123 lines
4.1 KiB
C++
123 lines
4.1 KiB
C++
/*
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* Copyright (c) 2017 Arm Limited.
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*
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* SPDX-License-Identifier: MIT
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*
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* Permission is hereby granted, free of charge, to any person obtaining a copy
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* of this software and associated documentation files (the "Software"), to
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* deal in the Software without restriction, including without limitation the
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* rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
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* sell copies of the Software, and to permit persons to whom the Software is
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* furnished to do so, subject to the following conditions:
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*
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* The above copyright notice and this permission notice shall be included in all
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* copies or substantial portions of the Software.
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*
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* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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* SOFTWARE.
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*/
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#ifndef ARM_COMPUTE_TEST_MIN_MAX_LOCATION_FIXTURE
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#define ARM_COMPUTE_TEST_MIN_MAX_LOCATION_FIXTURE
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#include "arm_compute/core/TensorShape.h"
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#include "arm_compute/core/Types.h"
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#include "tests/AssetsLibrary.h"
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#include "tests/Globals.h"
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#include "tests/Types.h"
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#include "tests/framework/Asserts.h"
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#include "tests/framework/Fixture.h"
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#include "tests/validation/reference/MinMaxLocation.h"
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namespace arm_compute
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{
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namespace test
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{
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namespace validation
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{
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template <typename TensorType, typename AccessorType, typename ArrayType, typename ArrayAccessorType, typename FunctionType, typename T>
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class MinMaxLocationValidationFixture : public framework::Fixture
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{
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public:
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using target_type = typename std::conditional<std::is_integral<T>::value, int32_t, float>::type;
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template <typename...>
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void setup(TensorShape shape, DataType data_type)
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{
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_target = compute_target(shape, data_type);
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_reference = compute_reference(shape, data_type);
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}
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protected:
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template <typename U>
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void fill(U &&tensor)
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{
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library->fill_tensor_uniform(tensor, 0);
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}
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MinMaxLocationValues<target_type> compute_target(const TensorShape &shape, DataType data_type)
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{
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MinMaxLocationValues<target_type> target;
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ArrayType min_loc(shape.total_size());
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ArrayType max_loc(shape.total_size());
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// Create tensors
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TensorType src = create_tensor<TensorType>(shape, data_type);
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// Create and configure function
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FunctionType min_max_loc;
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min_max_loc.configure(&src, &target.min, &target.max, &min_loc, &max_loc);
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// Allocate tensors
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src.allocator()->allocate();
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ARM_COMPUTE_EXPECT(!src.info()->is_resizable(), framework::LogLevel::ERRORS);
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// Fill tensors
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fill(AccessorType(src));
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// Compute function
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min_max_loc.run();
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// Create accessor objects for mapping operations
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ArrayAccessorType min_loc_accessor(min_loc);
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ArrayAccessorType max_loc_accessor(max_loc);
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// Move min Coordinates2D values from ArrayType to vector
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for(size_t i = 0; i < min_loc.num_values(); ++i)
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{
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target.min_loc.push_back(std::move(min_loc_accessor.at(i)));
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}
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// Move max Coordinates2D values from ArrayType to vector
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for(size_t i = 0; i < max_loc.num_values(); ++i)
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{
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target.max_loc.push_back(std::move(max_loc_accessor.at(i)));
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}
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return target;
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}
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MinMaxLocationValues<T> compute_reference(const TensorShape &shape, DataType data_type)
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{
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// Create reference
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SimpleTensor<T> src{ shape, data_type };
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// Fill reference
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fill(src);
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return reference::min_max_location<T>(src);
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}
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MinMaxLocationValues<target_type> _target{};
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MinMaxLocationValues<T> _reference{};
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};
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} // namespace validation
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} // namespace test
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} // namespace arm_compute
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#endif /* ARM_COMPUTE_TEST_MIN_MAX_LOCATION_FIXTURE */
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