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/*
* Copyright (c) 2018-2019 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/CLScheduler.h"
#include "arm_compute/runtime/CL/functions/CLBoundingBoxTransform.h"
#include "tests/CL/CLAccessor.h"
#include "tests/CL/CLArrayAccessor.h"
#include "tests/Globals.h"
#include "tests/framework/Macros.h"
#include "tests/framework/datasets/Datasets.h"
#include "tests/validation/Validation.h"
#include "tests/validation/fixtures/BoundingBoxTransformFixture.h"
#include "utils/TypePrinter.h"
namespace arm_compute
{
namespace test
{
namespace validation
{
namespace
{
RelativeTolerance<float> relative_tolerance_f32(0.01f);
AbsoluteTolerance<float> absolute_tolerance_f32(0.001f);
RelativeTolerance<half> relative_tolerance_f16(half(0.2));
AbsoluteTolerance<float> absolute_tolerance_f16(half(0.02f));
constexpr AbsoluteTolerance<uint16_t> tolerance_qasymm16(1);
// *INDENT-OFF*
// clang-format off
const auto BboxInfoDataset = framework::dataset::make("BboxInfo", { BoundingBoxTransformInfo(20U, 20U, 2U, true),
BoundingBoxTransformInfo(128U, 128U, 4U, true),
BoundingBoxTransformInfo(800U, 600U, 1U, false),
BoundingBoxTransformInfo(800U, 600U, 2U, true, { { 1.0, 0.5, 1.5, 2.0 } }),
BoundingBoxTransformInfo(800U, 600U, 4U, false, { { 1.0, 0.5, 1.5, 2.0 } }),
BoundingBoxTransformInfo(800U, 600U, 4U, false, { { 1.0, 0.5, 1.5, 2.0 } }, true)
});
const auto DeltaDataset = framework::dataset::make("DeltasShape", { TensorShape(36U, 1U),
TensorShape(36U, 2U),
TensorShape(36U, 2U),
TensorShape(40U, 1U),
TensorShape(40U, 20U),
TensorShape(40U, 100U),
TensorShape(40U, 200U)
});
// clang-format on
// *INDENT-ON*
} // namespace
TEST_SUITE(CL)
TEST_SUITE(BBoxTransform)
// *INDENT-OFF*
// clang-format off
DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(
framework::dataset::make("BoxesInfo", { TensorInfo(TensorShape(4U, 128U), 1, DataType::F32),
TensorInfo(TensorShape(5U, 128U), 1, DataType::F32), // Wrong number of box fields
TensorInfo(TensorShape(4U, 128U), 1, DataType::F16), // Wrong data type
TensorInfo(TensorShape(4U, 128U), 1, DataType::F32), // Wrong number of classes
TensorInfo(TensorShape(4U, 128U), 1, DataType::F32), // Deltas and predicted boxes have different dimensions
TensorInfo(TensorShape(4U, 128U), 1, DataType::F32)}), // Scaling is zero
framework::dataset::make("PredBoxesInfo",{ TensorInfo(TensorShape(128U, 128U), 1, DataType::F32),
TensorInfo(TensorShape(128U, 128U), 1, DataType::F32),
TensorInfo(TensorShape(127U, 128U), 1, DataType::F32),
TensorInfo(TensorShape(128U, 100U), 1, DataType::F32),
TensorInfo(TensorShape(128U, 100U), 1, DataType::F32),
TensorInfo(TensorShape(128U, 128U), 1, DataType::F32)})),
framework::dataset::make("DeltasInfo", { TensorInfo(TensorShape(128U, 128U), 1, DataType::F32),
TensorInfo(TensorShape(128U, 128U), 1, DataType::F32),
TensorInfo(TensorShape(127U, 128U), 1, DataType::F32),
TensorInfo(TensorShape(128U, 100U), 1, DataType::F32),
TensorInfo(TensorShape(128U, 128U), 1, DataType::F32),
TensorInfo(TensorShape(128U, 128U), 1, DataType::F32)})),
framework::dataset::make("BoundingBoxTransofmInfo", { BoundingBoxTransformInfo(800.f, 600.f, 1.f),
BoundingBoxTransformInfo(800.f, 600.f, 1.f),
BoundingBoxTransformInfo(800.f, 600.f, 1.f),
BoundingBoxTransformInfo(800.f, 600.f, 1.f),
BoundingBoxTransformInfo(800.f, 600.f, 0.f)})),
framework::dataset::make("Expected", { true, false, false, false, false, false})),
boxes_info, pred_boxes_info, deltas_info, bbox_info, expected)
{
ARM_COMPUTE_EXPECT(bool(CLBoundingBoxTransform::validate(&boxes_info.clone()->set_is_resizable(true), &pred_boxes_info.clone()->set_is_resizable(true), &deltas_info.clone()->set_is_resizable(true), bbox_info)) == expected, framework::LogLevel::ERRORS);
}
// clang-format on
// *INDENT-ON*
template <typename T>
using CLBoundingBoxTransformFixture = BoundingBoxTransformFixture<CLTensor, CLAccessor, CLBoundingBoxTransform, T>;
TEST_SUITE(Float)
TEST_SUITE(FP32)
FIXTURE_DATA_TEST_CASE(BoundingBox, CLBoundingBoxTransformFixture<float>, framework::DatasetMode::ALL,
combine(combine(DeltaDataset, BboxInfoDataset), framework::dataset::make("DataType", { DataType::F32 })))
{
// Validate output
validate(CLAccessor(_target), _reference, relative_tolerance_f32, 0.f, absolute_tolerance_f32);
}
TEST_SUITE_END() // FP32
TEST_SUITE(FP16)
FIXTURE_DATA_TEST_CASE(BoundingBox, CLBoundingBoxTransformFixture<half>, framework::DatasetMode::ALL,
combine(combine(DeltaDataset, BboxInfoDataset), framework::dataset::make("DataType", { DataType::F16 })))
{
// Validate output
validate(CLAccessor(_target), _reference, relative_tolerance_f16, 0.03f, absolute_tolerance_f16);
}
TEST_SUITE_END() // FP16
TEST_SUITE_END() // Float
template <typename T>
using CLBoundingBoxTransformQuantizedFixture = BoundingBoxTransformQuantizedFixture<CLTensor, CLAccessor, CLBoundingBoxTransform, T>;
TEST_SUITE(Quantized)
TEST_SUITE(QASYMM16)
FIXTURE_DATA_TEST_CASE(BoundingBox, CLBoundingBoxTransformQuantizedFixture<uint16_t>, framework::DatasetMode::ALL,
combine(combine(combine(DeltaDataset, BboxInfoDataset), framework::dataset::make("DataType", { DataType::QASYMM16 })),
framework::dataset::make("DeltasQuantInfo", { QuantizationInfo(1.f / 255.f, 127) })))
{
// Validate output
validate(CLAccessor(_target), _reference, tolerance_qasymm16);
}
TEST_SUITE_END() // QASYMM16
TEST_SUITE_END() // Quantized
TEST_SUITE_END() // BBoxTransform
TEST_SUITE_END() // CL
} // namespace validation
} // namespace test
} // namespace arm_compute
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