lazy_tensor: Create a lazy tensor

In mlr3torch: Deep Learning with 'mlr3'

Create a lazy tensor

Description

Create a lazy tensor.

Usage

lazy_tensor(data_descriptor = NULL, ids = NULL)

Arguments

data_descriptor	(DataDescriptor or NULL) The data descriptor or NULL for a lazy tensor of length 0.
ids	(integer()) The elements of the data_descriptor to be included in the lazy tensor.

Examples

ds = dataset("example",
  initialize = function() self$iris = iris[, -5],
  .getitem = function(i) list(x = torch_tensor(as.numeric(self$iris[i, ]))),
  .length = function() nrow(self$iris)
)()
dd = as_data_descriptor(ds, list(x = c(NA, 4L)))
lt = as_lazy_tensor(dd)

mlr3torch documentation built on April 4, 2025, 3:03 a.m.