| /* |
| * Copyright (c) 2017-2021 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/CLPoolingLayer.h" |
| #include "tests/CL/CLAccessor.h" |
| #include "tests/PaddingCalculator.h" |
| #include "tests/datasets/PoolingLayerDataset.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/PoolingLayerFixture.h" |
| |
| namespace arm_compute |
| { |
| namespace test |
| { |
| namespace validation |
| { |
| namespace |
| { |
| /** Input data sets for floating-point data types */ |
| const auto PoolingLayerDatasetFP = combine(combine(combine(datasets::PoolingTypes(), framework::dataset::make("PoolingSize", { Size2D(2, 2), Size2D(3, 3), Size2D(5, 7) })), |
| framework::dataset::make("PadStride", { PadStrideInfo(1, 1, 0, 0), PadStrideInfo(2, 1, 0, 0), PadStrideInfo(1, 2, 1, 1), PadStrideInfo(2, 2, 1, 0) })), |
| framework::dataset::make("ExcludePadding", { true, false })); |
| |
| const auto PoolingLayerDatasetFPSmall = combine(combine(combine(datasets::PoolingTypes(), framework::dataset::make("PoolingSize", { Size2D(2, 2), Size2D(3, 3) })), |
| framework::dataset::make("PadStride", { PadStrideInfo(1, 1, 0, 0), PadStrideInfo(2, 1, 0, 0) })), |
| framework::dataset::make("ExcludePadding", { true, false })); |
| |
| /** Input data sets for asymmetric data type */ |
| const auto PoolingLayerDatasetQASYMM8 = combine(concat(combine(combine(framework::dataset::make("PoolingType", |
| { |
| PoolingType::MAX, PoolingType::AVG, |
| }), |
| framework::dataset::make("PoolingSize", { Size2D(2, 2), Size2D(3, 3) })), |
| framework::dataset::make("PadStride", { PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 2, 1, 1), PadStrideInfo(2, 2, 1, 0) })), |
| combine(combine(framework::dataset::make("PoolingType", { PoolingType::AVG }), framework::dataset::make("PoolingSize", { Size2D(5, 7) })), framework::dataset::make("PadStride", { PadStrideInfo(2, 1, 0, 0) }))), |
| framework::dataset::make("ExcludePadding", { true })); |
| |
| const auto PoolingLayerDatasetQASYMM8Small = combine(combine(combine(framework::dataset::make("PoolingType", |
| { |
| PoolingType::MAX, PoolingType::AVG, |
| }), |
| framework::dataset::make("PoolingSize", { Size2D(2, 2), Size2D(5, 7) })), |
| framework::dataset::make("PadStride", { PadStrideInfo(1, 2, 1, 1) })), |
| framework::dataset::make("ExcludePadding", { true })); |
| |
| const auto PoolingLayerDatasetFPIndicesSmall = combine(combine(combine(framework::dataset::make("PoolingType", |
| { PoolingType::MAX }), |
| framework::dataset::make("PoolingSize", { Size2D(2, 2) })), |
| framework::dataset::make("PadStride", { PadStrideInfo(1, 1, 0, 0), PadStrideInfo(2, 2, 0, 0) })), |
| framework::dataset::make("ExcludePadding", { true, false })); |
| |
| 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 */ |
| constexpr AbsoluteTolerance<uint8_t> tolerance_qasymm8(1); /**< Tolerance value for comparing reference's output against implementation's output for 8-bit asymmetric type */ |
| constexpr AbsoluteTolerance<int8_t> tolerance_qasymm8_s(1); /**< Tolerance value for comparing reference's output against implementation's output for 8-bit signed asymmetric type */ |
| const auto pool_data_layout_dataset = framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC }); |
| |
| const auto pool_fp_mixed_precision_dataset = framework::dataset::make("FpMixedPrecision", { true, false }); |
| |
| } // namespace |
| |
| TEST_SUITE(CL) |
| TEST_SUITE(PoolingLayer) |
| |
| // *INDENT-OFF* |
| // clang-format off |
| DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip( |
