HardSigmoid
Description
Receives an input tensor and generates an output tensor using HardSigmoid.

The input tensor is computed element-wise.
Input
x: input tensor of type float16 or float.
Attribute
- alpha: float. The default value is 0.2.
- beta: float. The default value is 0.5.
Output
y: output tensor of the identical data type and shape to the input.
Constraints
None.
ONNX Opset Support
Opset v1/v6/v8/v9/v10/v11/v12/v13/v14/v15/v16/v17/v18
Parent topic: Supported ONNX Operators