text: // Generated by the protocol buffer compiler.  DO NOT EDIT!
  // source: tensorflow/core/debug/debug_service.proto
  
  #ifndef PROTOBUF_tensorflow_2fcore_2fdebug_2fdebug_5fservice_2eproto__INCLUDED
  #define PROTOBUF_tensorflow_2fcore_2fdebug_2fdebug_5fservice_2eproto__INCLUDED
  
  #include <string>
  
  #include <google/protobuf/stubs/common.h>
  
  #if GOOGLE_PROTOBUF_VERSION < 3001000
  #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 3001000 < 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>  // IWYU pragma: export
  #include <google/protobuf/extension_set.h>  // IWYU pragma: export
  #include <google/protobuf/unknown_field_set.h>
  #include "tensorflow/core/util/event.pb.h"
  // @@protoc_insertion_point(includes)
  namespace tensorflow {
  class Event;
  class EventDefaultTypeInternal;
  extern EventDefaultTypeInternal _Event_default_instance_;
  class EventReply;
  class EventReplyDefaultTypeInternal;
  extern EventReplyDefaultTypeInternal _EventReply_default_instance_;
  class LogMessage;
  class LogMessageDefaultTypeInternal;
  extern LogMessageDefaultTypeInternal _LogMessage_default_instance_;
  class SessionLog;
  class SessionLogDefaultTypeInternal;
  extern SessionLogDefaultTypeInternal _SessionLog_default_instance_;
  class TaggedRunMetadata;
  class TaggedRunMetadataDefaultTypeInternal;
  extern TaggedRunMetadataDefaultTypeInternal _TaggedRunMetadata_default_instance_;
  }  // namespace tensorflow
  
  namespace tensorflow {
  
  // Internal implementation detail -- do not call these.
  void protobuf_AddDesc_tensorflow_2fcore_2fdebug_2fdebug_5fservice_2eproto();
  void protobuf_InitDefaults_tensorflow_2fcore_2fdebug_2fdebug_5fservice_2eproto();
  
  // ===================================================================
  
  class EventReply : public ::google::protobuf::Message /* @@protoc_insertion_point(class_definition:tensorflow.EventReply) */ {
   public:
    EventReply();
    virtual ~EventReply();
  
    EventReply(const EventReply& from);
  
    inline EventReply& operator=(const EventReply& from) {
      CopyFrom(from);
      return *this;
    }
  
    static const ::google::protobuf::Descriptor* descriptor();
    static const EventReply& default_instance();
  
    static inline const EventReply* internal_default_instance() {
      return reinterpret_cast<const EventReply*>(
                 &_EventReply_default_instance_);
    }
  
    void Swap(EventReply* other);
  
    // implements Message ----------------------------------------------
  
    inline EventReply* New() const PROTOBUF_FINAL { return New(NULL); }
  
    EventReply* New(::google::protobuf::Arena* arena) const PROTOBUF_FINAL;
    void CopyFrom(const ::google::protobuf::Message& from) PROTOBUF_FINAL;
    void MergeFrom(const ::google::protobuf::Message& from) PROTOBUF_FINAL;
    void CopyFrom(const EventReply& from);
    void MergeFrom(const EventReply& from);
    void Clear() PROTOBUF_FINAL;
    bool IsInitialized() const PROTOBUF_FINAL;
  
    size_t ByteSizeLong() const PROTOBUF_FINAL;
    bool MergePartialFromCodedStream(
        ::google::protobuf::io::CodedInputStream* input) PROTOBUF_FINAL;
    void SerializeWithCachedSizes(
        ::google::protobuf::io::CodedOutputStream* output) const PROTOBUF_FINAL;
    ::google::protobuf::uint8* InternalSerializeWithCachedSizesToArray(
        bool deterministic, ::google::protobuf::uint8* target) const PROTOBUF_FINAL;
    ::google::protobuf::uint8* SerializeWithCachedSizesToArray(::google::protobuf::uint8* output)
        const PROTOBUF_FINAL {
      return InternalSerializeWithCachedSizesToArray(false, output);
    }
    int GetCachedSize() const PROTOBUF_FINAL { return _cached_size_; }
    private:
    void SharedCtor();
    void SharedDtor();
    void SetCachedSize(int size) const PROTOBUF_FINAL;
    void InternalSwap(EventReply* other);
    private:
    inline ::google::protobuf::Arena* GetArenaNoVirtual() const {
      return NULL;
    }
    inline void* MaybeArenaPtr() const {
      return NULL;
    }
    public:
  
    ::google::protobuf::Metadata GetMetadata() const PROTOBUF_FINAL;
  
    // nested types ----------------------------------------------------
  
    // accessors -------------------------------------------------------
  
    // @@protoc_insertion_point(class_scope:tensorflow.EventReply)
   private:
  
    ::google::protobuf::internal::InternalMetadataWithArena _internal_metadata_;
    mutable int _cached_size_;
    friend void  protobuf_InitDefaults_tensorflow_2fcore_2fdebug_2fdebug_5fservice_2eproto_impl();
    friend void  protobuf_AddDesc_tensorflow_2fcore_2fdebug_2fdebug_5fservice_2eproto_impl();
    friend const ::google::protobuf::uint32* protobuf_Offsets_tensorflow_2fcore_2fdebug_2fdebug_5fservice_2eproto();
    friend void protobuf_ShutdownFile_tensorflow_2fcore_2fdebug_2fdebug_5fservice_2eproto();
  
  };
  // ===================================================================
  
  
  // ===================================================================
  
  #if !PROTOBUF_INLINE_NOT_IN_HEADERS
  // EventReply
  
  #endif  // !PROTOBUF_INLINE_NOT_IN_HEADERS
  
  // @@protoc_insertion_point(namespace_scope)
  
  
  }  // namespace tensorflow
  
  // @@protoc_insertion_point(global_scope)
  
  #endif  // PROTOBUF_tensorflow_2fcore_2fdebug_2fdebug_5fservice_2eproto__INCLUDED
  