| framework::dataset::make("InputInfo", { TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), // Mismatching data type |
| TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), // Invalid pad/size combination |
| TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), // Invalid pad/size combination |
| TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::QASYMM8), // Invalid parameters |
| TensorInfo(TensorShape(15U, 13U, 5U), 1, DataType::F32), // Non-rectangular Global Pooling |
| TensorInfo(TensorShape(13U, 13U, 5U), 1, DataType::F32), // Invalid output Global Pooling |
| TensorInfo(TensorShape(13U, 13U, 5U), 1, DataType::QASYMM8), |
| TensorInfo(TensorShape(13U, 13U, 5U), 1, DataType::F32), |
| TensorInfo(TensorShape(1U, 16U, 1U), 1, DataType::F32), |
| }), |
| framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F16), |
| TensorInfo(TensorShape(30U, 11U, 2U), 1, DataType::F32), |
| TensorInfo(TensorShape(25U, 16U, 2U), 1, DataType::F32), |
| TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::QASYMM8), |
| TensorInfo(TensorShape(1U, 1U, 5U), 1, DataType::F32), |
| TensorInfo(TensorShape(2U, 2U, 5U), 1, DataType::F32), |
| TensorInfo(TensorShape(12U, 12U, 5U), 1, DataType::QASYMM8), |
| TensorInfo(TensorShape(1U, 1U, 5U), 1, DataType::F32), |
| TensorInfo(TensorShape(1U, 15U, 1U), 1, DataType::F32), |
| })), |
| framework::dataset::make("PoolInfo", { PoolingLayerInfo(PoolingType::AVG, 3, DataLayout::NCHW, PadStrideInfo(1, 1, 0, 0)), |
| PoolingLayerInfo(PoolingType::AVG, 2, DataLayout::NCHW, PadStrideInfo(1, 1, 2, 0)), |
| PoolingLayerInfo(PoolingType::AVG, 2, DataLayout::NCHW, PadStrideInfo(1, 1, 0, 2)), |
| PoolingLayerInfo(PoolingType::L2, 3, DataLayout::NCHW, PadStrideInfo(1, 1, 0, 0)), |
| PoolingLayerInfo(PoolingType::AVG, DataLayout::NCHW), |
| PoolingLayerInfo(PoolingType::MAX, DataLayout::NCHW), |
| PoolingLayerInfo(PoolingType::AVG, 2, DataLayout::NHWC, PadStrideInfo(), false), |
| PoolingLayerInfo(PoolingType::AVG, DataLayout::NCHW), |
| PoolingLayerInfo(PoolingType::MAX, 2, DataLayout::NHWC, PadStrideInfo(1, 1, 0, 0), false), |
| })), |
| framework::dataset::make("Expected", { false, false, false, false, true, false, true, true , false})), |
| input_info, output_info, pool_info, expected) |
| { |
| ARM_COMPUTE_EXPECT(bool(CLPoolingLayer::validate(&input_info.clone()->set_is_resizable(false), &output_info.clone()->set_is_resizable(false), pool_info)) == expected, framework::LogLevel::ERRORS); |
| } |
| |
| // clang-format on |
| // *INDENT-ON* |
| |
| template <typename T> |
| using CLPoolingLayerFixture = PoolingLayerValidationFixture<CLTensor, CLAccessor, CLPoolingLayer, T>; |
| template <typename T> |
| using CLPoolingLayerMixedDataLayoutFixture = PoolingLayerValidationFixture<CLTensor, CLAccessor, CLPoolingLayer, T, true>; |
| |
| template <typename T> |
| using CLSpecialPoolingLayerFixture = SpecialPoolingLayerValidationFixture<CLTensor, CLAccessor, CLPoolingLayer, T>; |
| |
| template <typename T> |
| using CLMixedPrecesionPoolingLayerFixture = PoolingLayerValidationMixedPrecisionFixture<CLTensor, CLAccessor, CLPoolingLayer, T>; |
| |
| template <typename T> |
| using CLPoolingLayerIndicesFixture = PoolingLayerIndicesValidationFixture<CLTensor, CLAccessor, CLPoolingLayer, T>; |
| |
| TEST_SUITE(Float) |
| TEST_SUITE(FP32) |
| FIXTURE_DATA_TEST_CASE(RunSpecial, CLSpecialPoolingLayerFixture<float>, framework::DatasetMode::ALL, datasets::PoolingLayerDatasetSpecial() * framework::dataset::make("DataType", DataType::F32)) |
