244 lines
16 KiB
C++
244 lines
16 KiB
C++
/*
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* Copyright (c) 2017-2020 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/NESoftmaxLayer.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/SoftmaxLayerFixture.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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/** Tolerance for float operations */
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constexpr AbsoluteTolerance<float> tolerance_f32(0.000001f);
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RelativeTolerance<half> tolerance_f16(half(0.2));
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/** Tolerance for quantized operations */
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constexpr AbsoluteTolerance<uint8_t> tolerance_qasymm8(1);
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constexpr AbsoluteTolerance<int8_t> tolerance_qasymm8_signed(1);
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/** CNN data types */
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const auto CNNDataTypes = framework::dataset::make("DataType",
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{
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#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
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DataType::F16,
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#endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */
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DataType::F32,
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});
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} // namespace
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TEST_SUITE(NEON)
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TEST_SUITE(SoftmaxLayer)
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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(zip(
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framework::dataset::make("InputInfo", { TensorInfo(TensorShape(27U, 13U), 1, DataType::F32), // Mismatching data types
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TensorInfo(TensorShape(27U, 13U), 1, DataType::F32), // Mismatching shapes
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TensorInfo(TensorShape(27U, 13U), 1, DataType::QASYMM8, // Invalid output quantization info
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QuantizationInfo(1.f/256, 12)),
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TensorInfo(TensorShape(32U, 13U), 1, DataType::F32),
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TensorInfo(TensorShape(32U, 13U), 1, DataType::QASYMM8,
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QuantizationInfo(1.f/256, 12)),
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TensorInfo(TensorShape(32U, 13U), 1, DataType::F32),
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TensorInfo(TensorShape(32U, 13U), 1, DataType::QASYMM8, //Invalid axis high
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QuantizationInfo(1.f/256, 12)),
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TensorInfo(TensorShape(32U, 13U), 1, DataType::QASYMM8, //Invalid axis low
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QuantizationInfo(1.f/256, 12)),
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}),
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framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(27U, 13U), 1, DataType::F16),
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TensorInfo(TensorShape(27U, 11U), 1, DataType::F32),
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TensorInfo(TensorShape(27U, 13U), 1, DataType::QASYMM8,
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QuantizationInfo(1.f/256, 12)),
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TensorInfo(TensorShape(32U, 13U), 1, DataType::F32),
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TensorInfo(TensorShape(32U, 13U), 1, DataType::QASYMM8,
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QuantizationInfo(1.f/256, 0)),
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TensorInfo(TensorShape(32U, 13U), 1, DataType::F32),
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TensorInfo(TensorShape(32U, 13U), 1, DataType::QASYMM8,
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QuantizationInfo(1.f/256, 0)),
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TensorInfo(TensorShape(32U, 13U), 1, DataType::QASYMM8,
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QuantizationInfo(1.f/256, 0)),
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})),
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framework::dataset::make("beta", { 1.0,
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2.0,
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1.0,
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2.0,
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1.0,
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1.0,
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2.0,
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1.0,
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})),
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framework::dataset::make("axis", { 0,
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0,
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0,
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1,
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0,
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-1,
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2,
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-3,
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})),
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framework::dataset::make("Expected", { false, false, false, true, true, true, false, false })),
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input_info, output_info, beta, axis, expected)
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{
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ARM_COMPUTE_EXPECT(bool(NESoftmaxLayer::validate(&input_info.clone()->set_is_resizable(false), &output_info.clone()->set_is_resizable(false), beta, axis)) == 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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template <typename T>
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using NESoftmaxLayerFixture = SoftmaxValidationFixture<Tensor, Accessor, NESoftmaxLayer, T>;
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TEST_SUITE(Float)
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#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
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TEST_SUITE(FP16)
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FIXTURE_DATA_TEST_CASE(RunSmall, NESoftmaxLayerFixture<half>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Small4DShapes(),
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framework::dataset::make("DataType", DataType::F16)),
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framework::dataset::make("Beta", { 1.0f, 2.0f })),
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framework::dataset::make("Axis", { 0, 1 })))
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{
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// Validate output
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validate(Accessor(_target), _reference, tolerance_f16);
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}
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FIXTURE_DATA_TEST_CASE(RunSmall4D, NESoftmaxLayerFixture<half>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Small4DShapes(),
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framework::dataset::make("DataType", DataType::F16)),
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framework::dataset::make("Beta", { 1.0f, 2.0f })),
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framework::dataset::make("Axis", { 0, 2, -1 })))
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{
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// Validate output
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validate(Accessor(_target), _reference, tolerance_f16);
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}
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FIXTURE_DATA_TEST_CASE(RunLarge, NESoftmaxLayerFixture<half>, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::SoftmaxLayerLargeShapes(),
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framework::dataset::make("DataType", DataType::F16)),
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framework::dataset::make("Beta", { 1.0f, 2.0f })),
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framework::dataset::make("Axis", { 0 })))
