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+/*
+ * Copyright (c) 2018 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_REMAP_FIXTURE
+#define ARM_COMPUTE_TEST_REMAP_FIXTURE
+
+#include "arm_compute/core/TensorShape.h"
+#include "arm_compute/core/Types.h"
+#include "tests/Globals.h"
+#include "tests/Utils.h"
+#include "tests/framework/Fixture.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace benchmark
+{
+template <typename TensorType, typename Function, typename Accessor>
+class RemapFixture : public framework::Fixture
+{
+public:
+ template <typename...>
+ void setup(const TensorShape &input_shape, InterpolationPolicy policy, DataType data_type, BorderMode border_mode)
+ {
+ std::mt19937 gen(library->seed());
+ std::uniform_int_distribution<uint8_t> distribution(0, 255);
+ const uint8_t constant_border_value = distribution(gen);
+
+ // Create tensors
+ src = create_tensor<TensorType>(input_shape, data_type);
+ map_x = create_tensor<TensorType>(input_shape, DataType::F32);
+ map_y = create_tensor<TensorType>(input_shape, DataType::F32);
+ dst = create_tensor<TensorType>(input_shape, data_type);
+
+ // Create and configure function
+ remap_func.configure(&src, &map_x, &map_y, &dst, policy, border_mode, constant_border_value);
+
+ // Allocate tensors
+ src.allocator()->allocate();
+ map_x.allocator()->allocate();
+ map_y.allocator()->allocate();
+ dst.allocator()->allocate();
+
+ // Fill tensors
+ fill(Accessor(src), 0, 0, 255);
+ fill(Accessor(map_x), 1, -5, input_shape.x() + 5);
+ fill(Accessor(map_y), 2, -5, input_shape.y() + 5);
+ }
+
+ void run()
+ {
+ remap_func.run();
+ }
+
+ void sync()
+ {
+ sync_if_necessary<TensorType>();
+ sync_tensor_if_necessary<TensorType>(dst);
+ }
+
+ void teardown()
+ {
+ src.allocator()->free();
+ map_x.allocator()->free();
+ map_y.allocator()->free();
+ dst.allocator()->free();
+ }
+
+protected:
+ template <typename U>
+ void fill(U &&tensor, int i, float min, float max)
+ {
+ std::uniform_int_distribution<> distribution((int)min, (int)max);
+ library->fill(tensor, distribution, i);
+ }
+
+private:
+ TensorType src{};
+ TensorType map_x{};
+ TensorType map_y{};
+ TensorType dst{};
+ Function remap_func{};
+};
+} // namespace benchmark
+} // namespace test
+} // namespace arm_compute
+#endif /* ARM_COMPUTE_TEST_REMAP_FIXTURE */