library(tfautograph)
## square if positive
# using tf$cond directly:
raw <- function(x) tf$cond(x > 0, function() x * x, function() x)
# using tf_cond() wrapper
tilde <- function(x) tf_cond(x > 0, ~ x * x, ~ x) tf_cond
tf.cond
Description
This is a minimal wrapper around tf$cond() that allows you to supply true_fn and false_fn as lambda functions defined using the tilde ~.
Usage
tf_cond(pred, true_fn, false_fn, name = NULL) Arguments
| Arguments | Description |
|---|---|
| pred | R logical or a tensor. |
| true_fn, false_fn | a ~ function, a function, or something coercible to a function via as.function |
| name | a string, passed on to tf.cond() |
Value
if cond is a tensor, then the result of tf.cond(). Otherwise, if pred is an EagerTensor or an R logical, then the result of either true_fn() or false_fn()
Note
in Tensorflow version 1, the strict keyword argument is supplied with a value of TRUE (different from the default)