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1 /**
2  * Copyright 2022 Huawei Technologies Co., Ltd
3  *
4  * Licensed under the Apache License, Version 2.0 (the "License");
5  * you may not use this file except in compliance with the License.
6  * You may obtain a copy of the License at
7  *
8  * http://www.apache.org/licenses/LICENSE-2.0
9  *
10  * Unless required by applicable law or agreed to in writing, software
11  * distributed under the License is distributed on an "AS IS" BASIS,
12  * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
13  * See the License for the specific language governing permissions and
14  * limitations under the License.
15  */
16 
17 #ifndef MINDSPORE_LITE_TOOLS_CONVERTER_QUANTIZER_DYNAMIC_QUANTIZER_H_
18 #define MINDSPORE_LITE_TOOLS_CONVERTER_QUANTIZER_DYNAMIC_QUANTIZER_H_
19 
20 #include <future>
21 #include <memory>
22 #include <unordered_map>
23 #include <map>
24 #include <list>
25 #include <string>
26 #include <utility>
27 #include <vector>
28 #include <set>
29 #include "tools/converter/quantizer/quantizer.h"
30 #include "tools/converter/quantizer/quantize_util.h"
31 #include "tools/converter/quantizer/quant_params.h"
32 #include "tools/converter/quantizer/quant_strategy.h"
33 #include "tools/converter/preprocess/preprocess_param.h"
34 #include "ir/func_graph.h"
35 #include "ir/anf.h"
36 #include "include/model.h"
37 #include "base/base.h"
38 #include "abstract/dshape.h"
39 #include "src/common/quant_utils.h"
40 
41 namespace mindspore::lite::quant {
42 class DynamicQuantizer : public Quantizer {
43  public:
DynamicQuantizer(const std::shared_ptr<ConverterPara> & param)44   explicit DynamicQuantizer(const std::shared_ptr<ConverterPara> &param) : Quantizer(param) {
45     bit_num_ = param->commonQuantParam.bit_num;
46     activation_channel_weight_layer_ =
47       (param->dynamicQuantParam.quant_strategy == quant::ACTIVATION_CHANNEL_WEIGHT_LAYER);
48   }
49   ~DynamicQuantizer() = default;
50 
51   int DoQuantize(FuncGraphPtr func_graph) override;
52 
53  private:
54   size_t bit_num_{8};
55   int quant_max_{127};
56   int quant_min_{-128};
57   TypeId type_id_{kNumberTypeInt8};
58   bool activation_channel_weight_layer_ = false;
59 };
60 }  // namespace mindspore::lite::quant
61 #endif  // MINDSPORE_LITE_TOOLS_CONVERTER_QUANTIZER_WEIGHT_QUANTIZER_H_
62