| /* |
| * Copyright (c) 2018-2020 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/CLElementwiseOperations.h" |
| #include "tests/CL/CLAccessor.h" |
| #include "tests/PaddingCalculator.h" |
| #include "tests/datasets/ConvertPolicyDataset.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/ElementwiseOperationsFixture.h" |
| |
| namespace arm_compute |
| { |
| namespace test |
| { |
| namespace validation |
| { |
| namespace |
| { |
| RelativeTolerance<float> tolerance_fp32(0.000001f); |
| RelativeTolerance<float> tolerance_fp16(0.001f); |
| |
| /** Input data sets **/ |
| const auto ElementwiseMinU8Dataset = combine(combine(framework::dataset::make("DataType", DataType::U8), framework::dataset::make("DataType", DataType::U8)), framework::dataset::make("DataType", |
| DataType::U8)); |
| const auto ElementwiseMinQASYMM8Dataset = combine(combine(framework::dataset::make("DataType", DataType::QASYMM8), framework::dataset::make("DataType", DataType::QASYMM8)), |
| framework::dataset::make("DataType", |
| DataType::QASYMM8)); |
| const auto ElementwiseMinQASYMM8SignedDataset = combine(combine(framework::dataset::make("DataType", DataType::QASYMM8_SIGNED), framework::dataset::make("DataType", DataType::QASYMM8_SIGNED)), |
| framework::dataset::make("DataType", |
| DataType::QASYMM8_SIGNED)); |
| const auto ElementwiseMinQSYMM16Dataset = combine(combine(framework::dataset::make("DataType", DataType::QSYMM16), framework::dataset::make("DataType", DataType::QSYMM16)), |
| framework::dataset::make("DataType", |
| DataType::QSYMM16)); |
| const auto ElementwiseMinS16Dataset = combine(combine(framework::dataset::make("DataType", { DataType::U8, DataType::S16 }), framework::dataset::make("DataType", DataType::S16)), |
| framework::dataset::make("DataType", DataType::S16)); |
| const auto ElementwiseMinFP16Dataset = combine(combine(framework::dataset::make("DataType", DataType::F16), framework::dataset::make("DataType", DataType::F16)), |
| framework::dataset::make("DataType", DataType::F16)); |
| const auto ElementwiseMinFP32Dataset = combine(combine(framework::dataset::make("DataType", DataType::F32), framework::dataset::make("DataType", DataType::F32)), |
| framework::dataset::make("DataType", DataType::F32)); |
| const auto EmptyActivationFunctionsDataset = framework::dataset::make("ActivationInfo", |
| { ActivationLayerInfo() }); |
| const auto ActivationFunctionsDataset = framework::dataset::make("ActivationInfo", |
| { |
| ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::BOUNDED_RELU, 0.75f, 0.25f), |
| ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LOGISTIC, 0.75f, 0.25f) |
| }); |
| } // namespace |
| |
| TEST_SUITE(CL) |
| TEST_SUITE(ElementwiseMin) |
| |
| // *INDENT-OFF* |
| // clang-format off |
| DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip( |
| framework::dataset::make("Input1Info", { TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), |
| TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), |
| TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), // Invalid data type combination |
| TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), // Mismatching shapes |
| }), |
| framework::dataset::make("Input2Info",{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), |
| TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), |
| TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S16), |
| TensorInfo(TensorShape(48U, 11U, 2U), 1, DataType::F32), |
| })), |
| framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S16), |
| TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), |
| TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), |
| TensorInfo(TensorShape(48U, 11U, 2U), 1, DataType::F32), |
| })), |
| framework::dataset::make("Expected", { true, true, false, false})), |
| input1_info, input2_info, output_info, expected) |
| { |
| ARM_COMPUTE_EXPECT(bool(CLElementwiseMin::validate(&input1_info.clone()->set_is_resizable(false), &input2_info.clone()->set_is_resizable(false), &output_info.clone()->set_is_resizable(false))) == expected, framework::LogLevel::ERRORS); |
| } |
| // clang-format on |
| // *INDENT-ON* |
| |
| template <typename T> |
| using CLElementwiseMinFixture = ElementwiseMinValidationFixture<CLTensor, CLAccessor, CLElementwiseMin, T>; |
| |
| TEST_SUITE(Integer) |
| TEST_SUITE(U8) |
| FIXTURE_DATA_TEST_CASE(RunSmall, CLElementwiseMinFixture<uint8_t>, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), ElementwiseMinU8Dataset)) |
| { |
| // Validate output |
| validate(CLAccessor(_target), _reference); |
| } |
| TEST_SUITE_END() |
| |
| TEST_SUITE(S16) |
| FIXTURE_DATA_TEST_CASE(RunSmall, CLElementwiseMinFixture<int16_t>, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), ElementwiseMinS16Dataset)) |
