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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/NEBitwiseAnd.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 bitwise and function.
*
* @param[in] shape Shape of the input and output tensors.
*
* @return Computed output tensor.
*/
Tensor compute_bitwise_and(const TensorShape &shape)
{
// Create tensors
Tensor src1 = create_tensor(shape, DataType::U8);
Tensor src2 = create_tensor(shape, DataType::U8);
Tensor dst = create_tensor(shape, DataType::U8);
// Create and configure function
NEBitwiseAnd band;
band.configure(&src1, &src2, &dst);
// Allocate tensors
src1.allocator()->allocate();
src2.allocator()->allocate();
dst.allocator()->allocate();
BOOST_TEST(!src1.info()->is_resizable());
BOOST_TEST(!src2.info()->is_resizable());
BOOST_TEST(!dst.info()->is_resizable());
// Fill tensors
library->fill_tensor_uniform(NEAccessor(src1), 0);
library->fill_tensor_uniform(NEAccessor(src2), 1);
// Compute function
band.run();
return dst;
}
/** Compute Neon bitwise and function that splits the input and output in two subtensor.
*
* @param[in] shape Shape of the input and output tensors.
*
* @return Computed output tensor.
*/
Tensor compute_bitwise_and_subtensor(const TensorShape &shape)
{
// Create tensors
Tensor src1 = create_tensor(shape, DataType::U8);
Tensor src2 = create_tensor(shape, DataType::U8);
Tensor dst = create_tensor(shape, DataType::U8);
// Create SubTensors
int coord_z = shape.z() / 2;
TensorShape sub_shape = shape;
sub_shape.set(2, coord_z);
SubTensor src1_sub1(&src1, sub_shape, Coordinates());
SubTensor src1_sub2(&src1, sub_shape, Coordinates(0, 0, coord_z));
SubTensor src2_sub1(&src2, sub_shape, Coordinates());
SubTensor src2_sub2(&src2, sub_shape, Coordinates(0, 0, coord_z));
SubTensor dst_sub1(&dst, sub_shape, Coordinates());
SubTensor dst_sub2(&dst, sub_shape, Coordinates(0, 0, coord_z));
// Create and configure function
NEBitwiseAnd band1, band2;
band1.configure(&src1_sub1, &src2_sub1, &dst_sub1);
band2.configure(&src1_sub2, &src2_sub2, &dst_sub2);
// Allocate tensors
src1.allocator()->allocate();
src2.allocator()->allocate();
dst.allocator()->allocate();
BOOST_TEST(!src1.info()->is_resizable());
BOOST_TEST(!src2.info()->is_resizable());
BOOST_TEST(!dst.info()->is_resizable());
// Fill tensors
std::uniform_int_distribution<> distribution(0, 255);
library->fill(NEAccessor(src1), distribution, 0);
library->fill(NEAccessor(src2), distribution, 1);
// Compute function
band1.run();
band2.run();
return dst;
}
} // namespace
#ifndef DOXYGEN_SKIP_THIS
BOOST_AUTO_TEST_SUITE(NEON)
BOOST_AUTO_TEST_SUITE(BitwiseAnd)
BOOST_TEST_DECORATOR(*boost::unit_test::label("precommit") * boost::unit_test::label("nightly"))
BOOST_DATA_TEST_CASE(Configuration, SmallShapes() + LargeShapes(), shape)
{
// Create tensors
Tensor src1 = create_tensor(shape, DataType::U8);
Tensor src2 = create_tensor(shape, DataType::U8);
Tensor dst = create_tensor(shape, DataType::U8);
BOOST_TEST(src1.info()->is_resizable());
BOOST_TEST(src2.info()->is_resizable());
BOOST_TEST(dst.info()->is_resizable());
// Create and configure function
NEBitwiseAnd band;
band.configure(&src1, &src2, &dst);
// Validate valid region
const ValidRegion valid_region = shape_to_valid_region(shape);
validate(src1.info()->valid_region(), valid_region);
validate(src2.info()->valid_region(), valid_region);
validate(dst.info()->valid_region(), valid_region);
// Validate padding
const PaddingSize padding(0, required_padding(shape.x(), 16), 0, 0);
validate(src1.info()->padding(), padding);
validate(src2.info()->padding(), padding);
validate(dst.info()->padding(), padding);
}
BOOST_TEST_DECORATOR(*boost::unit_test::label("precommit"))
BOOST_DATA_TEST_CASE(RunSmall, SmallShapes(), shape)
{
// Compute function
Tensor dst = compute_bitwise_and(shape);
// Compute reference
RawTensor ref_dst = Reference::compute_reference_bitwise_and(shape);
// Validate output
validate(NEAccessor(dst), ref_dst);
}
BOOST_TEST_DECORATOR(*boost::unit_test::label("precommit"))
BOOST_AUTO_TEST_CASE(RunSubTensor)
{
// Create shape
TensorShape shape(27U, 35U, 8U, 2U);
// Compute function
Tensor dst = compute_bitwise_and_subtensor(shape);
// Compute reference
RawTensor ref_dst = Reference::compute_reference_bitwise_and(shape);
// Validate output
validate(NEAccessor(dst), ref_dst);
}
BOOST_TEST_DECORATOR(*boost::unit_test::label("nightly"))
BOOST_DATA_TEST_CASE(RunLarge, LargeShapes(), shape)
{
// Compute function
Tensor dst = compute_bitwise_and(shape);
// Compute reference
RawTensor ref_dst = Reference::compute_reference_bitwise_and(shape);
// Validate output
validate(NEAccessor(dst), ref_dst);
}
BOOST_AUTO_TEST_SUITE_END()
BOOST_AUTO_TEST_SUITE_END()
#endif
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