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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_LAPLACIAN_RECONSTRUCT_FIXTURE
+#define ARM_COMPUTE_TEST_LAPLACIAN_RECONSTRUCT_FIXTURE
+
+#include "arm_compute/core/TensorShape.h"
+#include "arm_compute/core/Types.h"
+#include "tests/Globals.h"
+#include "tests/Utils.h"
+#include "tests/benchmark/fixtures/LaplacianPyramidFixture.h"
+#include "tests/framework/Fixture.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace benchmark
+{
+template <typename TensorType, typename Function, typename Accessor, typename LaplacianPyramidFunc, typename PyramidType>
+class LaplacianReconstructFixture : public LaplacianPyramidFixture<TensorType, LaplacianPyramidFunc, Accessor, PyramidType>
+{
+public:
+ template <typename...>
+ void setup(TensorShape input_shape, BorderMode border_mode, size_t num_levels, Format format_in, Format format_out)
+ {
+ const uint8_t constant_border_value = 0;
+
+ LPF::setup(input_shape, border_mode, num_levels, format_out, format_in);
+ LPF::run();
+
+ // Create tensor
+ dst = create_tensor<TensorType>(input_shape, DataType::U8);
+
+ laplacian_reconstruct_func.configure(&(LPF::pyramid), &(LPF::dst), &dst, border_mode, constant_border_value);
+
+ dst.allocator()->allocate();
+ }
+
+ void run()
+ {
+ laplacian_reconstruct_func.run();
+ }
+
+ void sync()
+ {
+ sync_if_necessary<TensorType>();
+ sync_tensor_if_necessary<TensorType>(dst);
+ }
+
+private:
+ TensorType dst{};
+ Function laplacian_reconstruct_func{};
+
+ using LPF = LaplacianPyramidFixture<TensorType, LaplacianPyramidFunc, Accessor, PyramidType>;
+};
+} // namespace benchmark
+} // namespace test
+} // namespace arm_compute
+#endif /* ARM_COMPUTE_TEST_LAPLACIAN_RECONSTRUCT_FIXTURE */