| /* |
| * Copyright (c) 2017-2018 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/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 |
| { |
| /** Failing data set */ |
| const auto PoolingLayerDatasetSpecial = ((((framework::dataset::make("Shape", TensorShape{ 60U, 52U, 3U, 5U }) |
| * framework::dataset::make("PoolType", PoolingType::AVG)) |
| * framework::dataset::make("PoolingSize", 100)) |
| * framework::dataset::make("PadStride", PadStrideInfo(5, 5, 50, 50))) |
| * framework::dataset::make("ExcludePadding", true)); |
| /** Input data set for floating-point data types */ |
| const auto PoolingLayerDatasetFP = combine(combine(combine(datasets::PoolingTypes(), framework::dataset::make("PoolingSize", { 2, 3, 4, 7, 9 })), |
| 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 })); |
| |
| /** Input data set for fixed-point data types */ |
| const auto PoolingLayerDatasetQS = combine(combine(combine(framework::dataset::make("PoolingType", { PoolingType::MAX, PoolingType::AVG }), framework::dataset::make("PoolingSize", { 2, 3 })), |
| 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 })); |
| |
| /** Input data set for asymmetric data type */ |
| const auto PoolingLayerDatasetQASYMM8 = combine(combine(combine(framework::dataset::make("PoolingType", { PoolingType::MAX, PoolingType::AVG }), framework::dataset::make("PoolingSize", { 2, 3 })), |
| 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 })); |
| |
| 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<float> tolerance_qs16(6); /**< Tolerance value for comparing reference's output against implementation's output for 16-bit fixed-point type */ |
| constexpr AbsoluteTolerance<float> tolerance_qs8(3); /**< Tolerance value for comparing reference's output against implementation's output for 8-bit fixed-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 */ |
| } // 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, 0), // Mismatching data type |
| TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), // Window shrink |
| TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::QS8, 4), // Mismatching fixed point position |
| TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::QS16, 11), |
| TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), // Invalid pad/size combination |
| TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), // Invalid pad/size combination |
| TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::QASYMM8, 0), // Invalid parameters |
| TensorInfo(TensorShape(15U, 13U, 5U), 1, DataType::F32, 0), // Non-rectangular Global Pooling |
| TensorInfo(TensorShape(13U, 13U, 5U), 1, DataType::F32, 0), // Invalid output Global Pooling |
| TensorInfo(TensorShape(13U, 13U, 5U), 1, DataType::F32, 0), |
| }), |
| framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F16, 0), |
| TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32, 0), |
| TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::QS8, 5), |
| TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::QS16, 11), |
| TensorInfo(TensorShape(30U, 11U, 2U), 1, DataType::F32, 0), |
| TensorInfo(TensorShape(25U, 16U, 2U), 1, DataType::F32, 0), |
| TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::QASYMM8, 0), |
| TensorInfo(TensorShape(1U, 1U, 5U), 1, DataType::F32, 0), |
| TensorInfo(TensorShape(2U, 2U, 5U), 1, DataType::F32, 0), |
| TensorInfo(TensorShape(1U, 1U, 5U), 1, DataType::F32, 0), |
| })), |
| framework::dataset::make("PoolInfo", { PoolingLayerInfo(PoolingType::AVG, 3, PadStrideInfo(1, 1, 0, 0)), |
| PoolingLayerInfo(PoolingType::AVG, 3, PadStrideInfo(1, 1, 0, 0)), |
| PoolingLayerInfo(PoolingType::AVG, 3, PadStrideInfo(1, 1, 0, 0)), |
| PoolingLayerInfo(PoolingType::AVG, 3, PadStrideInfo(1, 1, 0, 0)), |
| PoolingLayerInfo(PoolingType::AVG, 2, PadStrideInfo(1, 1, 2, 0)), |
| PoolingLayerInfo(PoolingType::AVG, 2, PadStrideInfo(1, 1, 0, 2)), |
| PoolingLayerInfo(PoolingType::L2, 3, PadStrideInfo(1, 1, 0, 0)), |
| PoolingLayerInfo(PoolingType::AVG), |
| PoolingLayerInfo(PoolingType::MAX), |
| PoolingLayerInfo(PoolingType::AVG), |
| })), |
| framework::dataset::make("Expected", { false, false, false, true, false, false, false, false, false, true })), |
| 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>; |
| |
| TEST_SUITE(Float) |
| TEST_SUITE(FP32) |
| FIXTURE_DATA_TEST_CASE(RunSpecial, CLPoolingLayerFixture<float>, framework::DatasetMode::ALL, PoolingLayerDatasetSpecial * framework::dataset::make("DataType", DataType::F32)) |
| { |
| // Validate output |
