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syntax = "proto3";
package tensorflow;
option cc_enable_arenas = true;
option java_outer_classname = "EventProtos";
option java_multiple_files = true;
option java_package = "org.tensorflow.util";
import "tensorflow/core/framework/summary.proto";
// Protocol buffer representing an event that happened during
// the execution of a Brain model.
message Event {
// Timestamp of the event.
double wall_time = 1;
// Global step of the event.
int64 step = 2;
oneof what {
// An event file was started, with the specified version.
// This is use to identify the contents of the record IO files
// easily. Current version is "brain.Event:2". All versions
// start with "brain.Event:".
string file_version = 3;
// An encoded version of a GraphDef.
bytes graph_def = 4;
// A summary was generated.
Summary summary = 5;
// The user output a log message. Not all messages are logged, only ones
// generated via the Python tensorboard_logging module.
LogMessage log_message = 6;
// The state of the session which can be used for restarting after crashes.
SessionLog session_log = 7;
// The metadata returned by running a session.run() call.
TaggedRunMetadata tagged_run_metadata = 8;
}
}
// Protocol buffer used for logging messages to the events file.
message LogMessage {
enum Level {
UNKNOWN = 0;
DEBUG = 10;
INFO = 20;
WARN = 30;
ERROR = 40;
FATAL = 50;
}
Level level = 1;
string message = 2;
}
// Protocol buffer used for logging session state.
message SessionLog {
enum SessionStatus {
STATUS_UNSPECIFIED = 0;
START = 1;
STOP = 2;
CHECKPOINT = 3;
}
SessionStatus status = 1;
// This checkpoint_path contains both the path and filename.
string checkpoint_path = 2;
string msg = 3;
}
// For logging the metadata output for a single session.run() call.
message TaggedRunMetadata {
// Tag name associated with this metadata.
string tag = 1;
// Byte-encoded version of the `RunMetadata` proto in order to allow lazy
// deserialization.
bytes run_metadata = 2;
}
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