163 lines
8.5 KiB
C++
163 lines
8.5 KiB
C++
/*
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* Copyright (c) 2019-2020 Arm Limited.
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*
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* SPDX-License-Identifier: MIT
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*
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* Permission is hereby granted, free of charge, to any person obtaining a copy
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* of this software and associated documentation files (the "Software"), to
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* deal in the Software without restriction, including without limitation the
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* rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
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* sell copies of the Software, and to permit persons to whom the Software is
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* furnished to do so, subject to the following conditions:
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*
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* The above copyright notice and this permission notice shall be included in all
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* copies or substantial portions of the Software.
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*
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* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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* SOFTWARE.
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*/
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#include "arm_compute/core/Types.h"
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#include "arm_compute/runtime/CL/CLTensor.h"
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#include "arm_compute/runtime/CL/CLTensorAllocator.h"
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#include "arm_compute/runtime/CL/functions/CLElementwiseOperations.h"
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#include "tests/CL/CLAccessor.h"
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#include "tests/PaddingCalculator.h"
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#include "tests/datasets/ShapeDatasets.h"
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#include "tests/framework/Asserts.h"
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#include "tests/framework/Macros.h"
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#include "tests/framework/datasets/Datasets.h"
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#include "tests/validation/Validation.h"
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#include "tests/validation/fixtures/ElementwiseOperationsFixture.h"
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namespace arm_compute
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{
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namespace test
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{
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namespace validation
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{
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namespace
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{
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RelativeTolerance<float> tolerance_fp32(0.000001f);
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RelativeTolerance<float> tolerance_fp16(0.001f);
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/** Input data sets **/
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const auto ElementwisePowerFP16Dataset = combine(combine(framework::dataset::make("DataType", DataType::F16), framework::dataset::make("DataType", DataType::F16)),
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framework::dataset::make("DataType", DataType::F16));
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const auto ElementwisePowerFP32Dataset = combine(combine(framework::dataset::make("DataType", DataType::F32), framework::dataset::make("DataType", DataType::F32)),
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framework::dataset::make("DataType", DataType::F32));
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const auto EmptyActivationFunctionsDataset = framework::dataset::make("ActivationInfo",
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{ ActivationLayerInfo() });
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const auto ActivationFunctionsDataset = framework::dataset::make("ActivationInfo",
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{
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ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::BOUNDED_RELU, 0.75f, 0.25f),
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ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LOGISTIC, 0.75f, 0.25f)
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});
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} // namespace
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TEST_SUITE(CL)
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TEST_SUITE(ElementwisePower)
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// *INDENT-OFF*
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// clang-format off
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DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(
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framework::dataset::make("Input1Info", { TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32),
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TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F16),
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TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), // Invalid data type combination
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TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), // Mismatching shapes
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}),
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framework::dataset::make("Input2Info",{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32),
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TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F16),
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TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S16),
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TensorInfo(TensorShape(48U, 11U, 2U), 1, DataType::F32),
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})),
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framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32),
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TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F16),
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TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8),
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TensorInfo(TensorShape(48U, 11U, 2U), 1, DataType::F32),
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})),
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framework::dataset::make("Expected", { true, true, false, false})),
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input1_info, input2_info, output_info, expected)
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{
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ARM_COMPUTE_EXPECT(bool(CLElementwisePower::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);
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}
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// clang-format on
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// *INDENT-ON*
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template <typename T>
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using CLElementwisePowerFloatFixture = ElementwisePowerValidationFloatFixture<CLTensor, CLAccessor, CLElementwisePower, T>;
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template <typename T>
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using CLElementwisePowerBroadcastFloatFixture = ElementwisePowerBroadcastValidationFloatFixture<CLTensor, CLAccessor, CLElementwisePower, T>;
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TEST_SUITE(Float)
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TEST_SUITE(FP16)
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FIXTURE_DATA_TEST_CASE(RunSmall, CLElementwisePowerFloatFixture<half>, framework::DatasetMode::ALL, combine(combine(datasets::SmallShapes(), ElementwisePowerFP16Dataset),
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EmptyActivationFunctionsDataset))
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{
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// Validate output
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validate(CLAccessor(_target), _reference, tolerance_fp16, 0.01);
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}
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FIXTURE_DATA_TEST_CASE(RunWithActivation, CLElementwisePowerFloatFixture<half>, framework::DatasetMode::ALL, combine(combine(datasets::TinyShapes(), ElementwisePowerFP16Dataset),
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ActivationFunctionsDataset))
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{
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// Validate output
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validate(CLAccessor(_target), _reference, tolerance_fp16, 0.01);
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}
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FIXTURE_DATA_TEST_CASE(RunSmallBroadcast, CLElementwisePowerBroadcastFloatFixture<half>, framework::DatasetMode::ALL, combine(combine(datasets::SmallShapesBroadcast(),
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ElementwisePowerFP16Dataset),
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EmptyActivationFunctionsDataset))
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{
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// Validate output
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validate(CLAccessor(_target), _reference, tolerance_fp16, 0.01);
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}
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FIXTURE_DATA_TEST_CASE(RunWithActivationBroadcast, CLElementwisePowerBroadcastFloatFixture<half>, framework::DatasetMode::ALL, combine(combine(datasets::TinyShapesBroadcast(),
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ElementwisePowerFP16Dataset),
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ActivationFunctionsDataset))
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{
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// Validate output
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validate(CLAccessor(_target), _reference, tolerance_fp16, 0.01);
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}
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TEST_SUITE_END() //FP16
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TEST_SUITE(FP32)
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FIXTURE_DATA_TEST_CASE(RunSmall, CLElementwisePowerFloatFixture<float>, framework::DatasetMode::ALL, combine(combine(datasets::SmallShapes(), ElementwisePowerFP32Dataset),
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EmptyActivationFunctionsDataset))
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{
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// Validate output
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validate(CLAccessor(_target), _reference, tolerance_fp32);
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}
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FIXTURE_DATA_TEST_CASE(RunWithActivation, CLElementwisePowerFloatFixture<float>, framework::DatasetMode::ALL, combine(combine(datasets::TinyShapes(), ElementwisePowerFP32Dataset),
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ActivationFunctionsDataset))
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{
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// Validate output
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validate(CLAccessor(_target), _reference, tolerance_fp32);
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}
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FIXTURE_DATA_TEST_CASE(RunSmallBroadcast, CLElementwisePowerBroadcastFloatFixture<float>, framework::DatasetMode::ALL, combine(combine(datasets::SmallShapesBroadcast(),
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ElementwisePowerFP32Dataset),
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EmptyActivationFunctionsDataset))
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{
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// Validate output
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validate(CLAccessor(_target), _reference, tolerance_fp32);
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}
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FIXTURE_DATA_TEST_CASE(RunWithActivationBroadcast, CLElementwisePowerBroadcastFloatFixture<float>, framework::DatasetMode::ALL, combine(combine(datasets::TinyShapesBroadcast(),
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ElementwisePowerFP32Dataset),
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ActivationFunctionsDataset))
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{
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// Validate output
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validate(CLAccessor(_target), _reference, tolerance_fp32);
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}
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TEST_SUITE_END() // FP32
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TEST_SUITE_END() // Float
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TEST_SUITE_END() // ElementwisePower
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TEST_SUITE_END() // CL
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} // namespace validation
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} // namespace test
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} // namespace arm_compute
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