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+/*
+ * Copyright (c) 2021 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 SRC_RUNTIME_CL_MLGO_HEURISTIC_TREE_H
+#define SRC_RUNTIME_CL_MLGO_HEURISTIC_TREE_H
+
+#include "arm_compute/core/Types.h"
+
+#include "src/runtime/CL/mlgo/Common.h"
+
+#include <map>
+#include <memory>
+#include <string>
+#include <utility>
+
+namespace arm_compute
+{
+namespace mlgo
+{
+/** Conditional ops */
+enum class ConditionalOp
+{
+ EQ, /**< Equal */
+ LT, /**< Less than */
+ LE, /**< Less than or equal to */
+ GT, /**< Greater than */
+ GE, /**< Greater than or equal to */
+};
+
+/** A branch condition expression evaluating: feature op threshold */
+struct Condition
+{
+ std::string feature; /**< Feature name */
+ ConditionalOp op; /**< Condtional op */
+ float threshold; /**< Threshold value */
+};
+
+/** GEMM Shape used for query */
+struct GEMMShape
+{
+ unsigned int m; /**< Number of rows for the lhs matrix. Lhs matrix NOT transposed */
+ unsigned int n; /**< Number of columns for the rhs matrix. Rhs matrix NOT transposed */
+ unsigned int k; /**< Number of rows for the rhs matrix. Rhs matrix NOT transposed */
+ unsigned int b; /**< Batch size */
+};
+
+/** A binary decision tree based heuristic */
+class HeuristicTree
+{
+public:
+ using NodeID = size_t;
+ using TreeID = size_t;
+ using Index = std::tuple<HeuristicType, std::string, DataType>;
+ enum class NodeType
+ {
+ Branch,
+ Leaf
+ };
+ struct Node
+ {
+ virtual NodeType type() const = 0;
+ virtual ~Node() = default;
+ };
+
+ struct BranchNode : public Node
+ {
+ BranchNode(NodeID id, Condition cond, NodeID t_node, NodeID f_node)
+ : id{id}, condition{cond}, true_node{t_node}, false_node{f_node}
+ {
+ }
+ NodeType type() const override
+ {
+ return NodeType::Branch;
+ }
+ NodeID id;
+ Condition condition;
+ NodeID true_node;
+ NodeID false_node;
+ };
+
+ template <typename T>
+ struct LeafNode : public Node
+ {
+ LeafNode(NodeID id, T val) : id{id}, value{val}
+ {
+ }
+ NodeType type() const override
+ {
+ return NodeType::Leaf;
+ }
+ NodeID id;
+ T value;
+ };
+
+public:
+ /** Constructor */
+ HeuristicTree();
+ /** Constructor */
+ HeuristicTree(TreeID id, HeuristicType h_type, const std::string &ip_target, DataType data_type);
+ // Since the HeuristicTree is a handle that owns the the nodes, it is move-only
+ /** Prevent copy construction */
+ HeuristicTree(const HeuristicTree &) = delete;
+ /** Prevent copy assignment */
+ HeuristicTree &operator=(const HeuristicTree &) = delete;
+ /** Move constructor */
+ HeuristicTree(HeuristicTree &&other) noexcept = default;
+ /** Move assignment */
+ HeuristicTree &operator=(HeuristicTree &&other) = default;
+
+ /** Query a leaf value given a gemm shape
+ *
+ * @tparam T Leaf value type
+ * @param shape A @ref GEMMShape for the query
+ * @return std::pair<bool, T> Outcome contains bool, signalling if the query succeeded or not
+ */
+ template <typename T>
+ std::pair<bool, T> query(GEMMShape shape) const;
+
+ /** Add a leaf node
+ *
+ * @tparam T Leaf value type
+ * @param id Leaf node ID
+ * @param leaf_value Leaf node value
+ * @return bool If the addition succeeded or not
+ */
+ template <typename T>
+ bool add_leaf(NodeID id, T leaf_value);
+ /** Add a branch node
+ *
+ * @param id Branch node ID
+ * @param cond Branch node @ref Condition
+ * @param true_node True node's ID
+ * @param false_node False node's ID
+ * @return bool If the addition succeeded or not
+ */
+ bool add_branch(NodeID id, Condition cond, NodeID true_node, NodeID false_node);
+
+ /** Get tree ID
+ * @return TreeID
+ */
+ TreeID id() const
+ {
+ return _id;
+ }
+
+ /** Get tree index
+ * @return Index
+ */
+ Index index() const
+ {
+ return std::make_tuple(_heuristic_type, _ip_target, _data_type);
+ }
+
+ /** Check if tree is valid
+ * @return bool
+ */
+ bool check();
+
+private:
+ static constexpr size_t _max_query_depth{1000}; // Maximum depth of query
+ static constexpr size_t _max_num_nodes{100000}; // Maximum number of nodes contained by the tree
+ static constexpr NodeID _root{0}; // Root tree ID
+
+private:
+ bool check_if_structurally_correct() const;
+
+private:
+ TreeID _id; /**< Heuristic tree ID */
+ HeuristicType _heuristic_type; /**< Heuristic type */
+ std::string _ip_target; /**< IP target associated with the tree */
+ DataType _data_type; /**< Data type associated with the tree */
+ std::map<NodeID, std::unique_ptr<Node>> _tree; /**< Tree representation */
+};
+} // namespace mlgo
+
+} // namespace arm_compute
+
+#endif //SRC_RUNTIME_CL_MLGO_HEURISTIC_TREE_H