| validate(CLAccessor(_target), _reference, tolerance_f32); |
| } |
| FIXTURE_DATA_TEST_CASE(RunSmall, CLPoolingLayerFixture<float>, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), combine(PoolingLayerDatasetFP, framework::dataset::make("DataType", |
| DataType::F32)))) |
| { |
| // Validate output |
| validate(CLAccessor(_target), _reference, tolerance_f32); |
| } |
| FIXTURE_DATA_TEST_CASE(RunLarge, CLPoolingLayerFixture<float>, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), combine(PoolingLayerDatasetFP, framework::dataset::make("DataType", |
| DataType::F32)))) |
| { |
| // Validate output |
| validate(CLAccessor(_target), _reference, tolerance_f32); |
| } |
| TEST_SUITE_END() |
| |
| TEST_SUITE(FP16) |
| FIXTURE_DATA_TEST_CASE(RunSmall, CLPoolingLayerFixture<half>, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), combine(PoolingLayerDatasetFP, |
| framework::dataset::make("DataType", DataType::F16)))) |
| { |
| // Validate output |
| validate(CLAccessor(_target), _reference, tolerance_f16); |
| } |
| FIXTURE_DATA_TEST_CASE(RunLarge, CLPoolingLayerFixture<half>, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), combine(PoolingLayerDatasetFP, |
| framework::dataset::make("DataType", DataType::F16)))) |
| { |
| // Validate output |
| validate(CLAccessor(_target), _reference, tolerance_f16); |
| } |
| TEST_SUITE_END() |
| TEST_SUITE_END() |
| |
| template <typename T> |
| using CLPoolingLayerFixedPointFixture = PoolingLayerValidationFixedPointFixture<CLTensor, CLAccessor, CLPoolingLayer, T>; |
| |
| TEST_SUITE(FixedPoint) |
| TEST_SUITE(QS8) |
| FIXTURE_DATA_TEST_CASE(RunSmall, CLPoolingLayerFixedPointFixture<int8_t>, framework::DatasetMode::ALL, combine(combine(datasets::SmallShapes(), combine(PoolingLayerDatasetQS, |
| framework::dataset::make("DataType", DataType::QS8))), |
| framework::dataset::make("FractionalBits", 1, 4))) |
| { |
| // Validate output |
| validate(CLAccessor(_target), _reference, tolerance_qs8); |
| } |
| FIXTURE_DATA_TEST_CASE(RunLarge, CLPoolingLayerFixedPointFixture<int8_t>, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), combine(PoolingLayerDatasetQS, |
| framework::dataset::make("DataType", DataType::QS8))), |
| framework::dataset::make("FractionalBits", 1, 4))) |
| { |
| // Validate output |
| validate(CLAccessor(_target), _reference, tolerance_qs8); |
| } |
| TEST_SUITE_END() |
| |
| TEST_SUITE(QS16) |
| FIXTURE_DATA_TEST_CASE(RunSmall, CLPoolingLayerFixedPointFixture<int16_t>, framework::DatasetMode::ALL, combine(combine(datasets::SmallShapes(), combine(PoolingLayerDatasetQS, |
| framework::dataset::make("DataType", DataType::QS16))), |
| framework::dataset::make("FractionalBits", 1, 12))) |
| { |
| // Validate output |
| validate(CLAccessor(_target), _reference, tolerance_qs16); |
| } |
| FIXTURE_DATA_TEST_CASE(RunLarge, CLPoolingLayerFixedPointFixture<int16_t>, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), combine(PoolingLayerDatasetQS, |
| framework::dataset::make("DataType", DataType::QS16))), |
| framework::dataset::make("FractionalBits", 1, 12))) |
| { |
| // Validate output |
| validate(CLAccessor(_target), _reference, tolerance_qs16); |
| } |
| TEST_SUITE_END() |
| TEST_SUITE_END() |
| |
| TEST_SUITE(Quantized) |
| |
| template <typename T> |
| using CLPoolingLayerQuantizedFixture = PoolingLayerValidationQuantizedFixture<CLTensor, CLAccessor, CLPoolingLayer, T>; |
| |
| TEST_SUITE(QASYMM8) |
| FIXTURE_DATA_TEST_CASE(RunSmall, CLPoolingLayerQuantizedFixture<uint8_t>, framework::DatasetMode::ALL, combine(combine(datasets::SmallShapes(), combine(PoolingLayerDatasetQASYMM8, |
| framework::dataset::make("DataType", DataType::QASYMM8))), |
| framework::dataset::make("QuantizationInfo", { QuantizationInfo(2.f / 255, 127), |
| QuantizationInfo(7.f / 255, 123) |
| }))) |
| { |
| // Validate output |
| validate(CLAccessor(_target), _reference, tolerance_qasymm8); |
| } |
| FIXTURE_DATA_TEST_CASE(RunLarge, CLPoolingLayerQuantizedFixture<uint8_t>, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), combine(PoolingLayerDatasetQASYMM8, |
| framework::dataset::make("DataType", DataType::QASYMM8))), |
| framework::dataset::make("QuantizationInfo", { QuantizationInfo(1.f / 255, 0) }))) |
| { |
| // Validate output |
| validate(CLAccessor(_target), _reference, tolerance_qasymm8); |
| } |
| TEST_SUITE_END() |
| TEST_SUITE_END() |
| |
| TEST_SUITE_END() |
| TEST_SUITE_END() |
| } // namespace validation |
| } // namespace test |
| } // namespace arm_compute |