| 54 | }; |
| 55 | |
| 56 | class ArgumentSpec { |
| 57 | public: |
| 58 | // A specification for an operation argument |
| 59 | // |
| 60 | // op_def_name: argument name, as known by TensorFlow core |
| 61 | // var: a variable to represent this argument in Java |
| 62 | // type: the tensor type of this argument |
| 63 | // description: a description of this argument, in javadoc |
| 64 | // iterable: true if this argument is a list |
| 65 | ArgumentSpec(const string& op_def_name, const Variable& var, const Type& type, |
| 66 | const string& description, bool iterable) |
| 67 | : op_def_name_(op_def_name), |
| 68 | var_(var), |
| 69 | type_(type), |
| 70 | description_(description), |
| 71 | iterable_(iterable) {} |
| 72 | |
| 73 | const string& op_def_name() const { return op_def_name_; } |
| 74 | const Variable& var() const { return var_; } |
| 75 | const Type& type() const { return type_; } |
| 76 | const string& description() const { return description_; } |
| 77 | bool iterable() const { return iterable_; } |
| 78 | |
| 79 | private: |
| 80 | const string op_def_name_; |
| 81 | const Variable var_; |
| 82 | const Type type_; |
| 83 | const string description_; |
| 84 | const bool iterable_; |
| 85 | }; |
| 86 | |
| 87 | class AttributeSpec { |
| 88 | public: |
no outgoing calls