[[<-.tensorflow.python.ops.tensor_array_ops.TensorArray {tfautograph} | R Documentation |
TensorArray.write()
Description
TensorArray.write()
Usage
## S3 replacement method for class 'tensorflow.python.ops.tensor_array_ops.TensorArray'
ta[[i, ..., name = NULL]] <- value
Arguments
ta |
a tensorflow |
i |
something castable to an int32 scalar tensor. 0-based. |
... |
Error if anything is passed to |
name |
A scalar string, name of the op |
value |
The value to write. |
Examples
## Not run:
ta <- tf$TensorArray(tf$float32, size = 5L)
for(i in 0:4)
ta[[i]] <- i
ta$stack()
# You can use this to grow objects in graph mode
accuracies_log <- tf$TensorArray(tf$float32, size = 0L, dynamic_size=TRUE)
for(epoch in 0:4)
accuracies_log[[epoch]] <- runif(1)
acc <- accuracies_log$stack()
acc
## End(Not run)
[Package tfautograph version 0.3.2 Index]