/* * Copyright (c) 2022 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/NEON/functions/NEPooling3dLayer.h" #include "arm_compute/runtime/Tensor.h" #include "arm_compute/runtime/TensorAllocator.h" #include "tests/NEON/Accessor.h" #include "tests/PaddingCalculator.h" #include "tests/datasets/Pooling3dLayerDataset.h" #include "tests/datasets/PoolingTypesDataset.h" #include "tests/datasets/ShapeDatasets.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/Pooling3dLayerFixture.h" namespace arm_compute { namespace test { namespace validation { namespace { /** Input data sets for floating-point data types */ const auto Pooling3dLayerDatasetFP = combine(combine(combine(combine(datasets::PoolingTypes(), framework::dataset::make("PoolingSize", { Size3D(2, 3, 2) })), framework::dataset::make("Stride", { Size3D(1, 1, 1), Size3D(2, 1, 1), Size3D(1, 2, 1), Size3D(2, 2, 1) })), framework::dataset::make("Padding", { Padding3D(0, 1, 0), Padding3D(1, 1, 1) })), framework::dataset::make("ExcludePadding", { true, false })); const auto Pooling3dLayerDatasetFPSmall = combine(combine(combine(combine(datasets::PoolingTypes(), framework::dataset::make("PoolingSize", { Size3D(2, 2, 2), Size3D(3, 3, 3) })), framework::dataset::make("Stride", { Size3D(2, 2, 2), Size3D(2, 1, 1) })), framework::dataset::make("Padding", { Padding3D(0, 0, 0), Padding3D(1, 1, 1), Padding3D(1, 0, 0) })), framework::dataset::make("ExcludePadding", { true, false })); const auto Pooling3dLayerDatasetQASYMM8Small = combine(combine(combine(combine(framework::dataset::make("PoolingType", { PoolingType::MAX, PoolingType::AVG }), framework::dataset::make("PoolingSize", { Size3D(3, 3, 3) })), framework::dataset::make("Stride", { Size3D(1, 1, 1), Size3D(2, 1, 1), Size3D(1, 2, 1), Size3D(2, 2, 1) })), framework::dataset::make("Padding", { Padding3D(0, 0, 0), Padding3D(1, 1, 1), Padding3D(1, 0, 0) })), framework::dataset::make("ExcludePadding", { true })); const auto Pooling3dLayerDatasetQASYMM8Large = combine(combine(combine(combine(framework::dataset::make("PoolingType", { PoolingType::MAX, PoolingType::AVG }), framework::dataset::make("PoolingSize", { Size3D(3, 3, 3) })), framework::dataset::make("Stride", { Size3D(1, 1, 1), Size3D(2, 2, 1) })), framework::dataset::make("Padding", { Padding3D(0, 0, 0), Padding3D(1, 1, 0) })), framework::dataset::make("ExcludePadding", { true })); using ShapeDataset = framework::dataset::ContainerDataset>; constexpr AbsoluteTolerance tolerance_f32(0.001f); /**< Tolerance value for comparing reference's output against implementation's output for 32-bit floating-point type */ #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC constexpr AbsoluteTolerance tolerance_f16(0.01f); /**< Tolerance value for comparing reference's output against implementation's output for 16-bit floating-point type */ #endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */ constexpr AbsoluteTolerance tolerance_qasymm8(1); /**< Tolerance value for comparing reference's output against implementation's output for unsigned 8-bit asymmetric type */ constexpr AbsoluteTolerance tolerance_qasymm8_s(1); /**< Tolerance value for comparing reference's output against implementation's output for signed 