Create a case operation.

Used in the notebooks

Used in the tutorials

See also tf.switch_case.

The pred_fn_pairs parameter is a list of pairs of size N. Each pair contains a boolean scalar tensor and a python callable that creates the tensors to be returned if the boolean evaluates to True. default is a callable generating a list of tensors. All the callables in pred_fn_pairs as well as default (if provided) should return the same number and types of tensors.

If exclusive==True, all predicates are evaluated, and an exception is thrown if more than one of the predicates evaluates to True. If exclusive==False, execution stops at the first predicate which evaluates to True, and the tensors generated by the corresponding function are returned immediately. If none of the predicates evaluate to True, this operation returns the tensors generated by default. supports nested structures as implemented in tf.contrib.framework.nest. All of the callables must return the same (possibly nested) value structure of lists, tuples, and/or named tuples. Singleton lists and tuples form the only exceptions to this: when returned by a callable, they are implicitly unpacked to single values. This behavior is disabled by passing strict=True.

Example 1:


if (x < y) return 17;
else return 23;


f1 = lambda: tf.constant(17)
f2 = lambda: tf.constant(23)
r =[(tf.less(x, y), f1)], default=f2)

Example 2:


if (x < y && x > z) raise OpError("Only one predicate may evaluate to True");
if (x < y) return 17;
else if (x > z) return 23;
else return -1;


def f1(): return tf.constant(17)
def f2(): return tf.constant(23)
def f3(): return tf.constant(-1)
r =[(tf.less(x, y), f1), (tf.greater(x, z), f2)],
         default=f3, exclusive=True)

pred_fn_pairs List of pairs of a