93   tflite::InterpreterBuilder(*mTfliteModel, resolver)(&mTfliteInterpreter);  in init()
94   if (!mTfliteInterpreter) {  in init()
104     for (size_t node = 0; node < mTfliteInterpreter->nodes_size(); ++node) {  in init()
106           mTfliteInterpreter->node_and_registration(node)->first.outputs;  in init()
110     mTfliteInterpreter->SetOutputs(outputs);  in init()
114   mTfliteInterpreter->SetAllowFp16PrecisionForFp32(true);  in init()
121     if (mTfliteInterpreter->ModifyGraphWithDelegate(  in init()
135   int input = mTfliteInterpreter->inputs()[0];  in setInput()
136   auto* input_tensor = mTfliteInterpreter->tensor(input);  in setInput()
154   int output = mTfliteInterpreter->outputs()[output_index];  in saveInferenceOutput()
155   auto* output_tensor = mTfliteInterpreter->tensor(output);  in saveInferenceOutput()
163   int output = mTfliteInterpreter->outputs()[output_index];  in getOutputError()
164   auto* output_tensor = mTfliteInterpreter->tensor(output);  in getOutputError()
175       uint8_t* output_raw = mTfliteInterpreter->typed_tensor<uint8_t>(output);  in getOutputError()
186       float* output_raw = mTfliteInterpreter->typed_tensor<float>(output);  in getOutputError()
204   int input = mTfliteInterpreter->inputs()[0];  in resizeInputTensors()
205   mTfliteInterpreter->ResizeInputTensor(input, shape);  in resizeInputTensors()
206   if (mTfliteInterpreter->AllocateTensors() != kTfLiteOk) {  in resizeInputTensors()
215   auto status = mTfliteInterpreter->Invoke();  in runInference()
225   auto status = mTfliteInterpreter->ResetVariableTensors();  in resetStates()
259         int input = mTfliteInterpreter->inputs()[0];  in benchmark()
260         auto* input_tensor = mTfliteInterpreter->tensor(input);  in benchmark()
281       size_t outputsCount = mTfliteInterpreter->outputs().size();  in benchmark()
338       for (int tensor = 0; tensor < mTfliteInterpreter->tensors_size();  in dumpAllLayers()
340         auto* output_tensor = mTfliteInterpreter->tensor(tensor);  in dumpAllLayers()