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Diffstat (limited to 'tensorflow/contrib/lite/experimental/writer/writer.cc')
-rw-r--r-- | tensorflow/contrib/lite/experimental/writer/writer.cc | 41 |
1 files changed, 41 insertions, 0 deletions
diff --git a/tensorflow/contrib/lite/experimental/writer/writer.cc b/tensorflow/contrib/lite/experimental/writer/writer.cc new file mode 100644 index 0000000000..20ede214fb --- /dev/null +++ b/tensorflow/contrib/lite/experimental/writer/writer.cc @@ -0,0 +1,41 @@ +/* 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; +} |