| { |
| // Validate output |
| validate(CLAccessor(_target), _reference); |
| } |
| TEST_SUITE_END() |
| TEST_SUITE_END() |
| |
| template <typename T> |
| using CLElementwiseMinQuantizedFixture = ElementwiseMinValidationQuantizedFixture<CLTensor, CLAccessor, CLElementwiseMin, T>; |
| |
| TEST_SUITE(Quantized) |
| TEST_SUITE(QASYMM8) |
| FIXTURE_DATA_TEST_CASE(RunSmall, CLElementwiseMinQuantizedFixture<uint8_t>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallShapes(), |
| ElementwiseMinQASYMM8Dataset), |
| framework::dataset::make("Src0QInfo", { QuantizationInfo(5.f / 255.f, 20) })), |
| framework::dataset::make("Src1QInfo", { QuantizationInfo(2.f / 255.f, 10) })), |
| framework::dataset::make("OutQInfo", { QuantizationInfo(1.f / 255.f, 5) }))) |
| { |
| // Validate output |
| validate(CLAccessor(_target), _reference, tolerance_fp32, 0.01); |
| } |
| TEST_SUITE_END() |
| TEST_SUITE(QASYMM8_SIGNED) |
| FIXTURE_DATA_TEST_CASE(RunSmall, CLElementwiseMinQuantizedFixture<int8_t>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallShapes(), |
| ElementwiseMinQASYMM8SignedDataset), |
| framework::dataset::make("Src0QInfo", { QuantizationInfo(5.f / 255.f, 20) })), |
| framework::dataset::make("Src1QInfo", { QuantizationInfo(2.f / 255.f, 10) })), |
| framework::dataset::make("OutQInfo", { QuantizationInfo(1.f / 255.f, 5) }))) |
| { |
| // Validate output |
| validate(CLAccessor(_target), _reference); |
| } |
| TEST_SUITE_END() |
| TEST_SUITE(QSYMM16) |
| FIXTURE_DATA_TEST_CASE(RunSmall, CLElementwiseMinQuantizedFixture<int16_t>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallShapes(), |
| ElementwiseMinQSYMM16Dataset), |
| framework::dataset::make("SrcQInfo0", { QuantizationInfo(1.f / 32768.f, 0), QuantizationInfo(5.f / 32768.f, 0) })), |
| framework::dataset::make("SrcQInfo1", { QuantizationInfo(2.f / 32768.f, 0), QuantizationInfo(5.f / 32768.f, 0) })), |
| framework::dataset::make("OutQInfo", { QuantizationInfo(5.f / 32768.f, 0) }))) |
| { |
| // Validate output |
| validate(CLAccessor(_target), _reference); |
| } |
| TEST_SUITE_END() |
| TEST_SUITE_END() |
| |
| template <typename T> |
| using CLElementwiseMinFloatFixture = ElementwiseMinValidationFloatFixture<CLTensor, CLAccessor, CLElementwiseMin, T>; |
| |
| TEST_SUITE(Float) |
| TEST_SUITE(FP16) |
| FIXTURE_DATA_TEST_CASE(RunSmall, CLElementwiseMinFloatFixture<half>, framework::DatasetMode::ALL, combine(combine(datasets::SmallShapes(), ElementwiseMinFP16Dataset), EmptyActivationFunctionsDataset)) |
| { |
| // Validate output |
| validate(CLAccessor(_target), _reference, tolerance_fp16, 0.01); |
| } |
| FIXTURE_DATA_TEST_CASE(RunWithActivation, CLElementwiseMinFloatFixture<half>, framework::DatasetMode::ALL, combine(combine(datasets::TinyShapes(), ElementwiseMinFP16Dataset), |
| ActivationFunctionsDataset)) |
| { |
| // Validate output |
| validate(CLAccessor(_target), _reference, tolerance_fp16, 0.01); |
| } |
| TEST_SUITE_END() |
| |
| TEST_SUITE(FP32) |
| FIXTURE_DATA_TEST_CASE(RunSmall, CLElementwiseMinFloatFixture<float>, framework::DatasetMode::ALL, combine(combine(datasets::SmallShapes(), ElementwiseMinFP32Dataset), |
| EmptyActivationFunctionsDataset)) |
| { |
| // Validate output |
| validate(CLAccessor(_target), _reference, tolerance_fp32); |
| } |
| FIXTURE_DATA_TEST_CASE(RunWithActivation, CLElementwiseMinFloatFixture<float>, framework::DatasetMode::ALL, combine(combine(datasets::TinyShapes(), ElementwiseMinFP32Dataset), |
| ActivationFunctionsDataset)) |
| { |
| // Validate output |
| validate(CLAccessor(_target), _reference, tolerance_fp32); |
| } |
| template <typename T> |
| using CLElementwiseMinBroadcastFloatFixture = ElementwiseMinBroadcastValidationFloatFixture<CLTensor, CLAccessor, CLElementwiseMin, T>; |
| |
| FIXTURE_DATA_TEST_CASE(RunSmallBroadcast, CLElementwiseMinBroadcastFloatFixture<float>, framework::DatasetMode::ALL, combine(combine(datasets::SmallShapesBroadcast(), |
| ElementwiseMinFP32Dataset), |
| EmptyActivationFunctionsDataset)) |
| { |
| // Validate output |
| validate(CLAccessor(_target), _reference, tolerance_fp32); |
| } |
| FIXTURE_DATA_TEST_CASE(RunWithActivationBroadcast, CLElementwiseMinBroadcastFloatFixture<float>, framework::DatasetMode::ALL, combine(combine(datasets::TinyShapesBroadcast(), |
| ElementwiseMinFP32Dataset), |
| ActivationFunctionsDataset)) |
| { |
| // Validate output |
| validate(CLAccessor(_target), _reference, tolerance_fp32); |
| } |
| TEST_SUITE_END() |
| TEST_SUITE_END() |
| |
| TEST_SUITE_END() // ElementwiseMin |
| TEST_SUITE_END() // CL |
| } // namespace validation |
| } // namespace test |
| } // namespace arm_compute |