/* 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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#include "tensorflow/lite/tools/optimize/calibration/calibration_reader.h"
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#include "absl/memory/memory.h"
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namespace tflite {
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namespace optimize {
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namespace calibration {
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TfLiteStatus CalibrationReader::GetTensorStatsAsMap(
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std::unordered_map<int, CalibrationStats>* tensor_id_to_stats_map) const {
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tensor_id_to_stats_map->clear();
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for (const auto& tensorid_stat : logger_->GetCalibrationValues()) {
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auto minmax = tensorid_stat.second;
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CalibrationReader::CalibrationStats stats;
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TF_LITE_ENSURE_STATUS(minmax.Get(&stats.min, &stats.max));
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tensor_id_to_stats_map->insert({tensorid_stat.first, stats});
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}
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return kTfLiteOk;
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}
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TfLiteStatus CalibrationReader::AddCalibrationToModel(ModelT* model) const {
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if (!model || model->subgraphs.empty()) {
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return kTfLiteError;
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}
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const auto& subgraph = model->subgraphs[0];
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for (const auto& tensorid_stat : logger_->GetCalibrationValues()) {
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auto minmax = tensorid_stat.second;
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float min, max;
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TF_LITE_ENSURE_STATUS(minmax.Get(&min, &max));
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auto quant_params = absl::make_unique<tflite::QuantizationParametersT>();
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quant_params->min.push_back(min);
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quant_params->max.push_back(max);
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subgraph->tensors[tensorid_stat.first]->quantization =
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std::move(quant_params);
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}
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return kTfLiteOk;
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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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