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 16 #include <cstdarg> 17 #include <cstdlib> 18 #include <iostream> 19 #include <memory> 20 #include <string> 21 #include <unordered_set> 22 #include <vector> 23 24 #include "tensorflow/contrib/lite/kernels/register.h" 25 #include "tensorflow/contrib/lite/model.h" 26 #include "tensorflow/contrib/lite/string_util.h" 27 #include "tensorflow/contrib/lite/tools/mutable_op_resolver.h" 28 29 #ifdef TFLITE_CUSTOM_OPS_HEADER 30 void RegisterSelectedOps(::tflite::MutableOpResolver* resolver); 31 #endif 32 33 #define LOG(x) std::cerr 34 35 #define CHECK(x) \ 36 if (!(x)) { \ 37 LOG(ERROR) << #x << "failed"; \ 38 exit(1); \ 39 } 40 41 namespace tensorflow { 42 namespace benchmark_tflite_model { 43 44 std::unique_ptr<tflite::FlatBufferModel> model; 45 std::unique_ptr<tflite::Interpreter> interpreter; 46 47 void InitImpl(const std::string& graph, const std::vector<int>& sizes, 48 const std::string& input_layer_type, int num_threads) { 49 CHECK(graph.c_str()); 50 51 model = tflite::FlatBufferModel::BuildFromFile(graph.c_str()); 52 if (!model) { 53 LOG(FATAL) << "Failed to mmap model " << graph; 54 } 55 LOG(INFO) << "Loaded model " << graph; 56 model->error_reporter(); 57 LOG(INFO) << "resolved reporter"; 58 59 #ifdef TFLITE_CUSTOM_OPS_HEADER 60 tflite::MutableOpResolver resolver; 61 RegisterSelectedOps(&resolver); 62 #else 63 tflite::ops::builtin::BuiltinOpResolver resolver; 64 #endif 65 66 tflite::InterpreterBuilder(*model, resolver)(&interpreter); 67 if (!interpreter) { 68 LOG(FATAL) << "Failed to construct interpreter"; 69 } 70 71 if (num_threads != -1) { 72 interpreter->SetNumThreads(num_threads); 73 } 74 75 int input = interpreter->inputs()[0]; 76 77 if (input_layer_type != "string") { 78 interpreter->ResizeInputTensor(input, sizes); 79 } 80 81 if (interpreter->AllocateTensors() != kTfLiteOk) { 82 LOG(FATAL) << "Failed to allocate tensors!"; 83 } 84 } 85 86 int Main(int argc, char** argv) { 87 InitImpl("", {}, "", 1); 88 return 0; 89 } 90 91 } // namespace benchmark_tflite_model 92 } // namespace tensorflow 93 94 int main(int argc, char** argv) { 95 return tensorflow::benchmark_tflite_model::Main(argc, argv); 96 } 97