| /* |
| * Copyright (c) 2018-2019 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/NEElementwiseOperations.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); |
| #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC |
| RelativeTolerance<float> tolerance_fp16(0.01f); |
| #endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */ |
| |
| /** Input data sets **/ |
| const auto ElementwiseSquaredDiffQASYMM8Dataset = combine(combine(framework::dataset::make("DataType", DataType::QASYMM8), framework::dataset::make("DataType", DataType::QASYMM8)), |
| framework::dataset::make("DataType", |
| DataType::QASYMM8)); |
| /** Input data sets **/ |
| const auto ElementwiseSquaredDiffS32Dataset = combine(combine(framework::dataset::make("DataType", DataType::S32), framework::dataset::make("DataType", DataType::S32)), |
| framework::dataset::make("DataType", |
| DataType::S32)); |
| const auto ElementwiseSquaredDiffS16Dataset = combine(combine(framework::dataset::make("DataType", { DataType::S16 }), framework::dataset::make("DataType", DataType::S16)), |
| framework::dataset::make("DataType", DataType::S16)); |
| #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC |
| const auto ElementwiseSquaredDiffFP16Dataset = 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 */ |
| const auto ElementwiseSquaredDiffFP32Dataset = combine(combine(framework::dataset::make("DataType", DataType::F32), framework::dataset::make("DataType", DataType::F32)), |
| framework::dataset::make("DataType", DataType::F32)); |
| } // namespace |
| |
| TEST_SUITE(NEON) |
| TEST_SUITE(ElementwiseSquaredDiff) |
| |
| template <typename T> |
| using NEElementwiseSquaredDiffFixture = ElementwiseSquaredDiffValidationFixture<Tensor, Accessor, NEElementwiseSquaredDiff, T>; |
| |
| // *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::S32), |
| TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::S32), |
| TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S32), // 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::S32), |
| TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::S32), |
| 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::S32), |
| TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::S32), |
| TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S32), |
| TensorInfo(TensorShape(48U, 11U, 2U), 1, DataType::F32), |
| })), |
| framework::dataset::make("Expected", { true, true, true, false, false})), |
| input1_info, input2_info, output_info, expected) |
| { |
| ARM_COMPUTE_EXPECT(bool(NEElementwiseSquaredDiff::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(S32) |
| DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, datasets::SmallShapes(), |
| shape) |
| { |
| // Create tensors |
| Tensor ref_src1 = create_tensor<Tensor>(shape, DataType::S32); |
| Tensor ref_src2 = create_tensor<Tensor>(shape, DataType::S32); |
| Tensor dst = create_tensor<Tensor>(shape, DataType::S32); |
| |
| // Create and Configure function |
| NEElementwiseSquaredDiff add; |
| add.configure(&ref_src1, &ref_src2, &dst); |
| |
| // Validate valid region |
| const ValidRegion valid_region = shape_to_valid_region(shape); |
| validate(dst.info()->valid_region(), valid_region); |
| } |
| |
| FIXTURE_DATA_TEST_CASE(RunSmall, NEElementwiseSquaredDiffFixture<int32_t>, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), ElementwiseSquaredDiffS32Dataset)) |
| { |
| // Validate output |
| validate(Accessor(_target), _reference); |
| } |
| TEST_SUITE_END() // S32 |
| |
| TEST_SUITE(S16) |
| DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), framework::dataset::make("DataType", { DataType::S16 })), |
| shape, data_type) |
| { |
| // Create tensors |
| Tensor ref_src1 = create_tensor<Tensor>(shape, data_type); |
| Tensor ref_src2 = create_tensor<Tensor>(shape, DataType::S16); |
| Tensor dst = create_tensor<Tensor>(shape, DataType::S16); |
| |
| // Create and Configure function |
| NEElementwiseSquaredDiff add; |
| add.configure(&ref_src1, &ref_src2, &dst); |
| |
| // Validate valid region |
| const ValidRegion valid_region = shape_to_valid_region(shape); |
| validate(dst.info()->valid_region(), valid_region); |
| } |
| |
