HardSigmoid

Description

HardSigmoid receives an input data (tensor) and generates an output data (tensor). The HardSigmoid function y = max(0, min(1, alpha * x + beta)) is applied to tensor elements.

Input

One input:

X: tensor of type float16 or float.

Output

One output:

Y: tensor of type float16 or float.

Property

alpha: float. Defaults to 0.2.

beta: float. Defaults to 0.2.

ONNX Opset Support

Opset v1/v6/v8/v9/v10/v11/v12/v13/v14/v15/v16/v17/v18