`mx.symbol.hard_sigmoid`¶

Description¶

Computes hard sigmoid of x element-wise.

\[y = max(0, min(1, alpha * x + beta))\]

mx.symbol.hard_sigmoid(...)

Argument	Description
`data`	NDArray-or-Symbol. The input array.
`alpha`	float, optional, default=0.200000003. Slope of hard sigmoid
`beta`	float, optional, default=0.5. Bias of hard sigmoid.
`name`	string, optional. Name of the resulting symbol.

out The result mx.symbol