iterable_dataset {torch} | R Documentation |
Creates an iterable dataset
Description
Creates an iterable dataset
Usage
iterable_dataset(
name,
inherit = IterableDataset,
...,
private = NULL,
active = NULL,
parent_env = parent.frame()
)
Arguments
name |
a name for the dataset. It it's also used as the class for it. |
inherit |
you can optionally inherit from a dataset when creating a new dataset. |
... |
public methods for the dataset class |
private |
passed to |
active |
passed to |
parent_env |
An environment to use as the parent of newly-created objects. |
Examples
if (torch_is_installed()) {
ids <- iterable_dataset(
name = "hello",
initialize = function(n = 5) {
self$n <- n
self$i <- 0
},
.iter = function() {
i <- 0
function() {
i <<- i + 1
if (i > self$n) {
coro::exhausted()
} else {
i
}
}
}
)
coro::collect(ids()$.iter())
}
[Package torch version 0.13.0 Index]