| /* |
| * 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/CL/CLTensor.h" |
| #include "arm_compute/runtime/CL/CLTensorAllocator.h" |
| #include "arm_compute/runtime/CL/functions/CLElementwiseOperations.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); |
| AbsoluteTolerance<float> tolerance_qsymm16(1); |
| |
| constexpr unsigned int num_elems_processed_per_iteration = 16; |
| /** Input data sets **/ |
| const auto ElementwiseSquaredDiffU8Dataset = combine(combine(framework::dataset::make("DataType", DataType::U8), framework::dataset::make("DataType", DataType::U8)), |
| framework::dataset::make("DataType", |
| DataType::U8)); |
| const auto ElementwiseSquaredDiffQASYMM8Dataset = combine(combine(framework::dataset::make("DataType", DataType::QASYMM8), framework::dataset::make("DataType", DataType::QASYMM8)), |
| framework::dataset::make("DataType", |
| DataType::QASYMM8)); |
| const auto ElementwiseSquaredDiffQSYMM16Dataset = combine(combine(framework::dataset::make("DataType", DataType::QSYMM16), framework::dataset::make("DataType", DataType::QSYMM16)), |
| framework::dataset::make("DataType", |
| DataType::QSYMM16)); |
| const auto ElementwiseSquaredDiffS16Dataset = combine(combine(framework::dataset::make("DataType", { DataType::U8, DataType::S16 }), framework::dataset::make("DataType", DataType::S16)), |
| framework::dataset::make("DataType", DataType::S16)); |
| const auto ElementwiseSquaredDiffFP16Dataset = combine(combine(framework::dataset::make("DataType", DataType::F16), framework::dataset::make("DataType", DataType::F16)), |
| framework::dataset::make("DataType", DataType::F16)); |
| 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(CL) |
| TEST_SUITE(ElementwiseSquaredDiff) |
| |
| // *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), |
| 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::U8), |
| TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), |
| 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::S16), |
| TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), |
| 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(CLElementwiseSquaredDiff::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 CLElementwiseSquaredDiffFixture = ElementwiseSquaredDiffValidationFixture<CLTensor, CLAccessor, CLElementwiseSquaredDiff, T>; |
| |
| TEST_SUITE(Integer) |
| TEST_SUITE(U8) |
| DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, datasets::SmallShapes(), |
| shape) |
| { |
| // Create tensors |
| CLTensor ref_src1 = create_tensor<CLTensor>(shape, DataType::U8); |
| CLTensor ref_src2 = create_tensor<CLTensor>(shape, DataType::U8); |
| CLTensor dst = create_tensor<CLTensor>(shape, DataType::U8); |
| |
| // Create and Configure function |
| CLElementwiseSquaredDiff sqdiff; |
| sqdiff.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); |
| |
| // Validate padding |
| const PaddingSize padding = PaddingCalculator(shape.x(), num_elems_processed_per_iteration).required_padding(); |
| validate(ref_src1.info()->padding(), padding); |
| validate(ref_src2.info()->padding(), padding); |
| validate(dst.info()->padding(), padding); |
| } |
| |
| FIXTURE_DATA_TEST_CASE(RunSmall, CLElementwiseSquaredDiffFixture<uint8_t>, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), ElementwiseSquaredDiffU8Dataset)) |
| { |
| // Validate output |
| validate(CLAccessor(_target), _reference); |
| } |
| TEST_SUITE_END() |
| |
| TEST_SUITE(S16) |
| DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), framework::dataset::make("DataType", { DataType::U8, DataType::S16 })), |
| shape, data_type) |
| { |
| // Create tensors |
| CLTensor ref_src1 = create_tensor<CLTensor>(shape, data_type); |
| CLTensor ref_src2 = create_tensor<CLTensor>(shape, DataType::S16); |
| CLTensor dst = create_tensor<CLTensor>(shape, DataType::S16); |
| |
| // Create and Configure function |
| CLElementwiseSquaredDiff sqdiff; |
| sqdiff.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); |
| |
| // Validate padding |
| const PaddingSize padding = PaddingCalculator(shape.x(), num_elems_processed_per_iteration).required_padding(); |
| validate(ref_src1.info()->padding(), padding); |
| validate(ref_src2.info()->padding(), padding); |
| validate(dst.info()->padding(), padding); |
| } |
| |
| FIXTURE_DATA_TEST_CASE(RunSmall, CLElementwiseSquaredDiffFixture<int16_t>, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), ElementwiseSquaredDiffS16Dataset)) |
| { |
| // Validate output |
| validate(CLAccessor(_target), _reference); |
| } |
| TEST_SUITE_END() |
| TEST_SUITE_END() |
| |
| template <typename T> |
| using CLElementwiseSquaredDiffQuantizedFixture = ElementwiseSquaredDiffValidationQuantizedFixture<CLTensor, CLAccessor, CLElementwiseSquaredDiff, T>; |
| |
| TEST_SUITE(Quantized) |
| TEST_SUITE(QASYMM8) |
| DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, datasets::SmallShapes(), |
