195 lines
11 KiB
C++
195 lines
11 KiB
C++
/*
|
|
* 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/core/Types.h"
|
|
#include "arm_compute/runtime/NEON/functions/NEPadLayer.h"
|
|
#include "arm_compute/runtime/Tensor.h"
|
|
#include "arm_compute/runtime/TensorAllocator.h"
|
|
#include "tests/NEON/Accessor.h"
|
|
#include "tests/PaddingCalculator.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/PadLayerFixture.h"
|
|
|
|
namespace arm_compute
|
|
{
|
|
namespace test
|
|
{
|
|
namespace validation
|
|
{
|
|
namespace
|
|
{
|
|
const auto PaddingSizesDataset = framework::dataset::make("PaddingSize",
|
|
{
|
|
PaddingList{ { 0, 0 } },
|
|
PaddingList{ { 1, 1 } },
|
|
PaddingList{ { 1, 1 }, { 2, 2 } },
|
|
PaddingList{ { 1, 1 }, { 1, 1 }, { 1, 1 } },
|
|
PaddingList{ { 0, 0 }, { 1, 0 }, { 0, 1 } },
|
|
PaddingList{ { 0, 1 }, { 1, 0 }, { 0, 1 } },
|
|
});
|
|
} // namespace
|
|
|
|
TEST_SUITE(NEON)
|
|
TEST_SUITE(PadLayer)
|
|
|
|
// *INDENT-OFF*
|
|
// clang-format off
|
|
|
|
DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(
|
|
framework::dataset::make("InputInfo", { TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), // Mismatching data type input/output
|
|
TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), // Mismatching shapes
|
|
TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32),
|
|
TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32),
|
|
TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32),
|
|
TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32),
|
|
TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), // Mismatching data type input/output
|
|
TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), // Mismatching shapes
|
|
TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32),
|
|
TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32),
|
|
TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32),
|
|
TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32)
|
|
}),
|
|
framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F16),
|
|
TensorInfo(TensorShape(28U, 11U, 2U), 1, DataType::F32),
|
|
TensorInfo(TensorShape(29U, 17U, 2U), 1, DataType::F32),
|
|
TensorInfo(TensorShape(29U, 15U, 4U, 3U), 1, DataType::F32),
|
|
TensorInfo(TensorShape(27U, 14U, 3U, 4U), 1, DataType::F32),
|
|
TensorInfo(TensorShape(32U, 13U, 2U, 3U), 1, DataType::F32),
|
|
TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F16),
|
|
TensorInfo(TensorShape(28U, 11U, 2U), 1, DataType::F32),
|
|
TensorInfo(TensorShape(29U, 17U, 2U), 1, DataType::F32),
|
|
TensorInfo(TensorShape(29U, 15U, 4U, 3U), 1, DataType::F32),
|
|
TensorInfo(TensorShape(27U, 14U, 3U, 4U), 1, DataType::F32),
|
|
TensorInfo(TensorShape(32U, 13U, 2U, 3U), 1, DataType::F32)
|
|
})),
|
|
framework::dataset::make("PaddingSize", { PaddingList{{0, 0}},
|
|
PaddingList{{1, 1}},
|
|
PaddingList{{1, 1}, {2, 2}},
|
|
PaddingList{{1,1}, {1,1}, {1,1}, {1,1}},
|
|
PaddingList{{0,0}, {1,0}, {0,1}, {1,2}},
|
|
PaddingList{{0,0}, {0,0}, {0,0}, {1,1}},
|
|
PaddingList{{0, 0}},
|
|
PaddingList{{1, 1}},
|
|
PaddingList{{1, 1}, {2, 2}},
|
|
PaddingList{{1,1}, {1,1}, {1,1}, {1,1}},
|
|
PaddingList{{0,0}, {1,0}, {0,1}, {1,2}},
|
|
PaddingList{{0,0}, {0,0}, {0,0}, {1,1}}
|
|
})),
|
|
framework::dataset::make("PaddingMode", { PaddingMode::CONSTANT,
|
|
PaddingMode::CONSTANT,
|
|
PaddingMode::CONSTANT,
|
|
PaddingMode::CONSTANT,
|
|
PaddingMode::CONSTANT,
|
|
PaddingMode::CONSTANT,
|
|
PaddingMode::REFLECT,
|
|
PaddingMode::REFLECT,
|
|
PaddingMode::REFLECT,
|
|
PaddingMode::REFLECT,
|
|
PaddingMode::REFLECT,
|
|
PaddingMode::SYMMETRIC })),
|
|
