blob: 83350b9b7ac9d2dc69d2f690de820571901f84e6 [file]
#-------------------------------------------------------------
#
# Licensed to the Apache Software Foundation (ASF) under one
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# to you under the Apache License, Version 2.0 (the
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#-------------------------------------------------------------
/*
* SeLU (Scaled Exponential Linear Unit) nonlinearity layer.
*/
forward = function(matrix[double] X)
return (matrix[double] out) {
/*
* Computes the forward pass for a SeLU nonlinearity layer.
*
* selu(x) = lambda * ( x if x > 0
* α * (exp(x) - 1) if x <= 0 )
*
* Inputs:
* - X: Inputs, of shape (any, any).
*
* Outputs:
* - out: Outputs, of same shape as `X`.
*/
alpha = 1.6732632423543772
lambda = 1.0507009873554805
out = (X > 0) * (lambda * X) +
(X <= 0) * (lambda * alpha * (exp(X) - 1))
}
backward = function(matrix[double] dout, matrix[double] X)
return (matrix[double] dX) {
/*
* Computes the backward pass for a SeLU nonlinearity layer.
*
* Inputs:
* - dout: Gradient wrt `out` from upstream, of same shape as `X`.
* - X: Inputs, of shape (any, any).
*
* Outputs:
* - dX: Gradient wrt `X`, of same shape as `X`.
*/
alpha = 1.6732632423543772
lambda = 1.0507009873554805
dselu = (X > 0) * lambda +
(X <= 0) * (lambda * alpha * exp(X))
dX = dselu * dout
}