| { |
| // Validate output |
| validate(CLAccessor(_target), _reference, tolerance_f32); |
| } |
| FIXTURE_DATA_TEST_CASE(RunSmall, CLPoolingLayerFixture<float>, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallNoneUnitShapes(), combine(PoolingLayerDatasetFPSmall, |
| framework::dataset::make("DataType", |
| DataType::F32))), |
| pool_data_layout_dataset)) |
| { |
| // Validate output |
| validate(CLAccessor(_target), _reference, tolerance_f32); |
| } |
| FIXTURE_DATA_TEST_CASE(RunMixedDataLayout, CLPoolingLayerMixedDataLayoutFixture<float>, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallNoneUnitShapes(), |
| combine(combine(combine(combine(datasets::PoolingTypes(), |
| framework::dataset::make("PoolingSize", { Size2D(2, 2) })), |
| framework::dataset::make("PadStride", { PadStrideInfo(2, 1, 0, 0) })), |
| framework::dataset::make("ExcludePadding", { false })), |
| framework::dataset::make("DataType", DataType::F32))), |
| pool_data_layout_dataset)) |
| { |
| // Validate output |
| validate(CLAccessor(_target), _reference, tolerance_f32); |
| } |
| FIXTURE_DATA_TEST_CASE(RunLarge, CLPoolingLayerFixture<float>, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), combine(PoolingLayerDatasetFP, |
| framework::dataset::make("DataType", |
| DataType::F32))), |
| pool_data_layout_dataset)) |
| { |
| // Validate output |
| validate(CLAccessor(_target), _reference, tolerance_f32); |
| } |
| |
| FIXTURE_DATA_TEST_CASE(RunSmallIndices, CLPoolingLayerIndicesFixture<float>, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallNoneUnitShapes(), |
| combine(PoolingLayerDatasetFPIndicesSmall, |
| framework::dataset::make("DataType", |
| DataType::F32))), |
| pool_data_layout_dataset)) |
| { |
| // Validate output |
| validate(CLAccessor(_target), _reference, tolerance_f32); |
| validate(CLAccessor(_target_indices), _ref_indices); |
| } |
| |
| TEST_SUITE(GlobalPooling) |
| // *INDENT-OFF* |
| // clang-format off |
| FIXTURE_DATA_TEST_CASE(RunSmall, CLPoolingLayerFixture<float>, framework::DatasetMode::ALL, |
| combine(combine(combine(combine(combine(combine( |
| framework::dataset::make("InputShape", { TensorShape(27U, 13U, 2U), |
| TensorShape(27U, 13U, 2U, 4U) |
| }), |
| framework::dataset::make("PoolingType", { PoolingType::AVG, PoolingType::L2, PoolingType::MAX })), |
| framework::dataset::make("PoolingSize", { Size2D(27, 13) })), |
| framework::dataset::make("PadStride", PadStrideInfo(1, 1, 0, 0))), |
| framework::dataset::make("ExcludePadding", false)), |
| framework::dataset::make("DataType", DataType::F32)), |
| framework::dataset::make("DataLayout", DataLayout::NHWC))) |
| { |
| // Validate output |
| validate(CLAccessor(_target), _reference, tolerance_f32); |
| } |
| |
| FIXTURE_DATA_TEST_CASE(RunLarge, CLPoolingLayerFixture<float>, framework::DatasetMode::NIGHTLY, |
| combine(combine(combine(combine(combine(combine( |
| framework::dataset::make("InputShape", { TensorShape(79U, 37U, 11U), |
| TensorShape(79U, 37U, 11U, 4U) |
| }), |
| framework::dataset::make("PoolingType", { PoolingType::AVG, PoolingType::L2, PoolingType::MAX })), |
| framework::dataset::make("PoolingSize", { Size2D(79, 37) })), |
| framework::dataset::make("PadStride", PadStrideInfo(1, 1, 0, 0))), |
| framework::dataset::make("ExcludePadding", false)), |
| framework::dataset::make("DataType", DataType::F32)), |
| framework::dataset::make("DataLayout", DataLayout::NHWC))) |
| { |
| // Validate output |
