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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_SHAPE_DATASETS_H__
+#define __ARM_COMPUTE_TEST_SHAPE_DATASETS_H__
+
+#include "arm_compute/core/TensorShape.h"
+
+#include <type_traits>
+
+#ifdef BOOST
+#include "boost_wrapper.h"
+#endif
+
+namespace arm_compute
+{
+namespace test
+{
+/** Abstract data set containing tensor shapes.
+ *
+ * Can be used as input for Boost data test cases to automatically run a test
+ * case on different tensor shapes.
+ */
+template <unsigned int Size>
+class ShapeDataset
+{
+public:
+ /** Type of the samples in the data set. */
+ using sample = TensorShape;
+
+ /** Dimensionality of the data set. */
+ enum
+ {
+ arity = 1
+ };
+
+ /** Number of samples in the data set. */
+#ifdef BOOST
+ boost::unit_test::data::size_t size() const
+#else
+ unsigned int size() const
+#endif
+ {
+ return _shapes.size();
+ }
+
+ /** Type of the iterator used to step through all samples in the data set.
+ * Needs to support operator*() and operator++() which a pointer does.
+ */
+ using iterator = const TensorShape *;
+
+ /** Iterator to the first sample in the data set. */
+ iterator begin() const
+ {
+ return _shapes.data();
+ }
+
+protected:
+ /** Protected constructor to make the class abstract. */
+ template <typename... Ts>
+ ShapeDataset(Ts... shapes)
+ : _shapes{ { shapes... } }
+ {
+ }
+
+ /** Protected destructor to prevent deletion of derived class through a
+ * pointer to the base class.
+ */
+ ~ShapeDataset() = default;
+
+private:
+ std::array<TensorShape, Size> _shapes;
+};
+
+/** Data set containing one 1D tensor shape. */
+class Small1DShape final : public ShapeDataset<1>
+{
+public:
+ Small1DShape()
+ : ShapeDataset(TensorShape(128U))
+ {
+ }
+};
+
+/** Data set containing small tensor shapes. */
+class SmallShapes final : public ShapeDataset<3>
+{
+public:
+ SmallShapes()
+ : ShapeDataset(TensorShape(5U, 5U),
+ TensorShape(27U, 13U, 2U),
+ TensorShape(128U, 64U, 1U, 3U))
+ {
+ }
+};
+
+/** Data set containing large tensor shapes. */
+class LargeShapes final : public ShapeDataset<3>
+{
+public:
+ LargeShapes()
+ : ShapeDataset(TensorShape(1920U, 1080U),
+ TensorShape(1245U, 652U, 1U, 3U),
+ TensorShape(4160U, 3120U))
+ {
+ }
+};
+} // namespace test
+} // namespace arm_compute
+#endif