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Calculates the product of all input tensors.

nn_module

Calls nn_merge_prod() when trained.

Parameters

No parameters.

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.

State

The state is the value calculated by the public method $shapes_out().

Super classes

mlr3pipelines::PipeOp -> PipeOpTorch -> PipeOpTorchMerge -> PipeOpTorchMergeProd

Methods

Inherited methods


PipeOpTorchMergeProd$new()

Creates a new instance of this R6 class.

Usage

PipeOpTorchMergeProd$new(id = "nn_merge_prod", 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.


PipeOpTorchMergeProd$clone()

The objects of this class are cloneable with this method.

Usage

PipeOpTorchMergeProd$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.

Examples

# Construct the PipeOp
pipeop = nn("merge_prod")
pipeop
#> 
#> ── PipeOp <merge_prod>: 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.