Compute Library
 22.11
ArgMinMax.cpp File Reference
#include "arm_compute/core/Types.h"
#include "arm_compute/core/utils/misc/Traits.h"
#include "arm_compute/runtime/NEON/functions/NEArgMinMaxLayer.h"
#include "arm_compute/runtime/NEON/functions/NEReductionOperation.h"
#include "arm_compute/runtime/Tensor.h"
#include "arm_compute/runtime/TensorAllocator.h"
#include "arm_compute/core/utils/misc/ShapeCalculator.h"
#include "tests/NEON/Accessor.h"
#include "tests/datasets/ShapeDatasets.h"
#include "tests/datasets/SplitDataset.h"
#include "tests/framework/Asserts.h"
#include "tests/framework/Macros.h"
#include "tests/validation/Validation.h"
#include "tests/validation/fixtures/ArgMinMaxFixture.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 NEArgMinMaxValidationFixture = ArgMinMaxValidationFixture< Tensor, Accessor, NEArgMinMaxLayer, T >
 

Functions

 DATA_TEST_CASE (Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(framework::dataset::make("InputInfo", { TensorInfo(TensorShape(27U, 3U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 3U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 16U, 16U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 16U, 16U, 2U), 1, DataType::F32) }), framework::dataset::make("OutputInfo", { TensorInfo(TensorShape(27U, 3U, 1U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 3U, 1U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 16U, 2U), 1, DataType::S32), TensorInfo(TensorShape(32U, 16U, 1U, 2U), 1, DataType::F32) })), framework::dataset::make("Axis", { 4, 0, 2, 0 })), framework::dataset::make("Operation", { ReductionOperation::ARG_IDX_MAX, ReductionOperation::ARG_IDX_MAX, ReductionOperation::ARG_IDX_MAX, ReductionOperation::MEAN_SUM })), framework::dataset::make("Expected", { false, false, true, false })), input_info, output_info, axis, operation, expected)
 
 FIXTURE_DATA_TEST_CASE (RunSmall, NEArgMinMaxValidationFixture< int32_t >, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Small4DShapes(), framework::dataset::make("DataType", DataType::S32)), framework::dataset::make("Axis", { 0, 1, 2, 3 })), framework::dataset::make("Operation", { ReductionOperation::ARG_IDX_MIN, ReductionOperation::ARG_IDX_MAX })))
 
 FIXTURE_DATA_TEST_CASE (RunLarge, NEArgMinMaxValidationFixture< int32_t >, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::Large4DShapes(), framework::dataset::make("DataType", DataType::S32)), framework::dataset::make("Axis", { 0, 1, 2, 3 })), framework::dataset::make("Operation", { ReductionOperation::ARG_IDX_MIN, ReductionOperation::ARG_IDX_MAX })))
 
 TEST_SUITE_END () FIXTURE_DATA_TEST_CASE(RunSmall = ActivationValidationQuantizedFixture<CLTensor, CLAccessor, CLActivationLayer, T>
 [CLActivationLayer Test snippet] More...
 
 combine (combine(combine(datasets::Small4DShapes(), framework::dataset::make("DataType", DataType::F32)), framework::dataset::make("Axis", { 0, 1, 2, 3 })), framework::dataset::make("Operation", { ReductionOperation::ARG_IDX_MIN, ReductionOperation::ARG_IDX_MAX })))
 
 FIXTURE_DATA_TEST_CASE (RunLarge, NEArgMinMaxValidationFixture< float >, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::Large4DShapes(), framework::dataset::make("DataType", DataType::F32)), framework::dataset::make("Axis", { 0, 1, 2, 3 })), framework::dataset::make("Operation", { ReductionOperation::ARG_IDX_MIN, ReductionOperation::ARG_IDX_MAX })))
 
 FIXTURE_DATA_TEST_CASE (RunSmall, NEArgMinMaxQuantizedValidationFixture< uint8_t >, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::Small4DShapes(), framework::dataset::make("DataType", DataType::QASYMM8)), framework::dataset::make("Axis", { 0, 1, 2, 3 })), framework::dataset::make("Operation", { ReductionOperation::ARG_IDX_MIN, ReductionOperation::ARG_IDX_MAX })), framework::dataset::make("QuantizationInfo", { QuantizationInfo(5.f/255.f, 20) })))
 
 FIXTURE_DATA_TEST_CASE (RunLarge, NEArgMinMaxQuantizedValidationFixture< uint8_t >, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::Large4DShapes(), framework::dataset::make("DataType", DataType::QASYMM8)), framework::dataset::make("Axis", { 0, 1, 2, 3 })), framework::dataset::make("Operation", { ReductionOperation::ARG_IDX_MIN, ReductionOperation::ARG_IDX_MAX })), framework::dataset::make("QuantizationInfo", { QuantizationInfo(5.f/255.f, 20) })))
 
 combine (combine(combine(combine(datasets::Small4DShapes(), framework::dataset::make("DataType", DataType::QASYMM8_SIGNED)), framework::dataset::make("Axis", { 0, 1, 2, 3 })), framework::dataset::make("Operation", { ReductionOperation::ARG_IDX_MIN, ReductionOperation::ARG_IDX_MAX })), framework::dataset::make("QuantizationInfo", { QuantizationInfo(5.f/127.f, 20) })))
 
 FIXTURE_DATA_TEST_CASE (RunLarge, NEArgMinMaxQuantizedValidationFixture< int8_t >, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::Large4DShapes(), framework::dataset::make("DataType", DataType::QASYMM8_SIGNED)), framework::dataset::make("Axis", { 0, 1, 2, 3 })), framework::dataset::make("Operation", { ReductionOperation::ARG_IDX_MIN, ReductionOperation::ARG_IDX_MAX })), framework::dataset::make("QuantizationInfo", { QuantizationInfo(5.f/127.f, 20) })))
 

Variables

 NEArgMinMaxValidationFixture< float >
 
 NEArgMinMaxQuantizedValidationFixture< int8_t >