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/*
* Copyright (c) 2018-2021 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/NEChannelShuffleLayer.h"
#include "arm_compute/runtime/Tensor.h"
#include "arm_compute/runtime/TensorAllocator.h"
#include "tests/NEON/Accessor.h"
#include "tests/datasets/ChannelShuffleLayerDataset.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/ChannelShuffleLayerFixture.h"
namespace arm_compute
{
namespace test
{
namespace validation
{
TEST_SUITE(NEON)
TEST_SUITE(ChannelShuffle)
// *INDENT-OFF*
// clang-format off
DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(
framework::dataset::make("InputInfo", { TensorInfo(TensorShape(4U, 4U, 4U), 1, DataType::F32), // Invalid num groups
TensorInfo(TensorShape(4U, 4U, 4U), 1, DataType::U8), // Mismatching data_type
TensorInfo(TensorShape(4U, 5U, 4U), 1, DataType::F32), // Mismatching shapes
TensorInfo(TensorShape(4U, 4U, 4U), 1, DataType::F32), // Num groups == channels
TensorInfo(TensorShape(4U, 4U, 4U), 1, DataType::F32), // (channels % num_groups) != 0
TensorInfo(TensorShape(4U, 4U, 4U), 1, DataType::F32), // Valid
}),
framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(4U, 4U, 4U), 1, DataType::F32),
TensorInfo(TensorShape(4U, 4U, 4U), 1, DataType::F32),
TensorInfo(TensorShape(4U, 4U, 4U), 1, DataType::F32),
TensorInfo(TensorShape(4U, 4U, 4U), 1, DataType::F32),
TensorInfo(TensorShape(4U, 4U, 4U), 1, DataType::F32),
TensorInfo(TensorShape(4U, 4U, 4U), 1, DataType::F32),
})),
framework::dataset::make("NumGroups",{ 1, 2, 2, 4, 3, 2,
})),
framework::dataset::make("Expected", { false, false, false, false, false, true})),
input_info, output_info, num_groups, expected)
{
ARM_COMPUTE_EXPECT(bool(NEChannelShuffleLayer::validate(&input_info.clone()->set_is_resizable(false), &output_info.clone()->set_is_resizable(false), num_groups)) == expected, framework::LogLevel::ERRORS);
}
// clang-format on
// *INDENT-ON*
template <typename T>
using NEChannelShuffleLayerFixture = ChannelShuffleLayerValidationFixture<Tensor, Accessor, NEChannelShuffleLayer, T>;
TEST_SUITE(U8)
FIXTURE_DATA_TEST_CASE(RunSmall, NEChannelShuffleLayerFixture<uint8_t>, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallRandomChannelShuffleLayerDataset(),
framework::dataset::make("DataType", DataType::U8)),
framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })))
{
// Validate output
validate(Accessor(_target), _reference);
}
FIXTURE_DATA_TEST_CASE(RunLarge, NEChannelShuffleLayerFixture<uint8_t>, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeRandomChannelShuffleLayerDataset(),
framework::dataset::make("DataType",
DataType::U8)),
framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })))
{
// Validate output
validate(Accessor(_target), _reference);
}
TEST_SUITE_END() // U8
TEST_SUITE(Float)
#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
TEST_SUITE(FP16)
FIXTURE_DATA_TEST_CASE(RunSmall, NEChannelShuffleLayerFixture<half>, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallRandomChannelShuffleLayerDataset(),
framework::dataset::make("DataType",
DataType::F16)),
framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })))
{
// Validate output
validate(Accessor(_target), _reference);
}
FIXTURE_DATA_TEST_CASE(RunLarge, NEChannelShuffleLayerFixture<half>, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeRandomChannelShuffleLayerDataset(),
framework::dataset::make("DataType",
DataType::F16)),
framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })))
{
// Validate output
validate(Accessor(_target), _reference);
}
TEST_SUITE_END() // FP16
#endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */
TEST_SUITE(FP32)
FIXTURE_DATA_TEST_CASE(RunSmall, NEChannelShuffleLayerFixture<float>, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallRandomChannelShuffleLayerDataset(),
framework::dataset::make("DataType",
DataType::F32)),
framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })))
{
// Validate output
validate(Accessor(_target), _reference);
}
FIXTURE_DATA_TEST_CASE(RunLarge, NEChannelShuffleLayerFixture<float>, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeRandomChannelShuffleLayerDataset(),
framework::dataset::make("DataType",
DataType::F32)),
framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })))
{
// Validate output
validate(Accessor(_target), _reference);
}
TEST_SUITE_END() // FP32
TEST_SUITE_END() // Float
TEST_SUITE_END() // ChannelShuffle
TEST_SUITE_END() // Neon
} // namespace validation
} // namespace test
} // namespace arm_compute