ngraph.hard_sigmoid¶
- ngraph.hard_sigmoid(data: _pyngraph.Node, alpha: Union[_pyngraph.Node, int, float, numpy.ndarray], beta: Union[_pyngraph.Node, int, float, numpy.ndarray], name: Optional[str] = None) _pyngraph.Node¶
Perform Hard Sigmoid operation element-wise on data from input node.
- Parameters
data – The node with data tensor.
alpha – A node producing the alpha parameter.
beta – A node producing the beta parameter
name – Optional output node name.
- Returns
The new node performing a Hard Sigmoid element-wise on input tensor.
Hard Sigmoid uses the following logic:
y = max(0, min(1, alpha * data + beta))