tf.train.CheckpointOptions

Options for constructing a Checkpoint.

View aliases

Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.train.CheckpointOptions

tf.train.CheckpointOptions(
    experimental_io_device=None
)

Used as the _options argument to the tf.Checkpoint constructor to adjust how variables are saved.

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

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

Args

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.

Class Variables

• experimental_io_device