text: // Generated by the protocol buffer compiler.  DO NOT EDIT!
  // source: tensorflow/core/protobuf/named_tensor.proto
  
  #ifndef PROTOBUF_tensorflow_2fcore_2fprotobuf_2fnamed_5ftensor_2eproto__INCLUDED
  #define PROTOBUF_tensorflow_2fcore_2fprotobuf_2fnamed_5ftensor_2eproto__INCLUDED
  
  #include <string>
  
  #include <google/protobuf/stubs/common.h>
  
  #if GOOGLE_PROTOBUF_VERSION < 3000000
  #error This file was generated by a newer version of protoc which is
  #error incompatible with your Protocol Buffer headers.  Please update
  #error your headers.
  #endif
  #if 3000000 < GOOGLE_PROTOBUF_MIN_PROTOC_VERSION
  #error This file was generated by an older version of protoc which is
  #error incompatible with your Protocol Buffer headers.  Please
  #error regenerate this file with a newer version of protoc.
  #endif
  
  #include <google/protobuf/arena.h>
  #include <google/protobuf/arenastring.h>
  #include <google/protobuf/generated_message_util.h>
  #include <google/protobuf/metadata.h>
  #include <google/protobuf/message.h>
  #include <google/protobuf/repeated_field.h>
  #include <google/protobuf/extension_set.h>
  #include <google/protobuf/unknown_field_set.h>
  #include "tensorflow/core/framework/tensor.pb.h"
  // @@protoc_insertion_point(includes)
  
  namespace tensorflow {
  
  // Internal implementation detail -- do not call these.
  void protobuf_AddDesc_tensorflow_2fcore_2fprotobuf_2fnamed_5ftensor_2eproto();
  void protobuf_AssignDesc_tensorflow_2fcore_2fprotobuf_2fnamed_5ftensor_2eproto();
  void protobuf_ShutdownFile_tensorflow_2fcore_2fprotobuf_2fnamed_5ftensor_2eproto();
  
  class NamedTensorProto;
  
  // ===================================================================
  
  class NamedTensorProto : public ::google::protobuf::Message {
   public:
    NamedTensorProto();
    virtual ~NamedTensorProto();
  
    NamedTensorProto(const NamedTensorProto& from);
  
    inline NamedTensorProto& operator=(const NamedTensorProto& from) {
      CopyFrom(from);
      return *this;
    }
  
    static const ::google::protobuf::Descriptor* descriptor();
    static const NamedTensorProto& default_instance();
  
    void Swap(NamedTensorProto* other);
  
    // implements Message ----------------------------------------------
  
    inline NamedTensorProto* New() const { return New(NULL); }
  
    NamedTensorProto* New(::google::protobuf::Arena* arena) const;
    void CopyFrom(const ::google::protobuf::Message& from);
    void MergeFrom(const ::google::protobuf::Message& from);
    void CopyFrom(const NamedTensorProto& from);
    void MergeFrom(const NamedTensorProto& from);
    void Clear();
    bool IsInitialized() const;
  
    int ByteSize() const;
    bool MergePartialFromCodedStream(
        ::google::protobuf::io::CodedInputStream* input);
    void SerializeWithCachedSizes(
        ::google::protobuf::io::CodedOutputStream* output) const;
    ::google::protobuf::uint8* SerializeWithCachedSizesToArray(::google::protobuf::uint8* output) const;
    int GetCachedSize() const { return _cached_size_; }
    private:
    void SharedCtor();
    void SharedDtor();
    void SetCachedSize(int size) const;
    void InternalSwap(NamedTensorProto* other);
    private:
    inline ::google::protobuf::Arena* GetArenaNoVirtual() const {
      return _internal_metadata_.arena();
    }
    inline void* MaybeArenaPtr() const {
      return _internal_metadata_.raw_arena_ptr();
    }
    public:
  
    ::google::protobuf::Metadata GetMetadata() const;
  
    // nested types ----------------------------------------------------
  
    // accessors -------------------------------------------------------
  
    // optional string name = 1;
    void clear_name();
    static const int kNameFieldNumber = 1;
    const ::std::string& name() const;
    void set_name(const ::std::string& value);
    void set_name(const char* value);
    void set_name(const char* value, size_t size);
    ::std::string* mutable_name();
    ::std::string* release_name();
    void set_allocated_name(::std::string* name);
  
    // optional .tensorflow.TensorProto tensor = 2;
    bool has_tensor() const;
    void clear_tensor();
    static const int kTensorFieldNumber = 2;
    const ::tensorflow::TensorProto& tensor() const;
    ::tensorflow::TensorProto* mutable_tensor();
    ::tensorflow::TensorProto* release_tensor();
    void set_allocated_tensor(::tensorflow::TensorProto* tensor);
  
    // @@protoc_insertion_point(class_scope:tensorflow.NamedTensorProto)
   private:
  
