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1 /**
2  * Copyright 2020 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 #ifndef MINDSPORE_LITE_SRC_TRAIN_TRANSFER_SESSION_H_
17 #define MINDSPORE_LITE_SRC_TRAIN_TRANSFER_SESSION_H_
18 #include <memory>
19 #include <vector>
20 #include <string>
21 #include <tuple>
22 #include <unordered_map>
23 #include <utility>
24 #include "src/litert/lite_session.h"
25 #include "src/train/train_session.h"
26 
27 /*
28        Inheritance Diagram
29 
30   +-------------------------------+
31   |      session::LiteSession     |
32   +--------------↑----------------+
33                  |
34   +--------------+----------------+
35   |       lite::LiteSession       |
36   +--------------↑----------------+
37                  |
38   +--------------+----------------+
39   |       lite::TrainSession      |
40   +--------------↑----------------+
41                  |
42   +--------------+----------------+
43   |      lite::TrasferSession     |
44   +-------------------------------+
45 */
46 
47 namespace mindspore {
48 namespace lite {
49 
50 class TransferSession : public lite::TrainSession {
51  public:
52   explicit TransferSession(const char *model_buf_backbone, size_t size_backbone,
53                            const std::shared_ptr<lite::InnerContext> &context);
54 
55   ~TransferSession();
56 
is_valid()57   bool is_valid() const { return is_valid_; }
58 
59   int RunGraph(const KernelCallBack &before = nullptr, const KernelCallBack &after = nullptr) override;
60 
61   void BindThread(bool if_bind) override;
62   std::vector<lite::Tensor *> GetInputs() const override;
63   mindspore::lite::Tensor *GetInputsByTensorName(const std::string &tensor_name) const override;
64 
65   int CompileTransferGraph();
66   int Export(const std::string &fb_name, ModelType model_type, QuantizationType quant_type, FormatType,
67              std::vector<std::string> out_put_tensor_name = {}) override;
68   int Export(Buffer *model_buffer, ModelType model_type, QuantizationType quant_type, FormatType,
69              std::vector<std::string> out_put_tensor_name = {}) override;
70 
71  protected:
72   LiteSession *backbone_session_ = nullptr;
73   char *lite_model_ = nullptr;
74   std::vector<mindspore::lite::Tensor *> combined_inputs_;
75   std::vector<std::pair<mindspore::lite::Tensor *, mindspore::lite::Tensor *>> backbone_head_map_;
76   bool is_valid_ = false;
77 
78  private:
79   template <typename DestType>
80   int ExportInner(DestType destination, ModelType model_type, QuantizationType quant_type, FormatType,
81                   std::vector<std::string> out_put_tensor_name = {});
82   bool CompileFormatTransform(lite::Tensor *out, lite::Tensor *in, int *mask, size_t mask_len);
83   std::unordered_map<size_t, size_t> ConnectionMap();
84   bool nchw2nhwc_ = false;
85   size_t size_backbone_;
86 };
87 
88 lite::LiteSession *CreateTransferSessionInt(const char *model_buf_backbone, size_t size_backbone,
89                                             const char *model_buf_head, size_t size_head,
90                                             const std::shared_ptr<InnerContext> &context, bool train_mode,
91                                             const lite::TrainCfg *cfg);
92 }  // namespace lite
93 }  // namespace mindspore
94 #endif  // MINDSPORE_LITE_SRC_TRAIN_TRANSFER_SESSION_H_
95