179 lines
9.8 KiB
C++
179 lines
9.8 KiB
C++
/*
|
|
* 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/NERange.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/RangeFixture.h"
|
|
|
|
namespace arm_compute
|
|
{
|
|
namespace test
|
|
{
|
|
namespace validation
|
|
{
|
|
namespace
|
|
{
|
|
constexpr RelativeTolerance<float> tolerance(0.01f);
|
|
constexpr AbsoluteTolerance<float> abs_tolerance(0.02f);
|
|
|
|
const auto start_dataset = framework::dataset::make("Start", { float(3), float(-17), float(16) });
|
|
const auto unsigned_start_dataset = framework::dataset::make("Start", { float(3), float(16) });
|
|
const auto float_step_dataset = framework::dataset::make("Step", { float(1), float(-0.2f), float(0.2), float(12.2), float(-12.2), float(-1.2), float(-3), float(3) });
|
|
const auto step_dataset = framework::dataset::make("Step", { float(1), float(12), float(-12), float(-1), float(-3), float(3) });
|
|
const auto unsigned_step_dataset = framework::dataset::make("Step", { float(1), float(12), float(3) });
|
|
} // namespace
|
|
|
|
TEST_SUITE(NEON)
|
|
TEST_SUITE(Range)
|
|
|
|
// *INDENT-OFF*
|
|
// clang-format off
|
|
|
|
DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(
|
|
framework::dataset::make("OutputInfo", { TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8),
|
|
TensorInfo(TensorShape(32U), 1, DataType::U8),
|
|
TensorInfo(TensorShape(27U), 1, DataType::U8),
|
|
TensorInfo(TensorShape(32U), 1, DataType::U8),
|
|
TensorInfo(TensorShape(32U), 1, DataType::F32),
|
|
TensorInfo(TensorShape(27U), 1, DataType::U8),
|
|
TensorInfo(TensorShape(27U), 1, DataType::U8),
|
|
TensorInfo(TensorShape(10U), 1, DataType::QASYMM8),
|
|
TensorInfo(TensorShape(10U), 1, DataType::U8),
|
|
}),
|
|
framework::dataset::make("Start",{ 0.0f,
|
|
15.0f,
|
|
1500.0f,
|
|
100.0f,
|
|
-15.0f,
|
|
0.2f,
|
|
2.0f,
|
|
10.0f,
|
|
10.0f
|
|
})),
|
|
framework::dataset::make("End",{ 100.0f,
|
|
15.0f,
|
|
2500.0f,
|
|
-1000.0f,
|
|
15.0f,
|
|
10.0f,
|
|
10.0f,
|
|
100.0f,
|
|
100.0f
|
|
})),
|
|
framework::dataset::make("Step",{ 100.0f,
|
|
15.0f,
|
|
10.0f,
|
|
100.0f,
|
|
-15.0f,
|
|
1.0f,
|
|
0.0f,
|
|
10.0f,
|
|
10.0f
|
|
})),
|
|
framework::dataset::make("Expected", { false, // 1-D tensor expected
|
|
false, // start == end
|
|
false, // output vector size insufficient
|
|
false, // sign of step incorrect
|
|
false, // sign of step incorrect
|
|
false, // data type incompatible
|
|
false, // step = 0
|
|
false, // invalid QASYMM8 datatype
|
|
true,
|
|
})),
|
|
output_info, start, end, step, expected)
|
|
{
|
|
ARM_COMPUTE_EXPECT(bool(NERange::validate(&output_info, start, end, step)) == expected, framework::LogLevel::ERRORS);
|
|
}
|
|
// clang-format on
|
|
// *INDENT-ON*
|
|
|
|
template <typename T>
|
|
using NERangeFixture = RangeFixture<Tensor, Accessor, NERange, T>;
|
|
|
|
TEST_SUITE(U8)
|
|
FIXTURE_DATA_TEST_CASE(RunSmall, NERangeFixture<uint8_t>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(
|
|
framework::dataset::make("DataType", DataType::U8),
|
|
unsigned_start_dataset),
|
|
unsigned_step_dataset),
|
|
framework::dataset::make("QuantizationInfo", { QuantizationInfo() })))
|
|
{
|
|
// Validate output
|
|
validate(Accessor(_target), _reference, tolerance, 0.f, abs_tolerance);
|
|
}
|
|
TEST_SUITE_END() // U8
|
|
|
|
TEST_SUITE(S16)
|
|
FIXTURE_DATA_TEST_CASE(RunSmall, NERangeFixture<int16_t>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(
|
|
framework::dataset::make("DataType", DataType::S16),
|
|
start_dataset),
|
|
step_dataset),
|
|
framework::dataset::make("QuantizationInfo", { QuantizationInfo() })))
|
|
{
|
|
// Validate output
|
|
validate(Accessor(_target), _reference, tolerance, 0.f, abs_tolerance);
|
|
}
|
|
TEST_SUITE_END() // S16
|
|
|
|
TEST_SUITE(Float)
|
|
#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
|
|
TEST_SUITE(FP16)
|
|
FIXTURE_DATA_TEST_CASE(RunSmall, NERangeFixture<half>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(
|
|
framework::dataset::make("DataType", DataType::F16),
|
|
start_dataset),
|
|
float_step_dataset),
|
|
framework::dataset::make("QuantizationInfo", { QuantizationInfo() })))
|
|
{
|
|
// Validate output
|
|
validate(Accessor(_target), _reference, tolerance, 0.f, abs_tolerance);
|
|
}
|
|
TEST_SUITE_END() // FP16
|
|
#endif // __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
|
|
|
|
TEST_SUITE(FP32)
|
|
FIXTURE_DATA_TEST_CASE(RunSmall, NERangeFixture<float>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(
|
|
framework::dataset::make("DataType", DataType::F32),
|
|
start_dataset),
|
|
float_step_dataset),
|
|
framework::dataset::make("QuantizationInfo", { QuantizationInfo() })))
|
|
{
|
|
// Validate output
|
|
validate(Accessor(_target), _reference, tolerance, 0.f, abs_tolerance);
|
|
}
|
|
TEST_SUITE_END() // FP32
|
|
TEST_SUITE_END() // Float
|
|
|
|
TEST_SUITE_END() // Range
|
|
TEST_SUITE_END() // NEON
|
|
} // namespace validation
|
|
} // namespace test
|
|
} // namespace arm_compute
|