| validate(CLAccessor(_target), _reference, tolerance_f32); |
| } |
| // clang-format on |
| // *INDENT-ON* |
| TEST_SUITE_END() // GlobalPooling |
| |
| TEST_SUITE_END() // FP32 |
| |
| TEST_SUITE(FP16) |
| FIXTURE_DATA_TEST_CASE(RunSmall, CLMixedPrecesionPoolingLayerFixture<half>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallNoneUnitShapes(), |
| combine(PoolingLayerDatasetFPSmall, |
| framework::dataset::make("DataType", DataType::F16))), |
| pool_data_layout_dataset), |
| pool_fp_mixed_precision_dataset)) |
| { |
| // Validate output |
| validate(CLAccessor(_target), _reference, tolerance_f16); |
| } |
| FIXTURE_DATA_TEST_CASE(RunLarge, CLMixedPrecesionPoolingLayerFixture<half>, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), combine(PoolingLayerDatasetFP, |
| framework::dataset::make("DataType", DataType::F16))), |
| pool_data_layout_dataset), |
| pool_fp_mixed_precision_dataset)) |
| { |
| // Validate output |
| validate(CLAccessor(_target), _reference, tolerance_f16); |
| } |
| FIXTURE_DATA_TEST_CASE(RunSmallIndices, CLPoolingLayerIndicesFixture<half>, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallNoneUnitShapes(), |
| combine(PoolingLayerDatasetFPIndicesSmall, |
| framework::dataset::make("DataType", |
| DataType::F16))), |
| pool_data_layout_dataset)) |
| { |
| // Validate output |
| validate(CLAccessor(_target), _reference, tolerance_f32); |
| validate(CLAccessor(_target_indices), _ref_indices); |
| } |
| |
| TEST_SUITE(GlobalPooling) |
| // *INDENT-OFF* |
| // clang-format off |
| FIXTURE_DATA_TEST_CASE(RunSmall, CLPoolingLayerFixture<half>, framework::DatasetMode::ALL, |
| combine(combine(combine(combine(combine(combine( |
| framework::dataset::make("InputShape", { TensorShape(27U, 13U, 2U), |
| TensorShape(27U, 13U, 2U, 4U) |
| }), |
| framework::dataset::make("PoolingType", { PoolingType::AVG, PoolingType::L2, PoolingType::MAX })), |
| framework::dataset::make("PoolingSize", { Size2D(27, 13) })), |
| framework::dataset::make("PadStride", PadStrideInfo(1, 1, 0, 0))), |
| framework::dataset::make("ExcludePadding", false)), |
| framework::dataset::make("DataType", DataType::F16)), |
| framework::dataset::make("DataLayout", DataLayout::NHWC))) |
| { |
| // Validate output |
| validate(CLAccessor(_target), _reference, tolerance_f16); |
| } |
| |
| FIXTURE_DATA_TEST_CASE(RunLarge, CLPoolingLayerFixture<half>, framework::DatasetMode::NIGHTLY, |
| combine(combine(combine(combine(combine(combine( |
| framework::dataset::make("InputShape", { TensorShape(79U, 37U, 11U), |
| TensorShape(79U, 37U, 11U, 4U) |
| }), |
| framework::dataset::make("PoolingType", { PoolingType::AVG, PoolingType::L2, PoolingType::MAX })), |
| framework::dataset::make("PoolingSize", { Size2D(79, 37) })), |
| framework::dataset::make("PadStride", PadStrideInfo(1, 1, 0, 0))), |
| framework::dataset::make("ExcludePadding", false)), |
| framework::dataset::make("DataType", DataType::F16)), |
| framework::dataset::make("DataLayout", DataLayout::NHWC))) |
| { |
| // Validate output |
| validate(CLAccessor(_target), _reference, tolerance_f16); |
| } |
| // clang-format on |
| // *INDENT-ON* |
| TEST_SUITE_END() // GlobalPooling |
| |
| TEST_SUITE_END() // FP16 |
| TEST_SUITE_END() // Float |
| |
| TEST_SUITE(Quantized) |
| |
| template <typename T> |
| using CLPoolingLayerQuantizedFixture = PoolingLayerValidationQuantizedFixture<CLTensor, CLAccessor, CLPoolingLayer, T>; |
| template <typename T> |
| using CLPoolingLayerQuantizedMixedDataLayoutFixture = PoolingLayerValidationQuantizedFixture<CLTensor, CLAccessor, CLPoolingLayer, T, true>; |
