| /* | |
| * Copyright (c) 2017-2020, 2022 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/CL/CLTensor.h" | |
| #include "arm_compute/runtime/CL/CLTensorAllocator.h" | |
| #include "arm_compute/runtime/CL/functions/CLActivationLayer.h" | |
| #include "arm_compute/runtime/RuntimeContext.h" | |
| #include "tests/CL/CLAccessor.h" | |
| #include "tests/PaddingCalculator.h" | |
| #include "tests/datasets/ActivationFunctionsDataset.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/ActivationLayerFixture.h" | |
| namespace arm_compute | |
| { | |
| namespace test | |
| { | |
| namespace validation | |
| { | |
| namespace | |
| { | |
| constexpr AbsoluteTolerance<float> tolerance_qsymm16(1.f); | |
| /** Define tolerance of the activation layer. | |
| * | |
| * @param[in] activation The activation function used. | |
| * @param[in] data_type Data type. | |
| * | |
| * @return Tolerance depending on the activation function. | |
| */ | |
| AbsoluteTolerance<float> tolerance(ActivationLayerInfo::ActivationFunction activation, DataType data_type) | |
| { | |
| constexpr float epsilon = 1e-6f; | |
| switch(activation) | |
| { | |
| case ActivationLayerInfo::ActivationFunction::LINEAR: | |
| return AbsoluteTolerance<float>(data_type == DataType::F16 ? 0.2f : epsilon); | |
| case ActivationLayerInfo::ActivationFunction::SQUARE: | |
| return AbsoluteTolerance<float>(data_type == DataType::F16 ? 0.1f : epsilon); | |
| case ActivationLayerInfo::ActivationFunction::LOGISTIC: | |
| return AbsoluteTolerance<float>(data_type == DataType::F16 ? 0.001f : epsilon); | |
| case ActivationLayerInfo::ActivationFunction::LEAKY_RELU: | |
| return AbsoluteTolerance<float>(data_type == DataType::F16 ? 0.00001f : epsilon); | |
| case ActivationLayerInfo::ActivationFunction::SOFT_RELU: | |
| case ActivationLayerInfo::ActivationFunction::ELU: | |
| case ActivationLayerInfo::ActivationFunction::SQRT: | |
| case ActivationLayerInfo::ActivationFunction::GELU: | |
| return AbsoluteTolerance<float>(data_type == DataType::F16 ? 0.01f : 0.00001f); | |
| case ActivationLayerInfo::ActivationFunction::TANH: | |
| return AbsoluteTolerance<float>(data_type == DataType::F16 ? 0.001f : 0.00001f); | |
| case ActivationLayerInfo::ActivationFunction::HARD_SWISH: | |
| return AbsoluteTolerance<float>(data_type == DataType::F16 ? 0.01f : epsilon); | |
| default: | |
| return AbsoluteTolerance<float>(epsilon); | |
| } | |
| } | |
| /** CNN data types */ | |
| const auto CNNDataTypes = framework::dataset::make("DataType", | |
| { | |
| DataType::F16, | |
| DataType::F32 | |
| }); | |
| /** Input data sets. */ | |
| const auto ActivationDataset = combine(combine(framework::dataset::make("InPlace", { false, true }), datasets::ActivationFunctions()), framework::dataset::make("AlphaBeta", { 0.5f, 1.f })); | |
| } // namespace | |
| TEST_SUITE(CL) | |
| TEST_SUITE(ActivationLayer) | |
| // *INDENT-OFF* | |
| // clang-format off | |
| DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip( | |
| framework::dataset::make("InputInfo", { TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), // Mismatching data types | |
| TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), | |
| TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), | |
| TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QASYMM8), | |
| TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::QASYMM8), // Invalid quantization info | |
| TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), // Mismatching shapes | |
| TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QSYMM16), | |
| TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QSYMM16), | |
| TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QSYMM16), // Invalid activation function for QSYMM16 | |
| }), | |
| framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F16), | |
| TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), | |
| TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), | |
| TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QASYMM8), | |
| TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::QASYMM8), | |
| TensorInfo(TensorShape(30U, 11U, 2U), 1, DataType::F32), | |
| TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QSYMM16, QuantizationInfo(1.f / 32768.f, 0)), | |
| TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QSYMM16, QuantizationInfo(1.f / 32768.f, 0)), | |
| TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QSYMM16, QuantizationInfo(1.f / 32768.f, 0)), | |
| })), | |
| framework::dataset::make("ActivationInfo", { ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), | |
| ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), | |
| ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), | |
| ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU), | |
| ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::TANH), | |
| ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), | |
| ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::TANH), | |
| ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LOGISTIC), | |
| ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::SQRT), | |
| })), | |
| framework::dataset::make("Expected", { false, true, true, true, false, false, true, true, false })), | |
| input_info, output_info, act_info, expected) | |
| { | |
| ARM_COMPUTE_EXPECT(bool(CLActivationLayer::validate(&input_info.clone()->set_is_resizable(false), (output_info.total_size() == 0) ? nullptr : &output_info.clone()->set_is_resizable(false), act_info)) == expected, framework::LogLevel::ERRORS); | |
| } | |
| // clang-format on | |
| // *INDENT-ON* | |
| /** [CLActivationLayerFixture snippet] **/ | |
| template <typename T> | |
| using CLActivationLayerFixture = ActivationValidationFixture<CLTensor, CLAccessor, CLActivationLayer, T>; | |
| /** [CLActivationLayerFixture snippet] **/ | |
| TEST_SUITE(Float) | |
| TEST_SUITE(FP16) | |
| /** [CLActivationLayer Test snippet] **/ | |
| FIXTURE_DATA_TEST_CASE(RunSmall, CLActivationLayerFixture<half>, framework::DatasetMode::ALL, combine(combine(datasets::SmallShapes(), ActivationDataset), | |
| framework::dataset::make("DataType", | |
| DataType::F16))) | |
| { | |
| // Validate output | |
| validate(CLAccessor(_target), _reference, tolerance(_function, _data_type)); | |
| } | |
| /** [CLActivationLayer Test snippet] **/ | |
| TEST_SUITE_END() // FP16 | |
| TEST_SUITE(FP32) | |
| FIXTURE_DATA_TEST_CASE(RunSmall, CLActivationLayerFixture<float>, framework::DatasetMode::ALL, combine(combine(datasets::SmallShapes(), ActivationDataset), framework::dataset::make("DataType", | |
| DataType::F32))) | |
| { | |
| // Validate output | |
| validate(CLAccessor(_target), _reference, tolerance(_function, _data_type)); | |
| } | |
| TEST_SUITE_END() // FP32 | |
| TEST_SUITE_END() // Float | |
| template <typename T> | |
| using CLActivationLayerQuantizedFixture = ActivationValidationQuantizedFixture<CLTensor, CLAccessor, CLActivationLayer, T>; | |
| const auto QuantizedActivationDataset8 = combine(combine(framework::dataset::make("InPlace", { false }), | |
| concat(datasets::ActivationFunctionsQuantized(), | |
| framework::dataset::make("ActivationFunction", | |
| { ActivationLayerInfo::ActivationFunction::HARD_SWISH, ActivationLayerInfo::ActivationFunction::LEAKY_RELU }))), | |
| framework::dataset::make("AlphaBeta", { 0.5f, 1.f })); | |
| const auto QuantizedActivationDataset16 = combine(combine(framework::dataset::make("InPlace", { false }), | |
| datasets::ActivationFunctionsQuantized()), | |
| framework::dataset::make("AlphaBeta", { 0.5f, 1.f })); | |
| TEST_SUITE(Quantized) | |
| TEST_SUITE(QASYMM8) | |
| FIXTURE_DATA_TEST_CASE(RunSmall, CLActivationLayerQuantizedFixture<uint8_t>, framework::DatasetMode::ALL, combine(combine(combine(datasets::SmallShapes(), QuantizedActivationDataset8), | |
| framework::dataset::make("DataType", | |
| DataType::QASYMM8)), | |
| framework::dataset::make("QuantizationInfo", { QuantizationInfo(0.1f, 128.0f) }))) | |
| { | |
| // Validate output | |
| validate(CLAccessor(_target), _reference, tolerance(_function, _data_type)); | |
| } | |
| TEST_SUITE_END() // QASYMM8 | |
| TEST_SUITE(QASYMM8_SIGNED) | |
| FIXTURE_DATA_TEST_CASE(RunSmall, CLActivationLayerQuantizedFixture<int8_t>, framework::DatasetMode::ALL, combine(combine(combine(datasets::SmallShapes(), QuantizedActivationDataset8), | |
| framework::dataset::make("DataType", | |
| DataType::QASYMM8_SIGNED)), | |
| framework::dataset::make("QuantizationInfo", { QuantizationInfo(0.1f, 10.0f) }))) | |
| { | |
| // Validate output | |
| validate(CLAccessor(_target), _reference, tolerance(_function, _data_type)); | |
| } | |
| TEST_SUITE_END() // QASYMM8_SIGNED | |
| TEST_SUITE(QSYMM16) | |
| FIXTURE_DATA_TEST_CASE(RunSmall, CLActivationLayerQuantizedFixture<int16_t>, framework::DatasetMode::ALL, combine(combine(combine(datasets::SmallShapes(), QuantizedActivationDataset16), | |
| framework::dataset::make("DataType", | |
| DataType::QSYMM16)), | |
| framework::dataset::make("QuantizationInfo", { QuantizationInfo(1.f / 32768.f, 0) }))) | |
| { | |
| // Validate output | |
| validate(CLAccessor(_target), _reference, tolerance_qsymm16); | |
| } | |
| TEST_SUITE_END() // QSYMM16 | |
| TEST_SUITE_END() // Quantized | |
| TEST_SUITE_END() // ActivationLayer | |
| TEST_SUITE_END() // CL | |
| } // namespace validation | |
| } // namespace test | |
| } // namespace arm_compute |