1/* Copyright 2016 The TensorFlow Authors. All Rights Reserved.
2
3Licensed under the Apache License, Version 2.0 (the "License");
4you may not use this file except in compliance with the License.
5You may obtain a copy of the License at
6
7 http://www.apache.org/licenses/LICENSE-2.0
8
9Unless required by applicable law or agreed to in writing, software
10distributed under the License is distributed on an "AS IS" BASIS,
11WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
12See the License for the specific language governing permissions and
13limitations under the License.
14==============================================================================*/
15
16#ifndef TENSORFLOW_CORE_COMMON_RUNTIME_QUANTIZE_TRAINING_H_
17#define TENSORFLOW_CORE_COMMON_RUNTIME_QUANTIZE_TRAINING_H_
18
19#include "tensorflow/core/graph/graph.h"
20
21namespace tensorflow {
22// Rewrites graph for quantized training.
23// Rewrites the forward pass to include the precision loss with quantization so
24// the model can learn to deal with such loss and achieve better accuracy when
25// it is quantized later for inference.
26// Note that the num_bits should be in [1, 63] and 'g' must be not null.
27// quant_op_type specifies which quantization op should be used.
28// Current ops supported:
29// - QuantizeAndDequantizeV2.
30// - FakeQuantWithMinMaxVars.
31//
32// On success, returns OK.
33//
34// On failure, returns the error status. Possible errors include:
35// - num_bits out of range.
36// - g is null.
37// - More than 1 unknown ops encountered.
38Status DoQuantizeTraining(int32_t num_bits, const string& quant_op_type,
39 Graph* g);
40
41// Converts the input serialized GraphDef and returns a rewritten serialized
42// GraphDef for quantized training.
43Status DoQuantizeTrainingOnSerializedGraphDef(const string& input_graph,
44 int32_t num_bits,
45 const string& quant_op_type,
46 string* result_graph);
47
48// Converts the input GraphDef and returns a rewritten GraphDef for quantized
49// training.
50Status DoQuantizeTrainingOnGraphDef(const GraphDef& input_graphdef,
51 int32_t num_bits,
52 const string& quant_op_type,
53 GraphDef* result_graphdef);
54
55} // namespace tensorflow
56
57#endif // TENSORFLOW_CORE_COMMON_RUNTIME_QUANTIZE_TRAINING_H_
58