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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/runtime/CL/functions/CLMinMaxLocation.h"
#include "tests/CL/CLAccessor.h"
#include "tests/CL/CLArrayAccessor.h"
#include "tests/PaddingCalculator.h"
#include "tests/datasets/ShapeDatasets.h"
#include "tests/framework/Macros.h"
#include "tests/validation/Validation.h"
#include "tests/validation/fixtures/MinMaxLocationFixture.h"
namespace arm_compute
{
namespace test
{
namespace validation
{
TEST_SUITE(CL)
TEST_SUITE(MinMaxLocation)
template <typename T>
using CLMinMaxLocationFixture = MinMaxLocationValidationFixture<CLTensor, CLAccessor, CLArray<Coordinates2D>, CLArrayAccessor<Coordinates2D>, CLMinMaxLocation, T>;
void validate_configuration(const CLTensor &src, TensorShape shape)
{
ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS);
// Create output storage
int32_t min = 0;
int32_t max = 0;
CLCoordinates2DArray min_loc(shape.total_size());
CLCoordinates2DArray max_loc(shape.total_size());
// Create and configure function
CLMinMaxLocation min_max_loc;
min_max_loc.configure(&src, &min, &max, &min_loc, &max_loc);
// Validate padding
const PaddingSize padding = PaddingCalculator(shape.x(), 16).required_padding();
validate(src.info()->padding(), padding);
}
TEST_SUITE(U8)
DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::Small2DShapes(), framework::dataset::make("DataType", DataType::U8)), shape, data_type)
{
// Create tensors
CLTensor src = create_tensor<CLTensor>(shape, data_type);
src.info()->set_format(Format::U8);
validate_configuration(src, shape);
}
FIXTURE_DATA_TEST_CASE(RunSmall, CLMinMaxLocationFixture<uint8_t>, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), framework::dataset::make("DataType",
DataType::U8)))
{
validate_min_max_loc(_target, _reference);
}
FIXTURE_DATA_TEST_CASE(RunLarge, CLMinMaxLocationFixture<uint8_t>, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), framework::dataset::make("DataType",
DataType::U8)))
{
validate_min_max_loc(_target, _reference);
}
TEST_SUITE_END() // U8
TEST_SUITE(S16)
DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::Small2DShapes(), framework::dataset::make("DataType", DataType::S16)), shape, data_type)
{
// Create tensors
CLTensor src = create_tensor<CLTensor>(shape, data_type);
src.info()->set_format(Format::S16);
validate_configuration(src, shape);
}
FIXTURE_DATA_TEST_CASE(RunSmall, CLMinMaxLocationFixture<int16_t>, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), framework::dataset::make("DataType",
DataType::S16)))
{
validate_min_max_loc(_target, _reference);
}
FIXTURE_DATA_TEST_CASE(RunLarge, CLMinMaxLocationFixture<int16_t>, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), framework::dataset::make("DataType",
DataType::S16)))
{
validate_min_max_loc(_target, _reference);
}
TEST_SUITE_END() // S16
TEST_SUITE(Float)
DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::Small2DShapes(), framework::dataset::make("DataType", DataType::F32)), shape, data_type)
{
// Create tensors
CLTensor src = create_tensor<CLTensor>(shape, data_type);
src.info()->set_format(Format::F32);
validate_configuration(src, shape);
}
FIXTURE_DATA_TEST_CASE(RunSmall, CLMinMaxLocationFixture<float>, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), framework::dataset::make("DataType",
DataType::F32)))
{
validate_min_max_loc(_target, _reference);
}
FIXTURE_DATA_TEST_CASE(RunLarge, CLMinMaxLocationFixture<float>, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), framework::dataset::make("DataType",
DataType::F32)))
{
validate_min_max_loc(_target, _reference);
}
TEST_SUITE_END() // F32
TEST_SUITE_END() // MinMaxLocation
TEST_SUITE_END() // CL
} // namespace validation
} // namespace test
} // namespace arm_compute
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