/* * Copyright (c) 2017 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. */ #ifndef ARM_COMPUTE_TEST_MIN_MAX_LOCATION_FIXTURE #define ARM_COMPUTE_TEST_MIN_MAX_LOCATION_FIXTURE #include "arm_compute/core/TensorShape.h" #include "arm_compute/core/Types.h" #include "tests/AssetsLibrary.h" #include "tests/Globals.h" #include "tests/Types.h" #include "tests/framework/Asserts.h" #include "tests/framework/Fixture.h" #include "tests/validation/reference/MinMaxLocation.h" namespace arm_compute { namespace test { namespace validation { template class MinMaxLocationValidationFixture : public framework::Fixture { public: using target_type = typename std::conditional::value, int32_t, float>::type; template void setup(TensorShape shape, DataType data_type) { _target = compute_target(shape, data_type); _reference = compute_reference(shape, data_type); } protected: template void fill(U &&tensor) { library->fill_tensor_uniform(tensor, 0); } MinMaxLocationValues compute_target(const TensorShape &shape, DataType data_type) { MinMaxLocationValues target; ArrayType min_loc(shape.total_size()); ArrayType max_loc(shape.total_size()); // Create tensors TensorType src = create_tensor(shape, data_type); // Create and configure function FunctionType min_max_loc; min_max_loc.configure(&src, &target.min, &target.max, &min_loc, &max_loc); // Allocate tensors src.allocator()->allocate(); ARM_COMPUTE_EXPECT(!src.info()->is_resizable(), framework::LogLevel::ERRORS); // Fill tensors fill(AccessorType(src)); // Compute function min_max_loc.run(); // Create accessor objects for mapping operations ArrayAccessorType min_loc_accessor(min_loc); ArrayAccessorType max_loc_accessor(max_loc); // Move min Coordinates2D values from ArrayType to vector for(size_t i = 0; i < min_loc.num_values(); ++i) { target.min_loc.push_back(std::move(min_loc_accessor.at(i))); } // Move max Coordinates2D values from ArrayType to vector for(size_t i = 0; i < max_loc.num_values(); ++i) { target.max_loc.push_back(std::move(max_loc_accessor.at(i))); } return target; } MinMaxLocationValues compute_reference(const TensorShape &shape, DataType data_type) { // Create reference SimpleTensor src{ shape, data_type }; // Fill reference fill(src); return reference::min_max_location(src); } MinMaxLocationValues _target{}; MinMaxLocationValues _reference{}; }; } // namespace validation } // namespace test } // namespace arm_compute #endif /* ARM_COMPUTE_TEST_MIN_MAX_LOCATION_FIXTURE */