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Diffstat (limited to 'tests/validation/NEON/Pooling3dLayer.cpp')
| -rw-r--r-- | tests/validation/NEON/Pooling3dLayer.cpp | 361 |
1 files changed, 361 insertions, 0 deletions
diff --git a/tests/validation/NEON/Pooling3dLayer.cpp b/tests/validation/NEON/Pooling3dLayer.cpp new file mode 100644 index 0000000000..07054462f5 --- /dev/null +++ b/tests/validation/NEON/Pooling3dLayer.cpp @@ -0,0 +1,361 @@ +/* + * 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<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 */ +#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC +constexpr AbsoluteTolerance<float> 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<uint8_t> tolerance_qasymm8(1); /**< Tolerance value for comparing reference's output against implementation's output for unsigned 8-bit asymmetric type */ +constexpr AbsoluteTolerance<int8_t> 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 <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(Quantized) + +template <typename T> +using NEPooling3dLayerQuantizedFixture = Pooling3dLayerValidationQuantizedFixture<Tensor, Accessor, NEPooling3dLayer, T>; + +TEST_SUITE(QASYMM8) +FIXTURE_DATA_TEST_CASE(RunSmall, NEPooling3dLayerQuantizedFixture<uint8_t>, 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<uint8_t>, 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<int8_t>, 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 |