wehub-resource-sync
40 lines
1.6 KiB
C++
40 lines
1.6 KiB
C++
/* Copyright 2019 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_QUANTIZATION_WRAPPER_H_
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#define TENSORFLOW_LITE_TOOLS_OPTIMIZE_QUANTIZATION_WRAPPER_H_
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#include <string>
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namespace tflite {
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namespace optimize {
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// Makes an copy of the model at input_path and writes it to output_path, adding
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// tensors to the model needed for calibration.
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// Returns true if it is successful.
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// Example: a/b/c.tflite becomes a/b/c.calibrated.tflite and has
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// intermediate tensors added according to operator properties.
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bool CreateModelForCalibration(const std::string& input_path,
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const std::string& output_path);
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// Quantize a model in place. This function is only to be called after calling
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// CreateModelForCalibration and running calibration over data.
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// Returns true if it is successful.
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bool CreateQuantizedModel(const std::string& path);
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} // namespace optimize
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} // namespace tflite
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#endif // TENSORFLOW_LITE_TOOLS_OPTIMIZE_QUANTIZATION_WRAPPER_H_
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