tf.train.basic_train_loop(supervisor, train_step_fn, args=None, kwargs=None, master='')

tf.train.basic_train_loop(supervisor, train_step_fn, args=None, kwargs=None, master='')

See the guide: Training > Training Utilities

Basic loop to train a model.

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.Session in addition to args and kwargs. The function typically runs one training step in the session.

Args:

• supervisor: tf.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.

Defined in tensorflow/python/training/basic_loops.py.