| /* | |
| * Copyright (c) 2019-2021 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/CLPReluLayer.h" | |
| #include "tests/CL/CLAccessor.h" | |
| #include "tests/PaddingCalculator.h" | |
| #include "tests/datasets/ConvertPolicyDataset.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/ElementwiseOperationsFixture.h" | |
| namespace arm_compute | |
| { | |
| namespace test | |
| { | |
| namespace validation | |
| { | |
| namespace | |
| { | |
| RelativeTolerance<float> tolerance_fp32(0.000001f); | |
| RelativeTolerance<float> tolerance_fp16(0.001f); | |
| /** Input data sets **/ | |
| const auto PReluLayerU8Dataset = combine(combine(framework::dataset::make("DataType", DataType::U8), framework::dataset::make("DataType", DataType::U8)), | |
| framework::dataset::make("DataType", | |
| DataType::U8)); | |
| const auto PReluLayerQASYMM8Dataset = combine(combine(framework::dataset::make("DataType", DataType::QASYMM8), framework::dataset::make("DataType", DataType::QASYMM8)), | |
| framework::dataset::make("DataType", | |
| DataType::QASYMM8)); | |
| const auto PReluLayerQASYMM8SIGNEDDataset = combine(combine(framework::dataset::make("DataType", DataType::QASYMM8_SIGNED), framework::dataset::make("DataType", DataType::QASYMM8_SIGNED)), | |
| framework::dataset::make("DataType", | |
| DataType::QASYMM8_SIGNED)); | |
| const auto PReluLayerS16Dataset = combine(combine(framework::dataset::make("DataType", { DataType::S16 }), framework::dataset::make("DataType", DataType::S16)), | |
| framework::dataset::make("DataType", DataType::S16)); | |
| const auto PReluLayerFP16Dataset = combine(combine(framework::dataset::make("DataType", DataType::F16), framework::dataset::make("DataType", DataType::F16)), | |
| framework::dataset::make("DataType", DataType::F16)); | |
| const auto PReluLayerFP32Dataset = combine(combine(framework::dataset::make("DataType", DataType::F32), framework::dataset::make("DataType", DataType::F32)), | |
| framework::dataset::make("DataType", DataType::F32)); | |
| } // namespace | |
| TEST_SUITE(CL) | |
| TEST_SUITE(PReluLayer) | |
| // *INDENT-OFF* | |
| // clang-format off | |
| DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip( | |
| framework::dataset::make("Input1Info", { TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), | |
| TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), // Invalid data type combination | |
| TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), // Mismatching shapes | |
| }), | |
| framework::dataset::make("Input2Info",{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), | |
| TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S16), | |
| TensorInfo(TensorShape(48U, 11U, 2U), 1, DataType::F32), | |
| })), | |
| framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), | |
| TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), | |
| TensorInfo(TensorShape(48U, 11U, 2U), 1, DataType::F32), | |
| })), | |
| framework::dataset::make("Expected", { true, false, false})), | |
| input1_info, input2_info, output_info, expected) | |
| { | |
| ARM_COMPUTE_EXPECT(bool(CLPReluLayer::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); | |
| } | |
| // clang-format on | |
| // *INDENT-ON* | |
| TEST_SUITE(InPlace) | |
| TEST_CASE(Validate, framework::DatasetMode::ALL) | |
| { | |
| // PRelu operaotr should be able to take nullptr as output and do the in-place computation. | |
| // Shape and data type are selected randomly since they shouldn't matter | |
| const auto tensor_info = TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32); | |
| const auto result = arm_compute::CLPReluLayer::validate(&tensor_info, &tensor_info, nullptr); | |
| ARM_COMPUTE_EXPECT(bool(result) == true, framework::LogLevel::ERRORS); | |
| } | |
| SimpleTensor<float> compute_float_reference(const TensorInfo &tensor_info) | |
| { | |
| SimpleTensor<float> ref_src1{ tensor_info.tensor_shape(), tensor_info.data_type() }; | |
| SimpleTensor<float> ref_src2{ tensor_info.tensor_shape(), tensor_info.data_type() }; | |
| SimpleTensor<float> ref_dst{ tensor_info.tensor_shape(), tensor_info.data_type() }; | |
| library->fill_tensor_uniform(ref_src1, 0); | |
| library->fill_tensor_uniform(ref_src2, 1); | |
| return reference::arithmetic_operation<float>(ArithmeticOperation::PRELU, ref_src1, ref_src2, ref_dst); | |
| } | |
| void compute_float_target_in_place(CLTensor &src1, CLTensor &src2, bool use_nullptr_output) | |
| { | |
| auto fn = arm_compute::CLPReluLayer{}; | |
| fn.configure(&src1, &src2, use_nullptr_output ? nullptr : &src1); | |
| src1.allocator()->allocate(); | |
