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+/* Copyright 2018 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.
+==============================================================================*/
+// Just does a read/write loop of tflite file format using the interpreter as
+// an intermediate.
+//
+// Usage:
+// writer <input tflite> <output tflite>
+
+#include <iostream>
+
+#include "tensorflow/contrib/lite/experimental/writer/writer_lib.h"
+#include "tensorflow/contrib/lite/kernels/register.h"
+#include "tensorflow/contrib/lite/model.h"
+
+int main(int argc, char* argv[]) {
+ if (argc != 3) {
+ fprintf(stderr, "Usage: %s input_file output_file\n", argv[0]);
+ return 1;
+ }
+ std::unique_ptr<tflite::FlatBufferModel> model =
+ tflite::FlatBufferModel::BuildFromFile(argv[1]);
+ std::unique_ptr<tflite::Interpreter> interpreter;
+ tflite::ops::builtin::BuiltinOpResolver builtin_op_resolver;
+ tflite::InterpreterBuilder(*model, builtin_op_resolver)(&interpreter);
+ tflite::InterpreterWriter writer(interpreter.get());
+ writer.Write(argv[2]);
+
+ return 0;
+}