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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/CLMeanStdDev.h"
#include "tests/CL/CLAccessor.h"
#include "tests/PaddingCalculator.h"
#include "tests/datasets/ShapeDatasets.h"
#include "tests/framework/Macros.h"
#include "tests/validation/Validation.h"
#include "tests/validation/fixtures/MeanStdDevFixture.h"
namespace arm_compute
{
namespace test
{
namespace validation
{
namespace
{
RelativeTolerance<float> tolerance_rel_high_error(0.05f);
RelativeTolerance<float> tolerance_rel_low_error(0.0005f);
AbsoluteTolerance<float> tolerance_rel_high_error_f32(0.01f);
AbsoluteTolerance<float> tolerance_rel_low_error_f32(0.00001f);
AbsoluteTolerance<float> tolerance_rel_high_error_f16(0.1f);
AbsoluteTolerance<float> tolerance_rel_low_error_f16(0.01f);
} // namespace
TEST_SUITE(CL)
TEST_SUITE(MeanStdDev)
// *INDENT-OFF*
// clang-format off
DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(
framework::dataset::make("InputInfo", { TensorInfo(TensorShape(16U, 16U), 1, DataType::F32), // Wrong input data type
TensorInfo(TensorShape(16U, 5U, 16U), 1, DataType::U8), // Invalid shape
TensorInfo(TensorShape(16U, 16U), 1, DataType::U8), // Valid
}),
framework::dataset::make("Expected", { false, false, true })),
input_info, expected)
{
ARM_COMPUTE_EXPECT(bool(CLMeanStdDev::validate(&input_info.clone()->set_is_resizable(false), nullptr, nullptr)) == expected, framework::LogLevel::ERRORS);
}
// clang-format on
// *INDENT-ON*
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);
// Create output variables
float mean = 0.f;
float std_dev = 0.f;
ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS);
// Create configure function
CLMeanStdDev mean_std_dev_image;
mean_std_dev_image.configure(&src, &mean, &std_dev);
// Validate valid region
const ValidRegion valid_region = shape_to_valid_region(shape);
validate(src.info()->valid_region(), valid_region);
// Validate padding
const PaddingSize padding = PaddingCalculator(shape.x(), 8).required_padding();
validate(src.info()->padding(), padding);
}
template <typename T>
using CLMeanStdDevFixture = MeanStdDevValidationFixture<CLTensor, CLAccessor, CLMeanStdDev, T>;
TEST_SUITE(U8)
FIXTURE_DATA_TEST_CASE(RunSmall, CLMeanStdDevFixture<uint8_t>, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), framework::dataset::make("DataType",
DataType::U8)))
{
// Validate mean output
validate(_target.first, _reference.first);
// Validate std_dev output
validate(_target.second, _reference.second, tolerance_rel_high_error);
}
FIXTURE_DATA_TEST_CASE(RunLarge, CLMeanStdDevFixture<uint8_t>, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), framework::dataset::make("DataType",
DataType::U8)))
{
// Validate mean output
validate(_target.first, _reference.first, tolerance_rel_low_error);
// Validate std_dev output
validate(_target.second, _reference.second, tolerance_rel_high_error);
}
TEST_SUITE_END() // U8
TEST_SUITE(F16)
FIXTURE_DATA_TEST_CASE(RunSmall, CLMeanStdDevFixture<half>, framework::DatasetMode::ALL, combine(datasets::Small2DShapes(), framework::dataset::make("DataType",
DataType::F16)))
{
// Validate mean output
validate(_target.first, _reference.first, tolerance_rel_low_error_f16);
// Validate std_dev output
validate(_target.second, _reference.second, tolerance_rel_high_error_f16);
}
TEST_SUITE_END() // F16
TEST_SUITE(F32)
FIXTURE_DATA_TEST_CASE(RunSmall, CLMeanStdDevFixture<float>, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), framework::dataset::make("DataType",
DataType::F32)))
{
// Validate mean output
validate(_target.first, _reference.first, tolerance_rel_low_error_f32);
// Validate std_dev output
validate(_target.second, _reference.second, tolerance_rel_high_error_f32);
}
FIXTURE_DATA_TEST_CASE(RunLarge, CLMeanStdDevFixture<float>, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), framework::dataset::make("DataType",
DataType::F32)))
{
// Validate mean output
validate(_target.first, _reference.first, tolerance_rel_low_error_f32);
// Validate std_dev output
validate(_target.second, _reference.second, tolerance_rel_high_error_f32);
}
TEST_SUITE_END() // F32
TEST_SUITE_END() // MeanStdDev
TEST_SUITE_END() // CL
} // namespace validation
} // namespace test
} // namespace arm_compute
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