| /* |
| * 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 |