framework::dataset::make("Expected", { false, false, true, true, true, true, false, false, true, false, false, true })),
|
|
input_info, output_info, padding, mode, expected)
|
|
{
|
|
ARM_COMPUTE_EXPECT(bool(NEPadLayer::validate(&input_info.clone()->set_is_resizable(true), &output_info.clone()->set_is_resizable(true), padding, PixelValue(), mode)) == expected, framework::LogLevel::ERRORS);
|
|
}
|
|
|
|
// clang-format on
|
|
// *INDENT-ON*
|
|
|
|
template <typename T>
|
|
using NEPaddingFixture = PaddingFixture<Tensor, Accessor, NEPadLayer, T>;
|
|
|
|
TEST_SUITE(Float)
|
|
|
|
TEST_SUITE(FP32)
|
|
FIXTURE_DATA_TEST_CASE(RunSmall, NEPaddingFixture<float>, framework::DatasetMode::ALL,
|
|
combine(combine(combine(datasets::Small3DShapes(), framework::dataset::make("DataType", { DataType::F32 })),
|
|
PaddingSizesDataset),
|
|
framework::dataset::make("PaddingMode", { PaddingMode::CONSTANT, PaddingMode::REFLECT })))
|
|
{
|
|
// Validate output
|
|
validate(Accessor(_target), _reference);
|
|
}
|
|
FIXTURE_DATA_TEST_CASE(RunLarge, NEPaddingFixture<float>, framework::DatasetMode::NIGHTLY,
|
|
combine(combine(combine(datasets::Large3DShapes(), framework::dataset::make("DataType", { DataType::F32 })),
|
|
PaddingSizesDataset),
|
|
framework::dataset::make("PaddingMode", { PaddingMode::CONSTANT, PaddingMode::REFLECT, PaddingMode::SYMMETRIC })))
|
|
{
|
|
// Validate output
|
|
validate(Accessor(_target), _reference);
|
|
}
|
|
TEST_SUITE_END() // FP32
|
|
|
|
#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
|
|
TEST_SUITE(FP16)
|
|
FIXTURE_DATA_TEST_CASE(RunSmall, NEPaddingFixture<half>, framework::DatasetMode::ALL,
|
|
combine(combine(combine(datasets::Small3DShapes(), framework::dataset::make("DataType", { DataType::F16 })),
|
|
PaddingSizesDataset),
|
|
framework::dataset::make("PaddingMode", { PaddingMode::CONSTANT, PaddingMode::REFLECT })))
|
|
{
|
|
// Validate output
|
|
validate(Accessor(_target), _reference);
|
|
}
|
|
FIXTURE_DATA_TEST_CASE(RunLarge, NEPaddingFixture<half>, framework::DatasetMode::NIGHTLY,
|
|
combine(combine(combine(datasets::Large3DShapes(), framework::dataset::make("DataType", { DataType::F16 })),
|
|
PaddingSizesDataset),
|
|
framework::dataset::make("PaddingMode", { PaddingMode::CONSTANT, PaddingMode::REFLECT, PaddingMode::SYMMETRIC })))
|
|
{
|
|
// Validate output
|
|
validate(Accessor(_target), _reference);
|
|
}
|
|
TEST_SUITE_END() // FP16
|
|
#endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */
|
|
TEST_SUITE_END() // Float
|
|
|
|
TEST_SUITE(Quantized)
|
|
TEST_SUITE(QASYMM8)
|
|
FIXTURE_DATA_TEST_CASE(RunSmall, NEPaddingFixture<uint8_t>, framework::DatasetMode::ALL,
|
|
combine(combine(combine(datasets::Small3DShapes(), framework::dataset::make("DataType", { DataType::QASYMM8 })),
|
|
PaddingSizesDataset),
|
|
framework::dataset::make("PaddingMode", { PaddingMode::CONSTANT, PaddingMode::REFLECT })))
|
|
{
|
|
// Validate output
|
|
validate(Accessor(_target), _reference);
|
|
}
|
|
FIXTURE_DATA_TEST_CASE(RunLarge, NEPaddingFixture<uint8_t>, framework::DatasetMode::NIGHTLY,
|
|
combine(combine(combine(datasets::Large3DShapes(), framework::dataset::make("DataType", { DataType::QASYMM8 })),
|
|
PaddingSizesDataset),
|
|
framework::dataset::make("PaddingMode", { PaddingMode::CONSTANT, PaddingMode::REFLECT, PaddingMode::SYMMETRIC })))
|
|
{
|
|
// Validate output
|
|
validate(Accessor(_target), _reference);
|
|
}
|
|
TEST_SUITE_END() // QASYMM8
|
|
TEST_SUITE_END() // Quantized
|
|
|
|
TEST_SUITE_END() // PadLayer
|
|
TEST_SUITE_END() // NEON
|
|
} // namespace validation
|
|
} // namespace test
|
|
} // namespace arm_compute
|