Imported Upstream version 1.19.0
[platform/core/ml/nnfw.git] / compiler / luci / import / include / luci / Import / CircleReader.h
1 /*
2  * Copyright (c) 2020 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 __LUCI_IMPORT_GRAPHREADER_H__
18 #define __LUCI_IMPORT_GRAPHREADER_H__
19
20 #include <mio/circle/schema_generated.h>
21
22 #include <luci/IR/AttrFusedActFunc.h>
23 #include <luci/IR/AttrPadding.h>
24 #include <luci/IR/CircleNode.h>
25 #include <luci/IR/CircleQuantParam.h>
26 #include <luci/IR/SparsityParam.h>
27
28 #include <loco.h>
29
30 #include <map>
31 #include <memory>
32 #include <string>
33 #include <vector>
34
35 namespace luci
36 {
37
38 bool is_valid(const circle::OperatorCodeT &opcode);
39 bool is_valid(const circle::OperatorCode *opcode);
40
41 bool is_custom(const circle::OperatorCodeT &opcode);
42 bool is_custom(const circle::OperatorCode *opcode);
43
44 std::string opcode_name(const circle::OperatorCodeT &opcode);
45 std::string opcode_name(const circle::OperatorCode *opcode);
46
47 const char *tensor_name(const circle::TensorT &tensor);
48 const char *tensor_name(const circle::Tensor *tensor);
49
50 const circle::QuantizationParametersT *tensor_quantization(const circle::TensorT &tensor);
51 const circle::QuantizationParameters *tensor_quantization(const circle::Tensor *tensor);
52
53 loco::DataType luci_datatype(circle::TensorType type);
54 FusedActFunc luci_actfunc(const circle::ActivationFunctionType type);
55 Padding luci_padding(const circle::Padding padding);
56 MirrorPadMode luci_mirrorpad_mode(const circle::MirrorPadMode mode);
57 luci::CircleFullyConnected::WeightsFormat
58 luci_weights_format(const circle::FullyConnectedOptionsWeightsFormat weights_format);
59 std::unique_ptr<CircleQuantParam>
60 luci_quantparam(const circle::QuantizationParametersT *quantization);
61 std::unique_ptr<CircleQuantParam>
62 luci_quantparam(const circle::QuantizationParameters *quantization);
63
64 /// @brief Copy common tensor attributes such as name, type, etc. to node.
65 void copy_tensor_attributes(const circle::TensorT &tensor, CircleNode *node);
66 void copy_tensor_attributes(const circle::Tensor *tensor, CircleNode *node);
67
68 /**
69  * @brief Wrapper to use flatbuffers::Vector pointer as std::vector entity
70  */
71 template <typename T> class VectorWrapper
72 {
73 public:
74   explicit VectorWrapper(const flatbuffers::Vector<T> *ptr);
75
76   const T *data() const;
77   uint32_t size() const;
78
79   using iterator = typename flatbuffers::Vector<T>::const_iterator;
80   iterator begin() const;
81   iterator end() const;
82
83   using value_type = typename flatbuffers::Vector<T>::return_type;
84   value_type at(uint32_t i) const;
85   value_type operator[](uint32_t i) const;
86
87   bool null() const;
88   bool empty() const;
89
90 private:
91   const flatbuffers::Vector<T> *_vector;
92 };
93
94 template <typename T> VectorWrapper<T> wrap(const flatbuffers::Vector<T> *vec)
95 {
96   return VectorWrapper<T>(vec);
97 }
98
99 /**
100  * @brief Loads Circle file and provides helpers to access attributes
101  */
102 class CircleReader
103 {
104 private: // unpack API
105   using CircleBuffers_t = std::vector<std::unique_ptr<circle::BufferT>>;
106   using CircleTensors_t = std::vector<std::unique_ptr<circle::TensorT>>;
107   using CircleOperators_t = std::vector<std::unique_ptr<circle::OperatorT>>;
108   using CircleOperatorCodes_t = std::vector<std::unique_ptr<circle::OperatorCodeT>>;
109   using CircleMetadata_t = std::vector<std::unique_ptr<circle::MetadataT>>;
110
111 private: // direct API
112   using CircleBuffers = VectorWrapper<flatbuffers::Offset<circle::Buffer>>;
113   using CircleTensors = VectorWrapper<flatbuffers::Offset<circle::Tensor>>;
114   using CircleOperators = VectorWrapper<flatbuffers::Offset<circle::Operator>>;
115   using CircleOperatorCodes = VectorWrapper<flatbuffers::Offset<circle::OperatorCode>>;
116   using CircleMetadataSet = VectorWrapper<flatbuffers::Offset<circle::Metadata>>;
117
118   using CircleSubGraphsPtr_t = flatbuffers::Vector<flatbuffers::Offset<circle::SubGraph>>;
119   using CircleTensorsPtr_t = flatbuffers::Vector<flatbuffers::Offset<circle::Tensor>>;
120
121 public:
122   CircleReader() = default;
123
124 public: // unpack API
125   const CircleOperatorCodes_t &opcodes() const { return _model->operator_codes; }
126   const CircleBuffers_t &buffers() const { return _model->buffers; }
127   const CircleTensors_t &tensors() const { return _current_subgraph->tensors; }
128   const CircleOperators_t &operators() const { return _current_subgraph->operators; }
129   const std::vector<int32_t> &inputs() const { return _current_subgraph->inputs; }
130   const std::vector<int32_t> &outputs() const { return _current_subgraph->outputs; }
131   const std::string &name() const { return _current_subgraph->name; }
132   const circle::DataFormat &data_format() const { return _current_subgraph->data_format; }
133   const CircleMetadata_t &metadata() const { return _model->metadata; }
134
135   const CircleTensorsPtr_t *tensors_ptr() const { return _tensors_ptr; }
136
137   uint32_t num_subgraph() const { return _model->subgraphs.size(); }
138
139   circle::BuiltinOperator builtin_code(const circle::OperatorT &op) const;
140   std::string opcode_name(const circle::OperatorT &op) const;
141
142 public: // direct API
143   CircleOperatorCodes native_opcodes() const { return wrap(_native_model->operator_codes()); }
144   CircleBuffers native_buffers() const { return wrap(_native_model->buffers()); }
145   CircleTensors native_tensors() const { return wrap(_native_subgraph->tensors()); }
146   CircleOperators native_operators() const { return wrap(_native_subgraph->operators()); }
147   VectorWrapper<int32_t> native_inputs() const { return wrap(_native_subgraph->inputs()); }
148   VectorWrapper<int32_t> native_outputs() const { return wrap(_native_subgraph->outputs()); }
149   std::string native_name() const { return _native_subgraph->name()->str(); }
150   circle::DataFormat native_data_format() const { return _native_subgraph->data_format(); }
151   CircleMetadataSet native_metadata() const { return wrap(_native_model->metadata()); }
152
153   circle::BuiltinOperator builtin_code(const circle::Operator *op) const;
154   std::string opcode_name(const circle::Operator *op) const;
155
156 public:
157   bool parse(const circle::Model *model);
158   bool select_subgraph(uint32_t subgraph);
159
160 private:
161   std::unique_ptr<const circle::ModelT> _model;
162   const circle::SubGraphT *_current_subgraph{nullptr};
163
164   const circle::Model *_native_model{nullptr};
165   const CircleTensorsPtr_t *_tensors_ptr{nullptr};
166   const circle::SubGraph *_native_subgraph{nullptr};
167 };
168
169 } // namespace luci
170
171 #endif // __LUCI_IMPORT_GRAPHREADER_H__