nnf_bilinear: Bilinear

Description Usage Arguments Value

View source: R/nnf-linear.R

Description

Applies a bilinear transformation to the incoming data: y = x_1 A x_2 + b

Usage

1
nnf_bilinear(input1, input2, weight, bias = NULL)

Arguments

input1

(N, *, H_{in1}) where H_{in1}=\mbox{in1\_features} and * means any number of additional dimensions. All but the last dimension of the inputs should be the same.

input2

(N, *, H_{in2}) where H_{in2}=\mbox{in2\_features}

weight

(\mbox{out\_features}, \mbox{in1\_features}, \mbox{in2\_features})

bias

(\mbox{out\_features})

Value

output (N, *, H_{out}) where H_{out}=\mbox{out\_features} and all but the last dimension are the same shape as the input.


torch documentation built on Oct. 7, 2021, 9:22 a.m.