ag_while_opts {tfautograph} | R Documentation |
specify tf.while_loop
options
Description
See https://www.tensorflow.org/versions/r2.0/api_docs/python/tf/while_loop for additional details.
Usage
ag_while_opts(
...,
shape_invariants = NULL,
parallel_iterations = 10L,
back_prop = TRUE,
swap_memory = FALSE,
maximum_iterations = NULL
)
Arguments
... |
Ignored, used to ensure all arguments supplied are named. |
shape_invariants |
The shape invariants for the loop variables. |
parallel_iterations |
The number of iterations allowed to run in parallel. It must be a positive integer. |
back_prop |
Deprecated (optional). |
swap_memory |
Whether GPU-CPU memory swap is enabled for this loop. |
maximum_iterations |
Optional maximum number of iterations of the while
loop to run. If provided, the |
Value
‘NULL“ invisibly, called for it’s side effect.
Note
Use ag_name()
to supply name
and ag_loop_vars()
to supply
loop_vars
directly.
This is only applicable when autograph in graph mode, otherwise this has no effect.
Examples
## Not run:
## use tf_function() to enter graph mode:
tf_function(autograph(function(n) {
ag_name("silly-example")
ag_while_opts(back_prop = FALSE)
while(n > 0)
n <- n - 1
}))
## End(Not run)