| shape) |
| { |
| // Create tensors |
| CLTensor ref_src1 = create_tensor<CLTensor>(shape, DataType::QASYMM8); |
| CLTensor ref_src2 = create_tensor<CLTensor>(shape, DataType::QASYMM8); |
| CLTensor dst = create_tensor<CLTensor>(shape, DataType::QASYMM8); |
| |
| // Create and Configure function |
| CLElementwiseSquaredDiff sqdiff; |
| sqdiff.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); |
| |
| // Validate padding |
| const PaddingSize padding = PaddingCalculator(shape.x(), num_elems_processed_per_iteration).required_padding(); |
| validate(ref_src1.info()->padding(), padding); |
| validate(ref_src2.info()->padding(), padding); |
| validate(dst.info()->padding(), padding); |
| } |
| |
| FIXTURE_DATA_TEST_CASE(RunSmall, CLElementwiseSquaredDiffQuantizedFixture<uint8_t>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallShapes(), |
| ElementwiseSquaredDiffQASYMM8Dataset), |
| framework::dataset::make("Src0QInfo", { QuantizationInfo(5.f / 255.f, 20) })), |
| framework::dataset::make("Src1QInfo", { QuantizationInfo(2.f / 255.f, 10) })), |
| framework::dataset::make("OutQInfo", { QuantizationInfo(1.f / 255.f, 5) }))) |
| { |
| // Validate output |
| validate(CLAccessor(_target), _reference, tolerance_fp32, 0.01); |
| } |
| TEST_SUITE_END() |
| TEST_SUITE(QSYMM16) |
| DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, datasets::SmallShapes(), |
| shape) |
| { |
| // Create tensors |
| CLTensor ref_src1 = create_tensor<CLTensor>(shape, DataType::QSYMM16); |
| CLTensor ref_src2 = create_tensor<CLTensor>(shape, DataType::QSYMM16); |
| CLTensor dst = create_tensor<CLTensor>(shape, DataType::QSYMM16); |
| |
| // Create and Configure function |
| CLElementwiseSquaredDiff sqdiff; |
| sqdiff.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); |
| |
| // Validate padding |
| const PaddingSize padding = PaddingCalculator(shape.x(), num_elems_processed_per_iteration).required_padding(); |
| validate(ref_src1.info()->padding(), padding); |
| validate(ref_src2.info()->padding(), padding); |
| validate(dst.info()->padding(), padding); |
| } |
| |
| FIXTURE_DATA_TEST_CASE(RunSmall, CLElementwiseSquaredDiffQuantizedFixture<int16_t>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallShapes(), |
| ElementwiseSquaredDiffQSYMM16Dataset), |
| framework::dataset::make("Src0QInfo", { QuantizationInfo(1.f / 32768.f, 0), QuantizationInfo(5.f / 32768.f, 0) })), |
| framework::dataset::make("Src1QInfo", { QuantizationInfo(2.f / 32768.f, 0), QuantizationInfo(5.f / 32768.f, 0) })), |
| framework::dataset::make("OutQInfo", { QuantizationInfo(5.f / 32768.f, 0) }))) |
| { |
| // Validate output |
| validate(CLAccessor(_target), _reference, tolerance_qsymm16); |
| } |
| TEST_SUITE_END() |
| TEST_SUITE_END() |
| |
| TEST_SUITE(Float) |
| TEST_SUITE(FP16) |
| FIXTURE_DATA_TEST_CASE(RunSmall, CLElementwiseSquaredDiffFixture<half>, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), ElementwiseSquaredDiffFP16Dataset)) |
| { |
| // Validate output |
| validate(CLAccessor(_target), _reference, tolerance_fp16, 0.01); |
| } |
| TEST_SUITE_END() |
| |
| TEST_SUITE(FP32) |
| DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, datasets::SmallShapes(), |
| shape) |
| { |
| // Create tensors |
| CLTensor ref_src1 = create_tensor<CLTensor>(shape, DataType::F32); |
| CLTensor ref_src2 = create_tensor<CLTensor>(shape, DataType::F32); |
| CLTensor dst = create_tensor<CLTensor>(shape, DataType::F32); |
| |
| // Create and Configure function |
| CLElementwiseSquaredDiff sqdiff; |
| sqdiff.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); |
| |
| // Validate padding |
| const PaddingSize padding = PaddingCalculator(shape.x(), num_elems_processed_per_iteration).required_padding(); |
| validate(ref_src1.info()->padding(), padding); |
| validate(ref_src2.info()->padding(), padding); |
| validate(dst.info()->padding(), padding); |
| } |
| |
| FIXTURE_DATA_TEST_CASE(RunSmall, CLElementwiseSquaredDiffFixture<float>, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), ElementwiseSquaredDiffFP32Dataset)) |
| { |
| // Validate output |
| validate(CLAccessor(_target), _reference, tolerance_fp32); |
| } |
| template <typename T> |
| using CLElementwiseSquaredDiffBroadcastFixture = ElementwiseSquaredDiffBroadcastValidationFixture<CLTensor, CLAccessor, CLElementwiseSquaredDiff, T>; |
| |
| FIXTURE_DATA_TEST_CASE(RunSmallBroadcast, CLElementwiseSquaredDiffBroadcastFixture<float>, framework::DatasetMode::ALL, combine(datasets::SmallShapesBroadcast(), |
| ElementwiseSquaredDiffFP32Dataset)) |
| { |
| // Validate output |
| validate(CLAccessor(_target), _reference, tolerance_fp32); |
| } |
| TEST_SUITE_END() |
| TEST_SUITE_END() |
| |
| TEST_SUITE_END() // ElementwiseSquaredDiff |
| TEST_SUITE_END() // CL |
| } // namespace validation |
| } // namespace test |
| } // namespace arm_compute |
