| /* | |
| * 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/TensorShape.h" | |
| #include "tests/framework/datasets/Datasets.h" | |
| #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/CLPooling3dLayer.h" | |
| #include "tests/CL/CLAccessor.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 Pooling3DLayerDatasetQuantized = combine(combine(combine(combine(framework::dataset::make("PoolingType", { PoolingType::MAX, PoolingType::AVG }), | |
| 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(1, 1, 2), 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 })); | |
| 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(0.1f); /**< Tolerance value for comparing reference's output against implementation's output for 16-bit floating-point type */ | |
| constexpr AbsoluteTolerance<int8_t> tolerance_qasymm8_signed(1); /**< Tolerance value for comparing reference's output against implementation's output for QASYMM8_SIGNED integer datatype*/ | |
| 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(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), // Invalid data type | |
| TensorInfo(TensorShape(5U, 13U, 13U, 4U, 4U), 1, DataType::F32, DataLayout::NDHWC), | |
| 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), | |
| 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, 1U, 1U, 1U, 4U), 1, DataType::F32, DataLayout::NDHWC), | |
| TensorInfo(TensorShape(1U, 15U, 1U, 2U, 4U), 1, DataType::F32, DataLayout::NDHWC), // Output width larger than input | |
| 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), | |
| 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), | |
| 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 smaller than the padding size with padding excluded | |
| Pooling3dLayerInfo(PoolingType::AVG, 1, Size3D(2U, 2U, 2U), Padding3D(2, 2, 2), false), // Pool size is smaller than the padding size with padding included | |
| 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, true , false, true, false, false, false})), | |
| input_info, output_info, pool_info, expected) | |
| { | |
| ARM_COMPUTE_EXPECT(bool(CLPooling3dLayer::validate(&input_info.clone()->set_is_resizable(false), &output_info.clone()->set_is_resizable(false), pool_info)) == expected, framework::LogLevel::ERRORS); | |
| } | |
| template <typename T> | |
| using CLPooling3dLayerFixture = Pooling3dLayerValidationFixture<CLTensor, CLAccessor, CLPooling3dLayer, T>; | |
| template <typename T> | |
| using CLSpecialPooling3dLayerFixture = SpecialPooling3dLayerValidationFixture<CLTensor, CLAccessor, CLPooling3dLayer, T>; | |
| template <typename T> | |
| using CLPooling3dLayerGlobalFixture = Pooling3dLayerGlobalValidationFixture<CLTensor, CLAccessor, CLPooling3dLayer, T>; | |
| template <typename T> | |
| using CLPooling3dLayerQuantizedFixture = Pooling3dLayerValidationQuantizedFixture<CLTensor, CLAccessor, CLPooling3dLayer, T>; | |
| // clang-format on | |
| // *INDENT-ON* | |
| TEST_SUITE(QUANTIZED) | |
| TEST_SUITE(QASYMM8) | |
| // Small Dataset Quantized Dataset | |
| FIXTURE_DATA_TEST_CASE(RunSmall, CLPooling3dLayerQuantizedFixture<uint8_t>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Small5dShapes(), | |
| combine(Pooling3DLayerDatasetQuantized, | |
| framework::dataset::make("DataType", DataType::QASYMM8))), | |
| 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); | |
| } | |
| // Large Dataset Quantized Dataset | |
| FIXTURE_DATA_TEST_CASE(RunLarge, CLPooling3dLayerQuantizedFixture<uint8_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::Large5dShapes(), | |
| combine(Pooling3DLayerDatasetQuantized, | |
| framework::dataset::make("DataType", DataType::QASYMM8))), | |
| 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); | |
| } | |
| TEST_SUITE_END() | |
| TEST_SUITE(QASYMM8_SIGNED) | |
| // Large Dataset Quantized Dataset Signed | |
| FIXTURE_DATA_TEST_CASE(RunSmall, CLPooling3dLayerQuantizedFixture<int8_t>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Small5dShapes(), | |
| combine(Pooling3DLayerDatasetQuantized, | |
| framework::dataset::make("DataType", DataType::QASYMM8_SIGNED))), | |
