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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/core/Types.h"
#include "arm_compute/runtime/NEON/functions/NEWidthConcatenateLayer.h"
#include "arm_compute/runtime/Tensor.h"
#include "arm_compute/runtime/TensorAllocator.h"
#include "tests/NEON/Accessor.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/WidthConcatenateLayerFixture.h"
namespace arm_compute
{
namespace test
{
namespace validation
{
TEST_SUITE(NEON)
TEST_SUITE(WidthConcatenateLayer)
// *INDENT-OFF*
// clang-format off
DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(
framework::dataset::make("InputInfo1", { TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), // Mismatching data type input/output
TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), // Mismatching y dimension
TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), // Mismatching total width
TensorInfo(TensorShape(16U, 27U, 5U), 1, DataType::F32)
}),
framework::dataset::make("InputInfo2", { TensorInfo(TensorShape(24U, 27U, 4U), 1, DataType::F32),
TensorInfo(TensorShape(52U, 27U, 5U), 1, DataType::F32),
TensorInfo(TensorShape(52U, 27U, 5U), 1, DataType::F32),
TensorInfo(TensorShape(16U, 27U, 5U), 1, DataType::F32)
})),
framework::dataset::make("OutputInfo", { TensorInfo(TensorShape(47U, 27U, 5U), 1, DataType::F16),
TensorInfo(TensorShape(75U, 12U, 5U), 1, DataType::F32),
TensorInfo(TensorShape(11U, 27U, 5U), 1, DataType::F32),
TensorInfo(TensorShape(32U, 27U, 5U), 1, DataType::F32)
})),
framework::dataset::make("Expected", { false, false, false, true })),
input_info1, input_info2, output_info,expected)
{
std::vector<TensorInfo> inputs_vector_info;
inputs_vector_info.emplace_back(std::move(input_info1));
inputs_vector_info.emplace_back(std::move(input_info2));
std::vector<ITensorInfo *> inputs_vector_info_raw;
for(auto &input : inputs_vector_info)
{
inputs_vector_info_raw.emplace_back(&input);
}
bool is_valid = bool(NEWidthConcatenateLayer::validate(inputs_vector_info_raw,
&output_info.clone()->set_is_resizable(false)));
ARM_COMPUTE_EXPECT(is_valid == expected, framework::LogLevel::ERRORS);
}
// clang-format on
// *INDENT-ON*
template <typename T>
using NEWidthConcatenateLayerFixture = WidthConcatenateLayerValidationFixture<Tensor, ITensor, Accessor, NEWidthConcatenateLayer, T>;
TEST_SUITE(Float)
TEST_SUITE(FP32)
FIXTURE_DATA_TEST_CASE(RunSmall, NEWidthConcatenateLayerFixture<float>, framework::DatasetMode::PRECOMMIT, combine(concat(datasets::Small2DShapes(), datasets::Tiny4DShapes()),
framework::dataset::make("DataType",
DataType::F32)))
{
// Validate output
validate(Accessor(_target), _reference);
}
FIXTURE_DATA_TEST_CASE(RunLarge, NEWidthConcatenateLayerFixture<float>, framework::DatasetMode::NIGHTLY, combine(datasets::WidthConcatenateLayerShapes(), framework::dataset::make("DataType",
DataType::F32)))
{
// Validate output
validate(Accessor(_target), _reference);
}
TEST_SUITE_END()
TEST_SUITE_END()
TEST_SUITE(Quantized)
TEST_SUITE(QASYMM8)
FIXTURE_DATA_TEST_CASE(RunSmall, NEWidthConcatenateLayerFixture<uint8_t>, framework::DatasetMode::PRECOMMIT, combine(concat(datasets::Small2DShapes(), datasets::Tiny4DShapes()),
framework::dataset::make("DataType",
DataType::QASYMM8)))
{
// Validate output
validate(Accessor(_target), _reference);
}
FIXTURE_DATA_TEST_CASE(RunLarge, NEWidthConcatenateLayerFixture<uint8_t>, framework::DatasetMode::NIGHTLY, combine(datasets::WidthConcatenateLayerShapes(), framework::dataset::make("DataType",
DataType::QASYMM8)))
{
// Validate output
validate(Accessor(_target), _reference);
}
TEST_SUITE_END()
TEST_SUITE_END()
TEST_SUITE_END()
TEST_SUITE_END()
} // namespace validation
} // namespace test
} // namespace arm_compute
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