212 lines
12 KiB
C++
212 lines
12 KiB
C++
/*
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* Copyright (c) 2018-2020 Arm Limited.
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*
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* SPDX-License-Identifier: MIT
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*
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* Permission is hereby granted, free of charge, to any person obtaining a copy
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* of this software and associated documentation files (the "Software"), to
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* deal in the Software without restriction, including without limitation the
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* rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
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* sell copies of the Software, and to permit persons to whom the Software is
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* furnished to do so, subject to the following conditions:
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*
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* The above copyright notice and this permission notice shall be included in all
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* copies or substantial portions of the Software.
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*
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* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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* SOFTWARE.
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*/
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#include "arm_compute/core/Types.h"
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#include "arm_compute/runtime/NEON/functions/NEElementwiseOperations.h"
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#include "arm_compute/runtime/Tensor.h"
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#include "arm_compute/runtime/TensorAllocator.h"
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#include "tests/NEON/Accessor.h"
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#include "tests/PaddingCalculator.h"
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#include "tests/datasets/ShapeDatasets.h"
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#include "tests/framework/Asserts.h"
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#include "tests/framework/Macros.h"
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#include "tests/framework/datasets/Datasets.h"
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#include "tests/validation/Validation.h"
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#include "tests/validation/fixtures/ElementwiseOperationsFixture.h"
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namespace arm_compute
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{
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namespace test
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{
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namespace validation
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{
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namespace
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{
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RelativeTolerance<float> tolerance_fp32(0.000001f);
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#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
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RelativeTolerance<float> tolerance_fp16(0.01f);
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#endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */
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/** Input data sets **/
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const auto ElementwiseSquaredDiffQASYMM8Dataset = combine(combine(framework::dataset::make("DataType", DataType::QASYMM8), framework::dataset::make("DataType", DataType::QASYMM8)),
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framework::dataset::make("DataType",
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DataType::QASYMM8));
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const auto ElementwiseSquaredDiffQASYMM8SignedDataset = combine(combine(framework::dataset::make("DataType", DataType::QASYMM8_SIGNED), framework::dataset::make("DataType", DataType::QASYMM8_SIGNED)),
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framework::dataset::make("DataType",
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DataType::QASYMM8_SIGNED));
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/** Input data sets **/
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const auto ElementwiseSquaredDiffS32Dataset = combine(combine(framework::dataset::make("DataType", DataType::S32), framework::dataset::make("DataType", DataType::S32)),
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framework::dataset::make("DataType",
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DataType::S32));
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const auto ElementwiseSquaredDiffS16Dataset = combine(combine(framework::dataset::make("DataType", { DataType::S16 }), framework::dataset::make("DataType", DataType::S16)),
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framework::dataset::make("DataType", DataType::S16));
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#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
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const auto ElementwiseSquaredDiffFP16Dataset = combine(combine(framework::dataset::make("DataType", DataType::F16), framework::dataset::make("DataType", DataType::F16)),
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framework::dataset::make("DataType", DataType::F16));
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#endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */
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const auto ElementwiseSquaredDiffFP32Dataset = combine(combine(framework::dataset::make("DataType", DataType::F32), framework::dataset::make("DataType", DataType::F32)),
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framework::dataset::make("DataType", DataType::F32));
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} // namespace
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TEST_SUITE(NEON)
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TEST_SUITE(ElementwiseSquaredDiff)
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template <typename T>
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using NEElementwiseSquaredDiffFixture = ElementwiseSquaredDiffValidationFixture<Tensor, Accessor, NEElementwiseSquaredDiff, T>;
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// *INDENT-OFF*
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// clang-format off
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DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(
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framework::dataset::make("Input1Info", { TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32),
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TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S32),
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TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::S32),
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TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S32), // Invalid data type combination
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TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), // Mismatching shapes
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TensorInfo(TensorShape(1U, 1U, 2U), 1, DataType::QASYMM8_SIGNED), // Mismatching types
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}),
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framework::dataset::make("Input2Info",{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32),
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TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S32),
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TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::S32),
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TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S16),
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TensorInfo(TensorShape(48U, 11U, 2U), 1, DataType::F32),
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TensorInfo(TensorShape(1U, 1U, 2U), 1, DataType::QASYMM8_SIGNED),
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})),
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framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32),
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TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S32),
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TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::S32),
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TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S32),
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TensorInfo(TensorShape(48U, 11U, 2U), 1, DataType::F32),
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TensorInfo(TensorShape(1U, 1U, 2U), 1, DataType::QASYMM8, QuantizationInfo(0.3f,1)),
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})),
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framework::dataset::make("Expected", { true, true, true, false, false, false})),