| FIXTURE_DATA_TEST_CASE(RunSmall, NEElementwiseSquaredDiffFixture<int16_t>, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), ElementwiseSquaredDiffS16Dataset)) |
| { |
| // Validate output |
| validate(Accessor(_target), _reference); |
| } |
| TEST_SUITE_END() // S16 |
| |
| template <typename T> |
| using NEElementwiseSquaredDiffQuantizedFixture = ElementwiseSquaredDiffValidationQuantizedFixture<Tensor, Accessor, NEElementwiseSquaredDiff, T>; |
| |
| TEST_SUITE(Quantized) |
| TEST_SUITE(QASYMM8) |
| DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, datasets::SmallShapes(), |
| shape) |
| { |
| // Create tensors |
| Tensor ref_src1 = create_tensor<Tensor>(shape, DataType::QASYMM8); |
| Tensor ref_src2 = create_tensor<Tensor>(shape, DataType::QASYMM8); |
| Tensor dst = create_tensor<Tensor>(shape, DataType::QASYMM8); |
| |
| // Create and Configure function |
| NEElementwiseMin add; |
| add.configure(&ref_src1, &ref_src2, &dst); |
| |
| // Validate valid region |
| const ValidRegion valid_region = shape_to_valid_region(shape); |
| validate(dst.info()->valid_region(), valid_region); |
| } |
| |
| FIXTURE_DATA_TEST_CASE(RunSmall, NEElementwiseSquaredDiffQuantizedFixture<uint8_t>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallShapes(), |
| ElementwiseSquaredDiffQASYMM8Dataset), |
| 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); |
| } |
| template <typename T> |
| using NEElementwiseSquaredDiffQuantizedBroadcastFixture = ElementwiseSquaredDiffQuantizedBroadcastValidationFixture<Tensor, Accessor, NEElementwiseSquaredDiff, T>; |
| |
| FIXTURE_DATA_TEST_CASE(RunSmallBroadcast, NEElementwiseSquaredDiffQuantizedBroadcastFixture<uint8_t>, framework::DatasetMode::PRECOMMIT, |
| combine(combine(combine(combine(datasets::SmallShapesBroadcast(), |
| ElementwiseSquaredDiffQASYMM8Dataset), |
| 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); |
| } |
| TEST_SUITE_END() |
| TEST_SUITE_END() |
| |
| TEST_SUITE(Float) |
| #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC |
| TEST_SUITE(F16) |
| FIXTURE_DATA_TEST_CASE(RunSmall, NEElementwiseSquaredDiffFixture<half>, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), ElementwiseSquaredDiffFP16Dataset)) |
| { |
| // Validate output |
| validate(Accessor(_target), _reference, tolerance_fp16, 0.01); |
| } |
| TEST_SUITE_END() // F16 |
| #endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */ |
| |
| TEST_SUITE(F32) |
| DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, datasets::SmallShapes(), |
| shape) |
| { |
| // Create tensors |
| Tensor ref_src1 = create_tensor<Tensor>(shape, DataType::F32); |
| Tensor ref_src2 = create_tensor<Tensor>(shape, DataType::F32); |
| Tensor dst = create_tensor<Tensor>(shape, DataType::F32); |
| |
| // Create and Configure function |
| NEElementwiseSquaredDiff add; |
| add.configure(&ref_src1, &ref_src2, &dst); |
| |
| // Validate valid region |
| const ValidRegion valid_region = shape_to_valid_region(shape); |
| validate(dst.info()->valid_region(), valid_region); |
| } |
| |
| FIXTURE_DATA_TEST_CASE(RunSmall, NEElementwiseSquaredDiffFixture<float>, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), ElementwiseSquaredDiffFP32Dataset)) |
| { |
| // Validate output |
| validate(Accessor(_target), _reference); |
| } |
| template <typename T> |
| using NEElementwiseSquaredDiffBroadcastFixture = ElementwiseSquaredDiffBroadcastValidationFixture<Tensor, Accessor, NEElementwiseSquaredDiff, T>; |
| |
| FIXTURE_DATA_TEST_CASE(RunSmallBroadcast, NEElementwiseSquaredDiffBroadcastFixture<float>, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapesBroadcast(), |
| ElementwiseSquaredDiffFP32Dataset)) |
| { |
| // Validate output |
| validate(Accessor(_target), _reference); |
| } |
| |
| FIXTURE_DATA_TEST_CASE(RunLargeBroadcast, NEElementwiseSquaredDiffBroadcastFixture<float>, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapesBroadcast(), |
| ElementwiseSquaredDiffFP32Dataset)) |
| { |
| // Validate output |
| validate(Accessor(_target), _reference); |
| } |
| TEST_SUITE_END() // F32 |
| TEST_SUITE_END() // Float |
| |
| TEST_SUITE_END() // ElementwiseSquaredDiff |
| TEST_SUITE_END() // NEON |
| } // namespace validation |
| } // namespace test |
| } // namespace arm_compute |