Enables, for the rest of the lifetime of this program, eager execution.
If not called immediately on startup risks creating breakage and bugs.
tfe_enable_eager_execution(
config = NULL,
device_policy = c("explicit", "warn", "silent")
)config |
(Optional) A |
device_policy |
(Optional) What policy to use when trying to run an operation on a device with inputs which are not on that device. Valid values: "explicit": raises an error if the placement is not correct. "warn": copies the tensors which are not on the right device but raises a warning. "silent": silently copies the tensors. This might hide performance problems. |
After eager execution is enabled, operations are executed as they are
defined and tensors hold concrete values, and can be accessed as R matrices
or arrays with as.matrix(), as.array(), as.double(), etc.
## Not run: # load tensorflow and enable eager execution library(tensorflow) tfe_enable_eager_execution() # create a random 10x10 matrix x <- tf$random$normal(shape(10, 10)) # use it in R via as.matrix() heatmap(as.matrix(x)) ## End(Not run)
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