Compute Library
 22.11
CropResize.cpp File Reference
#include "arm_compute/core/Types.h"
#include "arm_compute/runtime/NEON/functions/NECropResize.h"
#include "arm_compute/runtime/Tensor.h"
#include "arm_compute/runtime/TensorAllocator.h"
#include "tests/NEON/Accessor.h"
#include "tests/datasets/CropResizeDataset.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/CropResizeFixture.h"

Go to the source code of this file.

Namespaces

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

Typedefs

template<typename T >
using NECropResizeFixture = CropResizeFixture< Tensor, Accessor, NECropResize, T >
 

Functions

RelativeTolerance< float > tolerance_fp32 (0.001f)
 
 DATA_TEST_CASE (Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(framework::dataset::make("InputInfo", { TensorInfo(TensorShape(15U, 30U, 40U, 10U), 1, DataType::S32), TensorInfo(TensorShape(15U, 30U, 40U, 10U), 1, DataType::S32), TensorInfo(TensorShape(15U, 30U, 40U, 10U), 1, DataType::S32), TensorInfo(TensorShape(15U, 30U, 40U, 10U), 1, DataType::S32), TensorInfo(TensorShape(15U, 30U, 40U, 10U), 1, DataType::S32), TensorInfo(TensorShape(15U, 30U, 40U, 10U), 1, DataType::S32), }), framework::dataset::make("BoxesInfo",{ TensorInfo(TensorShape(4, 20), 1, DataType::F32), TensorInfo(TensorShape(4, 20), 1, DataType::F32), TensorInfo(TensorShape(4, 20), 1, DataType::F32), TensorInfo(TensorShape(4, 20), 1, DataType::F32), TensorInfo(TensorShape(4, 20), 1, DataType::F32), TensorInfo(TensorShape(3, 20), 1, DataType::F32), })), framework::dataset::make("BoxIndInfo",{ TensorInfo(TensorShape(20), 1, DataType::S32), TensorInfo(TensorShape(10), 1, DataType::S32), TensorInfo(TensorShape(20), 1, DataType::S32), TensorInfo(TensorShape(20), 1, DataType::S32), TensorInfo(TensorShape(20), 1, DataType::S32), TensorInfo(TensorShape(20), 1, DataType::S32), })), framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(15U, 5, 5, 20U), 1, DataType::F32), TensorInfo(TensorShape(15U, 5, 5, 20U), 1, DataType::F32), TensorInfo(TensorShape(15U, 5, 5, 10U), 1, DataType::F32), TensorInfo(TensorShape(15U, 5, 5, 20U), 1, DataType::S32), TensorInfo(TensorShape(5U, 5, 5, 20U), 1, DataType::F32), TensorInfo(TensorShape(15U, 5, 5, 20U), 1, DataType::F32), })), framework::dataset::make("Expected", { true, false, false, false, false, false})), input, boxes, box_ind, output, expected)
 
 FIXTURE_DATA_TEST_CASE (RunSmall, NECropResizeFixture< float >, framework::DatasetMode::ALL, combine(datasets::SmallCropResizeDataset(), combine(framework::dataset::make("IsOutOfBounds", { true, false }), framework::dataset::make("DataType", DataType::F32))))
 
 TEST_SUITE_END () FIXTURE_DATA_TEST_CASE(RunSmall = ActivationValidationQuantizedFixture<CLTensor, CLAccessor, CLActivationLayer, T>
 [CLActivationLayer Test snippet] More...
 
 combine (datasets::SmallCropResizeDataset(), combine(framework::dataset::make("IsOutOfBounds", { true, false }), framework::dataset::make("DataType", DataType::U8))))
 
 combine (datasets::SmallCropResizeDataset(), combine(framework::dataset::make("IsOutOfBounds", { true, false }), framework::dataset::make("DataType", DataType::U16))))
 
 combine (datasets::SmallCropResizeDataset(), combine(framework::dataset::make("IsOutOfBounds", { true, false }), framework::dataset::make("DataType", DataType::S16))))
 
 combine (datasets::SmallCropResizeDataset(), combine(framework::dataset::make("IsOutOfBounds", { true, false }), framework::dataset::make("DataType", DataType::U32))))
 
 combine (datasets::SmallCropResizeDataset(), combine(framework::dataset::make("IsOutOfBounds", { true, false }), framework::dataset::make("DataType", DataType::S32))))
 

Variables

 NECropResizeFixture< uint8_t >
 
 NECropResizeFixture< uint16_t >
 
 NECropResizeFixture< int16_t >
 
 NECropResizeFixture< uint32_t >
 
 NECropResizeFixture< int32_t >