Support for training models.
See the Training guide.
Modules
experimental
module: Public API for tf.train.experimental namespace.
Classes
class BytesList
: A ProtocolMessage
class Checkpoint
: Groups trackable objects, saving and restoring them.
class CheckpointManager
: Deletes old checkpoints.
class ClusterDef
: A ProtocolMessage
class ClusterSpec
: Represents a cluster as a set of "tasks", organized into "jobs".
class Coordinator
: A coordinator for threads.
class Example
: A ProtocolMessage
class ExponentialMovingAverage
: Maintains moving averages of variables by employing an exponential decay.
class Feature
: A ProtocolMessage
class FeatureList
: A ProtocolMessage
class FeatureLists
: A ProtocolMessage
class Features
: A ProtocolMessage
class FloatList
: A ProtocolMessage
class Int64List
: A ProtocolMessage
class JobDef
: A ProtocolMessage
class SequenceExample
: A ProtocolMessage
class ServerDef
: A ProtocolMessage
Functions
checkpoints_iterator(...)
: Continuously yield new checkpoint files as they appear.
get_checkpoint_state(...)
: Returns CheckpointState proto from the "checkpoint" file.
latest_checkpoint(...)
: Finds the filename of latest saved checkpoint file.
list_variables(...)
: Returns list of all variables in the checkpoint.
load_checkpoint(...)
: Returns CheckpointReader
for checkpoint found in ckpt_dir_or_file
.
load_variable(...)
: Returns the tensor value of the given variable in the checkpoint.