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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 "NEON/Accessor.h"
#include "PaddingCalculator.h"
#include "Utils.h"
#include "tests/AssetsLibrary.h"
#include "tests/Globals.h"
#include "tests/validation_old/Datasets.h"
#include "tests/validation_old/Helpers.h"
#include "tests/validation_old/Reference.h"
#include "tests/validation_old/Validation.h"
#include "tests/validation_old/ValidationUserConfiguration.h"
#include "utils/TypePrinter.h"
#include "arm_compute/core/Helpers.h"
#include "arm_compute/core/Types.h"
#include "arm_compute/runtime/NEON/functions/NEWarpPerspective.h"
#include "arm_compute/runtime/Tensor.h"
#include "arm_compute/runtime/TensorAllocator.h"
#include "tests/validation_old/boost_wrapper.h"
#include <random>
#include <string>
using namespace arm_compute;
using namespace arm_compute::test;
using namespace arm_compute::test::validation;
namespace
{
/** Compute Warp Perspective function.
*
* @param[in] input Shape of the input and output tensors.
* @param[in] matrix The perspective matrix. Must be 3x3 of type float.
* @param[in] policy The interpolation type.
* @param[in] border_mode Strategy to use for borders.
* @param[in] constant_border_value Constant value to use for borders if border_mode is set to CONSTANT.
*
* @return Computed output tensor.
*/
Tensor compute_warp_perspective(const TensorShape &shape, const float *matrix, InterpolationPolicy policy,
BorderMode border_mode, uint8_t constant_border_value)
{
// Create tensors
Tensor src = create_tensor<Tensor>(shape, DataType::U8);
Tensor dst = create_tensor<Tensor>(shape, DataType::U8);
// Create and configure function
NEWarpPerspective warp_perspective;
warp_perspective.configure(&src, &dst, matrix, policy, border_mode, constant_border_value);
// 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(Accessor(src), 0);
// Compute function
warp_perspective.run();
return dst;
}
} // namespace
#ifndef DOXYGEN_SKIP_THIS
BOOST_AUTO_TEST_SUITE(NEON)
BOOST_AUTO_TEST_SUITE(WarpPerspective)
BOOST_TEST_DECORATOR(*boost::unit_test::label("precommit") * boost::unit_test::label("nightly"))
BOOST_DATA_TEST_CASE(Configuration, (SmallShapes() + LargeShapes())
* boost::unit_test::data::make({ InterpolationPolicy::BILINEAR, InterpolationPolicy::NEAREST_NEIGHBOR }) * BorderModes(),
shape, policy, border_mode)
{
uint8_t constant_border_value = 0;
// Generate a random constant value if border_mode is constant
if(border_mode == BorderMode::CONSTANT)
{
std::mt19937 gen(user_config.seed.get());
std::uniform_int_distribution<uint8_t> distribution_u8(0, 255);
constant_border_value = distribution_u8(gen);
}
// Create the matrix
std::array<float, 9> matrix;
fill_warp_matrix<9>(matrix, 3, 3);
// Create tensors
Tensor src = create_tensor<Tensor>(shape, DataType::U8);
Tensor dst = create_tensor<Tensor>(shape, DataType::U8);
BOOST_TEST(src.info()->is_resizable());
BOOST_TEST(dst.info()->is_resizable());
// Create and configure function
NEWarpPerspective warp_perspective;
warp_perspective.configure(&src, &dst, matrix.data(), policy, border_mode, constant_border_value);
// Validate valid region
const ValidRegion valid_region = shape_to_valid_region(shape);
validate(src.info()->valid_region(), valid_region);
validate(dst.info()->valid_region(), valid_region);
// Validate padding
PaddingCalculator calculator(shape.x(), 1);
calculator.set_border_mode(border_mode);
calculator.set_border_size(1);
const PaddingSize read_padding(1);
const PaddingSize write_padding = calculator.required_padding();
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()
* boost::unit_test::data::make({ InterpolationPolicy::BILINEAR, InterpolationPolicy::NEAREST_NEIGHBOR })
* BorderModes(),
shape, policy, border_mode)
{
uint8_t constant_border_value = 0;
// Generate a random constant value if border_mode is constant
if(border_mode == BorderMode::CONSTANT)
{
std::mt19937 gen(user_config.seed.get());
std::uniform_int_distribution<uint8_t> distribution_u8(0, 255);
constant_border_value = distribution_u8(gen);
}
// Create the valid mask Tensor
RawTensor valid_mask(shape, DataType::U8);
// Create the matrix
std::array<float, 9> matrix;
fill_warp_matrix<9>(matrix, 3, 3);
// Compute function
Tensor dst = compute_warp_perspective(shape, matrix.data(), policy, border_mode, constant_border_value);
// Compute reference
RawTensor ref_dst = Reference::compute_reference_warp_perspective(shape, valid_mask, matrix.data(), policy, border_mode, constant_border_value);
// Validate output
validate(Accessor(dst), ref_dst, valid_mask, 1, 0.2f);
}
BOOST_TEST_DECORATOR(*boost::unit_test::label("nightly"))
BOOST_DATA_TEST_CASE(RunLarge, LargeShapes()
* boost::unit_test::data::make({ InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR }) * BorderModes(),
shape, policy, border_mode)
{
uint8_t constant_border_value = 0;
// Generate a random constant value if border_mode is constant
if(border_mode == BorderMode::CONSTANT)
{
std::mt19937 gen(user_config.seed.get());
std::uniform_int_distribution<uint8_t> distribution_u8(0, 255);
constant_border_value = distribution_u8(gen);
}
// Create the valid mask Tensor
RawTensor valid_mask(shape, DataType::U8);
// Create the matrix
std::array<float, 9> matrix;
fill_warp_matrix<9>(matrix, 3, 3);
// Compute function
Tensor dst = compute_warp_perspective(shape, matrix.data(), policy, border_mode, constant_border_value);
// Compute reference
RawTensor ref_dst = Reference::compute_reference_warp_perspective(shape, valid_mask, matrix.data(), policy, border_mode, constant_border_value);
// Validate output
validate(Accessor(dst), ref_dst, valid_mask, 1, 0.2f);
}
BOOST_AUTO_TEST_SUITE_END()
BOOST_AUTO_TEST_SUITE_END()
#endif /* DOXYGEN_SKIP_THIS */
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