org.tensorflow.proto.util

 Describes the metadata related to a checkpointed tensor. 

 Special header that is associated with a bundle. 

 Code location information: A stack trace with host-name information. 

 An Event related to the debugging of a TensorFlow program. 

 A device on which ops and/or tensors are instrumented by the debugger. 

 A debugger-instrumented graph. 

 Metadata about the debugger and the debugged TensorFlow program. 

 Protocol buffer representing an event that happened during
 the execution of a Brain model. 

 Data relating to the eager execution of an op or a Graph. 

 Data relating to an execution of a Graph (e.g., an eager execution of a
 FuncGraph). 

 The creation of an op in a TensorFlow Graph (e.g., FuncGraph in TF2). 

 Protocol buffer used for logging messages to the events file. 

 Some of the data from AllocatorStats
 

 A directory of regions in a memmapped file. 

 A message that describes one region of memmapped file. 

 Saved tensor slice: it stores the name of the tensors, the slice, and the
 raw data. 

 Metadata describing the set of slices of the same tensor saved in a
 checkpoint file. 

 Metadata describing the set of tensor slices saved in a checkpoint file. 

 Each record in a v3 checkpoint file is a serialized SavedTensorSlices
 message. 

 Protocol buffer representing the configuration of a Saver. 

 Protocol buffer used for logging session state. 

 Content of a source file involved in the execution of the debugged TensorFlow
 program. 

 A stack frame with ID. 

 For logging the metadata output for a single session.run() call. 

 An enum indicating the endianness of the platform that produced this
 bundle. 

 A version number that identifies a different on-disk checkpoint format. 

 Available modes for extracting debugging information from a Tensor. 

 Indicates the behavior of the worker when an internal error or shutdown
 signal is received.