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tf.train.CheckpointOptions

Options for constructing a Checkpoint.

Used as the options argument to either tf.train.Checkpoint.save() or tf.train.Checkpoint.restore() methods to adjust how variables are saved/restored.

Example: Run IO ops on "localhost" while saving a checkpoint:

step = tf.Variable(0, name="step")
checkpoint = tf.train.Checkpoint(step=step)
options = tf.train.CheckpointOptions(experimental_io_device="/job:localhost")
checkpoint.save("/tmp/ckpt", options=options)

experimental_io_device string. Applies in a distributed setting. Tensorflow device to use to access the filesystem. If None (default) then for each variable the filesystem is accessed from the CPU:0 device of the host where that variable is assigned. If specified, the filesystem is instead accessed from that device for all variables.

This is for example useful if you want to save to a local directory, such as "/tmp" when running in a distributed setting. In that case pass a device for the host where the "/tmp" directory is accessible.

experimental_io_device Instance of member_descriptor