Calculates the sum of all input tensors.
nn_module
Calls nn_merge_sum() when trained.
Input and Output Channels
One input channel called "input" and one output channel called "output".
For an explanation see PipeOpTorch.
PipeOpTorchMerges has either a vararg input channel if the constructor argument innum is not set, or
input channels "input1", ..., "input<innum>". There is one output channel "output".
For an explanation see PipeOpTorch.
Super classes
mlr3pipelines::PipeOp -> PipeOpTorch -> PipeOpTorchMerge -> PipeOpTorchMergeSum
Methods
PipeOpTorchMergeSum$new()
Creates a new instance of this R6 class.
Usage
PipeOpTorchMergeSum$new(id = "nn_merge_sum", innum = 0, param_vals = list())Arguments
id(
character(1))
Identifier of the resulting object.innum(
integer(1))
The number of inputs. Default is 0 which means there is one vararg input channel.param_vals(
list())
List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise be set during construction.
Examples
# Construct the PipeOp
pipeop = nn("merge_sum")
pipeop
#>
#> ── PipeOp <merge_sum>: not trained ─────────────────────────────────────────────
#> Values: list()
#>
#> ── Input channels:
#> name train predict
#> <char> <char> <char>
#> ... ModelDescriptor Task
#>
#> ── Output channels:
#> name train predict
#> <char> <char> <char>
#> output ModelDescriptor Task
# The available parameters
pipeop$param_set
#> <ParamSet(0)>
#> Empty.