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input1_info, input2_info, output_info, expected)
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{
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ARM_COMPUTE_EXPECT(bool(NEElementwiseSquaredDiff::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);
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}
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// clang-format on
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// *INDENT-ON*
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TEST_SUITE(S32)
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FIXTURE_DATA_TEST_CASE(RunSmall, NEElementwiseSquaredDiffFixture<int32_t>, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), ElementwiseSquaredDiffS32Dataset))
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{
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// Validate output
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validate(Accessor(_target), _reference);
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}
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TEST_SUITE_END() // S32
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TEST_SUITE(S16)
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FIXTURE_DATA_TEST_CASE(RunSmall, NEElementwiseSquaredDiffFixture<int16_t>, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), ElementwiseSquaredDiffS16Dataset))
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{
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// Validate output
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validate(Accessor(_target), _reference);
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}
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TEST_SUITE_END() // S16
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template <typename T>
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using NEElementwiseSquaredDiffQuantizedFixture = ElementwiseSquaredDiffValidationQuantizedFixture<Tensor, Accessor, NEElementwiseSquaredDiff, T>;
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TEST_SUITE(Quantized)
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TEST_SUITE(QASYMM8)
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FIXTURE_DATA_TEST_CASE(RunSmall, NEElementwiseSquaredDiffQuantizedFixture<uint8_t>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallShapes(),
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ElementwiseSquaredDiffQASYMM8Dataset),
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framework::dataset::make("QuantizationInfo", { QuantizationInfo(5.f / 255.f, 20) })),
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framework::dataset::make("QuantizationInfo", { QuantizationInfo(2.f / 255.f, 10) })),
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framework::dataset::make("QuantizationInfo", { QuantizationInfo(1.f / 255.f, 5) }))
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)
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{
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// Validate output
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validate(Accessor(_target), _reference, tolerance_fp32, 0.01);
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}
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template <typename T>
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using NEElementwiseSquaredDiffQuantizedBroadcastFixture = ElementwiseSquaredDiffQuantizedBroadcastValidationFixture<Tensor, Accessor, NEElementwiseSquaredDiff, T>;
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FIXTURE_DATA_TEST_CASE(RunSmallBroadcast, NEElementwiseSquaredDiffQuantizedBroadcastFixture<uint8_t>, framework::DatasetMode::PRECOMMIT,
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combine(combine(combine(combine(datasets::SmallShapesBroadcast(),
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ElementwiseSquaredDiffQASYMM8Dataset),
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framework::dataset::make("QuantizationInfo", { QuantizationInfo(5.f / 255.f, 20) })),
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framework::dataset::make("QuantizationInfo", { QuantizationInfo(2.f / 255.f, 10) })),
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framework::dataset::make("QuantizationInfo", { QuantizationInfo(1.f / 255.f, 5) })))
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{
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// Validate output
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validate(Accessor(_target), _reference);
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}
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TEST_SUITE_END()
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TEST_SUITE(QASYMM8_SIGNED)
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FIXTURE_DATA_TEST_CASE(RunSmall, NEElementwiseSquaredDiffQuantizedFixture<int8_t>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallShapes(),
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ElementwiseSquaredDiffQASYMM8SignedDataset),
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framework::dataset::make("QuantizationInfo", { QuantizationInfo(1.f, 5) })),
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framework::dataset::make("QuantizationInfo", { QuantizationInfo(.5f, 5) })),
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framework::dataset::make("QuantizationInfo", { QuantizationInfo(.2f, 5) })))
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{
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// Validate output
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validate(Accessor(_target), _reference);
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}
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TEST_SUITE_END()
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TEST_SUITE_END()
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TEST_SUITE(Float)
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#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
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TEST_SUITE(F16)
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FIXTURE_DATA_TEST_CASE(RunSmall, NEElementwiseSquaredDiffFixture<half>, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), ElementwiseSquaredDiffFP16Dataset))
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{
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// Validate output
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validate(Accessor(_target), _reference, tolerance_fp16, 0.01);
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}
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TEST_SUITE_END() // F16
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#endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */
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TEST_SUITE(F32)
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FIXTURE_DATA_TEST_CASE(RunSmall, NEElementwiseSquaredDiffFixture<float>, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), ElementwiseSquaredDiffFP32Dataset))
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{
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// Validate output
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validate(Accessor(_target), _reference);
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}
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template <typename T>
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using NEElementwiseSquaredDiffBroadcastFixture = ElementwiseSquaredDiffBroadcastValidationFixture<Tensor, Accessor, NEElementwiseSquaredDiff, T>;
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FIXTURE_DATA_TEST_CASE(RunSmallBroadcast, NEElementwiseSquaredDiffBroadcastFixture<float>, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapesBroadcast(),
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ElementwiseSquaredDiffFP32Dataset))
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{
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// Validate output
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validate(Accessor(_target), _reference);
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}
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FIXTURE_DATA_TEST_CASE(RunLargeBroadcast, NEElementwiseSquaredDiffBroadcastFixture<float>, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapesBroadcast(),
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ElementwiseSquaredDiffFP32Dataset))
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{
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// Validate output
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validate(Accessor(_target), _reference);
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}
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TEST_SUITE_END() // F32
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TEST_SUITE_END() // Float
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TEST_SUITE_END() // ElementwiseSquaredDiff
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TEST_SUITE_END() // NEON
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} // namespace validation
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} // namespace test
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} // namespace arm_compute
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