training

package
v0.0.0-...-d1695c4 Latest Latest
Warning

This package is not in the latest version of its module.

Go to latest
Published: Sep 29, 2021 License: Apache-2.0 Imports: 3 Imported by: 0

Documentation

Overview

Package training is a generated protocol buffer package.

It is generated from these files:

tensorflow/python/training/checkpoint_state.proto

It has these top-level messages:

CheckpointState

Index

Constants

This section is empty.

Variables

This section is empty.

Functions

This section is empty.

Types

type CheckpointState

type CheckpointState struct {
	// Path to the most-recent model checkpoint.
	ModelCheckpointPath string `protobuf:"bytes,1,opt,name=model_checkpoint_path,json=modelCheckpointPath" json:"model_checkpoint_path,omitempty"`
	// Paths to all not-yet-deleted model checkpoints, sorted from oldest to
	// newest.
	// Note that the value of model_checkpoint_path should be the last item in
	// this list.
	AllModelCheckpointPaths []string `` /* 127-byte string literal not displayed */
}

Protocol buffer representing the checkpoint state.

TODO(touts): Add other attributes as needed.

func (*CheckpointState) Descriptor

func (*CheckpointState) Descriptor() ([]byte, []int)

func (*CheckpointState) GetAllModelCheckpointPaths

func (m *CheckpointState) GetAllModelCheckpointPaths() []string

func (*CheckpointState) GetModelCheckpointPath

func (m *CheckpointState) GetModelCheckpointPath() string

func (*CheckpointState) ProtoMessage

func (*CheckpointState) ProtoMessage()

func (*CheckpointState) Reset

func (m *CheckpointState) Reset()

func (*CheckpointState) String

func (m *CheckpointState) String() string

Jump to

Keyboard shortcuts

? : This menu
/ : Search site
f or F : Jump to
y or Y : Canonical URL