Return either true_fn() if predicate pred is true else false_fn().
tfp.experimental.distributions.marginal_fns.ps.cond(
pred, true_fn=None, false_fn=None, name=None
)
If pred is a bool or has a constant value, we return either true_fn()
or false_fn(), otherwise we use tf.cond to dynamically route to both.
Args |
|---|
pred
|
A scalar determining whether to return the result of true_fn or
false_fn.
|
true_fn
|
The callable to be performed if pred is true.
|
false_fn
|
The callable to be performed if pred is false.
|
name
|
Optional name prefix when using tf.cond.
|
Returns |
|---|
Tensors returned by the call to either true_fn or false_fn.
|
Raises |
|---|
TypeError
|
If true_fn or false_fn is not callable.
|
View source on GitHub