| /* |
| * 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/NEON/functions/NEPReluLayer.h" |
| #include "arm_compute/runtime/Tensor.h" |
| #include "arm_compute/runtime/TensorAllocator.h" |
| #include "tests/NEON/Accessor.h" |
| #include "tests/PaddingCalculator.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); |
| AbsoluteTolerance<int8_t> tolerance_s8(1); |
| |
| /** Input data sets **/ |
| 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 PReluLayerFP32Dataset = combine(combine(framework::dataset::make("DataType", DataType::F32), framework::dataset::make("DataType", DataType::F32)), |
| framework::dataset::make("DataType", DataType::F32)); |
| |
| #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC |
| RelativeTolerance<float> tolerance_fp16(0.001f); |
| |
| const auto PReluLayerFP16Dataset = combine(combine(framework::dataset::make("DataType", DataType::F16), framework::dataset::make("DataType", DataType::F16)), |
| framework::dataset::make("DataType", DataType::F16)); |
| |
| #endif // __ARM_FEATURE_FP16_VECTOR_ARITHMETIC |
| |
| } // namespace |
| |
| TEST_SUITE(NEON) |
| 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::F32), |
| TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QASYMM8), |
| TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8), // Window shrink |
| 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::F32), |
| TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QASYMM8), |
| TensorInfo(TensorShape(27U, 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::F32), |
| TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QASYMM8), |
| TensorInfo(TensorShape(27U, 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, true, false, false, false})), |
| input1_info, input2_info, output_info, expected) |
| { |
| ARM_COMPUTE_EXPECT(bool(NEPReluLayer::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* |
| |
| template <typename T> |
| using NEPReluLayerFixture = PReluLayerValidationFixture<Tensor, Accessor, NEPReluLayer, T>; |
| |
| template <typename T> |
| using NEPReluLayerQuantizedFixture = PReluLayerValidationQuantizedFixture<Tensor, Accessor, NEPReluLayer, T>; |
| |
| TEST_SUITE(Quantized) |
| TEST_SUITE(QASYMM8) |
| FIXTURE_DATA_TEST_CASE(RunSmall, NEPReluLayerQuantizedFixture<uint8_t>, framework::DatasetMode::ALL, 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(Accessor(_target), _reference, tolerance_fp32, 0.01); |
| } |
| |
| FIXTURE_DATA_TEST_CASE(RunLarge, NEPReluLayerQuantizedFixture<uint8_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::LargeShapes(), |
| 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(Accessor(_target), _reference, tolerance_fp32, 0.01); |
| } |
| TEST_SUITE_END() // QASYMM8 |
| |
| TEST_SUITE(QASYMM8_SIGNED) |
| FIXTURE_DATA_TEST_CASE(RunSmall, NEPReluLayerQuantizedFixture<int8_t>, framework::DatasetMode::ALL, combine(combine(combine(combine(datasets::SmallShapes(), |
| PReluLayerQASYMM8SignedDataset), |
| framework::dataset::make("QuantizationInfo", { QuantizationInfo(0.2f, 127) })), |
| framework::dataset::make("QuantizationInfo", { QuantizationInfo(0.1f, 64) })), |
| framework::dataset::make("QuantizationInfo", { QuantizationInfo(0.5f, -128) })) |
| |
| ) |
| { |
| // Validate output |
| validate(Accessor(_target), _reference, tolerance_s8, 0.01); |
| } |
| |
| FIXTURE_DATA_TEST_CASE(RunLarge, NEPReluLayerQuantizedFixture<int8_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::LargeShapes(), |
| PReluLayerQASYMM8SignedDataset), |
| framework::dataset::make("QuantizationInfo", { QuantizationInfo(0.5f, 20) })), |
| framework::dataset::make("QuantizationInfo", { QuantizationInfo(0.5f, 10) })), |
| framework::dataset::make("QuantizationInfo", { QuantizationInfo(0.5f, 5) })) |
| |
| ) |
| { |
| // Validate output |
| validate(Accessor(_target), _reference, tolerance_s8, 0.01); |
| } |
| TEST_SUITE_END() // QASYMM8_SIGNED |
| TEST_SUITE_END() // Quantized |
| |
| TEST_SUITE(Float) |
| #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC |
| TEST_SUITE(FP16) |
| FIXTURE_DATA_TEST_CASE(RunSmall, NEPReluLayerFixture<half>, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), PReluLayerFP16Dataset)) |
| { |
| // Validate output |
| validate(Accessor(_target), _reference, tolerance_fp16, 0.01); |
| } |
| |
| FIXTURE_DATA_TEST_CASE(RunLarge, NEPReluLayerFixture<half>, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), PReluLayerFP16Dataset)) |
| { |
| // Validate output |
| validate(Accessor(_target), _reference, tolerance_fp16, 0.01); |
| } |
| TEST_SUITE_END() // FP16 |
| #endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */ |
| |
| TEST_SUITE(FP32) |
| FIXTURE_DATA_TEST_CASE(RunSmall, NEPReluLayerFixture<float>, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), PReluLayerFP32Dataset)) |
| { |
| // Validate output |
| validate(Accessor(_target), _reference, tolerance_fp32); |
| } |
| |
| FIXTURE_DATA_TEST_CASE(RunLarge, NEPReluLayerFixture<float>, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), PReluLayerFP32Dataset)) |
| { |
| // Validate output |
| validate(Accessor(_target), _reference, tolerance_fp32); |
| } |
| |
| template <typename T> |
| using NEPReluLayerBroadcastFixture = PReluLayerBroadcastValidationFixture<Tensor, Accessor, NEPReluLayer, T>; |
| |
| FIXTURE_DATA_TEST_CASE(RunSmallBroadcast, NEPReluLayerBroadcastFixture<float>, framework::DatasetMode::ALL, combine(datasets::SmallShapesBroadcast(), |
| PReluLayerFP32Dataset)) |
| { |
| // Validate output |
| validate(Accessor(_target), _reference, tolerance_fp32); |
| } |
| |
| FIXTURE_DATA_TEST_CASE(RunLargeBroadcast, NEPReluLayerBroadcastFixture<float>, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapesBroadcast(), |
| PReluLayerFP32Dataset)) |
| { |
| // Validate output |
| validate(Accessor(_target), _reference, tolerance_fp32); |
| } |
| TEST_SUITE_END() // FP32 |
| TEST_SUITE_END() // Float |
| |
| TEST_SUITE_END() // PReluLayer |
| TEST_SUITE_END() // Neon |
| } // namespace validation |
| } // namespace test |
| } // namespace arm_compute |
