fix: don't use tasks' divide method (deprecated soon)

R/LearnerTorch.R

@@ -11,8 +11,7 @@
 #' * `NULL`: no validation
 #' * `ratio`: only proportion `1 - ratio` of the task is used for training and `ratio` is used for validation.
 #' * `"test"` means that the `"test"` task of a resampling is used and is not possible when calling `$train()` manually.
-#' * `"predefined"`: This will use the predefined `$internal_valid_task` of a [`mlr3::Task`], which can e.g.
-#'   be created using the `$divide()` method  of `Task`.
+#' * `"predefined"`: This will use the predefined `$internal_valid_task` of a [`mlr3::Task`].
 #'
 #' This validation data can also be used for early stopping, see the description of the `Learner`'s parameters.
 #'

tests/testthat/test_CallbackSetHistory.R

@@ -6,7 +6,7 @@ test_that("Autotest", {
 test_that("CallbackSetHistory works", {
   cb = t_clbk("history")
   task = tsk("iris")
-  task$divide(ids = 2)
+  task$internal_valid_task = task$clone(deep = TRUE)$filter(2)
   task$filter(1)
 
   learner = lrn("classif.mlp", epochs = 3, batch_size = 1, callbacks = t_clbk("history"), validate = "predefined")

tests/testthat/test_CallbackSetProgress.R

@@ -9,7 +9,7 @@ test_that("manual test", {
     drop_last = FALSE, shuffle = TRUE, validate = "predefined"
   )
   task = tsk("iris")
-  task$divide(ids = 2)
+  task$internal_valid_task = task$clone(deep = TRUE)$filter(2)
   task$filter(1)
 
   # Because the validation is so short, it does not show in the example

tests/testthat/test_LearnerTorch.R

@@ -252,8 +252,7 @@ test_that("train parameters do what they should: classification and regression",
     )
 
     # first we test everything with validation
-
-    task$divide(ratio = 2 / 3)
+    learner$validate = 0.3
     learner$train(task)
 
     internals = learner$model$callbacks$internals
@@ -287,7 +286,6 @@ test_that("train parameters do what they should: classification and regression",
     expect_permutation(c("epoch", ids(measures_valid)), colnames(learner$model$callbacks$history$valid))
 
     # now without validation
-    task$internal_valid_task = NULL
     learner$validate = NULL
 
     learner$state = NULL

tests/testthat/test_learner_torch_methods.R

@@ -76,7 +76,8 @@ test_that("torch_network_predict works", {
 
 test_that("Validation Task is respected", {
   task = tsk("iris")
-  task$divide(ids = 1:10)
+  task$internal_valid_task = task$clone(deep = TRUE)$filter(1:10)
+  task$row_roles$use = 1:10
 
   learner = lrn("classif.torch_featureless", epochs = 2, batch_size = 1, measures_train = msrs(c("classif.acc")),
     callbacks = t_clbk("history"), validate = "predefined"