1 /* Copyright 2019 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_LITE_TOCO_GRAPH_TRANSFORMATIONS_IDENTIFY_UTIL_H_ 16 #define TENSORFLOW_LITE_TOCO_GRAPH_TRANSFORMATIONS_IDENTIFY_UTIL_H_ 17 #include <string> 18 19 #include "tensorflow/lite/toco/model.h" 20 21 namespace toco { 22 23 namespace util { 24 25 bool IsBinaryOp( 26 const Operator* op, OperatorType optype, 27 FusedActivationFunctionType act = FusedActivationFunctionType::kNone); 28 29 // Returns true if given array is a scalar and is val. 30 bool CheckArrayIsScalarFloat(Model* model, const std::string& name, float val); 31 32 // Returns index of scalar input that is equal to val, returns -1 otherwise. 33 int GetSingleScalarInputIndexOfBinaryOp(Model* model, const Operator* op, 34 float val); 35 } // namespace util 36 } // namespace toco 37 #endif // TENSORFLOW_LITE_TOCO_GRAPH_TRANSFORMATIONS_IDENTIFY_UTIL_H_ 38