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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
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