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.. _op_ai_onnx_HardSigmoid-1:

HardSigmoid - version 1
=======================

This page documents version **1** of operator **HardSigmoid**. See :doc:`HardSigmoid` for the latest version (since version 22).

- **Domain**: ``ai.onnx``
- **Since version**: 1

HardSigmoid takes one input data (Tensor ) and produces one output data
(Tensor ) where the HardSigmoid function, y = max(0, min(1, alpha \* x + beta)),
is applied to the tensor elementwise.

**Inputs**

- **X** (*T*): Input tensor

**Outputs**

- **Y** (*T*): Output tensor

**Attributes**

- **alpha** (*float*): Value of alpha default to 0.2
- **beta** (*float*): Value of beta default to 0.5

**Type Constraints**

- **T**: Constrain input and output types to float tensors.
  Allowed types: tensor(double), tensor(float), tensor(float16).