orbit.StandardEvaluatorOptions

Advanced options for the orbit.StandardEvaluator.

orbit.StandardEvaluatorOptions(
 use_tf_function: bool = True,
 use_tf_while_loop: bool = False,
 recreate_iterator_for_each_eval: bool = True
)

Attributes
`use_tf_function`	A boolean indicating whether to apply `tf.function` to the evaluation loop. This will only affect the body of the loop (involving `eval_step`); `eval_loop_begin` and `eval_loop_end` will always be run in eager mode.
`use_tf_while_loop`	A boolean indicating whether to run the evaluation loop using a `tf.while_loop`. If `True`, `use_tf_function` must also be `True`.
`recreate_iterator_for_each_eval`	A boolean indicating whether to recreate a new iterator for the evaluation dataset before each round of evaluation, which implies each round of evaluation starts from the beginning of the evaluation dataset. For example, the evaluation dataset is `[1, 2, 3, 4]`, batch size is 1 and evaluation steps is 2. If `True`, the data to be evaluated is [1, 2] every time. If `False`, the iterator state is maintained between calls to `StandardEvaluator.evaluate()`.

Methods

__eq__(
 other
)

Class Variables
recreate_iterator_for_each_eval	`True`
use_tf_function	`True`
use_tf_while_loop	`False`