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/*
* Copyright (c) 2018-2020 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/CL/CLTensor.h"
#include "arm_compute/runtime/CL/CLTensorAllocator.h"
#include "arm_compute/runtime/CL/functions/CLElementwiseOperations.h"
#include "tests/CL/CLAccessor.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/ElementwiseOperationsFixture.h"
namespace arm_compute
{
namespace test
{
namespace validation
{
namespace
{
RelativeTolerance<float> tolerance_fp32(0.000001f);
RelativeTolerance<float> tolerance_fp16(0.001f);
constexpr unsigned int num_elems_processed_per_iteration = 16;
/** Input data sets **/
const auto ArithmeticDivisionFP16Dataset = combine(combine(framework::dataset::make("DataType", DataType::F16), framework::dataset::make("DataType", DataType::F16)),
framework::dataset::make("DataType", DataType::F16));
const auto ArithmeticDivisionFP32Dataset = combine(combine(framework::dataset::make("DataType", DataType::F32), framework::dataset::make("DataType", DataType::F32)),
framework::dataset::make("DataType", DataType::F32));
const auto EmptyActivationFunctionsDataset = framework::dataset::make("ActivationInfo",
{ ActivationLayerInfo() });
const auto ActivationFunctionsDataset = framework::dataset::make("ActivationInfo",
{
ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::BOUNDED_RELU, 0.75f, 0.25f),
ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LOGISTIC, 0.75f, 0.25f)
});
} // namespace
TEST_SUITE(CL)
TEST_SUITE(ArithmeticDivision)
// *INDENT-OFF*
// clang-format off
DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(
framework::dataset::make("Input1Info", { TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32),
TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32),
TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), // Window shrink
TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), // Invalid data type combination
TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), // Mismatching shapes
}),
framework::dataset::make("Input2Info",{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32),
TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F16),
TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32),
TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S16),
TensorInfo(TensorShape(48U, 11U, 2U), 1, DataType::F32),
})),
framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32),
TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32),
TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32),
TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32),
TensorInfo(TensorShape(48U, 11U, 2U), 1, DataType::F32),
})),
framework::dataset::make("Expected", { true, false, false, false, false})),
input1_info, input2_info, output_info, expected)
{
ARM_COMPUTE_EXPECT(bool(CLArithmeticDivision::validate(&input1_info.clone()->set_is_resizable(false), &input2_info.clone()->set_is_resizable(false), &output_info.clone()->set_is_resizable(false))) == expected, framework::LogLevel::ERRORS);
}
// clang-format on
// *INDENT-ON*
template <typename T>
using CLArithmeticDivisionFloatFixture = ArithmeticDivisionValidationFloatFixture<CLTensor, CLAccessor, CLArithmeticDivision, T>;
TEST_SUITE(Float)
TEST_SUITE(FP16)
FIXTURE_DATA_TEST_CASE(RunSmall, CLArithmeticDivisionFloatFixture<half>, framework::DatasetMode::ALL, combine(combine(datasets::SmallShapes(), ArithmeticDivisionFP16Dataset),
EmptyActivationFunctionsDataset))
{
// Validate output
validate(CLAccessor(_target), _reference, tolerance_fp16, 0.01);
}
FIXTURE_DATA_TEST_CASE(RunWithActivation, CLArithmeticDivisionFloatFixture<half>, framework::DatasetMode::ALL, combine(combine(datasets::TinyShapes(), ArithmeticDivisionFP16Dataset),
ActivationFunctionsDataset))
{
// Validate output
validate(CLAccessor(_target), _reference, tolerance_fp16, 0.01);
}
TEST_SUITE_END()
TEST_SUITE(FP32)
DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, datasets::SmallShapes(),
shape)
{
// Create tensors
CLTensor ref_src1 = create_tensor<CLTensor>(shape, DataType::F32);
CLTensor ref_src2 = create_tensor<CLTensor>(shape, DataType::F32);
CLTensor dst = create_tensor<CLTensor>(shape, DataType::F32);
// Create and Configure function
CLArithmeticDivision add;
add.configure(&ref_src1, &ref_src2, &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(), num_elems_processed_per_iteration).required_padding();
validate(ref_src1.info()->padding(), padding);
validate(ref_src2.info()->padding(), padding);
validate(dst.info()->padding(), padding);
}
FIXTURE_DATA_TEST_CASE(RunSmall, CLArithmeticDivisionFloatFixture<float>, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), ArithmeticDivisionFP32Dataset),
EmptyActivationFunctionsDataset))
{
// Validate output
validate(CLAccessor(_target), _reference, tolerance_fp32);
}
FIXTURE_DATA_TEST_CASE(RunWithActivation, CLArithmeticDivisionFloatFixture<float>, framework::DatasetMode::ALL, combine(combine(datasets::TinyShapes(), ArithmeticDivisionFP32Dataset),
ActivationFunctionsDataset))
{
// Validate output
validate(CLAccessor(_target), _reference, tolerance_fp32);
}
FIXTURE_DATA_TEST_CASE(RunLarge, CLArithmeticDivisionFloatFixture<float>, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), ArithmeticDivisionFP32Dataset),
EmptyActivationFunctionsDataset))
{
// Validate output
validate(CLAccessor(_target), _reference, tolerance_fp32);
}
template <typename T>
using CLArithmeticDivisionBroadcastFloatFixture = ArithmeticDivisionBroadcastValidationFloatFixture<CLTensor, CLAccessor, CLArithmeticDivision, T>;
FIXTURE_DATA_TEST_CASE(RunSmallBroadcast, CLArithmeticDivisionBroadcastFloatFixture<float>, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapesBroadcast(),
ArithmeticDivisionFP32Dataset),
EmptyActivationFunctionsDataset))
{
// Validate output
validate(CLAccessor(_target), _reference, tolerance_fp32);
}
FIXTURE_DATA_TEST_CASE(RunWithActivationBroadcast, CLArithmeticDivisionBroadcastFloatFixture<float>, framework::DatasetMode::ALL, combine(combine(datasets::TinyShapesBroadcast(),
ArithmeticDivisionFP32Dataset),
ActivationFunctionsDataset))
{
// Validate output
validate(CLAccessor(_target), _reference, tolerance_fp32);
}
FIXTURE_DATA_TEST_CASE(RunLargeBroadcast, CLArithmeticDivisionBroadcastFloatFixture<float>, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapesBroadcast(),
ArithmeticDivisionFP32Dataset),
EmptyActivationFunctionsDataset))
{
// Validate output
validate(CLAccessor(_target), _reference, tolerance_fp32);
}
TEST_SUITE_END()
TEST_SUITE_END()
TEST_SUITE_END()
TEST_SUITE_END()
} // namespace validation
} // namespace test
} // namespace arm_compute