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/*
* Copyright (c) 2017 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/runtime/NEON/functions/NEMeanStdDev.h"
#include "tests/NEON/Accessor.h"
#include "tests/PaddingCalculator.h"
#include "tests/datasets/ShapeDatasets.h"
#include "tests/framework/Macros.h"
#include "tests/validation/Validation.h"
#include "tests/validation/fixtures/MeanStdDevFixture.h"
namespace arm_compute
{
namespace test
{
namespace validation
{
namespace
{
RelativeTolerance<float> tolerance_rel_high_error(0.05f);
RelativeTolerance<float> tolerance_rel_low_error(0.0005f);
} // namespace
TEST_SUITE(NEON)
TEST_SUITE(MeanStdDev)
DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(concat(datasets::Small2DShapes(), datasets::Large2DShapes()), framework::dataset::make("DataType", DataType::U8)), shape, data_type)
{
// Create tensors
Tensor src = create_tensor<Tensor>(shape, data_type);
// Create output variables
float mean = 0.f;
float std_dev = 0.f;
ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS);
// Create configure function
NEMeanStdDev mean_std_dev_image;
mean_std_dev_image.configure(&src, &mean, &std_dev);
// Validate padding
const PaddingSize padding = PaddingCalculator(shape.x(), 16).required_padding();
validate(src.info()->padding(), padding);
}
template <typename T>
using NEMeanStdDevFixture = MeanStdDevValidationFixture<Tensor, Accessor, NEMeanStdDev, T>;
FIXTURE_DATA_TEST_CASE(RunSmall, NEMeanStdDevFixture<uint8_t>, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), framework::dataset::make("DataType",
DataType::U8)))
{
// Validate mean output
validate(_target.first, _reference.first);
// Validate std_dev output
validate(_target.second, _reference.second, tolerance_rel_high_error);
}
FIXTURE_DATA_TEST_CASE(RunLarge, NEMeanStdDevFixture<uint8_t>, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), framework::dataset::make("DataType",
DataType::U8)))
{
// Validate mean output
validate(_target.first, _reference.first, tolerance_rel_low_error);
// Validate std_dev output
validate(_target.second, _reference.second, tolerance_rel_high_error);
}
TEST_SUITE_END()
TEST_SUITE_END()
} // namespace validation
} // namespace test
} // namespace arm_compute