1 // Copyright 2017 The TensorFlow Authors. All Rights Reserved. 2 // 3 // Licensed under the Apache License, Version 2.0 (the "License"); 4 // you may not use this file except in compliance with the License. 5 // You may obtain a copy of the License at 6 // 7 // http://www.apache.org/licenses/LICENSE-2.0 8 // 9 // Unless required by applicable law or agreed to in writing, software 10 // distributed under the License is distributed on an "AS IS" BASIS, 11 // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 12 // See the License for the specific language governing permissions and 13 // limitations under the License. 14 // ============================================================================= 15 #ifndef TENSORFLOW_CONTRIB_TENSOR_FOREST_KERNELS_V4_CANDIDATE_GRAPH_RUNNER_H_ 16 #define TENSORFLOW_CONTRIB_TENSOR_FOREST_KERNELS_V4_CANDIDATE_GRAPH_RUNNER_H_ 17 #include <string> 18 #include <vector> 19 20 #include "tensorflow/contrib/decision_trees/proto/generic_tree_model.pb.h" 21 #include "tensorflow/contrib/tensor_forest/kernels/v4/input_data.h" 22 #include "tensorflow/contrib/tensor_forest/kernels/v4/input_target.h" 23 #include "tensorflow/contrib/tensor_forest/proto/fertile_stats.pb.h" 24 #include "tensorflow/core/framework/tensor.h" 25 #include "tensorflow/core/public/session.h" 26 27 namespace tensorflow { 28 namespace tensorforest { 29 30 typedef std::vector<std::pair<string, ::tensorflow::Tensor>> 31 TensorNameValueList; 32 33 // Class that represents one split candidate, and can perform operations 34 // on a session created from a graph. 35 class CandidateGraphRunner { 36 public: 37 // split should contain the features that are being used. 38 CandidateGraphRunner(const string& graph_dir, 39 const decision_trees::BinaryNode& split); 40 41 // Input the given data and target Tensors to the add_example op. 42 void AddExample(const Tensor& input_data, const Tensor& target, 43 const Tensor& examples); 44 45 // Get the candidates' split score with the split_score op. 46 float SplitScore(); 47 48 // Fills in the split in node with weights and threshold. 49 void GetSplit(decision_trees::BinaryNode* node); 50 51 // Fills in the stats for the left-branch taken. 52 void GetLeftStats(LeafStat* stats); 53 54 // Fills in the stats for the right-branch taken. 55 void GetRightStats(LeafStat* stats); 56 57 // Initializes variables, must be run before other ops. 58 void Init(); 59 60 protected: 61 void RunOp(const string& name, const TensorNameValueList& inputs, 62 const std::vector<string>& output_tensor_names, 63 std::vector<Tensor>* outputs); 64 65 std::unique_ptr<Session> session_; 66 decision_trees::BinaryNode split_; 67 std::unique_ptr<Tensor> features_; 68 }; 69 70 } // namespace tensorforest 71 } // namespace tensorflow 72 73 #endif // TENSORFLOW_CONTRIB_TENSOR_FOREST_KERNELS_V4_CANDIDATE_GRAPH_RUNNER_H_ 74