8-bit asymmetric type */ const auto qasymm8_in_qinfo_dataset = framework::dataset::make("InputQuantInfo", { QuantizationInfo(.2f, 10) }); const auto qasymm8_out_qinfo_dataset = framework::dataset::make("OutputQuantInfo", { QuantizationInfo(.2f, 10), // Same qinfo QuantizationInfo(.1f, 5), // Multiplier <= 1 QuantizationInfo(2.f, 3) // Multiplier > 1 }); const auto qasymm8_signed_in_qinfo_dataset = framework::dataset::make("InputQuantInfo", { QuantizationInfo(.2f, -10) }); const auto qasymm8_signed_out_qinfo_dataset = framework::dataset::make("OutputQuantInfo", { QuantizationInfo(.2f, -10), // Same qinfo QuantizationInfo(.1f, -5), // Multiplier <= 1 QuantizationInfo(2.f, -3) // Multiplier > 1 }); } //namespace TEST_SUITE(NEON) TEST_SUITE(Pooling3dLayer) // *INDENT-OFF* // clang-format off DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip( framework::dataset::make("InputInfo", { TensorInfo(TensorShape(2U, 27U, 13U, 4U, 3U), 1, DataType::F32, DataLayout::NDHWC), // Mismatching data type TensorInfo(TensorShape(2U, 27U, 13U, 4U, 2U), 1, DataType::F32, DataLayout::NDHWC), // Invalid pad/size combination TensorInfo(TensorShape(2U, 27U, 13U, 4U, 2U), 1, DataType::F32, DataLayout::NDHWC), // Invalid pad/size combination TensorInfo(TensorShape(2U, 27U, 13U, 4U, 3U), 1, DataType::F32, DataLayout::NDHWC), // Invalid output shape TensorInfo(TensorShape(5U, 13U, 15U, 2U, 3U), 1, DataType::F32, DataLayout::NDHWC), // Global Pooling TensorInfo(TensorShape(13U,13U, 5U, 1U, 2U), 1, DataType::F32, DataLayout::NDHWC), // Invalid output Global Pooling TensorInfo(TensorShape(5U, 13U, 13U, 4U, 4U), 1, DataType::F32, DataLayout::NDHWC), TensorInfo(TensorShape(5U, 13U, 13U, 4U, 4U), 1, DataType::F32, DataLayout::NDHWC), // Invalid data type TensorInfo(TensorShape(5U, 13U, 13U, 4U, 4U), 1, DataType::F32, DataLayout::NHWC), // Invalid data layout TensorInfo(TensorShape(5U, 13U, 13U, 5U, 4U), 1, DataType::F32, DataLayout::NDHWC), TensorInfo(TensorShape(1U, 16U, 1U, 3U, 4U), 1, DataType::F32, DataLayout::NDHWC), TensorInfo(TensorShape(5U, 13U, 13U, 4U, 3U), 1, DataType::F32, DataLayout::NDHWC), TensorInfo(TensorShape(5U, 13U, 13U, 4U, 2U), 1, DataType::F32, DataLayout::NDHWC), TensorInfo(TensorShape(5U, 13U, 13U, 4U, 3U), 1, DataType::F32, DataLayout::NDHWC), }), framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(2U, 25U, 11U, 3U, 3U), 1, DataType::F16, DataLayout::NDHWC), TensorInfo(TensorShape(2U, 30U, 11U, 3U, 2U), 1, DataType::F32, DataLayout::NDHWC), TensorInfo(TensorShape(2U, 25U, 16U, 3U, 2U), 1, DataType::F32, DataLayout::NDHWC), TensorInfo(TensorShape(2U, 27U, 13U, 3U, 3U), 1, DataType::F32, DataLayout::NDHWC), TensorInfo(TensorShape(5U, 1U, 1U, 1U, 3U), 1, DataType::F32, DataLayout::NDHWC), // Global pooling applied TensorInfo(TensorShape(5U, 2U, 2U, 2U, 2U), 1, DataType::F32, DataLayout::NDHWC), // Invalid output Global Pooling TensorInfo(TensorShape(5U, 12U, 12U, 3U, 4U), 1, DataType::F32, DataLayout::NDHWC), TensorInfo(TensorShape(5U, 12U, 12U, 3U, 4U), 1, DataType::QASYMM8, DataLayout::NDHWC), // Invalid data type TensorInfo(TensorShape(5U, 12U, 12U, 3U, 4U), 1, DataType::F32, DataLayout::NDHWC), // Invalid data layout TensorInfo(TensorShape(5U, 