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+/*
+ * 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/CPP/MinMaxLocation.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace validation
+{
+template <typename TensorType, typename AccessorType, typename ArrayType, typename ArrayAccessorType, typename FunctionType, typename T>
+class MinMaxLocationValidationFixture : public framework::Fixture
+{
+public:
+ using target_type = typename std::conditional<std::is_integral<T>::value, int32_t, float>::type;
+
+ template <typename...>
+ void setup(TensorShape shape, DataType data_type)
+ {
+ _target = compute_target(shape, data_type);
+ _reference = compute_reference(shape, data_type);
+ }
+
+protected:
+ template <typename U>
+ void fill(U &&tensor)
+ {
+ library->fill_tensor_uniform(tensor, 0);
+ }
+
+ MinMaxLocationValues<target_type> compute_target(const TensorShape &shape, DataType data_type)
+ {
+ MinMaxLocationValues<target_type> target;
+
+ ArrayType min_loc(shape.total_size());
+ ArrayType max_loc(shape.total_size());
+
+ // Create tensors
+ TensorType src = create_tensor<TensorType>(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<T> compute_reference(const TensorShape &shape, DataType data_type)
+ {
+ // Create reference
+ SimpleTensor<T> src{ shape, data_type };
+
+ // Fill reference
+ fill(src);
+
+ return reference::min_max_location<T>(src);
+ }
+
+ MinMaxLocationValues<target_type> _target{};
+ MinMaxLocationValues<T> _reference{};
+};
+} // namespace validation
+} // namespace test
+} // namespace arm_compute
+#endif /* ARM_COMPUTE_TEST_MIN_MAX_LOCATION_FIXTURE */