View source on GitHub |
Basic loop to train a model.
tf.compat.v1.train.basic_train_loop(
supervisor, train_step_fn, args=None, kwargs=None, master=''
)
Calls train_step_fn
in a loop to train a model. The function is called as:
train_step_fn(session, *args, **kwargs)
It is passed a tf.compat.v1.Session
in addition to args
and kwargs
. The
function
typically runs one training step in the session.
supervisor
: tf.compat.v1.train.Supervisor
to run the training services.train_step_fn
: Callable to execute one training step. Called repeatedly as
train_step_fn(session, *args **kwargs)
.args
: Optional positional arguments passed to train_step_fn
.kwargs
: Optional keyword arguments passed to train_step_fn
.master
: Master to use to create the training session. Defaults to ""
which causes the session to be created in the local process.