1U, 1U, 1U, 4U), 1, DataType::F32, DataLayout::NDHWC), TensorInfo(TensorShape(1U, 15U, 1U, 2U, 4U), 1, DataType::F32, DataLayout::NDHWC), // size larger than height TensorInfo(TensorShape(5U, 6U, 6U, 2U, 3U), 1, DataType::F32, DataLayout::NDHWC), TensorInfo(TensorShape(5U, 6U, 6U, 2U, 2U), 1, DataType::F32, DataLayout::NDHWC), TensorInfo(TensorShape(5U, 6U, 6U, 2U, 3U), 1, DataType::F32, DataLayout::NDHWC), })), framework::dataset::make("PoolInfo", { Pooling3dLayerInfo(PoolingType::AVG, 3, Size3D(1, 1, 1), Padding3D(0, 0, 0)), Pooling3dLayerInfo(PoolingType::AVG, 2, Size3D(1, 1, 1), Padding3D(2, 0, 0)), Pooling3dLayerInfo(PoolingType::AVG, 2, Size3D(1, 1, 1), Padding3D(0, 0, 0)), Pooling3dLayerInfo(PoolingType::L2, 3, Size3D(1, 1, 1), Padding3D(0, 0, 0)), Pooling3dLayerInfo(PoolingType::AVG), Pooling3dLayerInfo(PoolingType::MAX), Pooling3dLayerInfo(PoolingType::AVG, 2, Size3D(), Padding3D(), false), Pooling3dLayerInfo(PoolingType::AVG, 2, Size3D(1U, 1U, 1U), Padding3D(), false), Pooling3dLayerInfo(PoolingType::AVG, 2, Size3D(1U, 1U, 1U), Padding3D(), false), Pooling3dLayerInfo(PoolingType::AVG), Pooling3dLayerInfo(PoolingType::MAX, 2, Size3D(1, 1, 2), Padding3D(0, 0, 0), false), Pooling3dLayerInfo(PoolingType::AVG, 2, Size3D(2U, 2U, 2U), Padding3D(), false), Pooling3dLayerInfo(PoolingType::AVG, 1, Size3D(2U, 2U, 2U), Padding3D(2, 2, 2), true), // pool size is equal to the padding size Pooling3dLayerInfo(PoolingType::AVG, 1, Size3D(2U, 2U, 2U), Padding3D(2, 2, 2), false), // pool size is equal to the padding size Pooling3dLayerInfo(PoolingType::AVG, 3, Size3D(2U, 2U, 2U), Padding3D(2,1,2,2,1,2), false, false, DimensionRoundingType::CEIL), // CEIL with asymmetric Padding })), framework::dataset::make("Expected", { false, false, false, false, true, false, false, false, false, true , false, true, false, false, false})), input_info, output_info, pool_info, expected) { bool is_valid = bool(NEPooling3dLayer::validate(&input_info.clone()->set_is_resizable(false), &output_info.clone()->set_is_resizable(false), pool_info)); ARM_COMPUTE_EXPECT(is_valid == expected, framework::LogLevel::ERRORS); } // clang-format on // *INDENT-ON* template using NEPoolingLayer3dFixture = Pooling3dLayerValidationFixture; template using NESpecial3dPoolingLayerFixture = SpecialPooling3dLayerValidationFixture; template using NEPooling3dLayerGlobalFixture = Pooling3dLayerGlobalValidationFixture; // clang-format on // *INDENT-ON* TEST_SUITE(Float) TEST_SUITE(FP32) FIXTURE_DATA_TEST_CASE(RunSpecial, NESpecial3dPoolingLayerFixture, framework::DatasetMode::ALL, datasets::Pooling3dLayerDatasetSpecial() * framework::dataset::make("DataType", DataType::F32)) { // Validate output validate(Accessor(_target), _reference, tolerance_f32); } FIXTURE_DATA_TEST_CASE(RunSmall, NEPoolingLayer3dFixture, framework::DatasetMode::PRECOMMIT, combine(datasets::Small5dShapes(), combine(Pooling3dLayerDatasetFPSmall, framework::dataset::make("DataType", DataType::F32)))) { // Validate output validate(Accessor(_target), _reference, tolerance_f32); } FIXTURE_DATA_TEST_CASE(RunLarge, NEPoolingLayer3dFixture, framework::DatasetMode::NIGHTLY, combine(datasets::Large5dShapes(), combine(Pooling3dLayerDatasetFPSmall, framework::dataset::make("DataType", DataType::F32)))) { // Validate