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/*
* Copyright (c) 2017-2019 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/core/Types.h"
#include "arm_compute/runtime/NEON/functions/NEAccumulate.h"
#include "arm_compute/runtime/Tensor.h"
#include "arm_compute/runtime/TensorAllocator.h"
#include "tests/NEON/Accessor.h"
#include "tests/PaddingCalculator.h"
#include "tests/datasets/ConvertPolicyDataset.h"
#include "tests/datasets/ShapeDatasets.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/AccumulateFixture.h"
namespace arm_compute
{
namespace test
{
namespace validation
{
namespace
{
/** Tolerance value for comparing reference's output against implementation's output for floating point data types */
constexpr AbsoluteTolerance<float> tolerance(1.0f);
/** Input data sets **/
const auto AccumulateU8Dataset = combine(framework::dataset::make("DataType", DataType::U8), framework::dataset::make("DataType", DataType::U8));
const auto AccumulateS16Dataset = combine(framework::dataset::make("DataType", DataType::U8), framework::dataset::make("DataType", DataType::S16));
} // namespace
TEST_SUITE(NEON)
TEST_SUITE(Accumulate)
TEST_SUITE(U8)
DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), AccumulateS16Dataset),
shape, data_type, output_data_type)
{
// Create tensors
Tensor ref_src = create_tensor<Tensor>(shape, data_type);
Tensor dst = create_tensor<Tensor>(shape, output_data_type);
// Create and Configure function
NEAccumulate accum;
accum.configure(&ref_src, &dst);
// Validate valid region
const ValidRegion valid_region = shape_to_valid_region(shape);
validate(dst.info()->valid_region(), valid_region);
// Validate padding
const PaddingSize padding = PaddingCalculator(shape.x(), 16).required_padding();
validate(ref_src.info()->padding(), padding);
validate(dst.info()->padding(), padding);
}
template <typename T1>
using NEAccumulateFixture = AccumulateValidationFixture<Tensor, Accessor, NEAccumulate, T1, int16_t>;
FIXTURE_DATA_TEST_CASE(RunSmall, NEAccumulateFixture<uint8_t>, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), AccumulateS16Dataset))
{
// Validate output
validate(Accessor(_target), _reference, tolerance);
}
FIXTURE_DATA_TEST_CASE(RunLarge, NEAccumulateFixture<uint8_t>, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), AccumulateS16Dataset))
{
// Validate output
validate(Accessor(_target), _reference, tolerance);
}
TEST_SUITE_END() // U8
TEST_SUITE_END() // Accumulate
TEST_SUITE(AccumulateWeighted)
TEST_SUITE(U8)
DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), AccumulateU8Dataset),
shape, data_type, output_data_type)
{
// Generate a random alpha value
std::mt19937 gen(library->seed());
std::uniform_real_distribution<> float_dist(0, 1);
const float alpha = float_dist(gen);
// Create tensors
Tensor ref_src = create_tensor<Tensor>(shape, data_type);
Tensor dst = create_tensor<Tensor>(shape, output_data_type);
// Create and Configure function
NEAccumulateWeighted accum_weight;
accum_weight.configure(&ref_src, alpha, &dst);
// Validate valid region
const ValidRegion valid_region = shape_to_valid_region(shape);
validate(dst.info()->valid_region(), valid_region);
// Validate padding
const PaddingSize padding = PaddingCalculator(shape.x(), 16).required_padding();
validate(ref_src.info()->padding(), padding);
validate(dst.info()->padding(), padding);
}
template <typename T1>
using NEAccumulateWeightedFixture = AccumulateWeightedValidationFixture<Tensor, Accessor, NEAccumulateWeighted, T1, uint8_t>;
FIXTURE_DATA_TEST_CASE(RunSmall, NEAccumulateWeightedFixture<uint8_t>, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), AccumulateU8Dataset))
{
// Validate output
validate(Accessor(_target), _reference, tolerance);
}
FIXTURE_DATA_TEST_CASE(RunLarge, NEAccumulateWeightedFixture<uint8_t>, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), AccumulateU8Dataset))
{
// Validate output
validate(Accessor(_target), _reference, tolerance);
}
TEST_SUITE_END() // U8
TEST_SUITE_END() // AccumulateWeighted
TEST_SUITE(AccumulateSquared)
TEST_SUITE(U8)
DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), AccumulateS16Dataset),
shape, data_type, output_data_type)
{
// Generate a random shift value
std::mt19937 gen(library->seed());
std::uniform_int_distribution<uint32_t> int_dist(0, 15);
const uint32_t shift = int_dist(gen);
// Create tensors
Tensor ref_src = create_tensor<Tensor>(shape, data_type);
Tensor dst = create_tensor<Tensor>(shape, output_data_type);
// Create and Configure function
NEAccumulateSquared accum_square;
accum_square.configure(&ref_src, shift, &dst);
// Validate valid region
const ValidRegion valid_region = shape_to_valid_region(shape);
validate(dst.info()->valid_region(), valid_region);
// Validate padding
const PaddingSize padding = PaddingCalculator(shape.x(), 16).required_padding();
validate(ref_src.info()->padding(), padding);
validate(dst.info()->padding(), padding);
}
template <typename T1>
using NEAccumulateSquaredFixture = AccumulateSquaredValidationFixture<Tensor, Accessor, NEAccumulateSquared, T1, int16_t>;
FIXTURE_DATA_TEST_CASE(RunSmall, NEAccumulateSquaredFixture<uint8_t>, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), AccumulateS16Dataset))
{
// Validate output
validate(Accessor(_target), _reference, tolerance);
}
FIXTURE_DATA_TEST_CASE(RunLarge, NEAccumulateSquaredFixture<uint8_t>, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), AccumulateS16Dataset))
{
// Validate output
validate(Accessor(_target), _reference, tolerance);
}
TEST_SUITE_END() // U8
TEST_SUITE_END() // AccumulateSquared
TEST_SUITE_END() // NEON
} // namespace validation
} // namespace test
} // namespace arm_compute
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