/* Copyright 2020 The TensorFlow Authors. All Rights Reserved. Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. ==============================================================================*/ #include <stddef.h> #include <cstring> #include <memory> #include <vector> #include "tensorflow/lite/core/c/builtin_op_data.h" #include "tensorflow/lite/core/c/common.h" #include "tensorflow/lite/core/subgraph.h" #include "tensorflow/lite/experimental/resource/initialization_status.h" #include "tensorflow/lite/kernels/kernel_util.h" namespace tflite { namespace ops { namespace builtin { namespace call_once_kernel { // CallOnce operator is a control flow op to invoke other subgraph in the graph // in order to conduct the given graph's initialization tasks, for example, hash // table initialization and variable initialization. // // This operator will invoke the subgraph for initialization in the first run // and become no-op after the first run in an interpreter's life cycle. struct OpData { … }; void* Init(TfLiteContext* context, const char* buffer, size_t length) { … } void Free(TfLiteContext* context, void* buffer) { … } TfLiteStatus Prepare(TfLiteContext* context, TfLiteNode* node) { … } TfLiteStatus Eval(TfLiteContext* context, TfLiteNode* node) { … } } // namespace call_once_kernel TfLiteRegistration* Register_CALL_ONCE() { … } } // namespace builtin } // namespace ops } // namespace tflite