output validate(Accessor(_target), _reference, tolerance_f32); } TEST_SUITE(GlobalPooling) // *INDENT-OFF* // clang-format off FIXTURE_DATA_TEST_CASE(RunSmall, NEPoolingLayer3dFixture, framework::DatasetMode::ALL, combine(combine(combine(combine(combine(combine( framework::dataset::make("InputShape", { TensorShape(3U, 27U, 13U, 4U), TensorShape(4U, 27U, 13U, 4U, 2U) }), framework::dataset::make("PoolingType", { PoolingType::AVG, PoolingType::L2, PoolingType::MAX })), framework::dataset::make("PoolingSize", { Size3D(27, 13, 4) })), framework::dataset::make("Strides", Size3D(1, 1, 1))), framework::dataset::make("Paddings", Padding3D(0, 0, 0))), framework::dataset::make("ExcludePadding", {false, true})), framework::dataset::make("DataType", DataType::F32))) { // Validate output validate(Accessor(_target), _reference, tolerance_f32); } FIXTURE_DATA_TEST_CASE(RunGlobalSmall, NEPooling3dLayerGlobalFixture, framework::DatasetMode::ALL, combine(combine( framework::dataset::make("InputShape", { TensorShape(27U, 13U, 4U, 3U), TensorShape(27U, 13U, 4U, 4U, 2U) }), framework::dataset::make("PoolingType", { PoolingType::AVG, PoolingType::L2, PoolingType::MAX })), framework::dataset::make("DataType", DataType::F32))) { // Validate output validate(Accessor(_target), _reference, tolerance_f32); } FIXTURE_DATA_TEST_CASE(RunLarge, NEPoolingLayer3dFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(combine( framework::dataset::make("InputShape", { TensorShape(4U, 79U, 37U, 11U), TensorShape(4U, 79U, 37U, 11U, 2U) }), framework::dataset::make("PoolingType", { PoolingType::AVG, PoolingType::L2, PoolingType::MAX })), framework::dataset::make("PoolingSize", { Size3D(79, 37, 11) })), framework::dataset::make("Strides", Size3D(1, 1, 1))), framework::dataset::make("Paddings", Padding3D(0, 0, 0))), framework::dataset::make("ExcludePadding", {false, true})), framework::dataset::make("DataType", DataType::F32))) { // Validate output validate(Accessor(_target), _reference, tolerance_f32); } TEST_SUITE_END() // GlobalPooling TEST_SUITE_END() // FP32 #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC TEST_SUITE(FP16) FIXTURE_DATA_TEST_CASE(RunSmall, NEPoolingLayer3dFixture, framework::DatasetMode::PRECOMMIT, combine(datasets::Small5x5Shapes(), combine(Pooling3dLayerDatasetFPSmall, framework::dataset::make("DataType", DataType::F16)))) { // Validate output validate(Accessor(_target), _reference, tolerance_f16); } FIXTURE_DATA_TEST_CASE(RunLarge, NEPoolingLayer3dFixture, framework::DatasetMode::NIGHTLY, combine(datasets::Large5dShapes(), combine(Pooling3dLayerDatasetFP, framework::dataset::make("DataType", DataType::F16)))) { // Validate output validate(Accessor(_target), _reference, tolerance_f16); } TEST_SUITE(GlobalPooling) // *INDENT-OFF* // clang-format off FIXTURE_DATA_TEST_CASE(RunSmall, NEPoolingLayer3dFixture, framework::DatasetMode::ALL, combine(combine(combine(combine(combine(combine( framework::dataset::make("InputShape", { TensorShape(3U, 27U, 13U, 4U), TensorShape(4U, 27U, 13U, 4U, 2U) }), framework::dataset::make("PoolingType", { PoolingType::AVG, PoolingType::L2, PoolingType::MAX })), framework::dataset::make("PoolingSize", { Size3D(27, 13, 4) })), framework::dataset::make("Strides", Size3D(1, 1, 1))), framework::dataset::make("Paddings", Padding3D(0, 0, 0))), framework::dataset::make("ExcludePadding", {false, true})), framework::dataset::make("DataType", DataType::F16))) { // Validate output validate(Accessor(_target), _reference, tolerance_f16); } FIXTURE_DATA_TEST_CASE(RunSmallGlobal, NEPooling3dLayerGlobalFixture, framework::DatasetMode::ALL, combine(combine( framework::dataset::make("InputShape", { TensorShape(27U, 13U, 4U, 3U), TensorShape(27U, 13U, 4U, 4U, 2U) }), framework::dataset::make("PoolingType", { PoolingType::AVG, PoolingType::L2, PoolingType::MAX })), framework::dataset::make("DataType", DataType::F16))) { // Validate output validate(Accessor(_target), _reference, tolerance_f16); } FIXTURE_DATA_TEST_CASE(RunLarge, NEPoolingLayer3dFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(combine( framework::dataset::make("InputShape", { TensorShape(4U, 79U, 37U, 11U), TensorShape(4U, 79U, 37U, 11U, 2U) }), framework::dataset::make("PoolingType", { PoolingType::AVG, PoolingType::L2, PoolingType::MAX })), framework::dataset::make("PoolingSize", { Size3D(79, 37, 11) })), framework::dataset::make("Strides", Size3D(1, 1, 1))), framework::dataset::make("Paddings", Padding3D(0, 0, 0))), framework::dataset::make("ExcludePadding", false)), framework::dataset::make("DataType", DataType::F16))) { // Validate output validate(Accessor(_target), _reference, tolerance_f16); } // clang-format on // *INDENT-ON* TEST_SUITE_END() // GlobalPooling TEST_SUITE_END() // FP16 #endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */ TEST_SUITE_END() // Float TEST_SUITE(Quantized) template using NEPooling3dLayerQuantizedFixture = Pooling3dLayerValidationQuantizedFixture; TEST_SUITE(QASYMM8) FIXTURE_DATA_TEST_CASE(RunSmall, NEPooling3dLayerQuantizedFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Small5dShapes(), combine(Pooling3dLayerDatasetQASYMM8Small, framework::dataset::make("DataType", DataType::QASYMM8))), qasymm8_in_qinfo_dataset), qasymm8_out_qinfo_dataset)) { // Validate output validate(Accessor(_target), _reference, tolerance_qasymm8); } FIXTURE_DATA_TEST_CASE(RunLarge, NEPooling3dLayerQuantizedFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::Large5dShapes(), combine(Pooling3dLayerDatasetQASYMM8Large, framework::dataset::make("DataType", DataType::QASYMM8))), qasymm8_in_qinfo_dataset), qasymm8_out_qinfo_dataset)) { // Validate output validate(Accessor(_target), _reference, tolerance_qasymm8); } TEST_SUITE_END() // QASYMM8 TEST_SUITE(QASYMM8_SIGNED) FIXTURE_DATA_TEST_CASE(RunSmall, NEPooling3dLayerQuantizedFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Small5dShapes(), combine(Pooling3dLayerDatasetQASYMM8Small, framework::dataset::make("DataType", DataType::QASYMM8_SIGNED))), qasymm8_signed_in_qinfo_dataset), qasymm8_signed_out_qinfo_dataset)) { // Validate output validate(Accessor(_target), _reference, tolerance_qasymm8_s); } TEST_SUITE_END() // QASYMM8_SIGNED TEST_SUITE_END() // Quantized TEST_SUITE_END() // Pooling3dLayer TEST_SUITE_END() // NEON } // namespace validation } // namespace test } // namespace arm_compute