Compute Library
 22.11
ActivationLayer.cpp File Reference
#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/CLActivationLayer.h"
#include "arm_compute/runtime/RuntimeContext.h"
#include "tests/CL/CLAccessor.h"
#include "tests/PaddingCalculator.h"
#include "tests/datasets/ActivationFunctionsDataset.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/ActivationLayerFixture.h"

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Namespaces

 arm_compute
 Copyright (c) 2017-2022 Arm Limited.
 
 arm_compute::test
 
 arm_compute::test::validation
 

Typedefs

template<typename T >
using CLActivationLayerFixture = ActivationValidationFixture< CLTensor, CLAccessor, CLActivationLayer, T >
 [CLActivationLayerFixture snippet] More...
 

Functions

 DATA_TEST_CASE (Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make("InputInfo", { TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QASYMM8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::QASYMM8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QSYMM16), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QSYMM16), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QSYMM16), }), framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F16), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QASYMM8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::QASYMM8), TensorInfo(TensorShape(30U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QSYMM16, QuantizationInfo(1.f/32768.f, 0)), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QSYMM16, QuantizationInfo(1.f/32768.f, 0)), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QSYMM16, QuantizationInfo(1.f/32768.f, 0)), })), framework::dataset::make("ActivationInfo", { ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::TANH), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::TANH), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LOGISTIC), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::SQRT), })), framework::dataset::make("Expected", { false, true, true, true, false, false, true, true, false })), input_info, output_info, act_info, expected)
 
 FIXTURE_DATA_TEST_CASE (RunSmall, CLActivationLayerFixture< half >, framework::DatasetMode::ALL, combine(combine(datasets::SmallShapes(), ActivationDataset), framework::dataset::make("DataType", DataType::F16)))
 [CLActivationLayerFixture snippet] More...
 
 TEST_SUITE_END () FIXTURE_DATA_TEST_CASE(RunSmall = ActivationValidationQuantizedFixture<CLTensor, CLAccessor, CLActivationLayer, T>
 [CLActivationLayer Test snippet] More...
 
 combine (combine(datasets::SmallShapes(), ActivationDataset), framework::dataset::make("DataType", DataType::F32)))
 
 FIXTURE_DATA_TEST_CASE (RunSmall, CLActivationLayerQuantizedFixture< uint8_t >, framework::DatasetMode::ALL, combine(combine(combine(datasets::SmallShapes(), QuantizedActivationDataset8), framework::dataset::make("DataType", DataType::QASYMM8)), framework::dataset::make("QuantizationInfo", { QuantizationInfo(0.1f, 128.0f) })))
 
 combine (combine(combine(datasets::SmallShapes(), QuantizedActivationDataset8), framework::dataset::make("DataType", DataType::QASYMM8_SIGNED)), framework::dataset::make("QuantizationInfo", { QuantizationInfo(0.1f, 10.0f) })))
 
 combine (combine(combine(datasets::SmallShapes(), QuantizedActivationDataset16), framework::dataset::make("DataType", DataType::QSYMM16)), framework::dataset::make("QuantizationInfo", { QuantizationInfo(1.f/32768.f, 0) })))
 

Variables

 CLActivationLayerFixture< float >
 
const auto QuantizedActivationDataset8
 
const auto QuantizedActivationDataset16
 
 CLActivationLayerQuantizedFixture< int8_t >
 
 CLActivationLayerQuantizedFixture< int16_t >