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 bool is_valid(const tflite::OperatorCode *opcode);
  40 bool is_custom(const tflite::OperatorCode *opcode);
  41 std::string opcode_name(const tflite::OperatorCode *opcode);
  42 const char *tensor_type(const tflite::Tensor *tensor);
  43 const char *tensor_name(const tflite::Tensor *tensor);
  44
  45 /**
  46  * @brief Loads TF lite file and provides helpers to access attributes
  47  */
  48 class Reader
  49 {
  50 private:
  51   using TFliteSubGraphs_t = flatbuffers::Vector<flatbuffers::Offset<tflite::SubGraph>>;
  52   using TFliteBuffers_t = flatbuffers::Vector<flatbuffers::Offset<tflite::Buffer>>;
  53   using TFliteTensors_t = flatbuffers::Vector<flatbuffers::Offset<tflite::Tensor>>;
  54   using TFliteOperators_t = flatbuffers::Vector<flatbuffers::Offset<tflite::Operator>>;
  55   using TFliteMetadata_t = flatbuffers::Vector<flatbuffers::Offset<tflite::Metadata>>;
  56
  57 public:
  58   Reader(const tflite::Model *model);
  59
  60   Reader() = delete;
  61
  62 public:
  63   uint32_t version() const { return _version; }
  64
  65   const std::vector<const tflite::OperatorCode *> &opcodes() { return _op_codes; }
  66   const TFliteBuffers_t *buffers() { return _buffers; }
  67   const TFliteTensors_t *tensors() { return _tensors; }
  68   const TFliteOperators_t *operators() { return _operators; }
  69   const std::vector<int32_t> &inputs() const { return _inputs; }
  70   const std::vector<int32_t> &outputs() const { return _outputs; }
  71   const TFliteMetadata_t *metadata() const { return _metadata; }
  72
  73   uint32_t num_subgraph() const { return _subgraphs->Length(); }
  74
  75   size_t buffer_info(uint32_t buf_idx, const uint8_t **buff_data);
  76   tflite::BuiltinOperator builtin_code(const tflite::Operator *op) const;
  77   std::string opcode_name(const tflite::Operator *op) const;
  78
  79 public:
  80   bool select_subgraph(uint32_t subgraph);
  81   const std::string &subgraph_name(void) const { return _subgraph_name; }
  82   uint32_t subgraph_index(void) const { return _subgraph_index; }
  83
  84 private:
  85   uint32_t _version;
  86
  87   const TFliteSubGraphs_t *_subgraphs{nullptr};
  88   const TFliteBuffers_t *_buffers{nullptr};
  89   const TFliteTensors_t *_tensors{nullptr};
  90   const TFliteOperators_t *_operators{nullptr};
  91   const TFliteMetadata_t *_metadata{nullptr};
  92
  93   uint32_t _subgraph_index;
  94   std::string _subgraph_name;
  95   std::vector<const tflite::OperatorCode *> _op_codes;
  96   std::vector<int32_t> _inputs;
  97   std::vector<int32_t> _outputs;
  98 };
  99
 100 } // namespace tflread
 101
 102 #endif // __TFLREAD_READ_H__