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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.
==============================================================================*/
#ifndef TENSORFLOW_CONTRIB_LITE_TOOLS_OPTIMIZE_QUANTIZE_WEIGHTS_H_
#define TENSORFLOW_CONTRIB_LITE_TOOLS_OPTIMIZE_QUANTIZE_WEIGHTS_H_
#include <memory>
#include "flatbuffers/flexbuffers.h"
#include "tensorflow/contrib/lite/context.h"
#include "tensorflow/contrib/lite/model.h"
#include "tensorflow/contrib/lite/schema/schema_generated.h"
namespace tflite {
namespace optimize {
// Quantizes input_model and populates the provided builder with the new model.
//
// A tflite::Model can be obtained from the builder with:
// const uint8_t* buffer = builder->GetBufferPointer();
// tflite::Model* model = GetModel(buffer);
TfLiteStatus QuantizeWeights(flatbuffers::FlatBufferBuilder* builder,
const Model* input_model);
} // namespace optimize
} // namespace tflite
#endif // TENSORFLOW_CONTRIB_LITE_TOOLS_OPTIMIZE_QUANTIZE_WEIGHTS_H_
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