/* * Copyright (c) 2020 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/functions/CLLogicalAnd.h" #include "arm_compute/runtime/CL/functions/CLLogicalNot.h" #include "arm_compute/runtime/CL/functions/CLLogicalOr.h" #include "arm_compute/runtime/Tensor.h" #include "arm_compute/runtime/TensorAllocator.h" #include "tests/CL/CLAccessor.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/LogicalFixture.h" namespace { using namespace arm_compute; const auto correct_shape = TensorShape(1, 2, 3, 4); // target shape to check against const auto wrong_shape = TensorShape(1, 2, 2, 4); // wrong shape to check validate logic const auto correct_dt = DataType::U8; // correct data type to check against const auto wrong_dt = DataType::F32; // wrong data type to check validate logic } namespace arm_compute { namespace test { namespace validation { TEST_SUITE(CL) TEST_SUITE(LogicalOr) TEST_SUITE(Validate) TEST_CASE(NullPtr, framework::DatasetMode::ALL) { Status s = CLLogicalOr::validate(nullptr, nullptr, nullptr); ARM_COMPUTE_EXPECT((bool)s == false, framework::LogLevel::ERRORS); } TEST_CASE(WrongDataType, framework::DatasetMode::ALL) { TensorInfo in1{ correct_shape, 1, correct_dt }; TensorInfo in2{ correct_shape, 1, wrong_dt }; TensorInfo out{ correct_shape, 1, correct_dt }; Status s = CLLogicalOr::validate(&in1, &in2, &out); ARM_COMPUTE_EXPECT((bool)s == false, framework::LogLevel::ERRORS); } TEST_SUITE_END() // Validate template using CLLogicalOrFixture = LogicalOrValidationFixture; FIXTURE_DATA_TEST_CASE(RunSmall, CLLogicalOrFixture, framework::DatasetMode::ALL, zip(datasets::SmallShapes(), datasets::SmallShapes())) { // Validate output validate(CLAccessor(_target), _reference); } FIXTURE_DATA_TEST_CASE(RunSmallBroadcast, CLLogicalOrFixture, framework::DatasetMode::ALL, datasets::SmallShapesBroadcast()) { // Validate output validate(CLAccessor(_target), _reference); } TEST_SUITE_END() // LogicalOr TEST_SUITE(LogicalAnd) TEST_SUITE(Validate) TEST_CASE(NullPtr, framework::DatasetMode::ALL) { Status s = CLLogicalAnd::validate(nullptr, nullptr, nullptr); ARM_COMPUTE_EXPECT((bool)s == false, framework::LogLevel::ERRORS); } TEST_CASE(WrongDataType, framework::DatasetMode::ALL) { TensorInfo in1{ correct_shape, 1, correct_dt }; TensorInfo in2{ correct_shape, 1, wrong_dt }; TensorInfo out{ correct_shape, 1, correct_dt }; Status s = CLLogicalAnd::validate(&in1, &in2, &out); ARM_COMPUTE_EXPECT((bool)s == false, framework::LogLevel::ERRORS); } TEST_SUITE_END() // Validate template using CLLogicalAndFixture = LogicalAndValidationFixture; FIXTURE_DATA_TEST_CASE(RunSmall, CLLogicalAndFixture, framework::DatasetMode::ALL, zip(datasets::SmallShapes(), datasets::SmallShapes())) { // Validate output validate(CLAccessor(_target), _reference); } FIXTURE_DATA_TEST_CASE(RunSmallBroadcast, CLLogicalAndFixture, framework::DatasetMode::ALL, datasets::SmallShapesBroadcast()) { // Validate output validate(CLAccessor(_target), _reference); } TEST_SUITE_END() // LogicalAnd TEST_SUITE(LogicalNot) TEST_SUITE(Validate) TEST_CASE(NullPtr, framework::DatasetMode::ALL) { Status s = CLLogicalNot::validate(nullptr, nullptr); ARM_COMPUTE_EXPECT((bool)s == false, framework::LogLevel::ERRORS); } TEST_CASE(WrongDataType, framework::DatasetMode::ALL) { TensorInfo in{ correct_shape, 1, correct_dt }; TensorInfo out{ correct_shape, 1, wrong_dt }; Status s = CLLogicalNot::validate(&in, &out); ARM_COMPUTE_EXPECT((bool)s == false, framework::LogLevel::ERRORS); in = TensorInfo{ correct_shape, 1, wrong_dt }; out = TensorInfo{ correct_shape, 1, correct_dt }; s = CLLogicalNot::validate(&in, &out); ARM_COMPUTE_EXPECT((bool)s == false, framework::LogLevel::ERRORS); in = TensorInfo{ correct_shape, 1, wrong_dt }; out = TensorInfo{ correct_shape, 1, wrong_dt }; s = CLLogicalNot::validate(&in, &out); ARM_COMPUTE_EXPECT((bool)s == false, framework::LogLevel::ERRORS); } TEST_CASE(WrongShape, framework::DatasetMode::ALL) { TensorInfo in{ correct_shape, 1, correct_dt }; TensorInfo out{ wrong_shape, 1, correct_dt }; Status s = CLLogicalNot::validate(&in, &out); ARM_COMPUTE_EXPECT((bool)s == false, framework::LogLevel::ERRORS); } TEST_SUITE_END() // Validate template using CLLogicalNotFixture = LogicalNotValidationFixture; FIXTURE_DATA_TEST_CASE(RunSmall, CLLogicalNotFixture, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), framework::dataset::make("DataType", DataType::U8))) { // Validate output validate(CLAccessor(_target), _reference); } TEST_SUITE_END() // LogicalNot TEST_SUITE_END() // CL } // namespace validation } // namespace test } // namespace arm_compute