Imported Upstream version 1.18.0
[platform/core/ml/nnfw.git] / compiler / tfldump / src / Read.h
1 /*
2  * Copyright (c) 2018 Samsung Electronics Co., Ltd. All Rights Reserved
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 __TFLREAD_READ_H__
18 #define __TFLREAD_READ_H__
19
20 #include <mio/tflite/schema_generated.h>
21
22 #include <map>
23 #include <string>
24 #include <vector>
25
26 namespace tflread
27 {
28
29 template <typename T> std::vector<T> as_index_vector(const flatbuffers::Vector<T> *flat_array)
30 {
31   std::vector<T> ret(flat_array->Length());
32   for (uint32_t i = 0; i < flat_array->Length(); i++)
33   {
34     ret[i] = flat_array->Get(i);
35   }
36   return ret;
37 }
38
39 tflite::BuiltinOperator builtin_code_neutral(const tflite::OperatorCode *opcode);
40 bool is_valid(const tflite::OperatorCode *opcode);
41 bool is_custom(const tflite::OperatorCode *opcode);
42 std::string opcode_name(const tflite::OperatorCode *opcode);
43 const char *tensor_type(const tflite::Tensor *tensor);
44 const char *tensor_name(const tflite::Tensor *tensor);
45
46 /**
47  * @brief Loads TF lite file and provides helpers to access attributes
48  */
49 class Reader
50 {
51 private:
52   using TFliteSubGraphs_t = flatbuffers::Vector<flatbuffers::Offset<tflite::SubGraph>>;
53   using TFliteBuffers_t = flatbuffers::Vector<flatbuffers::Offset<tflite::Buffer>>;
54   using TFliteTensors_t = flatbuffers::Vector<flatbuffers::Offset<tflite::Tensor>>;
55   using TFliteOperators_t = flatbuffers::Vector<flatbuffers::Offset<tflite::Operator>>;
56   using TFliteMetadata_t = flatbuffers::Vector<flatbuffers::Offset<tflite::Metadata>>;
57   using TFliteSignatureDef_t = flatbuffers::Vector<flatbuffers::Offset<tflite::SignatureDef>>;
58
59 public:
60   Reader(const tflite::Model *model);
61
62   Reader() = delete;
63
64 public:
65   uint32_t version() const { return _version; }
66
67   const std::vector<const tflite::OperatorCode *> &opcodes() { return _op_codes; }
68   const TFliteBuffers_t *buffers() { return _buffers; }
69   const TFliteTensors_t *tensors() { return _tensors; }
70   const TFliteOperators_t *operators() { return _operators; }
71   const std::vector<int32_t> &inputs() const { return _inputs; }
72   const std::vector<int32_t> &outputs() const { return _outputs; }
73   const TFliteMetadata_t *metadata() const { return _metadata; }
74   const TFliteSignatureDef_t *signaturedefs() const { return _signaturedefs; }
75
76   uint32_t num_subgraph() const { return _subgraphs->Length(); }
77
78   size_t buffer_info(uint32_t buf_idx, const uint8_t **buff_data);
79   tflite::BuiltinOperator builtin_code(const tflite::Operator *op) const;
80   std::string opcode_name(const tflite::Operator *op) const;
81
82 public:
83   bool select_subgraph(uint32_t subgraph);
84   const std::string &subgraph_name(void) const { return _subgraph_name; }
85   uint32_t subgraph_index(void) const { return _subgraph_index; }
86
87 private:
88   uint32_t _version;
89
90   const TFliteSubGraphs_t *_subgraphs{nullptr};
91   const TFliteBuffers_t *_buffers{nullptr};
92   const TFliteTensors_t *_tensors{nullptr};
93   const TFliteOperators_t *_operators{nullptr};
94   const TFliteMetadata_t *_metadata{nullptr};
95   const TFliteSignatureDef_t *_signaturedefs{nullptr};
96
97   uint32_t _subgraph_index;
98   std::string _subgraph_name;
99   std::vector<const tflite::OperatorCode *> _op_codes;
100   std::vector<int32_t> _inputs;
101   std::vector<int32_t> _outputs;
102 };
103
104 } // namespace tflread
105
106 #endif // __TFLREAD_READ_H__