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TensorFlow 1 version
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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: Manages saving/restoring trackable values to disk.
class CheckpointManager: Manages multiple checkpoints by keeping some and deleting unneeded ones.
class CheckpointOptions: Options for constructing a Checkpoint.
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(...): Lists the checkpoint keys and shapes of variables in a 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.