| |
| TEST_SUITE(QASYMM8) |
| FIXTURE_DATA_TEST_CASE(RunSmall, CLPoolingLayerQuantizedFixture<uint8_t>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallNoneUnitShapes(), |
| combine(PoolingLayerDatasetQASYMM8Small, |
| framework::dataset::make("DataType", DataType::QASYMM8))), |
| pool_data_layout_dataset), |
| framework::dataset::make("InputQuantInfo", { QuantizationInfo(1.f / 255.f, 10), QuantizationInfo(1.f / 255.f, 10) })), |
| framework::dataset::make("OutputQuantInfo", { QuantizationInfo(1.f / 255.f, 5), QuantizationInfo(1.f / 255.f, 10) }))) |
| { |
| // Validate output |
| validate(CLAccessor(_target), _reference, tolerance_qasymm8); |
| } |
| FIXTURE_DATA_TEST_CASE(RunMixedDataLayout, CLPoolingLayerQuantizedMixedDataLayoutFixture<uint8_t>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallNoneUnitShapes(), |
| combine(combine(combine(combine(framework::dataset::make("PoolingType", { PoolingType::MAX, PoolingType::AVG }), |
| framework::dataset::make("PoolingSize", { Size2D(2, 2) })), |
| framework::dataset::make("PadStride", { PadStrideInfo(1, 2, 1, 1) })), |
| framework::dataset::make("ExcludePadding", { true })), |
| framework::dataset::make("DataType", DataType::QASYMM8))), |
| framework::dataset::make("DataLayout", { DataLayout::NHWC, DataLayout::NCHW })), |
| framework::dataset::make("InputQuantInfo", { QuantizationInfo(1.f / 255.f, 10) })), |
| framework::dataset::make("OutputQuantInfo", { QuantizationInfo(1.f / 255.f, 5) }))) |
| { |
| // Validate output |
| validate(CLAccessor(_target), _reference, tolerance_qasymm8); |
| } |
| TEST_SUITE_END() // QASYMM8 |
| |
| TEST_SUITE(QASYMM8_SIGNED) |
| FIXTURE_DATA_TEST_CASE(RunSmall, CLPoolingLayerQuantizedFixture<int8_t>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallNoneUnitShapes(), |
| combine(PoolingLayerDatasetQASYMM8Small, |
| framework::dataset::make("DataType", DataType::QASYMM8_SIGNED))), |
| pool_data_layout_dataset), |
| framework::dataset::make("InputQuantInfo", { QuantizationInfo(1.f / 127.f, -10), QuantizationInfo(1.f / 127.f, -10) })), |
| framework::dataset::make("OutputQuantInfo", { QuantizationInfo(1.f / 127.f, -5), QuantizationInfo(1.f / 127.f, -10) }))) |
| { |
| // Validate output |
| validate(CLAccessor(_target), _reference, tolerance_qasymm8_s); |
| } |
| FIXTURE_DATA_TEST_CASE(RunMixedDataLayout, CLPoolingLayerQuantizedMixedDataLayoutFixture<int8_t>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallNoneUnitShapes(), |
| combine(combine(combine(combine(framework::dataset::make("PoolingType", { PoolingType::MAX, PoolingType::AVG }), |
| framework::dataset::make("PoolingSize", { Size2D(2, 2) })), |
| framework::dataset::make("PadStride", { PadStrideInfo(1, 2, 1, 1) })), |
| framework::dataset::make("ExcludePadding", { true })), |
| framework::dataset::make("DataType", DataType::QASYMM8_SIGNED))), |
| framework::dataset::make("DataLayout", { DataLayout::NHWC, DataLayout::NCHW })), |
| framework::dataset::make("InputQuantInfo", { QuantizationInfo(1.f / 127.f, -10) })), |
| framework::dataset::make("OutputQuantInfo", { QuantizationInfo(1.f / 127.f, -10) }))) |
| { |
| // Validate output |
| validate(CLAccessor(_target), _reference, tolerance_qasymm8_s); |
| } |
| TEST_SUITE_END() // QASYMM8_SIGNED |
| TEST_SUITE_END() // Quantized |
| TEST_SUITE_END() // PoolingLayer |
| TEST_SUITE_END() // CL |
| } // namespace validation |
| } // namespace test |
| } // namespace arm_compute |
