1 /* Copyright 2016 The TensorFlow Authors. All Rights Reserved. 2 3 Licensed under the Apache License, Version 2.0 (the "License"); 4 you may not use this file except in compliance with the License. 5 You may obtain a copy of the License at 6 7 http://www.apache.org/licenses/LICENSE-2.0 8 9 Unless required by applicable law or agreed to in writing, software 10 distributed under the License is distributed on an "AS IS" BASIS, 11 WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 12 See the License for the specific language governing permissions and 13 limitations 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 21 namespace 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. 38 Status DoQuantizeTraining(int32 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. 43 Status DoQuantizeTrainingOnSerializedGraphDef(const string& input_graph, 44 int32 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. 50 Status DoQuantizeTrainingOnGraphDef(const GraphDef& input_graphdef, 51 int32 num_bits, const string& quant_op_type, 52 GraphDef* result_graphdef); 53 54 } // namespace tensorflow 55 56 #endif // TENSORFLOW_CORE_COMMON_RUNTIME_QUANTIZE_TRAINING_H_ 57