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/*
* Copyright (c) 2017 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/CLDirectConvolutionLayer.h"
#include "framework/Asserts.h"
#include "framework/Macros.h"
#include "framework/datasets/Datasets.h"
#include "tests/CL/CLAccessor.h"
#include "tests/PaddingCalculator.h"
#include "tests/datasets_new/ShapeDatasets.h"
#include "tests/validation_new/Validation.h"
#include "tests/validation_new/fixtures/DirectConvolutionLayerFixture.h"
#include "tests/validation_new/half.h"
namespace arm_compute
{
namespace test
{
namespace validation
{
namespace
{
constexpr AbsoluteTolerance<float> tolerance_fp16(0.1f); /**< Tolerance for floating point tests */
constexpr AbsoluteTolerance<float> tolerance_fp32(0.001f); /**< Tolerance for floating point tests */
constexpr AbsoluteTolerance<int8_t> tolerance_qs8(0); /**< Tolerance for fixed point tests */
constexpr AbsoluteTolerance<int16_t> tolerance_qs16(0); /**< Tolerance for fixed point tests */
/** Direct convolution data set. */
const auto data_quantized = combine(datasets::SmallDirectConvolutionShapes(),
combine(framework::dataset::make("StrideX", 1, 3),
combine(framework::dataset::make("StrideY", 1, 3),
combine(concat(combine(framework::dataset::make("PadX", 0),
combine(framework::dataset::make("PadY", 0),
framework::dataset::make("KernelSize", 1))),
combine(framework::dataset::make("PadX", 0, 2),
combine(framework::dataset::make("PadY", 0, 2),
framework::dataset::make("KernelSize", { 3 })))),
framework::dataset::make("NumKernels", { 1, 4, 8, 16 })))));
const auto data = combine(datasets::SmallDirectConvolutionShapes(),
combine(framework::dataset::make("StrideX", 1, 3),
combine(framework::dataset::make("StrideY", 1, 3),
combine(concat(combine(framework::dataset::make("PadX", 0),
combine(framework::dataset::make("PadY", 0),
framework::dataset::make("KernelSize", 1))),
combine(framework::dataset::make("PadX", 0, 2),
combine(framework::dataset::make("PadY", 0, 2),
framework::dataset::make("KernelSize", { 3, 5 })))),
framework::dataset::make("NumKernels", { 1, 4, 8, 16 })))));
} // namespace
TEST_SUITE(CL)
TEST_SUITE(DirectConvolutionLayer)
//TODO(COMPMID-415): Configuration tests?
template <typename T>
using CLDirectConvolutionLayerFixture = DirectConvolutionValidationFixture<CLTensor, CLAccessor, CLDirectConvolutionLayer, T>;
TEST_SUITE(Float)
TEST_SUITE(FP16)
FIXTURE_DATA_TEST_CASE(Run, CLDirectConvolutionLayerFixture<half_float::half>, framework::DatasetMode::ALL, combine(data, framework::dataset::make("DataType", DataType::F16)))
{
// Validate output
validate(CLAccessor(_target), _reference, tolerance_fp16);
}
TEST_SUITE_END()
TEST_SUITE(FP32)
FIXTURE_DATA_TEST_CASE(Run, CLDirectConvolutionLayerFixture<float>, framework::DatasetMode::ALL, combine(data, framework::dataset::make("DataType", DataType::F32)))
{
// Validate output
validate(CLAccessor(_target), _reference, tolerance_fp32);
}
TEST_SUITE_END()
TEST_SUITE_END()
template <typename T>
using CLDirectConvolutionLayerFixedPointFixture = DirectConvolutionValidationFixedPointFixture<CLTensor, CLAccessor, CLDirectConvolutionLayer, T>;
TEST_SUITE(Quantized)
TEST_SUITE(QS8)
FIXTURE_DATA_TEST_CASE(Run, CLDirectConvolutionLayerFixedPointFixture<int8_t>, framework::DatasetMode::ALL, combine(combine(data_quantized, framework::dataset::make("DataType", DataType::QS8)),
framework::dataset::make("FractionalBits", 2, 7)))
{
// Validate output
validate(CLAccessor(_target), _reference, tolerance_qs8);
}
TEST_SUITE_END()
TEST_SUITE(QS16)
FIXTURE_DATA_TEST_CASE(Run, CLDirectConvolutionLayerFixedPointFixture<int16_t>, framework::DatasetMode::ALL, combine(combine(data_quantized, framework::dataset::make("DataType", DataType::QS16)),
framework::dataset::make("FractionalBits", 2, 15)))
{
// Validate output
validate(CLAccessor(_target), _reference, tolerance_qs16);
}
TEST_SUITE_END()
TEST_SUITE_END()
TEST_SUITE_END()
TEST_SUITE_END()
} // namespace validation
} // namespace test
} // namespace arm_compute
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