override val params: List[(Variable, (STen, STen) => Unit)]
Implementation of the backward pass
Implementation of the backward pass
A list of input variables paired up with an anonymous function computing the respective partial derivative. With the notation in the documentation of the trait lamp.autograd.Op: dy/dw2 => dy/dw2 * dw2/dw1. The first argument of the anonymous function is the incoming partial derivative (dy/dw2), the second argument is the output tensor into which the result (dy/dw2 * dw2/dw1) is accumulated (added).
If the operation does not support computing the partial derivative for some of its arguments, then do not include that argument in this list.
Attributes
See also
The documentation on the trait lamp.autograd.Op for more details and example.