/* Copyright 2018 The TensorFlow Authors. All Rights Reserved.
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License.
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==============================================================================*/
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#ifndef TENSORFLOW_LITE_TOOLS_OPTIMIZE_CALIBRATION_READER_H_
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#define TENSORFLOW_LITE_TOOLS_OPTIMIZE_CALIBRATION_READER_H_
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#include <unordered_map>
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#include "tensorflow/lite/context.h"
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#include "tensorflow/lite/model.h"
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#include "tensorflow/lite/tools/optimize/calibration/calibration_logger.h"
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namespace tflite {
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namespace optimize {
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namespace calibration {
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// Warning: This is not a public API and subject to change.
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//
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// Reads calibrator data collected by running the interpreter through
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// a calibration set.
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class CalibrationReader {
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public:
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struct CalibrationStats {
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float min;
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float max;
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};
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explicit CalibrationReader(const Logger* logger) : logger_(logger) {}
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// Gets a map from tensor index to recorded calibration values.
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virtual TfLiteStatus GetTensorStatsAsMap(
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std::unordered_map<int, CalibrationStats>* tensor_id_to_stats_map) const;
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// Annotates the tensors in the given model with statistics captured during
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// calibration.
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virtual TfLiteStatus AddCalibrationToModel(ModelT* model) const;
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virtual ~CalibrationReader() {}
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private:
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const Logger* logger_;
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};
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} // namespace calibration
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} // namespace optimize
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} // namespace tflite
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#endif // TENSORFLOW_LITE_TOOLS_OPTIMIZE_CALIBRATION_READER_H_
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