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{
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// Validate output
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validate(Accessor(_target), _reference, tolerance_f16);
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}
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TEST_SUITE_END() //FP16
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#endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */
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TEST_SUITE(FP32)
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FIXTURE_DATA_TEST_CASE(RunSmall2D, NESoftmaxLayerFixture<float>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SoftmaxLayerSmallShapes(),
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framework::dataset::make("DataType", DataType::F32)),
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framework::dataset::make("Beta", { 1.0f, 2.0f })),
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framework::dataset::make("Axis", { 0, -1 })))
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{
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// Validate output
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validate(Accessor(_target), _reference, tolerance_f32);
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}
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FIXTURE_DATA_TEST_CASE(RunSmall4D, NESoftmaxLayerFixture<float>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Small4DShapes(),
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framework::dataset::make("DataType", DataType::F32)),
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framework::dataset::make("Beta", { 1.0f, 2.0f })),
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framework::dataset::make("Axis", { 0, -2, 3 })))
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{
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// Validate output
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validate(Accessor(_target), _reference, tolerance_f32);
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}
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FIXTURE_DATA_TEST_CASE(RunLarge, NESoftmaxLayerFixture<float>, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::SoftmaxLayerLargeShapes(),
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framework::dataset::make("DataType", DataType::F32)),
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framework::dataset::make("Beta", { 1.0f, 2.0f })),
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framework::dataset::make("Axis", { 0 })))
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{
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// Validate output
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validate(Accessor(_target), _reference, tolerance_f32);
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}
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TEST_SUITE_END() //FP32
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TEST_SUITE_END() //Float
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template <typename T>
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using NESoftmaxLayerQuantizedFixture = SoftmaxValidationQuantizedFixture<Tensor, Accessor, NESoftmaxLayer, T>;
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TEST_SUITE(Quantized)
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TEST_SUITE(QASYMM8)
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FIXTURE_DATA_TEST_CASE(RunSmall2D, NESoftmaxLayerQuantizedFixture<uint8_t>, framework::DatasetMode::ALL, combine(combine(combine(datasets::SoftmaxLayerSmallShapes(),
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framework::dataset::make("DataType", DataType::QASYMM8)),
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combine(framework::dataset::make("QuantizationInfo", { QuantizationInfo(0.5f, -10) }),
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framework::dataset::make("Beta", { 1.0f, 2.f }))),
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framework::dataset::make("Axis", { 0, -1 })))
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{
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// Validate output
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validate(Accessor(_target), _reference, tolerance_qasymm8);
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}
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FIXTURE_DATA_TEST_CASE(RunSmall4D, NESoftmaxLayerQuantizedFixture<uint8_t>, framework::DatasetMode::ALL, combine(combine(combine(datasets::Small4DShapes(),
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framework::dataset::make("DataType", DataType::QASYMM8)),
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combine(framework::dataset::make("QuantizationInfo", { QuantizationInfo(0.5f, -10) }),
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framework::dataset::make("Beta", { 1.0f, 2.f }))),
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framework::dataset::make("Axis", { 0, 1, -2 })))
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{
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// Validate output
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validate(Accessor(_target), _reference, tolerance_qasymm8);
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}
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FIXTURE_DATA_TEST_CASE(RunLarge, NESoftmaxLayerQuantizedFixture<uint8_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::SoftmaxLayerLargeShapes(),
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framework::dataset::make("DataType", DataType::QASYMM8)),
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combine(framework::dataset::make("QuantizationInfo", { QuantizationInfo(0.5f, -10) }),
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framework::dataset::make("Beta", { 1.0f, 2.0f }))),
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framework::dataset::make("Axis", { 0 })))
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{
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// Validate output
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validate(Accessor(_target), _reference, tolerance_qasymm8);
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}
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TEST_SUITE_END() //QASYMM8
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TEST_SUITE(QASYMM8_SIGNED)
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FIXTURE_DATA_TEST_CASE(RunSmall2D, NESoftmaxLayerQuantizedFixture<int8_t>, framework::DatasetMode::ALL, combine(combine(combine(datasets::SoftmaxLayerSmallShapes(),
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framework::dataset::make("DataType", DataType::QASYMM8_SIGNED)),
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combine(framework::dataset::make("QuantizationInfo", { QuantizationInfo(0.5f, -10) }),
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framework::dataset::make("Beta", { 1.0f, 2.f }))),
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framework::dataset::make("Axis", { 0, -1 })))
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{
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// Validate output
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validate(Accessor(_target), _reference, tolerance_qasymm8_signed);
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}
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FIXTURE_DATA_TEST_CASE(RunSmall4D, NESoftmaxLayerQuantizedFixture<int8_t>, framework::DatasetMode::ALL, combine(combine(combine(datasets::Small4DShapes(),
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framework::dataset::make("DataType", DataType::QASYMM8_SIGNED)),
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combine(framework::dataset::make("QuantizationInfo", { QuantizationInfo(0.5f, -10) }),
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framework::dataset::make("Beta", { 1.0f, 2.f }))),
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framework::dataset::make("Axis", { 0, 1, -1 })))
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{
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// Validate output
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validate(Accessor(_target), _reference, tolerance_qasymm8_signed);
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}
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TEST_SUITE_END() //QASYMM8_SIGNED
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TEST_SUITE_END() //Quantized
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TEST_SUITE_END() //SoftmaxLayer
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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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