutionLayer.h" |
| #include "tests/CL/CLAccessor.h" |
| #include "tests/PaddingCalculator.h" |
| #include "tests/datasets/DepthwiseConvolutionLayerDataset.h" |
| #include "tests/datasets/DilatedDepthwiseConvolutionLayerDataset.h" |
| #include "tests/framework/Asserts.h" |
| #include "tests/framework/Macros.h" |
| #include "tests/framework/datasets/Datasets.h" |
| #include "tests/validation/Validation.h" |
| #include "tests/validation/fixtures/DepthwiseConvolutionLayerFixture.h" |
| |
| namespace arm_compute |
| { |
| namespace test |
| { |
| namespace validation |
| { |
| 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 */ |
| 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(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 }); |
| |
| //Activation Functions |
| const auto ActivationFunctionsDataset = framework::dataset::make("ActivationInfo", |
| { |
| ActivationLayerInfo(), |
| ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU) |
| }); |
| } // namespace |
| |
| TEST_SUITE(CL) |
| TEST_SUITE(DepthwiseConvolutionLayer) |
| |
| // *INDENT-OFF* |
| // clang-format off |
| DATA_TEST_CASE(Validate3x3, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(zip(zip( |
| framework::dataset::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::QASYMM8), // Unsupported activation |
| TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32), // Mismatching depth multiplier |
| TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32), // Invalid stride |
| TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32), // Invalid biases size |
| TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32), // Invalid biases dimensions |
| TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32), // Invalid output size |
| TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), // Window shrink |
| TensorInfo(TensorShape(32U, 18U, 8U), 1, DataType::F32), // patch size bigger than input width |
| TensorInfo(TensorShape(32U, 18U, 8U), 1, DataType::F32), // dilation < 1 |
| TensorInfo(TensorShape(32U, 18U, 8U), 1, DataType::F32), |
| TensorInfo(TensorShape(50U, 32U, 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(5U, 5U, 2U), 1, DataType::F32), |
| TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::QASYMM8), |
| 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, 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(2U), 1, DataType::S32), |
| 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(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(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::QASYMM8), |
| 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), |
| TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32), |
| TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32), |
| TensorInfo(TensorShape(30U, 16U, 16U), 1, DataType::F32), |
| TensorInfo(TensorShape(30U, 16U, 16U), 1, DataType::F32), |
| TensorInfo(TensorShape(30U, 16U, 16U), 1, DataType::F32), |
| TensorInfo(TensorShape(48U, 30U, 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(4, 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), |
| })), |
| framework::dataset::make("DepthMultiplier", { 1, |
| 1, |
| 1, |
| 1, |
| 3, |
| 1, |
| 1, |
| 1, |
| 1, |
| 1, |
| 2, |
| 2, |
| 2, |
| 3, |
| })), |
| framework::dataset::make("ActivationInfo", { ActivationLayerInfo(), |
| ActivationLayerInfo(), |
| ActivationLayerInfo(), |
| ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LINEAR), |
| ActivationLayerInfo(), |
| ActivationLayerInfo(), |
| ActivationLayerInfo(), |
| ActivationLayerInfo(), |
| ActivationLayerInfo(), |
| ActivationLayerInfo(), |
| ActivationLayerInfo(), |
| ActivationLayerInfo(), |
| ActivationLayerInfo(), |
| ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), |
| })), |
| framework::dataset::make("Dilation", { Size2D(1U, 1U), |
| Size2D(1U, 1U), |
| Size2D(1U, 1U), |
| Size2D(1U, 1U), |
| 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, false, false, false, false, true, true })), |
