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Calls torchvision::transform_random_crop, see there for more information on the parameters. The preprocessing is applied row wise (no batch dimension).

Format

R6Class inheriting from PipeOpTaskPreprocTorch.

Parameters

IdTypeDefaultLevels
sizeuntyped-
paddinguntypedNULL
pad_if_neededlogicalFALSETRUE, FALSE
filluntyped0L
padding_modecharacterconstantconstant, edge, reflect, symmetric
stagescharacter-train, predict, both
affect_columnsuntypedselector_all()