Bilinear
Applies a bilinear transformation to the incoming data: y = x_1 A x_2 + b
nnf_bilinear(input1, input2, weight, bias = NULL)
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}) |
output (N, *, H_{out}) where H_{out}=\mbox{out\_features} and all but the last dimension are the same shape as the input.
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