| input_info, weights_info, biases_info, output_info, conv_info, depth_multiplier, act_info, dilation, expected) |
| { |
| bool is_valid = bool(CLDepthwiseConvolutionLayer3x3::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, act_info,GPUTarget::MIDGARD, dilation)); |
| ARM_COMPUTE_EXPECT(is_valid == expected, framework::LogLevel::ERRORS); |
| } |
| |
| 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 |
| 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 })), |
| 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)); |
| ARM_COMPUTE_EXPECT(is_valid == expected, framework::LogLevel::ERRORS); |
| } |
| // clang-format on |
| // *INDENT-ON* |
| |
| template <typename T> |
| using CLDepthwiseConvolutionLayerFixture = DepthwiseConvolutionLayerValidationFixture<CLTensor, CLAccessor, CLDepthwiseConvolutionLayer, T>; |
| |
| TEST_SUITE(Float) |
| TEST_SUITE(FP16) |
| TEST_SUITE(W3x3) |
| TEST_SUITE(NCHW) |
| FIXTURE_DATA_TEST_CASE(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(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)) |
| { |
| validate(CLAccessor(_target), _reference, tolerance_f16); |
| } |
| TEST_SUITE(Dilation) |
| FIXTURE_DATA_TEST_CASE(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(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)) |
| { |
| validate(CLAccessor(_target), _reference, tolerance_f16); |
| } |
| TEST_SUITE_END() // Dilation |
| TEST_SUITE_END() // NCHW |
| |
| TEST_SUITE(NHWC) |
| FIXTURE_DATA_TEST_CASE(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)) |
| { |
| validate(CLAccessor(_target), _reference, tolerance_f16); |
| } |
| FIXTURE_DATA_TEST_CASE(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)) |
| { |
| validate(CLAccessor(_target), _reference, tolerance_f16); |
| } |
| TEST_SUITE(Dilation) |
| FIXTURE_DATA_TEST_CASE(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::NHWC })), |
| ActivationFunctionsDataset)) |
| { |
| validate(CLAccessor(_target), _reference, tolerance_f16); |
| } |
| FIXTURE_DATA_TEST_CASE(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::NHWC })), |
| ActivationFunctionsDataset)) |
| { |
| validate(CLAccessor(_target), _reference, tolerance_f16); |
| } |
| TEST_SUITE_END() // Dilation |
| TEST_SUITE_END() // NHWC |
| TEST_SUITE_END() // W3x3 |
| |
| TEST_SUITE(Generic) |
| FIXTURE_DATA_TEST_CASE(RunSmall, CLDepthwiseConvolutionLayerFixture<half>, framework::DatasetMode::ALL, combine(combine(combine(combine(datasets::SmallDepthwiseConvolutionLayerDataset(), |
| depth_multipliers), |
| framework::dataset::make("DataType", |
| DataType::F16)), |
| framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })), |
| ActivationFunctionsDataset)) |
| { |
| validate(CLAccessor(_target), _reference, tolerance_f16, tolerance_num); |
| } |
| FIXTURE_DATA_TEST_CASE(RunLarge, CLDepthwiseConvolutionLayerFixture<half>, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::LargeDepthwiseConvolutionLayerDataset(), |
| large_depth_multipliers), |
| framework::dataset::make("DataType", |
| DataType::F16)), |
| framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })), |
| ActivationFunctionsDataset)) |
| { |
| validate(CLAccessor(_target), _reference, tolerance_f16, tolerance_num); |
| } |
| |
| TEST_SUITE(Dilation) |
| FIXTURE_DATA_TEST_CASE(RunSmall, CLDepthwiseConvolutionLayerFixture<half>, framework::DatasetMode::ALL, combine(combine(combine(combine(datasets::SmallDepthwiseDilatedConvolutionLayerDataset(), |
| depth_multipliers), |
| framework::dataset::make("DataType", |
| DataType::F16)), |
| framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })), |
| ActivationFunctionsDataset)) |
| { |
| validate(CLAccessor(_target), _reference, tolerance_f16, tolerance_num); |
| } |
| FIXTURE_DATA_TEST_CASE(RunLarge, CLDepthwiseConvolutionLayerFixture<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)) |
| { |
