tests/validation/NEON/Flatten.cpp

/*
 * Copyright (c) 2017-2021 Arm Limited.
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 * SPDX-License-Identifier: MIT
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 * of this software and associated documentation files (the "Software"), to
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 * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
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 * furnished to do so, subject to the following conditions:
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 * The above copyright notice and this permission notice shall be included in all
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 * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
 * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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 * SOFTWARE.
 */
#include "arm_compute/core/Types.h"
#include "arm_compute/runtime/Allocator.h"
#include "arm_compute/runtime/NEON/functions/NEFlattenLayer.h"
#include "arm_compute/runtime/Tensor.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/FlattenLayerFixture.h"

namespace arm_compute
{
namespace test
{
namespace validation
{
TEST_SUITE(NEON)
TEST_SUITE(FlattenLayer)

// *INDENT-OFF*
// clang-format off
DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(
               framework::dataset::make("InputInfo", { 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),  // Valid
                                                     }),
               framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(64U), 1, DataType::F32),
                                                       TensorInfo(TensorShape(64U), 1, DataType::F32),
                                                       TensorInfo(TensorShape(64U), 1, DataType::F32),
                                                     })),
               framework::dataset::make("Expected", { false, false, true})),
               input_info, output_info, expected)
{
    ARM_COMPUTE_EXPECT(bool(NEFlattenLayer::validate(&input_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 NEFlattenLayerFixture = FlattenLayerValidationFixture<Tensor, Accessor, NEFlattenLayer, T>;

TEST_SUITE(Float)
TEST_SUITE(FP32)
FIXTURE_DATA_TEST_CASE(RunSmall, NEFlattenLayerFixture<float>, framework::DatasetMode::ALL, combine(framework::dataset::concat(datasets::Small3DShapes(), datasets::Small4DShapes()),
                                                                                                    framework::dataset::make("DataType", DataType::F32)))
{
    // Validate output
    validate(Accessor(_target), _reference);
}
FIXTURE_DATA_TEST_CASE(RunLarge, NEFlattenLayerFixture<float>, framework::DatasetMode::NIGHTLY, combine(framework::dataset::concat(datasets::Large3DShapes(), datasets::Large4DShapes()),
                                                                                                        framework::dataset::make("DataType", DataType::F32)))
{
    // Validate output
    validate(Accessor(_target), _reference);
}
TEST_SUITE_END() // FP32

#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
TEST_SUITE(FP16)
FIXTURE_DATA_TEST_CASE(RunSmall, NEFlattenLayerFixture<half>, framework::DatasetMode::ALL, combine(framework::dataset::concat(datasets::Small3DShapes(), datasets::Small4DShapes()),
                                                                                                   framework::dataset::make("DataType", DataType::F16)))
{
    // Validate output
    validate(Accessor(_target), _reference);
}
FIXTURE_DATA_TEST_CASE(RunLarge, NEFlattenLayerFixture<half>, framework::DatasetMode::NIGHTLY, combine(framework::dataset::concat(datasets::Large3DShapes(), datasets::Large4DShapes()),
                                                                                                       framework::dataset::make("DataType", DataType::F16)))
{
    // Validate output
    validate(Accessor(_target), _reference);
}
TEST_SUITE_END() // FP16
#endif           /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */
TEST_SUITE_END() // Float

TEST_SUITE_END() // FlattenLayer
TEST_SUITE_END() // Neon
} // namespace validation
} // namespace test
} // namespace arm_compute