vmlsplud - Softplus activation (first derivative)

Math Vector Library Machine Learning Extension
Programming Reference Manual C/C++
Version 1.0 DD-00004-010

4.8 vmlsplud - Softplus activation (first derivative)

#include <mvecml.h>

void vmlsplud (int n, double *y, int incy, const double *x, int incx);
void vmlspludf(int n, float *y, int incy, const float *x, int incx);

Given an input vector $x$ and a result vector $y$ this function computes the first derivative of the Softplus activation function of the values in the $x$ vector and stores the result in the $y$ vector.

y=.---1-- 1+ e-x

4.8.1 Parameters

N - INTEGER: ENTRY: Number of elements of $x$ and $y$ .
CONSTRAINT: $n ≥1$ .
Y - ARRAY OF REAL: EXIT: Result vector $y$ .
CONSTRAINT: Must contain $n× incy$ elements.
CONSTRAINT: Must not overlap with array $x$ .
INCY - INTEGER: ENTRY: Stride for the vector $y$ .
CONSTRAINT: $incy> 0$ .
X - ARRAY OF REAL: ENTRY: Input vector $x$ .
CONSTRAINT: Must contain $n× incx$ elements.
CONSTRAINT: Must not overlap with array $y$ .
INCX - INTEGER: ENTRY: Stride for the vector $x$ .
CONSTRAINT: $incx> 0$ .

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