| 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_signed); | |
| } | |
| // Large Dataset Quantized pooling test | |
| FIXTURE_DATA_TEST_CASE(RunLarge, CLPooling3dLayerQuantizedFixture<int8_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::Large5dShapes(), | |
| combine(Pooling3DLayerDatasetQuantized, | |
| framework::dataset::make("DataType", DataType::QASYMM8_SIGNED))), | |
| 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_signed); | |
| } | |
| TEST_SUITE_END() | |
| TEST_SUITE_END() | |
| TEST_SUITE(Float) | |
| TEST_SUITE(FP32) | |
| FIXTURE_DATA_TEST_CASE(RunSpecial, CLSpecialPooling3dLayerFixture<float>, framework::DatasetMode::ALL, datasets::Pooling3dLayerDatasetSpecial() * framework::dataset::make("DataType", DataType::F32)) | |
| { | |
| // Validate output | |
| validate(CLAccessor(_target), _reference, tolerance_f32); | |
| } | |
| FIXTURE_DATA_TEST_CASE(RunSmall, CLPooling3dLayerFixture<float>, framework::DatasetMode::PRECOMMIT, combine(datasets::Small5dShapes(), combine(Pooling3dLayerDatasetFPSmall, | |
| framework::dataset::make("DataType", DataType::F32)))) | |
| { | |
| // Validate output | |
| validate(CLAccessor(_target), _reference, tolerance_f32); | |
| } | |
| FIXTURE_DATA_TEST_CASE(RunLarge, CLPooling3dLayerFixture<float>, framework::DatasetMode::NIGHTLY, combine(datasets::Large5dShapes(), combine(Pooling3dLayerDatasetFP, | |
| framework::dataset::make("DataType", DataType::F32)))) | |
| { | |
| // Validate output | |
| validate(CLAccessor(_target), _reference, tolerance_f32); | |
| } | |
| TEST_SUITE(GlobalPooling) | |
| // *INDENT-OFF* | |
| // clang-format off | |
| FIXTURE_DATA_TEST_CASE(RunSmall, CLPooling3dLayerFixture<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)), | |
| framework::dataset::make("DataType", DataType::F32))) | |
| { | |
| // Validate output | |
| validate(CLAccessor(_target), _reference, tolerance_f32); | |
| } | |
| FIXTURE_DATA_TEST_CASE(RunSmallGlobal, CLPooling3dLayerGlobalFixture<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(CLAccessor(_target), _reference, tolerance_f32); | |
| } | |
| FIXTURE_DATA_TEST_CASE(RunLarge, CLPooling3dLayerFixture<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)), | |
| framework::dataset::make("DataType", DataType::F32))) | |
| { | |
| // 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, CLPooling3dLayerFixture<half>, framework::DatasetMode::PRECOMMIT, combine(datasets::Small5x5Shapes(), combine(Pooling3dLayerDatasetFPSmall, | |
| framework::dataset::make("DataType", DataType::F16)))) | |
| { | |
| // Validate output | |
| validate(CLAccessor(_target), _reference, tolerance_f16); | |
| } | |
| FIXTURE_DATA_TEST_CASE(RunLarge, CLPooling3dLayerFixture<half>, framework::DatasetMode::NIGHTLY, combine(datasets::Large5dShapes(), combine(Pooling3dLayerDatasetFP, | |
| framework::dataset::make("DataType", DataType::F16)))) | |
| { | |
| // Validate output | |
| validate(CLAccessor(_target), _reference, tolerance_f16); | |
| } | |
| TEST_SUITE(GlobalPooling) | |
| // *INDENT-OFF* | |
| // clang-format off | |
| FIXTURE_DATA_TEST_CASE(RunSmall, CLPooling3dLayerFixture<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)), | |
| framework::dataset::make("DataType", DataType::F16))) | |
| { | |
| // Validate output | |
| validate(CLAccessor(_target), _reference, tolerance_f16); | |
| } | |
| FIXTURE_DATA_TEST_CASE(RunSmallGlobal, CLPooling3dLayerGlobalFixture<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(CLAccessor(_target), _reference, tolerance_f16); | |
| } | |
| FIXTURE_DATA_TEST_CASE(RunLarge, CLPooling3dLayerFixture<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(CLAccessor(_target), _reference, tolerance_f16); | |
| } | |
| // clang-format on | |
| // *INDENT-ON* | |
| TEST_SUITE_END() // GlobalPooling | |
| TEST_SUITE_END() // FP16 | |
| TEST_SUITE_END() // Float | |
| TEST_SUITE_END() // Pooling3dLayer | |
| TEST_SUITE_END() // CL | |
| } // namespace validation | |
| } // namespace test | |
| } // namespace arm_compute |