213 lines
12 KiB
C++
213 lines
12 KiB
C++
/*
|
|
* Copyright (c) 2019-2020 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/NEPReluLayer.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/ElementwiseOperationsFixture.h"
|
|
|
|
namespace arm_compute
|
|
{
|
|
namespace test
|
|
{
|
|
namespace validation
|
|
{
|
|
namespace
|
|
{
|
|
RelativeTolerance<float> tolerance_fp32(0.000001f);
|
|
AbsoluteTolerance<int8_t> tolerance_s8(1);
|
|
|
|
/** Input data sets **/
|
|
const auto PReluLayerQASYMM8Dataset = combine(combine(framework::dataset::make("DataType", DataType::QASYMM8), framework::dataset::make("DataType", DataType::QASYMM8)),
|
|
framework::dataset::make("DataType",
|
|
DataType::QASYMM8));
|
|
const auto PReluLayerQASYMM8SignedDataset = combine(combine(framework::dataset::make("DataType", DataType::QASYMM8_SIGNED), framework::dataset::make("DataType", DataType::QASYMM8_SIGNED)),
|
|
framework::dataset::make("DataType", DataType::QASYMM8_SIGNED));
|
|
const auto PReluLayerFP32Dataset = combine(combine(framework::dataset::make("DataType", DataType::F32), framework::dataset::make("DataType", DataType::F32)),
|
|
framework::dataset::make("DataType", DataType::F32));
|
|
|
|
#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
|
|
RelativeTolerance<float> tolerance_fp16(0.001f);
|
|
|
|
const auto PReluLayerFP16Dataset = combine(combine(framework::dataset::make("DataType", DataType::F16), framework::dataset::make("DataType", DataType::F16)),
|
|
framework::dataset::make("DataType", DataType::F16));
|
|
|
|
#endif // __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
|
|
|
|
} // namespace
|
|
|
|
TEST_SUITE(NEON)
|
|
TEST_SUITE(PReluLayer)
|
|
|
|
// *INDENT-OFF*
|
|
// clang-format off
|
|
DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(
|
|
framework::dataset::make("Input1Info", { TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32),
|
|
TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QASYMM8),
|
|
TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8), // Window shrink
|
|
TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), // Invalid data type combination
|
|
TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), // Mismatching shapes
|
|
}),
|
|
framework::dataset::make("Input2Info",{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32),
|
|
TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QASYMM8),
|
|
TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8),
|
|
TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S16),
|
|
TensorInfo(TensorShape(48U, 11U, 2U), 1, DataType::F32),
|
|
})),
|
|
framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32),
|
|
TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QASYMM8),
|
|
TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8),
|
|
TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8),
|
|
TensorInfo(TensorShape(48U, 11U, 2U), 1, DataType::F32),
|
|
})),
|
|
framework::dataset::make("Expected", { true, true, false, false, false})),
|
|
input1_info, input2_info, output_info, expected)
|
|
{
|
|
ARM_COMPUTE_EXPECT(bool(NEPReluLayer::validate(&input1_info.clone()->set_is_resizable(false), &input2_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 NEPReluLayerFixture = PReluLayerValidationFixture<Tensor, Accessor, NEPReluLayer, T>;
|
|
|
|
template <typename T>
|
|
using NEPReluLayerQuantizedFixture = PReluLayerValidationQuantizedFixture<Tensor, Accessor, NEPReluLayer, T>;
|
|
|
|
TEST_SUITE(Quantized)
|
|
TEST_SUITE(QASYMM8)
|
|
FIXTURE_DATA_TEST_CASE(RunSmall, NEPReluLayerQuantizedFixture<uint8_t>, framework::DatasetMode::ALL, combine(combine(combine(combine(datasets::SmallShapes(),
|
|
PReluLayerQASYMM8Dataset),
|
|
framework::dataset::make("QuantizationInfo", { QuantizationInfo(5.f / 255.f, 20) })),
|
|
framework::dataset::make("QuantizationInfo", { QuantizationInfo(2.f / 255.f, 10) })),
|
|
framework::dataset::make("QuantizationInfo", { QuantizationInfo(1.f / 255.f, 5) }))
|
|
|
|
)
|
|
{
|
|
// Validate output
