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Java API for TensorFlow protocol buffers.
// Generated by the protocol buffer compiler. DO NOT EDIT!
// source: tensorflow/core/util/event.proto
package org.tensorflow.util;
public final class EventProtos {
private EventProtos() {}
public static void registerAllExtensions(
com.google.protobuf.ExtensionRegistryLite registry) {
}
public static void registerAllExtensions(
com.google.protobuf.ExtensionRegistry registry) {
registerAllExtensions(
(com.google.protobuf.ExtensionRegistryLite) registry);
}
static final com.google.protobuf.Descriptors.Descriptor
internal_static_tensorflow_Event_descriptor;
static final
com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
internal_static_tensorflow_Event_fieldAccessorTable;
static final com.google.protobuf.Descriptors.Descriptor
internal_static_tensorflow_LogMessage_descriptor;
static final
com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
internal_static_tensorflow_LogMessage_fieldAccessorTable;
static final com.google.protobuf.Descriptors.Descriptor
internal_static_tensorflow_SessionLog_descriptor;
static final
com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
internal_static_tensorflow_SessionLog_fieldAccessorTable;
static final com.google.protobuf.Descriptors.Descriptor
internal_static_tensorflow_TaggedRunMetadata_descriptor;
static final
com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
internal_static_tensorflow_TaggedRunMetadata_fieldAccessorTable;
public static com.google.protobuf.Descriptors.FileDescriptor
getDescriptor() {
return descriptor;
}
private static com.google.protobuf.Descriptors.FileDescriptor
descriptor;
static {
java.lang.String[] descriptorData = {
"\n tensorflow/core/util/event.proto\022\ntens" +
"orflow\032\'tensorflow/core/framework/summar" +
"y.proto\"\273\002\n\005Event\022\021\n\twall_time\030\001 \001(\001\022\014\n\004" +
"step\030\002 \001(\003\022\026\n\014file_version\030\003 \001(\tH\000\022\023\n\tgr" +
"aph_def\030\004 \001(\014H\000\022&\n\007summary\030\005 \001(\0132\023.tenso" +
"rflow.SummaryH\000\022-\n\013log_message\030\006 \001(\0132\026.t" +
"ensorflow.LogMessageH\000\022-\n\013session_log\030\007 " +
"\001(\0132\026.tensorflow.SessionLogH\000\022<\n\023tagged_" +
"run_metadata\030\010 \001(\0132\035.tensorflow.TaggedRu" +
"nMetadataH\000\022\030\n\016meta_graph_def\030\t \001(\014H\000B\006\n",
"\004what\"\231\001\n\nLogMessage\022+\n\005level\030\001 \001(\0162\034.te" +
"nsorflow.LogMessage.Level\022\017\n\007message\030\002 \001" +
"(\t\"M\n\005Level\022\013\n\007UNKNOWN\020\000\022\r\n\tDEBUGGING\020\n\022" +
"\010\n\004INFO\020\024\022\010\n\004WARN\020\036\022\t\n\005ERROR\020(\022\t\n\005FATAL\020" +
"2\"\266\001\n\nSessionLog\0224\n\006status\030\001 \001(\0162$.tenso" +
"rflow.SessionLog.SessionStatus\022\027\n\017checkp" +
"oint_path\030\002 \001(\t\022\013\n\003msg\030\003 \001(\t\"L\n\rSessionS" +
"tatus\022\026\n\022STATUS_UNSPECIFIED\020\000\022\t\n\005START\020\001" +
"\022\010\n\004STOP\020\002\022\016\n\nCHECKPOINT\020\003\"6\n\021TaggedRunM" +
"etadata\022\013\n\003tag\030\001 \001(\t\022\024\n\014run_metadata\030\002 \001",
"(\014B\'\n\023org.tensorflow.utilB\013EventProtosP\001" +
"\370\001\001b\006proto3"
};
com.google.protobuf.Descriptors.FileDescriptor.InternalDescriptorAssigner assigner =
new com.google.protobuf.Descriptors.FileDescriptor. InternalDescriptorAssigner() {
public com.google.protobuf.ExtensionRegistry assignDescriptors(
com.google.protobuf.Descriptors.FileDescriptor root) {
descriptor = root;
return null;
}
};
com.google.protobuf.Descriptors.FileDescriptor
.internalBuildGeneratedFileFrom(descriptorData,
new com.google.protobuf.Descriptors.FileDescriptor[] {
org.tensorflow.framework.SummaryProtos.getDescriptor(),
}, assigner);
internal_static_tensorflow_Event_descriptor =
getDescriptor().getMessageTypes().get(0);
internal_static_tensorflow_Event_fieldAccessorTable = new
com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
internal_static_tensorflow_Event_descriptor,
new java.lang.String[] { "WallTime", "Step", "FileVersion", "GraphDef", "Summary", "LogMessage", "SessionLog", "TaggedRunMetadata", "MetaGraphDef", "What", });
internal_static_tensorflow_LogMessage_descriptor =
getDescriptor().getMessageTypes().get(1);
internal_static_tensorflow_LogMessage_fieldAccessorTable = new
com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
internal_static_tensorflow_LogMessage_descriptor,
new java.lang.String[] { "Level", "Message", });
internal_static_tensorflow_SessionLog_descriptor =
getDescriptor().getMessageTypes().get(2);
internal_static_tensorflow_SessionLog_fieldAccessorTable = new
com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
internal_static_tensorflow_SessionLog_descriptor,
new java.lang.String[] { "Status", "CheckpointPath", "Msg", });
internal_static_tensorflow_TaggedRunMetadata_descriptor =
getDescriptor().getMessageTypes().get(3);
internal_static_tensorflow_TaggedRunMetadata_fieldAccessorTable = new
com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
internal_static_tensorflow_TaggedRunMetadata_descriptor,
new java.lang.String[] { "Tag", "RunMetadata", });
org.tensorflow.framework.SummaryProtos.getDescriptor();
}
// @@protoc_insertion_point(outer_class_scope)
}
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