Minor spelling fixes in tf/saver.py
@@ -55,7 +55,7 @@ class Checkpointer:
This can be used to checkpoint any object with trackable state (e.g.
tensorflow variables or modules); see tf.train.Checkpoint for
details. Objects inheriting from tf.train.experimental.PythonState can also
- be checkointed.
+ be checkpointed.
Typically people use Checkpointer to make sure that they can correctly recover
from a machine going down during learning. For more permanent storage of self-
@@ -171,7 +171,7 @@ class CheckpointingRunner(core.Worker):
"""Wrap an object and expose a run method which checkpoints periodically.
This internally creates a Checkpointer around `wrapped` object and exposes
- all of the methods of `wrapped`. Additionally, anay `**kwargs` passed to the
+ all of the methods of `wrapped`. Additionally, any `**kwargs` passed to the
runner are forwarded to the internal Checkpointer.
"""
@@ -240,7 +240,7 @@ class Snapshotter:
"""Convenience class for periodically snapshotting.
Objects which can be snapshotted are limited to Sonnet or tensorflow Modules
- which implement a a __call__ method. This will save the module's graph and
+ which implement a __call__ method. This will save the module's graph and
variables such that they can be loaded later using `tf.saved_model.load`. See
https://www.tensorflow.org/guide/saved_model for more details.