|
|
validate(Accessor(_target), _reference, tolerance_fp32, 0.01);
|
|
}
|
|
|
|
FIXTURE_DATA_TEST_CASE(RunLarge, NEPReluLayerQuantizedFixture<uint8_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::LargeShapes(),
|
|
PReluLayerQASYMM8Dataset),
|
|
framework::dataset::make("QuantizationInfo", { QuantizationInfo(5.f / 255.f, 20) })),
|
|
framework::dataset::make("QuantizationInfo", { QuantizationInfo(2.f / 255.f, 10) })),
|
|
framework::dataset::make("QuantizationInfo", { QuantizationInfo(1.f / 255.f, 5) }))
|
|
|
|
)
|
|
{
|
|
// Validate output
|
|
validate(Accessor(_target), _reference, tolerance_fp32, 0.01);
|
|
}
|
|
TEST_SUITE_END() // QASYMM8
|
|
|
|
TEST_SUITE(QASYMM8_SIGNED)
|
|
FIXTURE_DATA_TEST_CASE(RunSmall, NEPReluLayerQuantizedFixture<int8_t>, framework::DatasetMode::ALL, combine(combine(combine(combine(datasets::SmallShapes(),
|
|
PReluLayerQASYMM8SignedDataset),
|
|
framework::dataset::make("QuantizationInfo", { QuantizationInfo(0.2f, 127) })),
|
|
framework::dataset::make("QuantizationInfo", { QuantizationInfo(0.1f, 64) })),
|
|
framework::dataset::make("QuantizationInfo", { QuantizationInfo(0.5f, -128) }))
|
|
|
|
)
|
|
{
|
|
// Validate output
|
|
validate(Accessor(_target), _reference, tolerance_s8, 0.01);
|
|
}
|
|
|
|
FIXTURE_DATA_TEST_CASE(RunLarge, NEPReluLayerQuantizedFixture<int8_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::LargeShapes(),
|
|
PReluLayerQASYMM8SignedDataset),
|
|
framework::dataset::make("QuantizationInfo", { QuantizationInfo(0.5f, 20) })),
|
|
framework::dataset::make("QuantizationInfo", { QuantizationInfo(0.5f, 10) })),
|
|
framework::dataset::make("QuantizationInfo", { QuantizationInfo(0.5f, 5) }))
|
|
|
|
)
|
|
{
|
|
// Validate output
|
|
validate(Accessor(_target), _reference, tolerance_s8, 0.01);
|
|
}
|
|
TEST_SUITE_END() // QASYMM8_SIGNED
|
|
TEST_SUITE_END() // Quantized
|
|
|
|
TEST_SUITE(Float)
|
|
#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
|
|
TEST_SUITE(FP16)
|
|
FIXTURE_DATA_TEST_CASE(RunSmall, NEPReluLayerFixture<half>, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), PReluLayerFP16Dataset))
|
|
{
|
|
// Validate output
|
|
validate(Accessor(_target), _reference, tolerance_fp16, 0.01);
|
|
}
|
|
|
|
FIXTURE_DATA_TEST_CASE(RunLarge, NEPReluLayerFixture<half>, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), PReluLayerFP16Dataset))
|
|
{
|
|
// Validate output
|
|
validate(Accessor(_target), _reference, tolerance_fp16, 0.01);
|
|
}
|
|
TEST_SUITE_END() // FP16
|
|
#endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */
|
|
|
|
TEST_SUITE(FP32)
|
|
FIXTURE_DATA_TEST_CASE(RunSmall, NEPReluLayerFixture<float>, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), PReluLayerFP32Dataset))
|
|
{
|
|
// Validate output
|
|
validate(Accessor(_target), _reference, tolerance_fp32);
|
|
}
|
|
|
|
FIXTURE_DATA_TEST_CASE(RunLarge, NEPReluLayerFixture<float>, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), PReluLayerFP32Dataset))
|
|
{
|
|
// Validate output
|
|
validate(Accessor(_target), _reference, tolerance_fp32);
|
|
}
|
|
|
|
template <typename T>
|
|
using NEPReluLayerBroadcastFixture = PReluLayerBroadcastValidationFixture<Tensor, Accessor, NEPReluLayer, T>;
|
|
|
|
FIXTURE_DATA_TEST_CASE(RunSmallBroadcast, NEPReluLayerBroadcastFixture<float>, framework::DatasetMode::ALL, combine(datasets::SmallShapesBroadcast(),
|
|
PReluLayerFP32Dataset))
|
|
{
|
|
// Validate output
|
|
validate(Accessor(_target), _reference, tolerance_fp32);
|
|
}
|
|
|
|
FIXTURE_DATA_TEST_CASE(RunLargeBroadcast, NEPReluLayerBroadcastFixture<float>, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapesBroadcast(),
|
|
PReluLayerFP32Dataset))
|
|
{
|
|
// Validate output
|
|
validate(Accessor(_target), _reference, tolerance_fp32);
|
|
}
|
|
TEST_SUITE_END() // FP32
|
|
TEST_SUITE_END() // Float
|
|
|
|
TEST_SUITE_END() // PReluLayer
|
|
TEST_SUITE_END() // NEON
|
|
} // namespace validation
|
|
} // namespace test
|
|
} // namespace arm_compute
|