Math Vector Library 1.1 Machine Learning Extension
Programming Reference Manual C/C++
Version 1.1 DD-00004-011

4.19 vmlssgn - Softsign activation

#include <mvecml.h> 
 
void vmlssgn (int n, double *restrict y, int incy, const double *restrict x, int incx); 
void vmlssgnf(int n, float *restrict y, int incy, const float *restrict x, int incx); 
 
 
#include <mvecml64.h> 
 
void vmlssgn_64(long n, double *restrict y, long incy, const double *restrict x, long incx); 
void vmlssgnf_64(long n, float *restrict y, long incy, const float *restrict x, long incx);

Given an input vector x and a result vector y this function computes the Softsign activation function of the values in the x vector and stores the result in the y vector.

y .= -x---
    |x|+1
4.19.1 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: incy̸= 0.
BEHAVIOR: A negative stride will traverse the array in reverse.

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: incx̸= 0.
BEHAVIOR: A negative stride will traverse the array in reverse.