| /* |
| * Copyright (c) 2017-2020 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/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: |
| 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 })); |
| |
| /** Zero padding test */ |
| bool validate_zero_padding(unsigned int width, unsigned int height, unsigned int channels, unsigned int batches, const ActivationLayerInfo &act_info, DataType data_type) |
| { |
| TensorShape shape(width, height, channels, batches); |
| |
| // Create tensors |
| CLTensor src = create_tensor<CLTensor>(shape, data_type); |
| CLTensor dst = create_tensor<CLTensor>(shape, data_type); |
| |
| src.info()->set_quantization_info(QuantizationInfo(1.f / 256.f, 0)); |
| dst.info()->set_quantization_info(QuantizationInfo(1.f / 256.f, 0)); |
| |
| ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS); |
| ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS); |
| |
| // Create and configure function |
| CLActivationLayer act; |
| act.configure(&src, &dst, act_info); |
| |
| // Padding can be added along rhs and bias's X dimension |
| return src.info()->padding().empty() && dst.info()->padding().empty(); |
| } |
| } // 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); |
| } |
| |
| /** Validate zero padding tests |
| * |
| * A series of validation tests to check that no padding is added as part of configuration for 4 different scenarios. |
| * |
| * Checks performed in order: |
| * - First dimension multiple of 16 |
| * - First dimension non-multiple of 16 |
| * - First dimension less than 16 (vec_size for qasymm8) but multiple |
| * - First dimension less than 16 (vec_size for qasymm8) non-multiple |
| * - Tensor with only one element |
| */ |
| DATA_TEST_CASE(ValidateZeroPadding, framework::DatasetMode::ALL, zip( |
| framework::dataset::make("Width", { 32U, 37U, 12U, 13U, 1U }), |
| framework::dataset::make("DataType", { DataType::F32, DataType::QASYMM8 })), |
| width, data_type) |
| { |
| const bool one_elem = (width == 1U); |
| bool status = validate_zero_padding(width, one_elem ? 1U : 17U, one_elem ? 1U : 7U, one_elem ? 1U : 2U, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU, 1U, 6U), data_type); |
| ARM_COMPUTE_EXPECT(status, 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))), |
| 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 |