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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 "Globals.h"
#include "NEON/Helper.h"
#include "NEON/NEAccessor.h"
#include "TensorLibrary.h"
#include "TypePrinter.h"
#include "Utils.h"
#include "validation/Datasets.h"
#include "validation/Reference.h"
#include "validation/Validation.h"
#include "arm_compute/core/Helpers.h"
#include "arm_compute/core/Types.h"
#include "arm_compute/runtime/NEON/functions/NEBox3x3.h"
#include "arm_compute/runtime/SubTensor.h"
#include "arm_compute/runtime/Tensor.h"
#include "arm_compute/runtime/TensorAllocator.h"
#include "boost_wrapper.h"
#include <random>
#include <string>
using namespace arm_compute;
using namespace arm_compute::test;
using namespace arm_compute::test::neon;
using namespace arm_compute::test::validation;
namespace
{
/** Compute Neon 3-by-3 box filter.
*
* @param[in] shape Shape of the input and output tensors.
*
* @return Computed output tensor.
*/
Tensor compute_box3x3(const TensorShape &shape)
{
// Create tensors
Tensor src = create_tensor(shape, DataType::U8);
Tensor dst = create_tensor(shape, DataType::U8);
// Create and configure function
NEBox3x3 band;
band.configure(&src, &dst, BorderMode::UNDEFINED);
// Allocate tensors
src.allocator()->allocate();
dst.allocator()->allocate();
BOOST_TEST(!src.info()->is_resizable());
BOOST_TEST(!dst.info()->is_resizable());
// Fill tensors
library->fill_tensor_uniform(NEAccessor(src), 0);
// Compute function
band.run();
return dst;
}
} // namespace
#ifndef DOXYGEN_SKIP_THIS
BOOST_AUTO_TEST_SUITE(NEON)
BOOST_AUTO_TEST_SUITE(Box3x3)
BOOST_TEST_DECORATOR(*boost::unit_test::label("precommit") * boost::unit_test::label("nightly"))
BOOST_DATA_TEST_CASE(Configuration, SmallShapes() + LargeShapes(), shape)
{
// Create tensors
Tensor src = create_tensor(shape, DataType::U8);
Tensor dst = create_tensor(shape, DataType::U8);
BOOST_TEST(src.info()->is_resizable());
BOOST_TEST(dst.info()->is_resizable());
// Create and configure function
NEBox3x3 band;
band.configure(&src, &dst, BorderMode::UNDEFINED);
// Validate valid region
const ValidRegion src_valid_region = shape_to_valid_region(shape);
const ValidRegion dst_valid_region = shape_to_valid_region_undefined_border(shape, BorderSize(1));
validate(src.info()->valid_region(), src_valid_region);
validate(dst.info()->valid_region(), dst_valid_region);
// Validate padding
const PaddingSize read_padding(0, required_padding_undefined_border_read(shape.x(), 16, 8), 0, 0);
const PaddingSize write_padding(0, required_padding_undefined_border_write(shape.x(), 8, 1), 0, 0);
validate(src.info()->padding(), read_padding);
validate(dst.info()->padding(), write_padding);
}
BOOST_TEST_DECORATOR(*boost::unit_test::label("precommit"))
BOOST_DATA_TEST_CASE(RunSmall, SmallShapes(), shape)
{
// Compute function
Tensor dst = compute_box3x3(shape);
// Compute reference
RawTensor ref_dst = Reference::compute_reference_box3x3(shape);
// Validate output
validate(NEAccessor(dst), ref_dst, shape_to_valid_region_undefined_border(shape, BorderSize(1)));
}
BOOST_TEST_DECORATOR(*boost::unit_test::label("nightly"))
BOOST_DATA_TEST_CASE(RunLarge, LargeShapes(), shape)
{
// Compute function
Tensor dst = compute_box3x3(shape);
// Compute reference
RawTensor ref_dst = Reference::compute_reference_box3x3(shape);
// Validate output
validate(NEAccessor(dst), ref_dst, shape_to_valid_region_undefined_border(shape, BorderSize(1)));
}
BOOST_AUTO_TEST_SUITE_END()
BOOST_AUTO_TEST_SUITE_END()
#endif