| validate(CLAccessor(_target), _reference, tolerance_f16, tolerance_num); |
| } |
| TEST_SUITE_END() // Dilation |
| TEST_SUITE_END() // Generic |
| TEST_SUITE_END() // FP16 |
| |
| TEST_SUITE(FP32) |
| TEST_SUITE(W3x3) |
| TEST_SUITE(NCHW) |
| FIXTURE_DATA_TEST_CASE(RunSmall, CLDepthwiseConvolutionLayerFixture<float>, framework::DatasetMode::ALL, |
| combine(combine(combine(combine(framework::dataset::concat(datasets::SmallDepthwiseConvolutionLayerDataset3x3(), |
| datasets::SmallDepthwiseConvolutionLayerDataset3x3NCHW()), |
| depth_multipliers), |
| framework::dataset::make("DataType", |
| DataType::F32)), |
| framework::dataset::make("DataLayout", DataLayout::NCHW)), |
| ActivationFunctionsDataset)) |
| { |
| validate(CLAccessor(_target), _reference, tolerance_f32); |
| } |
| FIXTURE_DATA_TEST_CASE(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)) |
| { |
| validate(CLAccessor(_target), _reference, tolerance_f32); |
| } |
| TEST_SUITE(Dilation) |
| FIXTURE_DATA_TEST_CASE(RunSmall, CLDepthwiseConvolutionLayerFixture<float>, framework::DatasetMode::ALL, |
| combine(combine(combine(combine(datasets::SmallDepthwiseDilatedConvolutionLayerDataset3x3(), depth_multipliers), |
| framework::dataset::make("DataType", |
| DataType::F32)), |
| framework::dataset::make("DataLayout", DataLayout::NCHW)), |
| ActivationFunctionsDataset)) |
| { |
| validate(CLAccessor(_target), _reference, tolerance_f32); |
| } |
| FIXTURE_DATA_TEST_CASE(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(RunSmall, CLDepthwiseConvolutionLayerFixture<float>, framework::DatasetMode::ALL, |
| combine(combine(combine(combine(datasets::SmallDepthwiseConvolutionLayerDataset3x3(), |
| depth_multipliers), |
| framework::dataset::make("DataType", |
| DataType::F32)), |
| framework::dataset::make("DataLayout", DataLayout::NHWC)), |
| ActivationFunctionsDataset)) |
| { |
| validate(CLAccessor(_target), _reference, tolerance_f32); |
| } |
| FIXTURE_DATA_TEST_CASE(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::NHWC)), |
| ActivationFunctionsDataset)) |
| { |
| validate(CLAccessor(_target), _reference, tolerance_f32); |
| } |
| TEST_SUITE(Dilation) |
| |
| FIXTURE_DATA_TEST_CASE(RunSmall, CLDepthwiseConvolutionLayerFixture<float>, framework::DatasetMode::ALL, |
| combine(combine(combine(combine(datasets::SmallDepthwiseDilatedConvolutionLayerDataset3x3(), |
| depth_multipliers), |
| framework::dataset::make("DataType", |
| DataType::F32)), |
| framework::dataset::make("DataLayout", DataLayout::NHWC)), |
| ActivationFunctionsDataset)) |
| { |
| validate(CLAccessor(_target), _reference, tolerance_f32); |
| } |
| FIXTURE_DATA_TEST_CASE(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::NHWC)), |
| ActivationFunctionsDataset)) |
| { |
| validate(CLAccessor(_target), _reference, tolerance_f32); |
| } |
| TEST_SUITE_END() // Dilation |
| TEST_SUITE_END() // NHWC |
| TEST_SUITE_END() // W3x3 |
| |
| TEST_SUITE(Generic) |
| FIXTURE_DATA_TEST_CASE(RunSmall, CLDepthwiseConvolutionLayerFixture<float>, framework::DatasetMode::ALL, combine(combine(combine(combine(datasets::SmallDepthwiseConvolutionLayerDataset(), |
| depth_multipliers), |
| framework::dataset::make("DataType", |
| DataType::F32)), |
| framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })), |
| ActivationFunctionsDataset)) |
| { |
| validate(CLAccessor(_target), _reference, tolerance_f32); |
| } |
| FIXTURE_DATA_TEST_CASE(RunLarge, CLDepthwiseConvolutionLayerFixture<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)) |
| { |
| validate(CLAccessor(_target), _reference, tolerance_f32); |
| } |
| |
| TEST_SUITE(Dilation) |
| FIXTURE_DATA_TEST_CASE(RunSmall, CLDepthwiseConvolutionLayerFixture<float>, framework::DatasetMode::ALL, combine(combine(combine(combine(datasets::SmallDepthwiseDilatedConvolutionLayerDataset(), |
| depth_multipliers), |
| framework::dataset::make("DataType", |
| DataType::F32)), |
| framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })), |