| src2.allocator()->allocate(); | |
| library->fill_tensor_uniform(CLAccessor(src1), 0); | |
| library->fill_tensor_uniform(CLAccessor(src2), 1); | |
| fn.run(); | |
| } | |
| TEST_CASE(ComputeWithNullPtr, framework::DatasetMode::ALL) | |
| { | |
| const auto tensor_info = TensorInfo(TensorShape(33U, 13U, 2U), 1, DataType::F32); | |
| auto src1 = create_tensor<CLTensor>(tensor_info); | |
| auto src2 = create_tensor<CLTensor>(tensor_info); | |
| compute_float_target_in_place(src1, src2, true); | |
| validate(CLAccessor(src1), compute_float_reference(tensor_info)); | |
| } | |
| TEST_CASE(ComputeWithSameTensor, framework::DatasetMode::ALL) | |
| { | |
| const auto tensor_info = TensorInfo(TensorShape(33U, 13U, 2U), 1, DataType::F32); | |
| auto src1 = create_tensor<CLTensor>(tensor_info); | |
| auto src2 = create_tensor<CLTensor>(tensor_info); | |
| compute_float_target_in_place(src1, src2, false); | |
| validate(CLAccessor(src1), compute_float_reference(tensor_info)); | |
| } | |
| TEST_SUITE_END() // InPlace | |
| template <typename T> | |
| using CLPReluLayerFixture = PReluLayerValidationFixture<CLTensor, CLAccessor, CLPReluLayer, T>; | |
| TEST_SUITE(U8) | |
| FIXTURE_DATA_TEST_CASE(RunSmall, CLPReluLayerFixture<uint8_t>, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), PReluLayerU8Dataset)) | |
| { | |
| // Validate output | |
| validate(CLAccessor(_target), _reference); | |
| } | |
| TEST_SUITE_END() | |
| template <typename T> | |
| using CLPReluLayerQuantizedFixture = PReluLayerValidationQuantizedFixture<CLTensor, CLAccessor, CLPReluLayer, T>; | |
| TEST_SUITE(Quantized) | |
| TEST_SUITE(QASYMM8) | |
| FIXTURE_DATA_TEST_CASE(RunSmall, CLPReluLayerQuantizedFixture<uint8_t>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallShapes(), | |
| PReluLayerQASYMM8Dataset), | |
| framework::dataset::make("QuantizationInfo", { QuantizationInfo(5.f / 255.f, 20) })), | |
| framework::dataset::make("QuantizationInfo", { QuantizationInfo(2.f / 255.f, 10) })), | |
| framework::dataset::make("QuantizationInfo", { QuantizationInfo(1.f / 255.f, 5) })) | |
| ) | |
| { | |
| // Validate output | |
| validate(CLAccessor(_target), _reference); | |
| } | |
| TEST_SUITE_END() | |
| TEST_SUITE(QASYMM8_SIGNED) | |
| FIXTURE_DATA_TEST_CASE(RunSmall, CLPReluLayerQuantizedFixture<int8_t>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallShapes(), | |
| PReluLayerQASYMM8SIGNEDDataset), | |
| framework::dataset::make("QuantizationInfo", { QuantizationInfo(5.f / 127.f, 20) })), | |
| framework::dataset::make("QuantizationInfo", { QuantizationInfo(2.f / 127.f, 10) })), | |
| framework::dataset::make("QuantizationInfo", { QuantizationInfo(1.f / 127.f, 5) })) | |
| ) | |
| { | |
| // Validate output | |
| validate(CLAccessor(_target), _reference); | |
| } | |
| TEST_SUITE_END() | |
| TEST_SUITE_END() | |
| TEST_SUITE(S16) | |
| FIXTURE_DATA_TEST_CASE(RunSmall, CLPReluLayerFixture<int16_t>, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), PReluLayerS16Dataset)) | |
| { | |
| // Validate output | |
| validate(CLAccessor(_target), _reference); | |
| } | |
| FIXTURE_DATA_TEST_CASE(RunOneDimensional, CLPReluLayerFixture<int16_t>, framework::DatasetMode::ALL, combine(framework::dataset::make("Shape", TensorShape(1U, 16U)), PReluLayerS16Dataset)) | |
| { | |
| // Validate output | |
| validate(CLAccessor(_target), _reference); | |
| } | |
| TEST_SUITE_END() | |
| TEST_SUITE(Float) | |
| TEST_SUITE(FP16) | |
| FIXTURE_DATA_TEST_CASE(RunSmall, CLPReluLayerFixture<half>, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), PReluLayerFP16Dataset)) | |
| { | |
| // Validate output | |
| validate(CLAccessor(_target), _reference, tolerance_fp16, 0.01); | |
| } | |
| TEST_SUITE_END() | |
| TEST_SUITE(FP32) | |
| FIXTURE_DATA_TEST_CASE(RunSmall, CLPReluLayerFixture<float>, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), PReluLayerFP32Dataset)) | |
| { | |
| // Validate output | |
| validate(CLAccessor(_target), _reference, tolerance_fp32); | |
| } | |
| template <typename T> | |
| using CLPReluLayerBroadcastFixture = PReluLayerBroadcastValidationFixture<CLTensor, CLAccessor, CLPReluLayer, T>; | |
| FIXTURE_DATA_TEST_CASE(RunSmallBroadcast, CLPReluLayerBroadcastFixture<float>, framework::DatasetMode::ALL, combine(datasets::SmallShapesBroadcast(), | |
| PReluLayerFP32Dataset)) | |
| { | |
| // Validate output | |
| validate(CLAccessor(_target), _reference, tolerance_fp32); | |
| } | |
| TEST_SUITE_END() | |
| TEST_SUITE_END() | |
| TEST_SUITE_END() | |
| TEST_SUITE_END() | |
| } // namespace validation | |
| } // namespace test | |
| } // namespace arm_compute |