| /* |
| * 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 })); |
| |
| using ShapeDataset = framework::dataset::ContainerDataset<std::vector<TensorShape>>; |
| |
| constexpr AbsoluteTolerance<float> tolerance_f32(0.001f); /**< Tolerance value for comparing reference's output against implementation's output for 32-bit floating-point type */ |
| constexpr AbsoluteTolerance<float> tolerance_f16(0.01f); /**< Tolerance value for comparing reference's output against implementation's output for 16-bit floating-point type */ |
| |
| } //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 <typename T> |
| using NEPoolingLayer3dFixture = Pooling3dLayerValidationFixture<Tensor, Accessor, NEPooling3dLayer, T>; |
| |
| template <typename T> |
| using NESpecial3dPoolingLayerFixture = SpecialPooling3dLayerValidationFixture<Tensor, Accessor, NEPooling3dLayer, T>; |
| |
| template <typename T> |
| using NEPooling3dLayerGlobalFixture = Pooling3dLayerGlobalValidationFixture<Tensor, Accessor, NEPooling3dLayer, T>; |
| |
| // clang-format on |
| // *INDENT-ON* |
| TEST_SUITE(Float) |
| TEST_SUITE(FP32) |
| |
| FIXTURE_DATA_TEST_CASE(RunSpecial, NESpecial3dPoolingLayerFixture<float>, 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<float>, 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<float>, 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<float>, 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<float>, 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<float>, 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<half>, 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<half>, 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<half>, 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<half>, 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<half>, 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_END() // Pooling3dLayer |
| TEST_SUITE_END() // NEON |
| } // namespace validation |
| } // namespace test |
| } // namespace arm_compute |