    ::google::protobuf::internal::InternalMetadataWithArena _internal_metadata_;
    bool _is_default_instance_;
    ::google::protobuf::internal::ArenaStringPtr name_;
    ::tensorflow::TensorProto* tensor_;
    mutable int _cached_size_;
    friend void  protobuf_AddDesc_tensorflow_2fcore_2fprotobuf_2fnamed_5ftensor_2eproto();
    friend void protobuf_AssignDesc_tensorflow_2fcore_2fprotobuf_2fnamed_5ftensor_2eproto();
    friend void protobuf_ShutdownFile_tensorflow_2fcore_2fprotobuf_2fnamed_5ftensor_2eproto();
  
    void InitAsDefaultInstance();
    static NamedTensorProto* default_instance_;
  };
  // ===================================================================
  
  
  // ===================================================================
  
  #if !PROTOBUF_INLINE_NOT_IN_HEADERS
  // NamedTensorProto
  
  // optional string name = 1;
  inline void NamedTensorProto::clear_name() {
    name_.ClearToEmptyNoArena(&::google::protobuf::internal::GetEmptyStringAlreadyInited());
  }
  inline const ::std::string& NamedTensorProto::name() const {
    // @@protoc_insertion_point(field_get:tensorflow.NamedTensorProto.name)
    return name_.GetNoArena(&::google::protobuf::internal::GetEmptyStringAlreadyInited());
  }
  inline void NamedTensorProto::set_name(const ::std::string& value) {
    
    name_.SetNoArena(&::google::protobuf::internal::GetEmptyStringAlreadyInited(), value);
    // @@protoc_insertion_point(field_set:tensorflow.NamedTensorProto.name)
  }
  inline void NamedTensorProto::set_name(const char* value) {
    
    name_.SetNoArena(&::google::protobuf::internal::GetEmptyStringAlreadyInited(), ::std::string(value));
    // @@protoc_insertion_point(field_set_char:tensorflow.NamedTensorProto.name)
  }
  inline void NamedTensorProto::set_name(const char* value, size_t size) {
    
    name_.SetNoArena(&::google::protobuf::internal::GetEmptyStringAlreadyInited(),
        ::std::string(reinterpret_cast<const char*>(value), size));
    // @@protoc_insertion_point(field_set_pointer:tensorflow.NamedTensorProto.name)
  }
  inline ::std::string* NamedTensorProto::mutable_name() {
    
    // @@protoc_insertion_point(field_mutable:tensorflow.NamedTensorProto.name)
    return name_.MutableNoArena(&::google::protobuf::internal::GetEmptyStringAlreadyInited());
  }
  inline ::std::string* NamedTensorProto::release_name() {
    // @@protoc_insertion_point(field_release:tensorflow.NamedTensorProto.name)
    
    return name_.ReleaseNoArena(&::google::protobuf::internal::GetEmptyStringAlreadyInited());
  }
  inline void NamedTensorProto::set_allocated_name(::std::string* name) {
    if (name != NULL) {
      
    } else {
      
    }
    name_.SetAllocatedNoArena(&::google::protobuf::internal::GetEmptyStringAlreadyInited(), name);
    // @@protoc_insertion_point(field_set_allocated:tensorflow.NamedTensorProto.name)
  }
  
  // optional .tensorflow.TensorProto tensor = 2;
  inline bool NamedTensorProto::has_tensor() const {
    return !_is_default_instance_ && tensor_ != NULL;
  }
  inline void NamedTensorProto::clear_tensor() {
    if (GetArenaNoVirtual() == NULL && tensor_ != NULL) delete tensor_;
    tensor_ = NULL;
  }
  inline const ::tensorflow::TensorProto& NamedTensorProto::tensor() const {
    // @@protoc_insertion_point(field_get:tensorflow.NamedTensorProto.tensor)
    return tensor_ != NULL ? *tensor_ : *default_instance_->tensor_;
  }
  inline ::tensorflow::TensorProto* NamedTensorProto::mutable_tensor() {
    
    if (tensor_ == NULL) {
      tensor_ = new ::tensorflow::TensorProto;
    }
    // @@protoc_insertion_point(field_mutable:tensorflow.NamedTensorProto.tensor)
    return tensor_;
  }
  inline ::tensorflow::TensorProto* NamedTensorProto::release_tensor() {
    // @@protoc_insertion_point(field_release:tensorflow.NamedTensorProto.tensor)
    
    ::tensorflow::TensorProto* temp = tensor_;
    tensor_ = NULL;
    return temp;
  }
  inline void NamedTensorProto::set_allocated_tensor(::tensorflow::TensorProto* tensor) {
    delete tensor_;
    tensor_ = tensor;
    if (tensor) {
      
    } else {
      
    }
    // @@protoc_insertion_point(field_set_allocated:tensorflow.NamedTensorProto.tensor)
  }
  
  #endif  // !PROTOBUF_INLINE_NOT_IN_HEADERS
  
  // @@protoc_insertion_point(namespace_scope)
  
  }  // namespace tensorflow
  
  // @@protoc_insertion_point(global_scope)
  
  #endif  // PROTOBUF_tensorflow_2fcore_2fprotobuf_2fnamed_5ftensor_2eproto__INCLUDED
  