| ActivationFunctionsDataset)) |
| { |
| validate(CLAccessor(_target), _reference, tolerance_f32); |
| } |
| FIXTURE_DATA_TEST_CASE(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, DataLayout::NHWC })), |
| ActivationFunctionsDataset)) |
| { |
| validate(CLAccessor(_target), _reference, tolerance_f32); |
| } |
| TEST_SUITE_END() // Dilation |
| TEST_SUITE_END() // Generic |
| TEST_SUITE_END() // FP32 |
| TEST_SUITE_END() // Float |
| |
| template <typename T> |
| using CLDepthwiseConvolutionLayerQuantizedFixture = DepthwiseConvolutionLayerValidationQuantizedFixture<CLTensor, CLAccessor, CLDepthwiseConvolutionLayer, T>; |
| |
| TEST_SUITE(Quantized) |
| TEST_SUITE(QASYMM8) |
| TEST_SUITE(Generic) |
| FIXTURE_DATA_TEST_CASE(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(0.5f, 10) })), |
| framework::dataset::make("DstQuantizationInfo", { QuantizationInfo(0.3f, 4) })), |
| framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })), |
| ActivationFunctionsDataset)) |
| { |
| validate(CLAccessor(_target), _reference, tolerance_qasymm8); |
| } |
| FIXTURE_DATA_TEST_CASE(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) })), |
| framework::dataset::make("DstQuantizationInfo", { QuantizationInfo(0.1f, 2) })), |
| framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })), |
| ActivationFunctionsDataset)) |
| { |
| validate(CLAccessor(_target), _reference, tolerance_qasymm8); |
| } |
| TEST_SUITE(Dilation) |
| FIXTURE_DATA_TEST_CASE(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) })), |
| framework::dataset::make("DstQuantizationInfo", { QuantizationInfo(0.8, 1) })), |
| framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })), |
| ActivationFunctionsDataset)) |
| { |
| validate(CLAccessor(_target), _reference, tolerance_qasymm8); |
| } |
| FIXTURE_DATA_TEST_CASE(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) })), |
| framework::dataset::make("DstQuantizationInfo", { QuantizationInfo(0.9f, 11) })), |
| framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })), |
| ActivationFunctionsDataset)) |
| { |
| validate(CLAccessor(_target), _reference, tolerance_qasymm8); |
| } |
| TEST_SUITE_END() // Dilation |
| TEST_SUITE_END() // Generic |
| TEST_SUITE(W3x3) |
| FIXTURE_DATA_TEST_CASE(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(0.5f, 10) })), |
| framework::dataset::make("DstQuantizationInfo", { QuantizationInfo(0.3f, 10) })), |
| framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })), |
| ActivationFunctionsDataset)) |
| { |
| validate(CLAccessor(_target), _reference, tolerance_qasymm8); |
| } |
| FIXTURE_DATA_TEST_CASE(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) })), |
| framework::dataset::make("DstQuantizationInfo", { QuantizationInfo(0.5f, 10) })), |
| framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })), |
| ActivationFunctionsDataset)) |
| { |
| validate(CLAccessor(_target), _reference, tolerance_qasymm8); |
| } |
| TEST_SUITE(Dilation) |
| FIXTURE_DATA_TEST_CASE(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) })), |
| framework::dataset::make("DstQuantizationInfo", { QuantizationInfo(0.5f, 10) })), |
| framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })), |
| ActivationFunctionsDataset)) |
| { |
| validate(CLAccessor(_target), _reference, tolerance_qasymm8); |
| } |
| FIXTURE_DATA_TEST_CASE(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) })), |
| framework::dataset::make("DstQuantizationInfo", { QuantizationInfo(0.5f, 10) })), |
| framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })), |
| ActivationFunctionsDataset)) |
| { |
| validate(CLAccessor(_target), _reference, tolerance_qasymm8); |
| } |
| TEST_SUITE_END() // Dilation |
| TEST_SUITE_END() // W3x3 |
| TEST_SUITE_END() // QASYMM8 |
| TEST_SUITE_END() // Quantized |
| |
| TEST_SUITE_END() // DepthwiseConvolutionLayer |
| TEST_SUITE_END() // CL |
| } // namespace validation |
| } // namespace test |
| } // namespace arm_compute |