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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/NEUpsampleLayer.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/UpsampleLayerFixture.h"
namespace arm_compute
{
namespace test
{
namespace validation
{
TEST_SUITE(NEON)
TEST_SUITE(UpsampleLayer)
DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, (combine(datasets::SmallShapes(), framework::dataset::make("DataType", DataType::F32))),
input_shape, data_type)
{
InterpolationPolicy policy = InterpolationPolicy::NEAREST_NEIGHBOR;
Size2D info = Size2D(2, 2);
// Create tensors
Tensor src = create_tensor<Tensor>(input_shape, data_type, 1);
Tensor dst;
ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS);
ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS);
// Create and configure function
NEUpsampleLayer upsample;
upsample.configure(&src, &dst, info, policy);
// Validate valid region
const ValidRegion src_valid_region = shape_to_valid_region(src.info()->tensor_shape());
const ValidRegion dst_valid_region = shape_to_valid_region(dst.info()->tensor_shape());
validate(src.info()->valid_region(), src_valid_region);
validate(dst.info()->valid_region(), dst_valid_region);
}
// *INDENT-OFF*
// clang-format off
DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(
framework::dataset::make("InputInfo", { TensorInfo(TensorShape(10U, 10U, 2U), 1, DataType::F32), // Mismatching data type
TensorInfo(TensorShape(10U, 10U, 2U), 1, DataType::F32), // Invalid output shape
TensorInfo(TensorShape(10U, 10U, 2U), 1, DataType::F32), // Invalid stride
TensorInfo(TensorShape(10U, 10U, 2U), 1, DataType::F32), // Invalid policy
TensorInfo(TensorShape(32U, 32U), 1, DataType::F32),
}),
framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(20U, 20U, 2U), 1, DataType::F16),
TensorInfo(TensorShape(20U, 10U, 2U), 1, DataType::F32),
TensorInfo(TensorShape(20U, 20U, 2U), 1, DataType::F32),
TensorInfo(TensorShape(20U, 20U, 2U), 1, DataType::F32),
TensorInfo(TensorShape(64U, 64U), 1, DataType::F32),
})),
framework::dataset::make("PadInfo", { Size2D(2, 2),
Size2D(2, 2),
Size2D(1, 1),
Size2D(2, 2),
Size2D(2, 2),
})),
framework::dataset::make("UpsamplingPolicy", { InterpolationPolicy::NEAREST_NEIGHBOR,
InterpolationPolicy::NEAREST_NEIGHBOR,
InterpolationPolicy::NEAREST_NEIGHBOR,
InterpolationPolicy::BILINEAR,
InterpolationPolicy::NEAREST_NEIGHBOR,
})),
framework::dataset::make("Expected", { false, false, false, false, true })),
input_info, output_info, pad_info, policy, expected)
{
bool is_valid = bool(NEUpsampleLayer::validate(&input_info.clone()->set_is_resizable(false), &output_info.clone()->set_is_resizable(false), pad_info, policy));
ARM_COMPUTE_EXPECT(is_valid == expected, framework::LogLevel::ERRORS);
}
// clang-format on
// *INDENT-ON*
template <typename T>
using NEUpsampleLayerFixture = UpsampleLayerFixture<Tensor, Accessor, NEUpsampleLayer, T>;
template <typename T>
using NEUpsampleLayerQuantizedFixture = UpsampleLayerQuantizedFixture<Tensor, Accessor, NEUpsampleLayer, T>;
TEST_SUITE(Float)
TEST_SUITE(FP32)
FIXTURE_DATA_TEST_CASE(RunSmall, NEUpsampleLayerFixture<float>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallShapes(),
framework::dataset::make("DataType", DataType::F32)),
framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })),
framework::dataset::make("PadInfo", { Size2D(2, 2) })),
framework::dataset::make("UpsamplingPolicy", { InterpolationPolicy::NEAREST_NEIGHBOR })))
{
// Validate output
validate(Accessor(_target), _reference);
}
TEST_SUITE_END() // FP32
#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
TEST_SUITE(FP16)
FIXTURE_DATA_TEST_CASE(RunSmall, NEUpsampleLayerFixture<half>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallShapes(),
framework::dataset::make("DataType",
DataType::F16)),
framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })),
framework::dataset::make("PadInfo", { Size2D(2, 2) })),
framework::dataset::make("UpsamplingPolicy", { InterpolationPolicy::NEAREST_NEIGHBOR })))
{
// 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, NEUpsampleLayerQuantizedFixture<uint8_t>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(combine(datasets::SmallShapes(),
framework::dataset::make("DataType", DataType::QASYMM8)),
framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })),
framework::dataset::make("PadInfo", { Size2D(2, 2) })),
framework::dataset::make("UpsamplingPolicy", { InterpolationPolicy::NEAREST_NEIGHBOR })),
framework::dataset::make("QuantizationInfo", QuantizationInfo(2.f / 255.f, 10))))
{
// Validate output
validate(Accessor(_target), _reference);
}
TEST_SUITE_END() // Quantized
TEST_SUITE_END() // QASYMM8
TEST_SUITE_END() // UpsampleLayer
TEST_SUITE_END() // NEON
} // namespace validation
} // namespace test
} // namespace arm_compute